cana: A Pathfinder

This is a computer-generated pathfinder created against the Distant Reader study called cana.

Each Distant Reader study carrel is composed of many individual items. Each item is bibliographically described with author, title, date, summary, and keyword values. Below is a list of the items' most signficant keywords as well as lists of the items themselves. Purpusing the content of this pathfinder provides the student, researcher, or scholar with one way to get their heads around the scope of the carrel. The keywords include:

Data; Learning; Model; System; Issn; Accuracy; Time; Detection; Machine; Performance; Network; Systems; Energy; Communications; Security; Models; Classification; Management; Power; Image; Education; Method; Graph; Algorithm; Training; Feature; Development; Optimization; Students; User; Networks; Information; Disease; Quality; Technology; Hybrid; Control; Flow; India; Methods; Design; Algorithms; Communication; Key; Nonlinear; Set; Fuzzy; Techniques; Temperature; Health; Encryption; Heat; Function; Efficiency; Process; Decision; Quantum; Value; Cost; Fluid; Water; Media; Layer; Differential; Challenges; Concrete; Work; Text; Use; Distribution; Market; Nodes; Intelligence; Step; Business; Demand; Patient; Language; Engineering; Sustainability; Customer; Theory; Table; Approach; Point; Load; Problem; Food; Women; Marketing; Regression; Factors; Equation; Mathematics; Strength; Forest; Edge; Consumption; Satisfaction; Memory; Matrix; People; Equations; Practices; Input; Knowledge; Space; Factor; Solution; Public; Frequency; Values; Level; Growth; Teaching; Order; Fault; Mean; Green; Vision; Crop; Group; Index; Policy; Treatment; Construction; Sets; Parameter; Stress; Literature; Soil; Life; Cryptography; Material; Transportation; Leadership; Plant; Stability; Error; Building; Structures; Size; Delay; Maintenance; Filter; Tumor; Eye; Infrastructure; Investment; Structure; Items; Motor; Series; Reliability; Court; Module; Products; Population; Class; Phase; Map; Chaos; Probability; Vertex; Physical; Numerical; Identity; Neutrosophic; Harmonic; Concentration; Indian; Geometry; Transformer; Cells; Society; Functions; Ranking; Nano; Stochastic; Transform; Rainfall; Coloring; Domination; 𝑉(𝐺; Total; Heritage; Dominating; Theorem; Labeling; Seismic; Symmetry; 𝑖=1; Acid; Storey; Max; Impedance; Portfolio; 0,0; Cmos; Motion; I=1; Working; Inequality; Male; Rotation; Digraph; 𝑘=1; Quasi; Sin; Element; Ring; Peak; Pepper; 𝑇𝑎′; 𝔼ℜℛ; 0.7,0.9; Ɉn+1; Γ2,𝑘; Γ𝔮(𝛼; 𝐿(𝐺; Hnf; ; 𝔹𝕍𝕄𝕀𝔽𝕊ℝ; Nssg; E(g; Nano*gα; 𝑋,; ℱϱ𝑝+1; Δgα; ℵ||𝒟; 𝐷𝐹𝑇𝐼; 𝔚𝜍̃; 𝒥0,𝐵; Cone; Ternary; K(x; 𝐿2(ℝ; Comcifsbs; 2.10)𝑈; Log∏; 𝑆(𝑋; 𝑂(1; 𝑅𝜌,µ; Pebbles; 𝑋2)𝑋3; 1)(𝐸; 𝐵𝑛𝑘; 𝑀𝐴𝐿; 𝑦(𝜑; 𝐴𝐵𝐶; 𝐸𝑄(𝐻1; 𝑝(𝑠; 𝐸(𝐹𝑝; Resp; 𝕎(𝕒; 𝑒𝑝𝑗; 𝐴𝑆𝑂(𝐺𝑆; 𝐽𝐴1; ℱ(ℜ𝑎𝑣; 𝐼𝑛⊗𝑅𝑗; 𝑅(𝐺; 𝐺𝑛(𝑇; 𝐵𝑉𝑀𝐼𝐹𝑁𝑆𝑅; August; Phys; Ded; Abnormalities; Invex; 𝑉ሺ𝐺ሻ; 𝑃𝑘[𝐴; 𝐿2(𝒱; Brow; Nvhss; ℌ𝜔0; Ψ=1; 𝕃2(0,1; 𝑝)𝑠; 𝒮ts; 𝐿−1; Hbo(z; 𝐺+(𝑍𝑛; Dual; s(a; Q(ψ; Radical; Γ𝑞(𝛼; Interpolation; 𝑆(𝐼1; Submodule; 𝑓(𝓏; 𝑚(ς

Depending on how this pathfinder was created, many of the bibliographic sections will include elaborations on the meaning(s) of the given keywords. These elaborations were generated by feeding the items' summaries to a large langauge model and asking the model to address the question, "What is X?", where "X" is the keyword. The result will be a few sentences of elaboration. Be forewarned. The elaborations are often plausible, but they should not be take as truth. Instead, they should be taken as points for consideration.

• Exploring the Opportunities of Fintech Services by L. Kuladeep Kumar (2024) - Wonglimpiyar at (2017a) Wonglimpiyar at defines fintech as financial services supported by technology that utilise integrated IT to enhance key performance, underscoring its advantages over traditional financial services in terms of speed, quality, and cost reduction. Despite challenges in India such as regulatory uncertainty, data privacy concerns, and financial inclusion gaps, FinTech has the potential to become a crucial facilitator for financial services in India, promoting economic growth and financial inclusion through a combination of technological expertise, capital investments, government policies, and regulatory frameworks. Keywords: analysis; banking; businesses; companies; customer; data; fintech; industry; innovation; quality; services; technology
• Hybrid Model for Intrusion Detection in Wireless Sensor Network: An Improved Class Imbalance Processing by Sravanthi Godala (2024) - Thus, enhancing the detection accuracy of intrusion detection in such contexts is critical. However, this work intends to propose intrusion detection in WSN with improved class imbalance processing. Keywords: correlation; data; detection; feature; intrusion; intrusion detection; maxout; model; vol; wsn
• Diabetic Prediction based on Machine Learning Using PIMA Indian Dataset by Merdin Shamal Salih (2024) - [18] N. K. Putri, Z. Rustam, and D. Sarwinda, Learning vector quantization for diabetes data classification with chi- square feature selection, in IOP Conference Series: Materials Science and Engineering, 2019, vol. 546, no. 5: IOP Publishing, p. 052059. A significant number of machine learning models, particularly those based on deep learning, function as opaque entities, hence posing challenges in comprehending the underlying mechanisms behind their predictions. Keywords: accuracy; analysis; classification; data; dataset; diabetes; learning; machine; model; prediction; support; svm; training; variables; vector; vol
• An Improved Information Retrieval System using Hybrid RNN LSTM for Multiple Search Engines by B. Sangamithra (2024) - They introduced a model architecture for LSTM RNN models that allows more efficient use of the model characteristics when building acoustic models for applications with an extensive vocabulary. LSTM RNN has been the subject of numerous research efforts. Keywords: analysis; data; hybrid; information; learning; lstm; memory; model; network; retrieval; rnn; search; system; text; vol; web
• Enhancing IoT-Enabled Wireless Sensor Network Performance through Adaptive Congestion Control: Investigation of Hybrid Aggregation and Scheduling Techniques by Shiv H. Sutar (2024) - Literature Review The literature surrounding congestion control in wireless sensor networks (WSNs) highlights various strategies aimed at mitigating the adverse effects of increasing data traffic and limited resources. To address these challenges, this paper proposes an optimal congestion control mechanism for IoT- enabled wireless sensor networks, leveraging a Hybrid Aggregation and Scheduling Technique. Keywords: congestion; control; data; energy; mechanism; network; sensor; wireless
• Enhancing Accuracy and Performance in Music Mood Classification through Fine-Tuned Machine Learning Methods by Shital Shankar Gujar (2024) - Introduction The study of music mood classification is both complicated and interesting. Music mood classification has relied on simple heuristics and hand tagging, which take a lot of time and are open to personal bias. Keywords: accuracy; analysis; classification; classifier; communications; data; feature; forest; issn; learning; machine; model; mood; music; random; vol
• Fog Computing Simulators: A Comprehensive Research and Analytical Study by Rushikesh Rajendra Nikam (2024) - Fog computing simulators like iFogSim, YAFS, and LEAF provide diverse functionalities tailored to different research needs. In reviewing fog computing simulators, several key aspects stand out. Keywords: analysis; computing; data; fog; healthcare; leaf; performance; simulators; yafs
• ARRN: Leveraging Demographic Context for Improved Semantic Personalization in Hybrid Recommendation Systems by Harshali Bhuwad (2024) - These findings underscore the potential of ARNN in enhancing recommendation system performance and highlight its superiority over baseline models in user-item rating prediction tasks across different dataset partitions. This paper introduces the Attentive Recurrent Recommender Network (ARRN), a novel approach that addresses the challenge of incorporating demographic information into recommendation systems. Keywords: age; algorithms; analysis; arnn; arrn; data; information; item; model; performance; recommendation; recommender; systems; user
• Emerging power of ICT in healthcare: Insights from survey-based investigation by Rushikesh Rajendra Nikam (2024) - By implementing the 'Trusted Fog Framework', this research aims to demonstrate how fog computing can revolutionize healthcare ICT by providing superior security measures and supporting real-time data processing demands. However, despite its widespread adoption, notable challenges persist in terms of ICT security and effective utilization, particularly in developing countries such as India, where demographic factors exert a significant influence on its implementation. Keywords: challenges; data; healthcare; ict; information; patient; security; survey; technology; usage
• Air Pollution Detection in Surrounding with the Help of IOT by Kaushalya Thopate (2024) - It discusses the different types of errors that can occur in air pollution sensors and the different approaches to calibration. It also discusses the challenges of calibrating air pollution sensors in the field[15]. Keywords: air; calibration; cost; data; gas; monitoring; nodemcu; pollution; ppm; quality; sensor; system
• IOT Based Induction Motor Health Surveillance System by Detecting Vibrations and Monitoring Temperature by Kaushalya Thopate (2024) - Here are some potential applications of this type of vibration: • Vibration motors: Vibration motors are used in a variety of devices, such as cell phones, pagers, and video game controllers. Vibration motors work by creating a sinusoidal vibration, which is felt by the user as a buzz or rumble. Keywords: analysis; data; induction; motor; paper; research; sensor; system; temperature; time; vibration; vibration sensor
• Promoting Fairness in Recommender Systems: A Multifaceted Approach by Harshali Bhuwad (2024) - This clickstream bias might cause Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 5s (2024) 512 https://internationalpubls.com the algorithm to choose sensationalised information over more insightful recommendations, as [1] pointed out in their research on recommender system biases. [13] e. a. Eynul, Talha, Fairness in recommendation systems: A survey, ACM Computing Surveys (CSUR) 54.1, 2020, pp. Keywords: algorithms; bias; biases; data; fairness; metrics; recommendations; recommender; recommender systems; systems; user
• Innovative Energy Prediction using Kolmogorov-Arnold Networks (KAN) and Liquid Neural Networks (LNN) for Smart Grids by Harish Morwani (2024) - No. 6s (2024) 74 https://internationalpubls.com Innovative Energy Prediction using Kolmogorov-Arnold Networks (KAN) and Liquid Neural Networks (LNN) for Smart Grids Dr. Harish Morwani1, Dr. Jaimin Jani2, Dr. Parimalkumar Patel3, Prof. Hitendra B. Vaghela4, Prof. Swapna Pawar5, Prof. Kamakshi V. Kaul6 1Associate Professor, Department of Computer Sciences and Engineering, IAR University, Gandhinagar, harish.morwani@iar.ac.in 2Assistant Professor, Computer Engineering Department, Ahmedabad Institute of Technology, Ahmedabad, drjaiminhjani@gmail.com 3I/c Principal, Khyati School of Computer Application, Ahmedabad, patelparimalp@yahoo.com 4Assistant Professor, Electrical Engineering Department, Vishwakarma Government Engineering College, Ahmedabad, hbvaghela@vgecg.ac.in 5Assistant Professor, Mechanical Engineering Department, Vishwakarma Government Engineering College, Ahmedabad, sapawar@vgecg.ac.in 6Assistant Professor, Instrumentation and Control Engineering Department, Vishwakarma Government Engineering College, Ahmedabad, kamakshikaul@vgecg.ac.in Article History: Received: 24-05-2024 Revised: 29-06-2024 Accepted: In this paper, we propose a novel approach for predicting energy consumption in smart grids that combines the strengths of Kolmogorov-Arnold Networks (KANs) and Liquid Neural Networks (LNNs). Keywords: data; energy; model; networks; neural; ━ 0s
• An Approach to Develop Cerebra-Vascular-Haemato-Cardiac Detector using Machine Learning Techniques by Shambhu Nath Saha (2024) - The incorporation of background knowledge from other datasets has the potential to enhance the accuracy of stroke prediction models. This paper proposes the early prediction of stroke diseases using diverse machine learning approaches, considering factors such as hypertension, body mass index, heart disease, average glucose level, smoking status, previous stroke, and age. Keywords: accuracy; algorithms; analysis; cardiac; classifier; data; detection; learning; machine; prediction; stroke
• Nonlinear Dynamics in Distributed Ledger Blockchain and analysis using Statistical Perspective by Purnendu Bikash Acharjee (2024) - It provides data storage The basic idea to raise data storage, transport, and analysis accuracy by means of efficiency enhancement is integrating deep learning models with distributed ledger technologies. Keywords: analysis; blockchain; data; dynamics; efficiency; method; model; nonlinear; performance; size; storage; systems; time; transmission
• Innovations in Geospatial Data Analysis: Applied Nonlinear Analysis, Remote Sensing, AI, and GIS for Environmental Sustainability by C. Sudha (2024) - Cross-disciplinary collaborations and standardized methodologies should be prioritized to further enhance the practicality and reliability of water level prediction models. For instance, in case of water resource mappings, the rainfall patterns in the region can hold clues to the water table levels in the region. Keywords: accuracy; algorithms; analysis; data; dataset; ensemble; learning; machine; mapping; model; potential; water; 𝑀 𝑊𝑇
• Synergizing Remote Sensing, Geospatial Intelligence, Applied Nonlinear Analysis, and AI for Sustainable Environmental Monitoring by N. Shanmugapriya (2024) - Assessing these measures together gives a thorough comprehension of how well a land cover classification model achieves specified goals. Remote sensing image classification: A comprehensive review and applications. Keywords: accuracy; analysis; classification; data; images; land; learning; model; remote; satellite; sensing; training; vgg16
• A Multi-View Deep Learning Approach for Enhanced Student Academic Performance Prediction by V. Bakyalakshmi (2024) - Hence, this paper proposes an EGAN with Improved SADDL (EGAN-ISADDL) model based on multi-view learning for predicting student academic performance. Conclusion This paper presents the EGAN-ISADDL model, a novel multi-view learning approach for predicting student academic performance. Keywords: accuracy; data; dataset; egan; features; learning; model; performance; prediction; saddl; student; view
• Enhancing Flight Delay Prediction and Classification Using a Hybrid Bi-LSTM: Machine Learning by Sivakumar Depuru (2024) - Keywords: flight delay prediction system, Bi-LSTM, LSTM, Deep graph embedded LSTM (DGLSTM), LSTM-AM 1. No. 6s (2024) 449 https://internationalpubls.com Figure 5: flight delay prediction system evaluated accuracy using various metrics Keywords: analysis; bilstm; data; deep; delay; flight; flight delay; learning; lstm; model; network; prediction; system; vol
• Implementation and Evaluation of Ensemble Learning Algorithm for Improved Drug Development by K. Vijayalakshmi (2024) - No. 6s (2024) 454 https://internationalpubls.com 1.1 Current context in drug development: Creating a brand novel pharmaceutical is an expensive and lengthy endeavor. Differences in predicted success rates across Phase II (first patient dosage) and Phase III (later stages of drug development) were especially large in 2012 for drug pipelines that had their genesis in 2007-2009. Keywords: algorithms; analysis; communications; data; development; drug; information; kumar; learning; machine; pharmaceutical; phase; protein; trial
• Application of Hybrid Deep Learning Algorithm for Sentimental Analysis & Emotional Behavior for Recognition and Classification on Twitter Data Set by Jayaprakash Vattikundala (2024) - Many models and methods have been created to detect the indications and symptoms of mental diseases using social media data because of its significant value in identifying persons at risk for depression or with additional mental illnesses. In this section, we review the literature on the subject of depression detection and the various methods that have been used thus far. Keywords: aco; algorithms; analysis; data; depression; health; learning; machine; media; mental; people; pso; svm; twitter; use; vol
• Detection of CKD Status using Feature Selection Approach based on Random Forest Classifier by Shibi Mathai (2024) - The study also tackles the challenges associated with evaluating CKD data in the presence of missing values. The main indicator for CKD stage classification is eGFR. Keywords: analysis; boruta; chronic; ckd; classification; data; dataset; disease; feature; kidney; methods; model; techniques
• Fuzzy Membership Partition Based Effective Hierarchical Agglomerative Flat Clustering Method for High Dimensional Data by S. Sivasankari (2024) - 4. shows the cluster density in terms of Average within cluster distance values. If 𝑆𝑂𝑆 = ∑ (𝑥𝑖 − 𝑥𝑛 𝑖=1 )2 < 0.4 6.4 Stop, otherwise continue with 6.1 Step 7 Assess Cluster quality using Average within cluster distance for the final clusters with, ∆(𝑆) Keywords: analysis; clustering; clusters; data; dendrogram; distance; method; number; table; threshold; time; value; vol
• An Improved Collaborative User Product Recommendation System Using Computational Intelligence with Association Rules by R. Renukadevi (2024) - After conducting a literature analysis, I have implemented a system that makes product recommendations to consumers. The use of product recommendations, or recommendation systems, is becoming more and more commonplace. Keywords: analysis; data; information; issn; model; precision; product; recommendation; systems; user; vol
• BlockFlyLEACH: Enhanced Energy Efficient for Dynamic Clustering in WSNs by N. Muthumani (2024) - BlockFlyLEACH aims to balance energy consumption across sensor nodes, reduce data transmission delays, and improve overall network reliability. Simulation results demonstrate significant improvements in network longevity, energy consumption, and data packet delivery rates compared to traditional LEACH and other existing clustering algorithms. Keywords: blockflyleach; cluster; clustering; data; energy; firefly; head; leach; network; nodes; protocol; sensor; wireless
• Revolutionary Data Deduplication with Fuzzy C-Means: Advancing Data Quality Management by P. Selvi (2024) - In this point, another procedure frequently applied in data clustering but especially for data deduplication is employed in this work to propose a new approach to data deduplication involving Fuzzy C-use (FCM) clustering. Keywords: Fuzzy C-Means, Deduplication, Decision Making, Accuracy, Integrity, 1. Introduction Data deduplication is one of the processes which can assist in making selections, predictions and obtaining improved decision via means of Data deduplication is the identification and organization of redundant data in a dataset. Keywords: analysis; approach; cloud; clustering; data; deduplication; fcm; information; means; process; time
• Optimizing Cluster Head Selection in Wireless Sensor Networks Using Mathematical Modeling and Statistical Analysis of The Hybrid Energy-Efficient Distributed (HEED) Algorithm by Sandip Kanase (2024) - The results stressed the method's brilliance in extending network lifetime and improving energy efficiency spanning many node configurations and simulation times since they revealed appreciable increases in energy consumption, end-to---end delay, packet loss rate, and drop rate of active sensor nodes. By means of enhanced clustering and routing techniques, this work addresses the main problem of increasing WSN performance, hence improving energy efficiency, throughput, and network lifetime. Keywords: ann; cluster; data; efficiency; energy; head; lifetime; method; network; node; packet; routing
• Mathematical Models of Nonlinear Phenomena in Wireless Security by Milindkumar Namdevrao Dandale (2024) - This paper offers a new mathematical model combining nonlinear fractional objective functions inside artificial neural networks (ANNs), hence improving the detection and control of malicious node propagation. [14] Numerical Scheme Applies fractal fractional differential operators; stability analysis via Banach contraction technique Enhanced stability analysis of neural networks; novel insights into network security dynamics. Keywords: analysis; code; data; dynamics; fractional; function; method; model; network; propagation
• A Review of Machine Learning Application in the Talent Acquisition Process by Supriya P. Inamdar (2024) - ML algorithms have the potential to mitigate human biases in hiring decisions significantly. Our examination of several studies reveals that ML algorithms significantly enhance efficiency, accuracy, and decision-making across various TA functions. Keywords: acquisition; algorithms; analysis; candidate; data; decision; learning; research; talent; talent acquisition
• Exploring Applied Nonlinear Analysis and Machine Learning in The Evolution of Blockchain Technology by Neelima Priyanka Nutulapati (2024) - The proposed method consists in preprocessing healthcare data, training an SVM model to recognize and anticipate access patterns, and embedding these predictions into blockchain transactions to maximize data storage and retrieval operations. By means of SVM model optimization, one can tackle the computational challenges so guaranteeing fast transaction validation and efficient use of resources. Keywords: accuracy; analysis; blockchain; data; function; learning; model; performance; svm; technology; training; transaction
• Advanced Statistical and Nonlinear Analysis Techniques for Deep Learning in MBA Education by S. Cynthiya Margaret Indrani (2024) - Second, the interpretability of the models creates major problems since teachers need to understand the underlying reasons behind the predictions of deep learning models to implement effective interventions. This model is supposed to improve the prediction capacity and interpretability of deep learning models by focusing on the most relevant aspects in the data, thereby leading improved decision-making and personalized learning recommendations. Keywords: accuracy; analysis; attention; data; dran; function; learning; model; performance; student; testing; training; validation
• Applied Nonlinear Analysis of Deep Learning Models in MBA Streams: A Mathematical and Statistical Perspective by Somasekhar Donthu (2024) - Deep RBF network frequently achieves lower Mean Absolute Error (MAE), lower Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 1074-133X Vol 31 No. 7s (2024) 64 https://internationalpubls.com Deep RBF network accuracy shows a consistent trend over multiple sample sizes. Keywords: analysis; data; deep; layer; learning; network; performance; rbf
• Integrating Nonlinear Dynamics and Statistical Methods in Deep Learning Models for Biochemical Component Analysis by Swamydoss D (2024) - Still, the relatively new and growing discipline of including nonlinear dynamics into deep learning models offers the means for more accurate and interpretable study of biological data [5]. While current methods such DeepBIO, NNLM, and UniDL4BioPep show great advancement in their respective sectors, nonlinear dynamics still cannot be effectively added into deep learning models for biochemical component analysis. Keywords: accuracy; analysis; data; dynamics; interpretability; learning; loss; methods; model; network; system
• Nonlinear Regression Based Deep Radial Basis Function and Advanced Image Processing in Soil Estimation by Atish Mane (2024) - By means of non-linear regression for feature extraction and deep RBF networks for classification, one can enhance the scalability and precision of soil nutrient estimate. Novelty In this work, the new combining of deep RBF networks for classification with non-linear regression for feature extraction is presented. Keywords: basis; data; deep; function; layer; linear; model; network; rbf; regression; soil; training
• A Novel AFR Encryption Algorithm for Secure Data Transmission by S.Muthusundari (2024) - It was describing the enhanced complexity of data encryption due to multiple levels of operations of single phase encryption techniques in cryptography. A new encryption algorithm and a new architecture for data encryption and decryption was proposed by Prof. Swapnil Chaudhari1, Mangesh Pahade et.al[13]. Keywords: algorithm; data; encryption; location; matrix; process; security; text
• Hybrid Recommender System Using CNNs, Bi-Directional RNNs, and Autoencoders by Naveen Kumar Navuri (2024) - In recent years integration of deep learning models into recommendation systems had demonstrated significant promise in addressing these limitations. Although significant advancements have been achieved in the creation of deep learning models for recommendation systems, there are still multiple domains that require further enhancement. Keywords: analysis; cnn; data; features; hybrid; learning; model; networks; recommendation; recommender; rnn; systems; user; vol
• Prediction of Air Quality Index and Air Quality Levels in Guwahati-India Using Machine Learning: A Comparative Study by Joshua Remlalliana (2024) - In this study, the effectiveness of hybrid models might vary according to the characteristics of air quality data in different locations and computational complexity or scalability of the proposed hybrid models were not resolved. Comparison for AQI models Table 4 showed the comparison of ML models for predicting AQI between actual data and transformed data. Keywords: accuracy; air; air quality; analysis; aqi; classification; data; fig; guwahati; health; issn; models; pollutants; pollution; prediction; quality; regression; study; vol
• Trajectory Data Driven Driving Style Recognition for Autonomous Vehicles Using Unsupervised Clustering by Abhishek Dixit (2024) - 20-07-2024 Abstract: Introduction: This research focuses on enhancing the understanding and classification of vehicle driving styles by analyzing extensive trajectory data. Objectives: The primary objective of this study is to classify vehicle driving styles into distinct categories like aggressive, moderate, and traditional by leveraging unsupervised learning techniques. Keywords: analysis; clustering; data; driving; styles; time; vehicles; vol
• Mathematical Framework for Enhancing Machine Failure Prediction in Aviation and Beyond: Leveraging Deep Convolutional Neural Networks and Visual Analytic by Jalajakshi V (2024) - EBRULE enables battery RUL prediction directly on an edge device. As technology continues to advance, integrating sophisticated predictive models with comprehensive datasets will further refine the accuracy and relevance of RUL predictions across various industries. Keywords: analysis; approach; data; engine; life; maintenance; model; performance; prediction; rul; time; vol
• Handling Missing Data through Artificial Neural Network by Geeta Chhabra (2024) - 31-07-2024 Abstract: Missing data is a difficult problem to solve when working with real-world datasets. Missing data can be found in a variety of areas, including gene expression, traffic control, industrial informatics, image processing, and software development. Keywords: analysis; classification; data; dataset; imputation; learning; mice; network
• Mathematical Operations Research for Deep Learning-Based Beamforming in WCS by K.Sudharson (2024) - 24-06-2024 Abstract: This paper presents a novel approach to enhance wireless communication systems using deep learning-based beamforming for signal processing. Introduction The evolution of wireless communication systems has been instrumental in shaping modern society, facilitating ubiquitous connectivity and enabling a wide range of applications spanning from mobile communication to Internet of Things (IoT) devices [1]. Keywords: beamforming; communication; data; deep; dlbeamnet; learning; model; signal; systems; vol; wireless
• Mathematical Optimization of Energy Utilization in Smart Meter Analytics Using Liquid Neural Networks by N.S.Usha (2024) - IntelliMeter represents a significant advancement in smart meter data analytics, offering utilities actionable insights for optimizing energy distribution, minimizing operational costs, and enhancing grid stability. IntelliMeter represents a significant leap forward in smart meter data analytics, offering utilities a powerful tool for unlocking the full potential of smart meter data. Keywords: analysis; analytics; consumption; data; data analytics; energy; grid; learning; lnn; meter; meter data; model; optimization; techniques; vol
• IoT-Enabled Real-Time Monitoring and Machine Learning-Based Prediction System for Optimizing Tea Withering Process by B. Rajkumar (2024) - Machine learning models are capable of analyzing large datasets Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 In this research, machine learning models such as XGBoost and LightGBM are used to predict moisture content based on environmental conditions[3]. Keywords: analysis; content; data; humidity; iot; learning; machine; machine learning; models; moisture; moisture content; process; quality; sensor; system; tea; temperature; time; withering; xgboost
• Fuzzy Horizon: Unveiling the Fog of Uncertainty with Cognitive Cartography and Fuzzy Logic Fusion by Kiran Sree Pokkuluri (2024) - A fuzzy logic framework for cognitive decision support systems. Fuzzy logic in cognitive systems: A comprehensive review Neural Computing and Applications Provides a comprehensive review of fuzzy logic applications in cognitive systems. Keywords: approach; cartography; cognitive; data; decision; environments; logic; making; management; system; uncertainty
• Harnessing Machine Learning for Metagenomics: Discovering the Invisible Microbial World by S. Sabaria (2024) - Machine learning models can process complex, high- dimensional data, enabling researchers to make more informed predictions about microbial roles in various ecosystems. Incorporation of Explainable AI (XAI): Model Interpretability: Implement XAI techniques, such as SHAP (SHapley Additive exPlanations) values and LIME (Local Interpretable Model-agnostic Explanations), to provide insights into the decision-making processes of machine learning models. Keywords: analysis; communications; data; doi; issn; learning; machine; metagenomics; system; vol
• Turbocharged AI: Harnessing Federated Learning and Model Parallelism for Efficient Deep Learning on Distributed System by Sheela Hundekari (2024) - The advent of federated learning and model parallelism has introduced groundbreaking methodologies for training deep learning models on distributed systems. Concurrently, model parallelism, which involves splitting a large model across multiple devices for parallel computation, has become critical in managing the growing complexity and scale of deep learning models (Chen et al., 2022; Rengasamy et al., 2022). Keywords: data; devices; edge; learning; model; parallelism; privacy; systems; training
• A Mathematical Real Analysis on 2D Connection Spaces for Network Cyber Threats: A SEIAR-Neural Network Approach by Sailaja Ayyalasomayajula (2024) - No. 8s (2024) 179 https://internationalpubls.com A Mathematical Real Analysis on 2D Connection Spaces for Network Cyber Threats: A SEIAR-Neural Network Approach Sailaja Ayyalasomayajula1, Deepak Dasaratha Rao2, Mohit Goel3, Shahnawaz Khan4, P.K.Hemalatha5, Prashant Kumar Sahu6 1School of Business and Technology, Aspen University, Arizona, USA 2Indian Institute of Technology, Patna 3Bachelor of Technology in Computer Science, Dr APJ Abdul Kalam Technical University, Lucknow 4Master of computer application, Bundelkhand university, Jhansi , UP , India 5 Dept of Mathematics, Vel Tech Rangarajan Dr Sagunthala R & D Institute of science and technology Chennai , India 6Applied Physics, Bhilai Institute of Technology, Durg (C.G.) 1Sailaja.ayyala@outlook.com, 2deepakrao@ieee.org, 3mohit.knit@gmail.com, 4shanawaz.qa@gmail.com, 5pkhemalathamsc@gmail.com, 6prashantsahu_27@yahoo.co.in Corresponding author: 1Sailaja.ayyala@outlook.com Article History: Received: 22-04-2024 Revised: 12-06-2024 Accepted: 25-06-2024 Abstract: This article examines this problem by deploying the mathematical modelling, specifically compartmental SEIAR model to simulate and analyse cyberattack on a number of devices linking with a server. No. 8s (2024) 180 https://internationalpubls.com 1. Keywords: analysis; attack; communications; cyber; data; devices; figure; ieee; issn; learning; method; model; network; nonlinear; security; system; vol
• Advanced Cybersecurity Enhancement through Mathematical Models: A Comprehensive Approach Using Statistical Methods, Cryptographic Techniques, and Machine Learning Algorithms (SVM, Random Forest, and Neural Networks) for Behavior-Based Malware Detection by Ahmed Alghamdi (2024) - No. 8s (2024) 218 https://internationalpubls.com Neural Networks can be combined with other machine learning algorithms like SVM and Random Forests to yield hybrid models that have higher detection accuracy and greater stability. It illustrates how significant reductions can occur at timescales from milliseconds (for those people who work in cloud computing) to seconds with hybrid models Keywords: analysis; behavior; cybersecurity; data; detection; forest; hybrid; issn; learning; machine; malware; malware detection; methods; model; security; techniques; vol
• A Mathematical and Hybrid Deep Learning Model for Real-Time Intrusion Detection in IoT-Based Electric Vehicle Charging Stations by Adil Fahad (2024) - The first part of the EDM is Edge-IioT set, which requires extensive preprocessing for ensemble model to succeed. The results for 15-Class Classification 15-class classification was also tested to the limit of innovation with ensemble model as diverse cybersecurity threats come in variety each has own signature and behaviour. Keywords: analysis; charging; classification; communications; cyber; cybersecurity; data; detection; energy; evcs; figure; gru; intrusion; iot; issn; learning; lstm; model; network; nids; security; systems; time; vol
• A Mathematical Framework for Enhancing IOT Security in VANETs: Optimizing Intrusion Detection Systems through Machine Learning Algorithms by Divya Mishra (2024) - [3] Altwaijry, H.: Bayesian based intrusion detection system. A study on nsl-kdd dataset for intrusion detection system based on classification algorithms. Keywords: accuracy; algorithms; analysis; attacks; communications; data; detection; ids; intrusion; intrusion detection; issn; learning; machine; model; networks; node; optimization; performance; security; svm; system; traffic; vanet; vol
• Machine Learning Infused Approach for Advancing Legal Predictive Analytics by Aastha Budhiraja (2024) - The goal of the research is to use topological learning techniques to increase the accuracy and efficiency of legal decision prediction models. This research uses a cohesive mix of machine learning techniques and semantic analysis methodologies to present a complete framework for legal case outcome prediction. Keywords: accuracy; analysis; case; court; data; decision; documents; feature; learning; machine; model; network; prediction; similarity; techniques
• Integrating Cryptographic Techniques with Machine Learning Algorithms for Enhanced Data Privacy and Information Security: A Mathematical Framework by J Merlin Florrence (2024) - In table 5, LWC algorithms in ML models are evaluated, showing the message size and its relevance with upper LWC bound chosen algorithm affecting model performance for accuracy as well as precision,recall,F1-score metrics. Comparison of different ML models with parameter “Precision” Using Table 3, The correctness of ML models are affected by different attributes such as algorithm choice, data size and complexity of the features or similarity between relevant examples along with irrelevant ones. Keywords: algorithms; analysis; communications; data; encryption; esam; healthcare; iot; issn; learning; lwc; models; performance; precision; privacy; rctngle; rince; sea; security; size; vol; xet
• Empowering Customer Feedback Analysis through LSTM-Enhanced Natural Language Processing on Audio Recordings by Sapna Sharma (2024) - In navigating the dynamic landscape of customer feedback analysis, this research embarks on a comprehensive exploration into the innovative domain of silent feedback systems, strategically incorporating the capabilities of Natural Language Processing (NLP) applied to audio recordings [1]. As our research progresses, it becomes evident that this systemic integration has the potential to redefine the entire landscape of customer feedback analysis, ushering in a new era of customer-centric business practices [4]. Keywords: accuracy; amazon; analysis; audio; customer; data; feedback; language; lstm; model; nlp; processing; research; sentiment
• Mobile Based Emergency Alert System for Intensive Care Unit (ICU) Staff by Kaushalya Thopate (2024) - [5] gives information on using LPWN (low power wireless network) in Iot for Health monitoring systems also it has a lot more focus on the security in Health Monitoring systems. This research paper provides insightful information regarding how the heart patients can be treated and monitored for heart failures using an end to end healthcare monitoring system and analytic system for heart failure patients[10]. Keywords: analysis; data; health; light; monitoring; oxygen; paper; saturation; spo2; system
• A Deep Learning-Based Model for the Detection and Tracking of Animals for Safety and Management of Financial Loss by Nidhi Jain (2024) - But the accuracy of detection does not attract much attention due to traditional used detection model. The results showed the effectiveness of the proposed deep learning-based model for animal detection and tracking in agricultural fields. Keywords: animals; crop; data; detection; iot; model; processing; video; vol
• An Efficient Integrity Controlled CP-ABE(IC-CPABE) for Audio Cloud Block Chain Transactions by Dhanaraju Murala (2024) - Existing techniques in data security, such as using smart contracts, access control models, etc, ensure a certain degree of security for data sharing among users, but may not be suitable for very specific features of audio data [3–4]. Keywords: data integrity, group access control, cloud data security, encryption, block- chain. Keywords: abe; access; analysis; audio; blockchain; cloud; communications; data; encryption; group; hash; hashing; integrity; issn; key; security; system; user; vol
• Explore the Integration of Multimodal Inputs with Facial Expressions for More Comprehensive Emotion Recognition by Malika Falak Naaz (2024) - In multimodal emotion recognition systems, it's important to get useful signs that show emotional states across different modes by extracting features from speech, text, and facial expression data. Applications and Use Cases A. Practical applications of multimodal emotion recognition systems This capability helps in personalized patient care and faster interventions, generally improving health outcomes [21]. Keywords: analysis; data; emotion; expressions; feeling; information; issn; learning; multimodal; recognition; speech; systems; text; time; vol
• Advanced Modeling Techniques for Predicting and Enhancing Drilling Performance: A Comprehensive Review by Yogesh dinkar Jadhav (2024) - To begin with, it makes estimates more precise and reliable by blending the data-driven insights of machine learning with the essential understanding that physics- based models deliver. By utilizing ancient burrowing information to prepare their calculations, machine learning models can discover complex designs and associations that people might not see at to begin with look [2]. Keywords: analysis; bit; boring; data; drilling; execution; information; learning; machine; methods; modeling; models; operations; penetrating; strategies; time
• Saddle Point Techniques to Create Resilient Estimators for Cross-Variograms and Accurate Approximations of Their Distributions by Mohanad N. Abdul Sayed (2024) - In summary, our research tackles the limitations of ebb and flow cross-variogram estimators by presenting innovative and state-of-the-art vigorous estimators that prioritize location estimation. To achieve this, we embark on the journey with the traditional approach of moments estimator, which is elegantly defined as: 2ξ𝑖�̂�(k) Keywords: analysis; cross; data; estimation; estimators; model; point; variogram; 𝑡 +
• A Mathematical Modelling for Three-Factor Quantum Biometric Authentication Using Machine Learning, Double-Layer Encryption, Cryptographic Algorithms by Amit Jain (2024) - [3] Alsaadi IM (2015) Physiological biometric authentication systems, advantages, disadvantages and future development: a review. 𝑣 = (𝑣1, … , 𝑣𝑛) ∈ ℝ𝑛 (1) biometric vector = (𝑏𝑣) = (𝑏𝑣1 , … , 𝑏𝑣𝑛) (1) Equation 1 describe the biometric vector of authentication system. Keywords: accuracy; analysis; authentication; behaviour; biometric; communications; cybersecurity; data; distribution; encryption; factor; issn; key; learning; machine; qkd; quantum; rate; security; system; user; vol
• A Hybrid Feature Selection through Ensemble Rank Aggregation to Improve Perdition and Classification Accuracy by Jismy Joseph (2024) - 3.2.4 RECURSIVE FEATURE ELIMINATION (RFE) RFE is an effective wrapper method for feature selection method because it selects features that are most useful for predicting the target variable. Literature Review It has been demonstrated that hybrid feature selection methods increase classification accuracy. Keywords: accuracy; aggregation; data; ensemble; feature; hybrid; rank; selection
• Enhancing IoT Fog Computing Security: A Dynamic Nonlinear Analytical Model-Based SDN Assessment Framework by P. Lokesh Kumar Reddy (2024) - The distributed nature of IoT and fog computing environments, combined with their inherent complexity and scalability requirements, makes them vulnerable to a wide range of security threats, from data breaches and unauthorized access to denial of service attacks. The data analysis focused on assessing the effectiveness of the framework in detecting and mitigating security threats, the efficiency of network resource management, and the impact on the latency and throughput of IoT applications. Keywords: computing; data; detection; environments; fog; framework; iot; network; sdn; security; threats
• Blockchain Based Analytical Bug Tracking in Software Engineering by T. Jhansi Rani (2024) - The decentralization, immutability, and transparency of blockchain technology have created a new opportunity to rethink bug tracking systems. The test results show that the proposed system not only meets, but in some cases exceeds, the performance standards of current bug tracking systems. Keywords: blockchain; bug; bug tracking; consensus; contracts; data; module; network; platform; pow; reports; security; software; system; tracking; tracking system; transactions
• Nonlinear Ensemble Deep Learning Model for Energy Consumption Prediction with Bayesian Optimization by Ejigu Tefera (2024) - Energy consumption prediction model with deep inception residual network inspiration and lstm. Traditional statistical and classical machine learning methods struggle with the nonlinear nature of energy consumption data, often leading to higher prediction errors. Keywords: analysis; base; cluster; clustering; consumption; data; energy; energy consumption; figure; forecasting; learning; load; lstm; model; nonlinear; performance; prediction
• Mathematical Modeling of Electrical Power Systems for Fault Detection by Pranoti Prashant Mane (2024) - 7. Conclusion The use of math to describe electrical power systems for problem detection is a major step forward in making sure that power systems are reliable and work well. Simulators that work in real time can act like real power systems, which can be used to test fault detection methods. Keywords: blame; control; data; detection; estimation; fault; frameworks; information; parameter; power; strategy; systems; time; vol
• Application of Linear Algebra in Image Processing for Medical Electronics by Sagar V. Joshi (2024) - For example, filtering processes based on convolution matrices are used to get rid of noise, boost contrast, and bring out features in medical pictures, which makes them easier for doctors to see and understand. Overall, combining linear algebra with image processing in medical electronics not only makes medical pictures better and easier to understand, but it also leads to new diagnosis tools and treatment plans. Keywords: analysis; change; data; image; imaging; information; issn; linear; matrix; picture; singular; strategies; time; vol; wavelet
• Enhancing Bright Band Prediction Through RadioSonde RadioWind for International Telecommunication Union- Radio Communications (ITU-R) by Likhitha Banredddy (2024) - Reliability of the RO approach was confirmed by the low bias it displayed when compared to radiosonde data. The findings indicate that BLH calculated from MWR is, on average, 157 meters higher than BLH generated from radiosonde data, with the least differences found between 08:00 and 20:00 BJT and in the spring and summer. Keywords: altitude; analysis; band; data; forecasting; india; meters; radiosonde; system; temperature; weather
• Implementing Real-Time Traffic Flow Prediction Using LSTM Networks for Urban Mobility Optimization by Divya Mahajan (2024) - In order for traffic prediction models to work, they need to be scalable and optimized enough for these large networks. The advantage in the performance of LSTM network is that it has a kind of memory cell, which remember previous states for long-period time ( let say n-steps back through time ) so that it can capture important temporal dependencies presented in traffic flow prediction data. Keywords: analysis; arima; data; flow; flow prediction; information; issn; learning; lstm; model; network; nonlinear; performance; prediction; real; road; systems; term; time; traffic; traffic flow; urban; vol; weather
• A Mathematical Model for Enhancing Cybersecurity in IoT Networks Using LSTM-Based Anomaly Detection and Optimization by J Merlin Florrence (2024) - Optimization algorithms dynamically adjust detection thresholds and allocate resources in order to ensure the accuracy of anomaly detection models while keeping them efficient even in large-scale IoT networks. Nonetheless, edge computing with anomaly detection models can be a challenging task since we have to deal with communication security between IoT devices and the edge servers as well as balancing accuracy in detecting anomalies vs latency. Keywords: accuracy; algorithms; analysis; anomaly; anomaly detection; data; detection; devices; hybrid; iot; learning; machine; machine learning; models; networks; optimization; security; time
• Attention Monitoring Using Eye Gaze with a Hybrid Ensemble Learning Approach by Ranjeet Bidwe (2024) - [5] M. Cheng and others, “Intelligent tool wear monitoring and multi-step prediction based on deep learning model,” J Manuf Syst, vol. 62, pp. By combining pre-trained models of interest with new attention-tracking layers, it is possible to generate a hybrid model. Keywords: accuracy; analysis; attention; data; eye; hybrid; learning; model; monitoring; order; pre; vgg16; vol; xgboost
• An Empirical Evaluation of Existing Methods used for Integrating Cybersecurity & Privacy Capabilities in Smart Farming Deployments by Ramesh Pandharinath Daund (2024) - Notably, it delves into a variety of approaches including, but not limited to, Advanced Encryption Standard (AES) for data security, Blockchain technology for ensuring data integrity and traceability, and Intrusion Detection Systems (IDS) for real-time monitoring of cyber threats. Blockchain technology has emerged as a promising enabler for enhancing data aggregation and security in smart agriculture systems Keywords: agriculture; analysis; applications; blockchain; challenges; communications; cyber; data; detection; discussion; doi; farming; https://internationalpubls.com; ieee; internet; iot; issn; keywords; learning; methods; privacy; scalability; scheme; security; smart; solutions; systems; things; vol
• Improving Software Defect Prediction Accuracy through Modified Entropy Calculation in the Random Forest Algorithm by Ranjeetsingh Suryawanshi (2024) - The contributions of a large number of academics and academicians have demonstrated that the likelihood of identifying software defect prediction models may be more cost effective than the probability of identifying defects through software inspections. It is possible to improve the quality of software defect prediction by including the best selected features into the Random Forest classification process. Keywords: data; defect; entropy; forest; learning; model; prediction; software; vol
• Research on Evaluation Model of Mobile Residential Space Based on Edge Intelligence by R. Kavitha (2024) - Assistant Professor, Department of Computer Science and Engineering, A.V.C. College of Engineering, Mayiladuthurai, Tamilnadu. Email:ramyaphd2021@gmail.com Article History: Received: 04-08-2024 Revised: 10-09-2024 Accepted: 21-09-2024 Abstract: With the rapid rise in the population, the demand for mobile residential space design has also increased accordingly. 3.3 Prediction of mobile residential space design by Edge-Based Spatial Adaptive Graph Convolutional Neural Network (E-SAGCNN) E-SAGCNN is employed to generate efficient plan for mobile residential space design. Keywords: analysis; data; design; edge; intelligence; layer; learning; methods; rnn; space; space design; vol; 𝐷𝑒𝑐; 𝐸𝑛𝑐
• A Novel Approach to Confidentiality Preservation in Big Data Using Distinct Contextual Sensitivity Hashing by Gowthami V (2024) - [8] investigated in an examination concerning data preserving techniques. This is the objective for the approach referred to as Distinct Contextual Sensitive and Hellinger Convolutional Learning (DCS-HCL) to ensure the confidentiality of enormous health care data with additionally optimising the value of data as well as reducing data loss. Keywords: analysis; approach; confidentiality; data; dcs; distinct; employing; hcl; hellinger; impact; information; loss; preserving; privacy; quasi; step; vol
• Hybrid Lexicon and Transformer-Based Sentiment Analysis of Student Feedback for Faculty Evaluation: A Speech-to-Text Approach by Helaria Maria (2024) - These libraries offer pre-built text processing operations and pre-trained models that can be fine-tuned for the specific task of educational sentiment analysis. These libraries offer pre-built text processing operations and pre-trained models that can be fine-tuned for the specific task of educational sentiment analysis. Keywords: accuracy; algorithms; analysis; data; feedback; learning; lexicon; machine; model; performance; research; sentiment; sentiment analysis; student; tensorflow; text
• Design of an Improved Model for Multimodal Data Fusion Using XGBoost-LSTM-CNN and Proximal Policy Optimizations by Vijaya Kamble (2024) - In addition, Kim and Kim have suggested the use of convolutional transformer models for multivariate time series prediction as a way to enhance feature extraction by incorporating transformer mechanisms. On the whole, though contributive in large measures within certain specific domains, those pertaining to time-series and multimodal data predictions, the integration of XGBoost, LSTM, CNN, PPO, and Bayesian Neural Networks has made the proposed model far more comprehensive, scalable, and adaptable. Keywords: accuracy; analysis; data; learning; lstm; method; model; multimodal; prediction; series; time; vol; xgboost
• FPGA Implementation of Compact Architecture for Lightweight Hash Algorithm for Resource Constrained Devices by Preeti R. Lawhale (2024) - Experimental Results and Discussion 4.1 Implementation flowchart Figure 2 depicts the implementation of proposed framework based on FPGA design. Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 2 (2025) 686 https://internationalpubls.com Figure.3 Simulation result of lightweight hash with input1 Figure.4 Simulation result of lightweight hash with input2 Tables 1 show the full implementation of SHA256 on a range of ALTERA FPGA devices. Keywords: analysis; architecture; conference; data; design; devices; doi; fpga; function; hardware; hash; implementation; iot; lightweight; message; performance
• Advanced Deep Learning Techniques for Information Security Vulnerability Detection Using Machine Learning by Champa Tanga (2024) - A lot of machine learning models actually depend on high-quality, labelled data sets, which are difficult to obtain in cyber security due to the fact that threats evolve quite rapidly. Reinforcement learning helps machine learning models act in addition to detecting against network security. Keywords: accuracy; analysis; bayesian; data; dataset; detection; information; issn; learning; machine; methods; models; network; security; techniques; threats; time; traffic; vol; vulnerability
• Review and Analysis of Mathematical Approaches for Adaptive Authentication using Machine Learning by Ritu Agrawal (2024) - 331–350, Beijing [21] Y. Meng, D.S. Wong, L.F. Kwok, Design of touch dynamics based user authentication with an adaptive mechanism on mobile phones, in Proceedings of the 29th Annual ACM Symposium on Applied Computing (ACM SAC), Gyeongju (2014), pp. [21, 22] then identified that the selection of classifiers may impact the authentication performance, so they designed an adaptive mechanism that can periodically select a better classifier to maintain the authentication accuracy during user authentication. Keywords: adaptive; algorithms; applications; authentication; data; learning; machine; rate; security; touch; user; vol
• Design of a Decentralized Authentication and Off-Chain Data Management Protocol for VANETs Using Blockchain by Misbah Kousar (2024) - Blockchain and IPFS: The proposed methodology emphasizes decentralized authentication and distributed data storage (events) by leveraging IPFS and blockchain technologies. The bar chart in Figure 1 illustrates a comparative analysis of the storage costs associated with different protocols for vehicle storage. Keywords: authentication; cost; data; event; ieee; key; network; protocol; rsu_a; step; storage; systems; tdisp; transactions; vehicle; vol
• Secure and Efficient Data Hiding in the Cloud with Quantum-Resistant Encryption by Salma Banu (2024) - 29-09-2024 Abstract: Traditional steganographic methods in multi-cloud environments face significant challenges in cloud security, including complex key management, high computational overhead, and vulnerabilities to various attacks regaring secure data concealment. The proposed approach mitigates the risks associated with multi-cloud environments and offers strong resistance to brute-force, differential, and steganalysis attacks. Keywords: attacks; cloud; data; encryption; key; lattice; quantum; security
• Cloud Guardian: A Comprehensive Approach to Cloud Security Posture Management with Automated Multi-Cloud and Container Security by G Sreenivasa Yadav (2024) - Case Study 2: E-Commerce Company – Securing Containers in a Hybrid Cloud Environment Background An e-commerce company running a hybrid cloud environment with on-premise Kubernetes clusters and cloud-based containers in AWS and Azure faced challenges in managing container security across its platforms. • Lack of Visibility Across Platforms: The security team lacked visibility into container security across both on-premise Kubernetes clusters and cloud-based containers, leading to difficulties in identifying and responding to vulnerabilities. Keywords: cloud; cloud guardian; compliance; container; data; environments; guardian; multi; platforms; policies; posture; security; threat; time; vulnerabilities
• Multichannel Data Acquisition and Monitoring System Utilizing Modbus Protocol with IIoT Automation by Vijaya N. Aher (2024) - MODBUS to USB Converter (TM-7561): The TM-7561 module is responsible for converting Modbus data into USB format, enabling communication between Modbus-enabled devices and computers or other digital systems for further data processing and analysis. No. 3 (2025) 453 https://internationalpubls.com implementing IIoT systems by 2022, aiming to improve productivity and energy efficiency . Keywords: acquisition; analysis; automation; communication; control; data; energy; et al; iiot; integration; journal; management; modbus; monitoring; protocol; sensors; smart; system; time; vol
• Trends and Growth of Productivity of Agricultural Sector using Statistics Through Machine Learning in Assam by Smrita Borthakur (2024) - Trend analysis have been done using Mann-Kendall test and Sen’s slope estimator. In parallel, Mann-Kendall and Sen's slope analysis has emerged as a powerful tool for trend analysis in agricultural economics. Keywords: agricultural; analysis; data; growth; issn; kendall; mann; productivity; test; trend; vol
• Simulation of Launch Pad Atomization for Military Weapon System by Vijaya N. Aher (2024) - Fig.1 Inclination angle in missile launching system. Fig.2 Hook Lifting in missile launching system Working: The Internet of Things (IoT) paradigm is integrated by the missile launching system. Keywords: analysis; cold; control; data; dynamics; inclination; launch; missile; model; system; target; time; trajectory; vol
• Optimization of Crop Yield Prediction Through Linear Modelling and Deep Learning Techniques Used in Precision Agriculture by Ramakrishna Kolikipogu (2024) - This research presents effective deep learning & dimensionality reduction (DR) methodologies for crop yield prediction (CYP) in Indian regional agriculture. Original Research Article A novel deep learning and Internet of Things (IoT) enabled precision agricultural framework for crop yield production. Keywords: agriculture; analysis; crop; cyp; data; dcnn; learning; machine; precision; prediction; yield
• Modeling GHQ Total and SDQ Difficulty Score to Extract Incomplete Information on One Using the Other by Alka Sabharwal (2024) - GHQ Diff score Diff score GHQ Diff score Diff score GHQ BVN Diff score           MVN was used to estimate GHQ scores through difficulty score dimension of SDQ and vice versa. Keywords: data; diff; difficulty; distribution; ghq; mean; score; survey; total
• Nonlinear Reinforcement Learning-Based Dynamic Test Case Prioritization with Anomaly Detection for Continuous Integration by Srinivasa Rao Kongarana (2024) - Test case prioritization (TCP) is a critical process that determines the order in which test cases are executed to maximize fault detection while minimizing testing time and resources. The reinforcement learning agent dynamically prioritizes test cases based on historical data, continuously learning and improving from an experience replay buffer. Keywords: case; data; detection; dynamicrl; fault; learning; prioritization; software; tcp; test; time; ✓ ✗; ✗ ✓; ✗ ✗
• An Analysis of Artificial Intelligence Implications and its Impact on Marketing. A Systematic Review by Simerjeet Singh Bawa (2024) - 11-10-2024 Abstract: Artificial intelligence (AI) is being used by marketers to track and forecast the future purchasing behaviour of their target audience and to gain further insights into their journey. The three areas of artificial intelligence that best demonstrate its potential are machine learning, big data, and resilient solution. Keywords: customer; data; intelligence; journal; marketing; research; use
• A New Heuristic Hybrid Model for Cancer-Based P-Glycoprotein Drug Classification: Automated Prediction by Mylavarapu Kalyan Ram (2024) - The values associated with the f-measure as they pertain to the classes of cancer sub cancer drug data sets are detailed in Table 3 Table 3 F-measure values F-measure Cancer drug data set datasets Implemented Approach CNN MECNet FCCNN Cancer-protein drug data set 0.96 0.72 0.91 0.84 Cancer-Protein drug data set 0.97 0.64 0.96 0.76 Cancer-Protein drug data set 0.97 0.81 0.89 0.79 Cancer-Protein drug data set 0.98 0.86 0.95 0.81 Cancer-Prtoein drug data set 0.99 0.79 0.91 0.78 Whenever we provide a number of cancer subcancer drug data sets, NHHM outperforms CNN, FCCNN, and MECNet, as demonstrated in figure 6, which compares the performance of the suggested approach with that of traditional approaches Figure 6. The suggested method yields 99% accuracy from average sub cancer drug data sets whenever there is an improvement to the class of cancer drug data sets Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 1s (2025) 175 https://internationalpubls.com Figure 5: Evaluates the recall performance using various cancer subcancer drug datasets While competing approaches provide inconsistent results when it comes to retrieving useful information from various satellite cancer sub cancer drug databases. Keywords: analysis; cancer; cancer drug; cnn; data; data sets; drug; drug data; figure; glycoprotein; methods; prediction; sets; sub; sub cancer; subcancer; vol
• Integrating Diverse Data Streams for Enhanced Emotional Intelligence in Mental Health Care by Asha Priyadarshini.M (2024) - Enhancing Model Performance: Investigating advanced deep learning architectures and exploring transfer learning techniques to improve the accuracy and efficiency of emotion recognition models. Ethical Considerations: Addressing ethical challenges related to privacy, data security, and bias in emotion recognition systems. Keywords: analysis; audio; data; emotion; learning; models; recognition; suicide; system; text
• Enhancing Cognitive Radio Network Through the Novel Optimization Process and Deep Learning Model in the Transverse System by K. Rama Krishna (2024) - To the best of the researcher's knowledge, no previous study has optimised Cognitive Radio networks such that power use, spectrum usage efficiency, and exposure are all considered. Researcher found out how much better cloud-based network management for Cognitive Radio technology compared to standard distributed design by with a new multi-objective optimisation method for Cognitive Radio networks. Keywords: bss; data; design; exposure; fig; interference; network; optimisation; pareto; power; radio; spectrum; use; user; utilisation
• Enhancing Cloudburst Prediction System Using Bi-LSTM in Realtime: Machine Learning by B.Ramasubba Reddy (2024) - With the advancements in technology like the Internet of Things, Wireless Sensor Networks, and Cloud Computing, weather data is now available in various formats and large volumes. Machine learning models like regression, decision trees, random forests, and neural networks undergo training with historical weather data. Keywords: accuracy; cloud; cloudburst; data; learning; lstm; machine; memory; model; prediction; system; training; weather
• The Role of Optimization Techniques in Advancing Big Data Analytics : A Survey by E.Ramesh Babu (2024) - No. 1s (2025) 233 https://internationalpubls.com B. Issues in Big Data: a. Privacy and security: Rapid growth of big data has brought significant advancements in various fields. By addressing the challenges due by the volume, velocity, and variety of big data, optimization techniques enable more efficient resource utilization, faster decision-making, and improved predictive accuracy. Keywords: analysis; analytics; applications; big; challenges; communications; data; data analytics; issn; learning; management; memory; methods; optimization; performance; processing; query; survey; techniques; vol
• An Extensive Analysis of Deep Learning Techniques for Improving Picture Encryption's Security & Data Embedding Capability by Yandapalli Venkata Sree Vaishnava Reddy (2024) - Traditional methods of image data encryption can have their limitations, though. Image encryption approaches mostly employ permutation, substitution, and diffusion schemes [5]. Keywords: algorithms; analysis; approach; chaos; communications; data; encryption; image; method; nonlinear; picture; security; systems; vol
• Predicting Disasters: A Machine Learning Approach by Rayavarapu Veeranjaneyulu (2024) - Durga, Techniques of Flood Forecasting and Their Applications, 2018 International Conference on Mother TeresaCollege of Engineering,2018, [3] Cruzan, M Binloa Predicting the floods by suing artificial neural networks by using water level moisture sensors TENCON 2018-2018 IEEE Region 10 Conference,2018 [4] G. Kaveri and A. Balakrishna, Predicting the Floods by using Cloud Environment, 2019 IEEE Canadian Conference of Electrical and Computer Engineering(CCECE), [5] J.A. Ozella and A. A. Hern, Predicting Floods using Neural networks and Support vector machine: A Conceptual Framework,2019 IEEE15thInternationalColloquiumonSignalProcessing& Its Applications (CSPA). Flood forecasting is especially important there. Keywords: accuracy; algorithm; analysis; communications; data; floods; kumar; learning; machine; prediction; set; xgboost
• Intelligent Hybrid Model for Predicting and Monitoring Heart Disease by Janpreet Singh (2024) - [16] T. Kasbe and R. S. Pippal, “Design of heart disease diagnosis system using fuzzy logic,” 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS) (2017). It also estimates the performance of system and by its results it accurately predicts stage of heart disease from which a patient is suffering with accuracy 98.90%. Keywords: anfis; data; disease; figure; heart; input; membership; model; stage; system; training
• Nonlinear Optimization for Optimal Fault Detection and Classification in Power Systems Using Novel Semi-Supervised KNN Approach by Debshree Bhattacharya (2024) - The proposed method leverages the strengths of semi-supervised learning, effectively utilizing both labelled and unlabelled data to improve classification accuracy of transmission line faults. Hybrid Approach: For the purpose of analysing and predicting transmission line faults, a hybrid of KNN and fuzzy logic can also be employed [8]. Keywords: classification; data; detection; fault; knn; learning; line; power; systems; transmission
• 3D Convolutional Neural Networks for Video Recognition by P. Sunil Prem Kumar (2024) - Datasets are collected from UCF101, an action-rich dataset with 101 action categories that serves as a common baseline for assessing how well video recognition models perform. 21-10-2024 Abstract: 3D CNNs have proven to be an effective technique for analysing spatiotemporal data particularly in video recognition. Keywords: 3d cnns; analysis; cnns; data; information; learning; model; networks; precision; recognition; video
• Advanced Automated Number Plate Recognizer using Machine Learning Technique by Gopal D. Upadhye (2024) - The CNN is trained on a dataset of license plate characters and is capable of accurately classifying each character despite variations in font, size, and style. For each segmented character: Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 1s (2025) 429 https://internationalpubls.com Preprocess character (resize, normalize, deskew) Recognize character using trained CNN model Convert recognized characters to text # Color Detection Convert ROI to HSV color space Detect plate color using color segmentation techniques # Post-Processing and Validation Validate recognized characters against database or predefined patterns Apply error correction algorithms # Output Display recognized license plate characters and color Store results in database # Performance Evaluation Calculate accuracy, precision, recall, F1-score # Continuous Improvement Retrain CNN model with additional data if needed Figure 7. Keywords: anpr; character; data; detection; image; license; model; number; plate; processing; recognition; system; training; vol
• Evaluating the Role of Data Privacy Regulations in Secure Software Development Life Cycles (SDLC) by Shaurya Jain (2024) - These industry-specific findings underscore the adaptability of privacy compliance practices within the SDLC, as organizations must tailor their approaches based on regulatory demands and data sensitivity. In the deployment and maintenance phases, regulations mandate continuous monitoring and auditing, helping organizations maintain privacy compliance over time. Keywords: analysis; compliance; data; design; development; organizations; practices; privacy; regulations; sdlc; security; software
• Employing Evolutionary Computing and Hybrid Artificial Neural Networks to Improve Drug Discovery by Nidhi Mishra (2024) - As a powerful tool, this hybrid approach can simplify drug discovery, leading to more efficient drug development. Keywords: Drug discovery, Evolutionary Computing, Hybrid Artificial Neural Networks, Particle Swarm Optimization, Convolutional Neural Networks. Keywords: accuracy; cnn; computing; data; development; discovery; drug; hann; learning; model; network; particle; protein; pso
• AI Predictive Analytics for Verifying Pharmaceutical Authenticity and Combating Drug Counterfeiting by Aakansha Soy (2024) - GANs produce synthetic counterfeit data, and CNNs extract visual features, giving the model better accuracy, recall, and F1-score than DT-QMS, ClinAIOps, and AI-BC. Using GANs to sift through past data, the suggested strategy improves the detection of minor package variations by identifying trends and traits linked to counterfeit drugs. Keywords: analysis; blockchain; cnn; counterfeit; data; drug; gan; healthcare; model; pharmaceutical; supply; system; technology
• Application of Nexus Learning framework for Personalized Medicine and Drug Development by F Rahman (2024) - Whatever the case might be, researchers should merely take NL data as intriguing possibilities to build upon in future investigations. Improved treatment outcomes and more efficient healthcare can be achieved if patient-specific data forms the basis of medicine development at every stage, from research to clinical trials. Keywords: algorithms; analysis; data; development; discovery; drug; learning; medicine; precision
• Hybrid Blockchain Network for Drug Traceability in Secure Pharmaceutical Supply Chain by Uruj Jaleel (2024) - We perform testing and validation to assess the system's efficacy in improving pharmaceutical supply chain traceability and provide cost and security evaluations. A hybrid blockchain network allows for more efficient and cost-effective management of pharmaceutical supply chains. Keywords: analysis; blockchain; chain; data; journal; network; pharmaceutical; supply; supply chain; system; traceability
• High-Order Multimodal Interaction Network for Efficient Prediction of Drug-Drug Interaction by Rajeev Kumar Bhaskar (2024) - An important cause of adverse drug events (ADEs) is the possibility of drug interactions, which can occur when medications are used together. In this case, the HOMIN model predicted drug interactions accurately. Keywords: data; ddi; ddis; drug; homin; interaction; model; network; prediction
• Blockchain-Based Intelligent Inventory Management for Hospital Supply Chain (HSC) with Deep Learning Techniques by Nidhi Mishra (2024) - Blockchain in supply chain management: a systematic review: evaluating the implementation, challenges, and future prospects of blockchain technology in supply chains. Exploring the integration of sustainable materials in supply chain management for environmental impact. Keywords: blockchain; chain; data; inventory; learning; management; pharmaceutical; supply; system
• Big Data in Pharmacy: Transforming Patient Care with Analytics by Abhijeet Madhukar Haval (2024) - No. 2s (2025) 133 https://internationalpubls.com Figure 2, shows the first step in incorporating big data analytics into pharmacy care is for healthcare businesses like pharmacies, clinics, and hospitals to work together to gather patient data. The ability of AI to derive insights from healthcare data is highlighted by Mehta et al. Keywords: analysis; analytics; big; data; framework; healthcare; making; patient; pct; treatment
• Pharma in The Digital Era: The Role of Artificial Intelligence in Drug Development by Priya Vij (2024) - Existing methods in drug development often suffer from high costs, extended timelines, and high attrition rates in clinical trials, posing significant barriers to timely patient care. The DD-AI framework offers a robust solution to existing challenges in drug development, fostering a more efficient, cost-effective, and patient-centered approach. Keywords: analysis; data; development; drug; intelligence; learning; patient; pharmaceutical; trial
• Integrating Blockchain Technology in Pharmaceutical Supply Chains by Kamlesh Kumar Yadav (2024) - In summary, focusses on several methods for enhancing pharmaceutical supply chains. Blockchain-based smart tracking and tracing platform for drug supply chain. Keywords: analysis; bct; blockchain; chain; data; efficiency; framework; pharmaceutical; psc; supply; supply chain; technology
• E-Healthcare System for Stroke Management Using IoT and Machine Learning by Chandni Sawlani (2024) - • Using a genetic algorithm, the pertinent features for stroke prediction are identified. In order to do this, the key features of stroke disease are identified using a feature weighting technique called BWT-GA. Keywords: bwt; data; dnn; healthcare; learning; machine; model; results; stroke
• Investigations of Acute Ischemic Stroke Detection Techniques from CT Images Using Machine Learning Approaches by Divya (2024) - The numerous problems with tumour and stroke lesion segmentation for brain images, particularly MRI images, that have been documented in the literature include the need for many iterations, which increases computational time, the limitation to single sequence MRI inputs, decreased system efficiency, the absence of performance evaluation, variations in image intensity levels, and the absence of edge information. Brain stroke is characterised as a type of brain assault that happens when a blood vessel bursts, bleeds, or becomes obstructed, resulting in a low oxygen level in the blood. Keywords: acute; analysis; brain; cad; classification; data; figure; image; journal; learning; noise; stroke; system; vol
• Secure Electronic Health Records Against Insider Attacks Using Blockchain by Uruj Jaleel (2024) - Our focus on improving health record data security opens up new directions for future research to meet more security requirements. The security, integrity, and management of electronic health records are critical issues. Keywords: blockchain; data; figure; health; information; patient; records; security; system; user
• Recurring Network Node Performance Evaluation Model for Enhancing the QOS Levels in 6G Enabled WSN by Pavan Vamsi Mohan Movva (2024) - The widespread use and utilization of wireless sensor networks has been boosted by their incredibly beneficial applications across several fields of study and industry. Wireless sensor networks are becoming increasingly popular due to the fast expansion of smart sensor nodes. Keywords: analysis; communications; data; energy; levels; model; network; nodes; performance; qos; quality; routing; sensor; service; vol; wireless; wsn; wsns
• Automated Virtual Machine Migration with Load Shifting Technique Avoiding Latency in Cloud Environment by Srinithya Kandukuri (2024) - Memory Usage: This method reduces memory shifting and is more advantageous for the distribution of memories during load migration compared to pre-copy approach, minimizing the chances of generating another memory bottleneck DIAL estimates the contended resource demands on physical hosts, balancing VM loads away dynamically from infected ones and automatically making it so that application tail latency SLO compliance will always be effectively in place regardless fluctuations of performance. Keywords: analysis; balancing; cloud; computing; data; hosts; latency; load; migration; performance; resource; technique; time; utilization; vms; vol
• Machine Learning and Computer Vision Driving Precision in Robotic Surgery by Ipseeta Nanda (2024) - Following a procedure, AI systems analyse the surgery by comparing the executed plan with the intended pathways, highlighting any deviations or areas for improvement. As AI systems become more involved in decision-making during surgery, it is critical to establish clear protocols outlining the roles and responsibilities of both the AI system and the human surgeon. Keywords: data; human; intelligence; outcomes; patient; precision; procedures; risk; surgeons; surgery; systems; time
• Predictive Analysis System for National Ranking and Accreditation of HEIs by Amrita Sekhon (2024) - Challenges of predictive analytics mentioned were labeling, discrimination and stigma based on student demographic data, transparency of student and institutional data, and privacy and security. 1074-133X Vol 32 No. 1s (2025) 540 https://internationalpubls.com where it is used for course curriculum evaluation, course enrollment prediction, student dropout rate estimation at early stages, student academic performance prediction, fresh graduate employment prediction, alumni salary prediction, learning analytics dashboards, online course satisfaction level estimation of students, etc. Keywords: accreditation; analysis; analytics; criteria; data; education; grade; learning; machine; mining; models; naac; performance; prediction; student
• Dynamic Lexicon-Based Sentiment Analysis Architecture Using Nonlinear Feature Optimization by V R N S S V Saileela P (2024) - The dataset’s diversity, encompassing colloquial language and domain-specific expressions, presents a realistic challenge for sentiment analysis models, allowing for a comprehensive evaluation of DLSA’s performance. Optimization methods are key in refining which features to keep in sentiment analysis, making the process more efficient. Keywords: analysis; data; dlsa; feature; fold; lexicon; model; optimization; performance; sentiment; set; text
• Nonlinear Deep Learning Framework for Precise Sentiment Classification in Textual Data by Attili Venkata Ramana (2024) - The lack of such integrated, comprehensive frameworks limits the effectiveness of current sentiment analysis models, especially when applied to complex real-world data. 3 Experimental Study The experimental study aims to evaluate the performance of the proposed NPSC (Nonlinear Precise Sentiment Classification) framework against contemporary sentiment classification models using the IMDB movie review dataset. Keywords: analysis; attention; classification; data; framework; layer; learning; models; npsc; sentiment; text
• Harvest Harmony: Integrating Linear and Nonlinear Machine Learning Models for Precision Crop Recommendation by B Ramesh Naidu (2024) - 01-11-2024 Abstract: This research presents a comprehensive crop recommendation system that combines linear and nonlinear machine learning models to forecast suitable crops based on soil and environmental factors. Machine learning models can offer valuable insights and recommendations for crop selection by utilizing large datasets of soil attributes and environmental factors, which in turn can boost agricultural productivity and sustainability. Keywords: accuracy; analysis; communications; crop; data; figure; issn; learning; machine; model; precision; recall; recommendation; score; soil; vol
• Performance Comparison of Deep Learning Algorithm for Autism Spectrum Disorder Prediction by Tintu Varghese (2024) - To facilitate the training of machine learning models, the target variable 'Autism' was encoded into a numerical format using label encoding. The classification results show that the LSTM and GRU models exhibited similar accuracy, with values of 71.03% and 70.78% respectively. Keywords: asd; autism; data; dataset; disorder; learning; model; spectrum; state
• Hybrid Machine Learning Approach for Early Stroke Prediction in Elderly People by P.Divya (2024) - This project aims to develop a machine learning-based system for stroke prediction using ECG data from wearable devices, ultimately facilitating early detection and intervention [1]. This project proposes a machine learning-based approach to predict stroke risk using multi-modal biosignals, specifically electrocardiogram (ECG) data. Keywords: analysis; data; ecg; learning; machine; map; prediction; signal; stroke; vol
• Cluster Analysis for Assisted Healthcare Approval in Pervasive Social Networks by Vishnu Kumar Kaliappan (2024) - Tamilnadu-636453, India.dhanawaves@gmail.com Article History: Received: 07-08-2024 Revised: 28-09-2024 Accepted: 09-10-2024 Abstract: The idea of pervasive social network (PSN)-based healthcare is prompted by contemporary wireless sensing and mobile computer technology. Keywords: pervasive social network (PSN); cluster; Healthcare; Social networks; middleware deployments; pervasive computing; 1. INTRODUCTION Keywords: analysis; brokers; communications; computing; data; media; network; nodes; psn; research; trust; users
• Security and Power Consumption for Data Availability in Personalized Internet of Things with Cloud-based User Healthcare Applications by Sakthivel Velusamy (2024) - Keywords: security and power consumption; internet of things (IoT); healthcare systems; cloud technology; IoT. 1. This enormous volume of information gathered from the healthcare profession was recognized with potential and supportive ideas for a wider range of healthcare tasks with the strategic decision making, disease monitoring, and healthcare systems, the author writes in his article [1]. Keywords: analysis; cloud; communications; data; figure; healthcare; information; internet; iot; systems; technology; things
• Phishing URL Detection with Gradient Boosting Classifier by Narayana Rao Appini (2024) - Furthermore, [17] found that classification algorithms, particularly tree-based classifiers, may achieve high accuracy in detecting phishing URLs. To assess these characteristics and distinguish phishing URLs from those linked to potentially dangerous websites, a broad array of criteria is used. Keywords: analysis; classifier; communications; data; detection; learning; machine; model; phishing; python; urls; vol; websites
• A Review on Machine Learning and Deep Learning Techniques for Medical Internet of Things (m-IoT) by Lavanya K (2024) - This survey of IoT based medical data transmission is focused on recognising an accurate prediction model. Figure 4: classification of medical data transmission over IoT Networks 2.2.1Conventional Methods for Medical Data Transmission over IoT Networks Utilising health prediction algorithms, hospitals may move outpatients to treatment centres quickly, alleviating traffic and ensuring that more patients receive prompt care. Keywords: algorithms; analysis; classification; data; healthcare; iot; learning; machine; network; patient; prediction; systems; transmission; video; vol
• Nonlinear Improved Adaptive Optimized Grey Model for Real-Time Monitoring and Control of Weld Bead Geometry in Robot-Assisted Wire Arc Additive Manufacturing by Satish Kumar Parimi (2024) - But, the quality of the deposited structure and dimensional accuracy depends on the qualitative deposition of molten metal with appropriate arc force, hence the monitoring of weld bead deposition requires much attention. The WWB (nm) and HWB (nm) trends highlighted the temporal changes in weld bead parameters, illustrating how process conditions such as time, current, and arc force significantly influence bead dimensions. Keywords: additive; arc; bead; data; deposition; metal; model; process; time; vol; weld; weld bead
• Optimized Energy-Efficient Routing and Adaptive Coverage in Wireless Sensor Networks for Multi-Access Edge Environments by Sreeram Sivadasan (2024) - Similarly, in the field of environmental monitoring, these algorithms enable the deployment of sensor networks that can continuously survey natural ecosystems with minimal human intervention. The use of minimum spanning trees (MST) to route data in sensor networks as shown in figure 4 involves computational geometry to minimize the overall network cost in terms of distance or other metrics. Keywords: algorithm; computing; coverage; data; edge; energy; network; nodes; routing; sensor; step; wsns
• Energy-Efficient Data Aggregation in Wireless Sensor Networks using Neural Network-Based Prediction Models by Aruna kumari (2024) - The methodology ensures energy- efficient data aggregation by dynamically scheduling transmissions through the use of hybrid advisory weights. METHODOLOGY Feedforward Neural Networks (FNN): Through efficient data aggregation and prediction, feedforward neural networks (FNN) are essential for improving energy efficiency in wireless sensor networks (WSNs). Keywords: aggregation; data; efficiency; energy; networks; neural; prediction; sensor; vol; wireless; wsns
• Analyzing Zakat Distribution Using Nonlinear Differential Equations: Insights from Surah Al-Baqarah Verse 177 for Modern Economic Applications by Mustopa (2024) - The research findings indicate that zakat distribution follows a normal distribution with a p-value of 0.155 for the Shapiro-Wilk test and 0.200 for the Kolmogorov-Smirnov test. This study recommends exploring additional factors influencing zakat distribution and innovations in the collection and distribution of zakat, leveraging technology to enhance efficiency and fairness in the zakat system. Keywords: analysis; data; distribution; islamic; management; model; recipients; results; test; zakat
• Detection of Renovascular Hypertension using Hybrid Deep Learning Technique by Arthi K (2024) - Giri et al. (2021)[3] demonstrated the effectiveness of LSTM in capturing the temporal patterns of heart rate and blood pressure data, enabling accurate prediction of cardiac events. 11-10-2024 Abstract: Renovascular hypertension is a type of secondary hypertension that is difficult to diagnose and monitor due to its complexity and dependence on many weak bodies, resulting from the narrowing of the arteries feeding the kidney. Keywords: cnn; data; health; hypertension; iot; lstm; model; prediction
• Early Detection and Treatment of Glaucoma and Diabetic Retinopathy Using Deep Neural Networks and Fuzzy Logic by Ravula Arun Kumar (2024) - One of the most effective methodologies is associated with the use artificial intelligence (AI) methods, such deep neural networks (DNNs), matched with fuzzy logic systems. Fuzzy logic system is a design-stage-engineering tool to handle multi-body articulate process, which is introduced into DNNs for better optimizing more interpretable and possibly flexible decision-making framework. Keywords: accuracy; analysis; cnn; communications; data; detection; diagnosis; disease; dnns; features; glaucoma; images; issn; learning; logic; model; networks; processing; retinopathy; system; vol
• Implementing Deep Learning Models for Early Detection and Segmentation of Lung Cancer from Medical Imaging by Rajeev Dixit (2024) - Attention-Based Feature Extraction Summary A majority of the state-of-the-art methods based on CNNs have been applied to medical images, including lung cancer images however they are all challenged by the subtleties and high-contextualized nature of patterns in such medical cases. ● Identified research gaps for further investigation in lung detection models. Keywords: accuracy; analysis; attention; average; cancer; cnn; cross; data; detection; feature; images; learning; lung; lung cancer; model; performance; pooling; regions; segmentation
• Effi Street: IoT-Driven Urban Illumination by Enhancing Energy Efficiency in Street Lighting by Kaushalya Thopate (2024) - Street lighting systems for environmental and cost-effectiveness reasons. This paper [6] introduces a remote-control system for optimizing the management and efficiency of street lighting systems. Keywords: control; data; energy; iot; ldr; lighting; lights; paper; sensor; street; street lighting; system
• An Efficient Algorithm to Enhance Confidentiality, Security and Quality of Service(QoS) for Internet of Things(IoT) Communication Network by Voore Subrahmanyam (2024) - To improve the privacy and secure way of data communication via wireless network the cipher text has been set the cloud. For Authentication The proposed algorithm is providing data communication with secure communication. Keywords: algorithm; communication; cyber; data; devices; iot; method; physical; process; sensor; time
• Using AI to Create More Equitable and Inclusive Higher Education Learning Systems by Ruchi Bhatnagar (2024) - Provide insights into the potential advancements that can further enhance equity and inclusivity in higher education learning systems [12],[13]. In figure 2 an AI-based predictive learning model leverages advanced algorithms to analyze vast amounts of student data, including performance metrics, behavior patterns, and learning styles. Keywords: analysis; communications; data; education; intelligence; issn; learning; methods; placeholder; research; score; student; systems; vol
• Intelligent Railways: Leveraging Retrieval-Augmented Generation for Smarter Systems by Gresha Bhatia (2024) - III.LIMITATIONS IN EXISTING SYSTEM By exploring the potential of RAG to enhance accuracy, efficiency, and user experience across domains such as healthcare, education, and government services, the paper aims to propose a framework for integrating RAG systems into public sector operations to improve service delivery and decision-making. The study explores how RAG systems can streamline processes by providing accurate, context- aware responses to inquiries across various railway services, including ticketing, scheduling, and customer support. Keywords: analysis; data; generation; information; issn; language; models; rag; railway; retrieval; system; user; vol
• Intelligent Generation of New Media Art Based on User Experience Design by Caixian Ye (2024) - 3.2 AIGC generate basic content and the first draft of new media art model The new media art studied in this paper is the art form realized by user-centered and user experience design in virtual environment. Through external data collection and internal data mining to obtain standard data sets for real-time transmission to AIGC to generate or modify the content of new media art model,to provide the user with an experience in real-time. Keywords: aigc; algorithm; analysis; art model; content; data; design; experience; figure; generate; issn; media art; model; needs; process; technology; time; training; user; user experience; vol
• Low Energy Adaptive Clustering Hierarchical Leach Lifetime Analysis in Two- and Three-Dimensional Wireless Sensor Networks by Sangeetha Komandur (2024) - [14] EADCR Improve network life by utilizing the Fuzzy C-Means (FCM)technique to create clusters and choose CHs based on a fitness function based on Euclidean distance and node remaining energy. Regardless of the occasion of a sensor node failure, the proposed protocol can detect all road events and uphold integration between sensor nodes. Keywords: data; energy; figure; leach; network; nodes; protocol; routing; sensor; wireless
• Enhancing Precision Agriculture: IoT-Enabled Soil Nutrient Analysis and Deep Learning-Based Crop Recommendation Models by Amita Shukla (2024) - The technology lessens the environmental effect of farming and reduces fertiliser usage by improving soil nutrient management precision. By integrating these sensors with IoT systems, soil data can be automatically collected and analysed, which decreases the need for manual labour and improves the effectiveness of soil management techniques. Keywords: agriculture; analysis; crop; data; internet; iot; learning; levels; nutrient; precision; sensors; soil; things; time; vol
• AI-Powered Multimodal Disaster Response Enhancement using Social Media Streams by Rohini Temkar (2024) - Integrating BERT-like models into our project can significantly enhance the accuracy and relevance of disaster data classification. This method successfully scraped over 5 million tweets, outperforming the standard Twitter API by 23.7 times, making it highly applicable for the social media data collection component of disaster response systems. Keywords: analysis; bert; classification; data; disaster; media; model; processing; system; text; time; tweets
• Blockchain-Aided Secure Communication Framework Intended for UAV Networks by Vinod Kumar (2024) - Blockchain technology is being used in the current study to address privacy and preservation issues with UAV data. [5] Rupa Ch, Gautam Srivastava, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Sweta Bhattacharya, Security and privacy of UAV data using blockchain technology, Journal of Information Security and Applications, Volume 55, 2020, 102670, ISSN 2214-2126. Keywords: analysis; blockchain; communication; data; drones; privacy; security; system; uav; uavs
• Elevating Crop Quality: AI Neural Networks for Advanced Plant Disease Management and Enhanced Food Security by Boyapati Sahithi (2024) - Keywords: Spectral Imaging, CNNs, plant disease detection, infrared imaging, ultraviolet imaging, agricultural techniques, early disease diagnosis, machine learning in agriculture, diagnostic accuracy, food security. Singh, Verma, and Manogaran (2020) have worked on plant disease detection using CNN. Keywords: data; detection; disease; figure; imaging; inception; learning; plant; rgb; spectral; validation
• AutoETL: A Nonlinear Deep Learning Framework for ETL Automation by G. Sunil Santhosh Kumar (2024) - This article reviews significant contributions within the realm of data integration, with a focus on methodologies developed to handle and transform unstructured data into structured data, and the application of deep learning techniques for automating these processes. In the Data Input/Output area, unstructured data is depicted entering the framework and, following transformation, exiting as structured data. Keywords: analysis; autoetl; data; etl; extraction; framework; information; learning; model; performance; precision; processes; rules; thresholds; transformation
• Facial Skincare Product Recommendation Using Deep Learning Techniques by S. Nithyadevi (2024) - The advantage of employing AI in skincare recommendation systems is significant. The integration of Neural Collaborative Filtering (NCF) into skincare recommendation systems represents a significant advancement in personalization capabilities within the skincare industry. Keywords: analysis; concerns; data; learning; model; product; recommendations; skincare; system; user
• SCADA – Data Security : DDoS Attack Analysis Using Time Series & its Application in the Communication Sector using Non-Linear Methods by R. Balakrishna (2024) - The paper aims to explore the temporal dynamics of network traffic data to identify unusual patterns that signify DDoS attacks, which are critical threats to the security and operation of industrial control systems. Methods: In this paper, the methodology employed revolves around the application of time series analysis to network traffic data collected from SCADA systems. Keywords: analysis; attacks; communication; data; ddos; detection; linear; models; network; scada; series; systems; time; traffic; vol
• Nonlinear Decentralized Federated Localization Framework for Dynamic Vehicular Networks by B. Deena Divya Nayomi (2024) - Differential Privacy adds controlled noise to the shared parameters, making it harder to extract individual vehicle data. Vehicle- to-vehicle communication data, such as distances, are represented in graph structures. Keywords: communication; data; framework; gnss; localization; meters; model; networks; privacy; vehicle
• Nonlinear PESTLE Framework-Based Sentiment Analysis Using Machine Learning for Root Cause Identification by Sudarshan S. Sonawane (2024) - There are versatile range of sentiment analysis models imperative from the literature. 19-11-2024 Abstract: Sentiment analysis has gained significance in understanding the intricate dynamics of public sentiment in contemporary social media and news communication. Keywords: analysis; data; factors; model; posts; process; range; score; sentiment; sentiment analysis; vol; words
• Improving Retinopathy Classification Using Optimized Support Vector Machines and Deep Learning Techniques by K. Deepthi (2024) - Data augmentation and synthetic data generation have demonstrated improvements in the performance of such retinopathy classification models, yet these methods have limitations. • CNN models trained to detect minute variations in DR images. Keywords: accuracy; analysis; classification; cnn; cnns; data; detection; extraction; features; hybrid; images; learning; machine; model; retinal; retinopathy; svm
• A Streamlined Approach to Student Stream Prediction Using an Ensemble Machine Learning Model by Rajan Saluja (2024) - [2] Ünal F. Data mining for student performance prediction in education. To ensure the robustness of our predictive model, we gathered student data spanning from 2007 to 2021 across disciplines such as Computer Science Engineering, Information Technology, Electronics and Communication Engineering, Mechanical Engineering, and Bachelor of Computer Applications (BCA). Keywords: accuracy; analysis; data; dataset; doi; ensemble; learning; level; machine; model; performance; prediction; smote; stream; student; success
• AI in Agriculture: Precision Farming and Crop Monitoring by Kamatchi Sundravadivelu (2024) - The CNN was able to outperform other techniques because of its potential to analyze more complex patterns in imagery than Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 3s (2025) 477 https://internationalpubls.com others, which might be useful for applications concerning crop disease and pests. The models were trained to predict crop health and optimize agricultural practices, using a dataset of crop images and environmental data. Keywords: agriculture; analysis; crop; data; decision; farming; forest; learning; monitoring; precision
• Machine Learning with IoT Based Email Phishing Detection by Choppa Ananda Kumar Reddy (2024) - [3] E. J. Williams, et al., Exploring susceptibility to phishing in the workplace, International Journal of Human- Computer Studies, vol. 120, pp. 1-13, 2018. [8] M. Al-Fayoumi, et al., Intelligent association classification technique for phishing website detection, International Arab Journal of Information Technology, vol. 17, pp. Keywords: analysis; data; detection; email; information; learning; phishing; user; vol
• Artificial Intelligence and Machine Learning based Farmer’s Friendly Soil Fertilizer Recommendation System Through Expert Analysis by Anil Kumar Ghadiyaram (2024) - No. 3s (2025) 494 https://internationalpubls.com Figure: Nitrogen and Phosphorus for attributes analysis Figure: Potassium and pH for crops attributes Analysis Using supervised learning, the ML model for crop recommendations was developed. This method's primary objective is to inform farmers about the crop yield beforehand in order to provide them with crop recommendations that will help them select a crop that will yield more profitably. Keywords: agriculture; analysis; crop; data; dataset; factors; farmers; fertilizer; issn; model; recommendation; soil; study; system; vol; yield
• Optimized Energy-Efficient Routing and Adaptive Coverage in Wireless Sensor Networks for Multi-Access Edge Environments by Sreeram Sivadasan (2024) - Similarly, in the field of environmental monitoring, these algorithms enable the deployment of sensor networks that can continuously survey natural ecosystems with minimal human intervention. The use of minimum spanning trees (MST) to route data in sensor networks as shown in figure 4 involves computational geometry to minimize the overall network cost in terms of distance or other metrics. Keywords: algorithm; computing; coverage; data; edge; energy; network; nodes; routing; sensor; step; wsns
• Optimized Energy-Aware Routing for Internet of Things Enabled WSNS using Neuro-Fuzzy Clustering and Quantum Firefly Algorithm by J. Karthikeyini (2024) - No. 3s (2025) 576 https://internationalpubls.com Growth in the number of network nodes should reduce the time needed to process packets arriving at the sink node in an effective tree-based network. The literature includes numerous studies on the various design challenges of IoT- enabled sensor networks including issues related to data transmission. Keywords: analysis; cluster; clustering; data; efficiency; energy; figure; iot; method; network; node; routing; sensor; system; trust; wsns
• A Novel Chaos-Based Encryption Algorithm for Secure Communication Systems by Ambhaikar, Asha (2023) - Figure 1: Dynamic Chaos Cipher-Based Encryption and Analysis System (DCC-EAS) As far as communication and data security systems go, the Dynamic Chaos Cipher-Based Encryption and Analysis System (DCC-EAS) is indestructible. Communication system security is in jeopardy due to a lack of thorough examination and testing of the algorithm's ability to withstand changing attacks [7]. Keywords: algorithm; analysis; chaos; cipher; communication; data; dcc; encryption; figure; key; security; system; time
• Applications of Nonlinear Analysis Transforming Communication Paradigms for Seamless Connectivity by Nilesh P. Sable, et al. (2023) - FUTURE IMPLICATIONS AND ADVANCEMENTS A. Emerging Trends in Nonlinear Communication Analysis: Because nonlinear communication analysis can handle the ever-more-complex dynamics of communication systems, it has the potential to significantly influence connectivity in the future. B. Impact on Future Technologies: Nonlinear communication analysis has a significant and broad influence on upcoming technology. Keywords: analysis; chaos; communication; connectivity; data; dynamics; network; nonlinear; security; signal; systems; techniques; theory; vol
• Applied Nonlinear Analysis for Efficient Communication Signal Processing and Network Management by Pradeep Kundlik Deshmukh, et al. (2023) - This voyage digs into the area of chaos theory, nonlinear dynamics, and their application in both signal processing and network management, hoping to pave the way for creative approaches and algorithms that meet the difficulties of modern communication networks. Managing communication networks efficiently and flexibly is essential, especially in the rapidly developing Internet of Things (IoT). Keywords: analysis; communication; complex; data; dynamics; management; network; nonlinear; processing; routing; signal; systems; theory; time; vol
• Towards Improved Biometric Security: EEG-Based Person Identification Enhanced by Deep Learning and Facial Recognition by Shalu Verma (2024) - During the training process, EEG data from electrodes ranging from 4, 16, 32, to 64 were input into the network. In 2022, Alyasseri Z [19] introduced a methodology that integrates the Gray Wolf Optimizer (BGWO) with a Support Vector Machine classifier employing a Radial Basis Function kernel (SVM-RBF) for biometric human identification utilizing EEG data. Keywords: analysis; cnn; data; doi; eeg; features; identification; layers; learning; lstm; model; network; person; second; vol
• VACCIDOC: An Infant Immunization Tracker for Private Hospitals by Integrating OTP- based Verification by Renuka Rajendra Kajale (2024) - Performance: In the long run, vaccination tracking systems can reduce costs by preventing vaccine-preventable diseases and minimizing the need for catch-up immunizations. It incorporates a responsive frontend for patients, healthcare providers, and administrators; a robust backend for core functionalities such as user management and record-keeping; and a secure centralized database for vaccination data. Keywords: coverage; data; health; healthcare; providers; system; tracker; tracking; vaccination
• Machine Learning Approaches for Predicting Chaotic Behavior in Nonlinear Systems by Dewangan, Omprakash (2023) - Chaotic systems are difficult to represent precisely due to their intrinsic complexity and sensitivity to starting conditions [2]. The complex dynamics of chaotic systems can be difficult for traditional machine learning methods to grasp because these algorithms are designed to handle low-dimensional, non-smooth data and frequently depend on linear assumptions [3]. Keywords: analysis; cdp; data; deep; del; dynamics; ensemble; figure; learning; machine; model; networks; prediction; systems
• Blockchain-Enabled Patient-Centric Framework for Secure Health Data Exchange by Shankar Gadhve (2024) - A patient can compile a list of consents for the data in order to react to various requests for data access from various requestors. Data access is permitted if a request matches one of the listed consents.. Keywords: access; blockchain; consent; data; healthcare; network; patient; purpose; records; system; technology; vol
• Nonlinear Dynamics of Neural Networks: Applications in Pattern Recognition by Rahman, F (2023) - The goal is to discover how to fully utilize neural networks to capture and understand complicated, nonlinear patterns in real-world data, which can be quite challenging. Comprehensive simulation studies confirm its effectiveness, showing how ND-ANN can capture and understand complex nonlinear patterns in real-world data, which might lead to a revolution in healthcare accuracy, processing of information, and technology. Keywords: accuracy; analysis; data; dynamics; figure; ndann; networks; neural; nonlinear; pattern; pattern recognition; recall; recognition; systems
• Blockchain and Machine Learning: A Multidisciplinary Synergistic Approach for Fraud Detection in Finance, Healthcare, and Cybersecurity by Sunil Kumar (2024) - No. 4s (2025) 224 https://internationalpubls.com Blockchain and ML: Combining Synergetic Benefits of ML and Blockchain in Finance Blockchain have been debated for using it in Finance and it has found application to finance industry for enhancing the security and efficiency of fraud detection systems. Solutions like off-chain storage solutions scale Blockchain systems, while federated learning techniques allow ML models to be distributed without sharing data that could compromise privacy. Keywords: analysis; blockchain; cybersecurity; data; detection; fraud; fraud detection; healthcare; hybrid; integration; learning; machine; machine learning; models; network; system; time; transactions
• Revolutionizing the Medical Record Department with a Blockchain-Enhanced Nonlinear Approach to Medical Record Management (MRM) Systems by Mona Mulchandani, et al. (2023) - Related Research Application Area Approach Methodology Findings/Contributions Smart access to clinical information in health systems[3] Network security for server-client communication Implementation of online systems to meet business and accreditation needs Development of a hospital website, encryption of patient data using algorithms for security Enhancing security measures for medical data [4] Combination of 3DES and LSB Dependable and safe storage, sharing, and management Improved security through symmetric key encryption, avoidance of data breaches Hospital data administration and fee collection All things considered, the suggested solution makes sure that patient data is protected against loss or unauthorised access and considers security concerns pertaining to medical data. Keywords: analysis; data; healthcare; management; medical; module; patient; records; security; system
• Enhancing Healthcare Through Metaheuristic Based Deep Learning: Microarray Gene Expression Image Classification Model by B. Shyamala Gowri (2024) - 2. METHODOLOGY The methodology of this research focuses on developing an automated classification approach that integrates deep learning with the Mayfly Optimization Algorithm (MFO) to improve the accuracy and robustness of microarray gene expression data classification. By combining MFO with DNABERT, the research aims to advance the current state of the art in gene expression data classification. Keywords: analysis; cancer; classification; data; dnabert; expression; gene; gene expression; learning; mfo; microarray; model; optimization; vol
• Integrating Blockchain and Machine Learning with 6G for Autonomous Vehicle Communication: Achieving Secure, Transparent, and Scalable V2X Networks by Pannala Krishna Murthy (2024) - No. 4s (2025) 297 https://internationalpubls.com This exploration into the synergy of blockchain, machine learning, and 6G networks within autonomous vehicle communication systems not only reflects a significant stride in the narrative of intelligent transportation systems but also sets the stage for future explorations in unified architectures where transport and technology converge. Whether in autonomous vehicle networks in which multiple stakeholders (vehicle manufacturers, infrastructure providers, and service operators) feed into one another. Keywords: analysis; blockchain; communication; computing; data; edge; framework; latency; learning; network; security; systems; time; traffic; v2x; vehicles
• Enhancing Crop Yield Prediction using Linear Models and Deep Learning Techniques in Precision Agriculture by B. Sunitha Devi (2024) - Crop yield prediction through proximal sensing and machine learning algorithms. A hybrid approach for crop yield prediction using machine learning and deep learning algorithms. Keywords: agriculture; crop; data; learning; linear; machine; models; precision; prediction; protein; values; yield
• Applied Nonlinear Analysis and Machine Learning Transforming the Horizons of Communication Technology by Dilip Motwani, et al. (2023) - With its foundations [8] in physics and mathematics, nonlinear analysis has made a substantial contribution to our knowledge of complex communication network systems. The fundamental structure of communication networks has undergone a radical change as a result of this convergence. Keywords: allocation; analysis; communication; data; learning; machine; networks; nonlinear; resource; signal; systems; technology; time; vol
• Exploring Applied Nonlinear Analysis and Machine Learning in the Evolution of Communication Technology by Sunil M Sangve, et al. (2023) - This union has Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 1 (2024) 18 https://internationalpubls.com revolutionised the fundamental workings of communication networks, bringing about a paradigm change. This approach has shown to be quite helpful in understanding the intricate behaviours that are common in communication networks. Keywords: analysis; behaviours; communication; data; issn; learning; load; machine; network; resource; systems; technology; vol
• Firefly Algorithm-Based Feature Selection for Accurate Prediction of Major Depressive Disorder from EEG Signals by K Padmaleela (2024) - A review of feature selection methods in machine learning. In this study, we present the Firefly Algorithm, a nature-inspired metaheuristic, to enhance feature selection and classification for MDD diagnosis. Keywords: algorithm; data; disorder; eeg; feature; firefly; learning; machine; selection
• IoT Data Optimization for Creating Interfaces using Chatbots on Industrial Data by Priyanka G. Jaiswal (2024) - Potential Research Applications: ● Design and testing of AI chatbots for real-time monitoring and analysis of industrial processes Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 Design and implementation of AI chatbot for COLREGs training. Keywords: analysis; chatbot; data; learning; manufacturing; power; research; study; time; user; vol
• Cryptocurrency Price Prediction using Deep Learning Algorithms: A Comparative Study by Pappula Ashok (2024) - [36] S. O. Birim, An analysis for cryptocurrency price prediction using LSTM, GRU, and the bi-directional implications, in Developments in Financial and Economic Fields at the National and Global Scale, M. Cömert and A. E. Şimşek, Eds., Ankara, Türkiye: Gazi Kitabevi, 2022, pp. These models also struggle to capture basic trends since cryptocurrency prices fluctuate and are unstable. Keywords: analysis; bitcoin; bnb; btc; cryptocurrency; data; eth; gru; learning; lstm; mape; model; prices; vol
• Comparative Study of Functionality Isolation in Multi-Application Smart Cards by Aarya Patil (2024) - There are three primary types of smart cards: plastic cards, SIM cards, and USB tokens. Applications of Smart Cards • Finance: Smart cards are used in the finance sector to hold data from the customers to make safe withdrawals and payments in a secure way with encryption as well as authentication to protect against fraud and unauthorized usages. Keywords: access; application; card; computer; context; data; isolation; issn; pune; security; user; vol
• Revolutionizing Highway Navigation: Exploring the Potential of LIFI Technology by B. Ramana Kumar (2024) - Published by X. Tang, H. Li, Y. Z hang and X. Zhaoin IEEE 4th International Conference on Computer and Communications (ICCC), Chengdu, China The performance analysis of LoRa modulation with residual frequency offset researching the impact of frequency deviation on the efficiency and reliability of LoRa communication systems. This analysis helps us to understand how residual frequency offset affects the communication range transmission and receiving data rate, and packet error rate of LoRa communication systems. Keywords: communication; data; display; lifi; light; lora; navigation; receiver; technology
• Enhancing Short- and Medium-Term Electricity Load and Price Forecasting Using a Hybrid CNN-AM Model by Jaya Shukla (2024) - Attention mechanisms in load forecasting models. [3] The usefulness of attention mechanisms in improving load forecasting model performance was examined by Wang et al. (2020). Keywords: accuracy; attention; cnn; data; electricity; energy; forecasting; hybrid; load; model; term
• Comparative Analysis of SVM Variants for GST Fraud Detection by Vivek Vyas (2024) - GST fraud poses significant challenges to regulatory authorities and business- es, necessitating robust detection methods. The vol- ume of GST fraud is increasing day by day so that demand for forensic accountants is increasing rap- idly. Keywords: data; fraud; gaussian; gst; kernel; machine; support; svm; tax
• Advanced Weather Forecasting with Machine Learning: Leveraging Meteorological Data for Improved Predictions by Sunil Khatri (2024) - Additionally, weather prediction models are often updated and refined based on new data and improved understanding of atmospheric phenomena. Traditional weather prediction models rely on complex physical simulations that require significant computational resources and extensive data inputs. Keywords: accuracy; algorithms; analysis; data; fig; flood; learning; machine; model; prediction; regression; temperature; vol; weather
• Comprehensive and Effective Techniques Used to Improve Low Latency in 5G Communication by Varunkumar Mishra (2024) - This suggests that Py5cheSim may offer a more efficient simulation model for assessing network performance in conditions of low signal quality. Overview of Techniques for Latency Reduction Several techniques are being explored to meet the stringent latency requirements of 5G. These techniques span from architectural innovations such as network slicing and edge computing to protocol-level enhancements and new physical layer technologies. Keywords: communications; data; latency; network; py5chesim; throughput; vol
• ML and Legal Analytics: A Computational Approach to Case Outcome Prediction in Legal Management by Bhanu Pratap Singh (2024) - This work focuses the application of such approaches in legal management and also explores how these techniques are useful in various aspects of legal service. Over the years, Allstate has tried to link data analysis with business ethics and decision–making operations. Keywords: analysis; compas; data; erm; ibm; intelligence; law; learning; machine; management; risk; technology; watson
• A Cloud-Enabled IoT Framework for Liver Disease Detection Using ML and Embedded Electronics by Brajesh Kumar Singh (2024) - Data Preprocessing Once sensor data is transmitted to the cloud, it undergoes preprocessing to ensure consistency, accuracy, and usability for machine learning models. Input Raw Data: o Load sensor data {D1,D2, … ,DN}. Keywords: accuracy; analysis; cloud; data; devices; disease; framework; healthcare; iot; issn; liver; sensor; system; time; vol
• Scalable Fake News Detection: Implementing NLP and Embedding Models for Large-Scale Data by Surjeet (2024) - Estimated Trend of Publications from 2000 to 2023 in Fake news Detection and NLP One cannot deny the importance of feature engineering in fake news detection. A comprehensive analysis of fake news detection models: A systematic literature review and current challenges. Keywords: accuracy; analysis; bert; bow; communications; data; datasets; embeddings; idf; issn; learning; machine; media; models; networks; news; news detection; performance; processing; regression; system; text; vol; word; word2vec
• Optimizing Passport Verification Processes with Secure QR Code Technology by Vikas H (2024) - Conclusion and Future Enhancement Development of QR code will offer data encryption using various algorithms and QR code encoding. 1. Introduction The structure of QR codes is 2-dimensional (2D) in nature, the popularity of the QR codes is consistently increasing, due to the capability of the holding large amount of data when compared to the bar codes. Keywords: algorithm; analysis; code; data; encoding; encryption; figure; information; key; method; qr code; system
• UAV Based Data Access Communication Control in Distributed Hash Table Mechanism by Shaik Mohammad Rafi (2024) - The system will utilize the blockchain to store information about them, access cloud data, and monitor malicious users through Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 5s (2025) 214 https://internationalpubls.com an exchange T = (IDu, TS, Action, Sigt) that is authenticated using their secret key. To accomplish this goal, we propose the implementation of a method known as a blockchain- based privacy-aware control of data access (BPADAC) to securely share UAV data in an internet-based Internet of Drones (IoD) setting. Keywords: access; analysis; blockchain; cloud; communications; data; drones; information; internet; iod; network; sharing; system; uav; user; vol
• Multimodal Hand Gesture Recognition Using Surface Electromyography and Inertial Measurement Units with 3D-CNN and Transfer Learning by Anju Markose (2024) - By integrating multimodal sensor data with state-of-the-art deep learning techniques, this research aims to advance the field of hand gesture recognition. 3. LITERATURE REVIEW The field of hand gesture recognition has made significant strides with the advent of advanced deep learning techniques and sensor fusion methods. Keywords: data; feature; gesture; hand; hgr; imu; learning; methodology; performance; recognition; semg; system; techniques
• Securing Future Learning in Education 5.0: An Ensemble Learning for Secure Smart Education System (SSEduS) by Sonal Shukla (2024) - Multiple technologies contributing to the era of smart education, each of these technologies have their merits and demerits. Privacy and security being the prominent issue in the all technologies poses the important issue in front of smart education Keywords: analysis; challenges; cyber; data; digital; education; ensemble; learning; model; network; security; system
• StudentEmoScan: Applying Machine Learning, Problem-Solving, and Decision-Making Algorithms to Analyze Emotional Patterns and Detect Mental Health Issues in Students by Neha Beegam P E (2024) - [5] advocated using Using publicly available data to study mental health issues based on emotions and cognitive factors. The study discusses the possible use of Digital media data—specifically, Twitter—for the early identification of depression and the growing concern over mental health issues. Keywords: analysis; ayp; college; communications; data; depression; health; issn; issues; learning; media; mental; research; students; study; vol; year
• Application of a Non-Mixture Cure Rate Model for Analyzing Survival of Patients with Brain Cancer by Awaz Shahab Mohamad (2024) - In order to address this situation, cure rate models (also referred to as long-term survival models) were created as a distinct form of survival analysis model. A new class of survival regression models with cure fraction. Keywords: analysis; brain; cancer; cox; cure; data; event; model; patients; survival; time; weibull
• Mathematical Modeling and Statistical Analysis of Efficient Cluster Head Selection Based LEACH Protocol for Wireless Sensor Networks by Amit Gupta, et al. (2024) - High energy nodes typically handle most processing and transmission duties, while low energy nodes focus on sensing. This study's mathematical models explore the equations and probability distributions that control the lifetime, energy consumption, and behaviour of sensor nodes. Keywords: analysis; cluster; data; energy; head; leach; nodes; number; protocol; round; sensor
• Cyber-Physical Systems: Implementation and its Emergence with Cybersecurity and Blockchain by Ritesh Rastogi (2024) - [18] Emerging Use Cases Demonstrating the Need for CPS Security 1. A Survey of Predictive Analytics Applications for CPS Security. Keywords: analysis; applications; blockchain; cps; cyber; cybersecurity; data; detection; ieee; security; systems; threats; time
• Rhythmic Recognition: Harnessing Deep Learning for Cutting-Edge ECG Biometric Authentication by Amit Kumar (2024) - To extract high-dimensional features from ECG signals, we stored the convolutional layers associated with ECG data in the database and subsequently modified the pretrained CNN architecture by removing the fully connected layers. Cardiovascular diseases require the classification and identification of ECG signals. Keywords: accuracy; analysis; authentication; cnn; data; ecg; learning; machine; model; network; patient; process; signals; training; values; vol
• Optimizing IoT Security with Blockchain: Overcoming Computational Challenges by Hitesh Gehani (2024) - [26] Sidechain technologies in blockchain networks: An examination and state-of-the-art review, https://www.sciencedirect.com/science/article/abs/pii/S1084804519303315 Fig 5: Graphical Analysis of Reduced Delay with attacks and after removing attacks 5.Discussion An improvement in overall security of the IoT based blockchain network. Keywords: analysis; attacks; blockchain; blocks; data; network; security; system; target; time; vol
• Enhancing IoEV Efficiency: Smart Charging Stations and Battery Management Solutions by Supriya Arun Wadekar (2024) - By leveraging predictive analytics, the research seeks to minimize charging times, prevent overloading of charging stations, and extend battery lifespan. Here the functional entities are (i) enhanced charging stations, (ii) roaming gateway/router (R- GW/R), (iii) authentication, authorization, and accounting (AAA) node, (iv) charging rules and policy (CRP) database, and (v) consumer profile database, (vi) unique consumer identification number (CIN), (vii) HUN consumer profile databases (HCPD), and the (viii) VUN consumer profile databases (VCPD). Keywords: battery; charging; data; energy; evs; management; stations; system
• Mathematical Model of Enhanced Aerial Image Quality and Security through Wavelet-Based Dynamic Range Compression and Watermarking Techniques by Akash Saxena, et al. (2024) - It is comprised of metric and topological edges to examine and crack the edges for structure building between image pixels. • Recognition of images (distinguish objects in an image) Various methods for the transfer of image data are implemented, one of which is the imaging system. Keywords: algorithm; analysis; applications; authentication; communications; data; encryption; histogram; ieee; image; iot; issn; matrix; method; pixels; security; system; values; vol; watermarking
• Statistical Analysis of Financial Choices Among Working Women in Higher Education: A Mathematical Modeling Approach by Girish Chhimwal, et al. (2023) - 3. MATHEMATICAL MODELING OF FINANCIAL MODEL OF WOMEN IN HEI- IN INDIAN SCENARIO Moreover, the investment aspect of the model encapsulates the growing trend of financial investments among Indian women in academia, with investment growth calculated based on savings and expected return rates. Keywords: analysis; data; education; expenses; income; investment; net; rate; savings; women
• Integrating Argonomic Method and Yield Crop Modelling with ML Baseline by V.Sujatha (2025) - Architecture of work processes: 2.1.1 Precision - ML without Data Outflow: Crop yield prediction was done by the researcher using supervised learning, most especially supervised regression. Crop yield prediction integrating genotype and weather variables using deep learning. Keywords: baseline; crop; data; feature; learning; machine; mcyfs; researcher; season; test; training; yield
• Real Time Monitoring and Control of Pump by Deep Reinforcement Learning by Paromita Goswami (2025) - This paper addresses a multiple objective optimizing issue for water pump station functioning under heavy rains. Unfortunately, effective control is typically lacking when rule-based pump operations are used in isolation to monitor basin water levels. Keywords: basin; control; data; ddqn; learning; level; model; pump; pumping; rainfall; reinforcement; station; time; water
• Anti Cancer Drug Response Prediction with Machine Learning and Data Driven Approaches by V.Mahalakhsmi (2025) - The findings demonstrate the importance of continuing to explore this area since improved prediction models might improve cancer patient outcomes and oncology career possibilities. • Final predictions: �̂� = {𝑦�̂�: 𝑖 = 1,2, … , 𝑛} (51) Notations: • Keywords: accuracy; analysis; cancer; data; drug; ensemble; feature; learning; machine; model; performance; predictions; vol
• Blockchain-Based Nonlinear Analysis for Data Auditing Management: Principles and Applications by M. Sri Lakshmi (2025) - It presents a secure method for the recording and auditing of data transactions, protecting against unauthorized alterations and increasing trust among stakeholders. Recognizing the vulnerabilities inherent in IoT ecosystems, the proposed model utilizes blockchain to provide a decentralized and secure platform for data transactions and auditability. Keywords: access; auditing; blockchain; computing; data; framework; integrity; management; study; system; technology; transactions; verification
• Non-linear, Reinforcement Learning-based Algorithm for Real-Time MANET Configuration and Threat Prediction by K.Purnima (2025) - The framework demonstrates adaptability to dynamic network conditions, achieving improved metrics such as lower latency, reduced energy consumption, and higher packet delivery rates compared to MA3DQN and EDRL models. [13] combine anomaly detection with policy adjustments to mitigate misbehavior in dynamic networks. Keywords: anomaly; data; detection; drl; learning; manet; model; network; nodes; performance; reinforcement; security; threat; time
• Comparative Analysis of Climate-Smart Agriculture for Marathwada Region Using Machine Learning Algorithms by Ramdas Gore (2025) - Random Forest Model 0.98 0.91 0.94 0.96 Machine learning methods are used to chemical soil analysis and ASD data. Chemical analyses and ASD FieldSpec Spectroradiometer readings are performed on soil samples. Keywords: accuracy; agriculture; algorithms; analysis; climate; data; decision; learning; machine; mean; model; soil
• Leveraging Remote Sensing and AI for Smart Crop Monitoring and Management by Priya.R L (2025) - 3) Integrate an AI-powered disease prediction module to identify and diagnose tomato crop diseases accurately. The system has achieved high accuracy in detecting crop diseases by conducting comprehensive analysis of leaf texture, color, and symptom classification. Keywords: analysis; crop; data; detection; disease; farmers; issn; learning; market; model; planning; system; tomato; vol
• Final Assignment Title Recommendation System Using Collaborative Filtering Method for Undergraduate Students of Informatics Engineering by Anang Pramono (2025) - • Final project title data: Consists of a list of available final project titles. To overcome these problems, a system is needed that can help students find final project titles that match their abilities and preferences. Keywords: data; filtering; method; project; recommendation; research; students; system; user
• Mathematical Modeling and Statistical Analysis of Leach Algorithm Based Cluster Head Selection Approach for Wireless Sensor Networks by Dinkan Maulik Patel, et al. (2024) - In this study, we delve into the mathematical modeling and statistical analysis of the proposed algorithm, focusing on its impact on energy efficiency, network stability, and data routing in WSNs. Hierarchical- based protocols, such as LEACH (Low Energy Adaptive Clustering Hierarchy), PEGASIS (Power-Efficient GAthering in Sensor Information Systems), and HEED (Hybrid Energy-Efficient Distributed clustering), have proven effective in achieving energy efficiency. Keywords: algorithm; analysis; cluster; data; energy; head; leach; logic; low; network; selection; sensor; wsns
• A Multimodal and Interpretable Deep Learning Framework for Early Detection of Blood Cancer Using Clinical Data by G. Chinna Pullaiah (2025) - By incorporating symptom data, imaging, and laboratory results, this framework aims to analyze complex datasets and provide diagnostic predictions that can be explained to clinicians [8] describe a system named DEWS, which processes symptom data, medical images, and lab results to predict blood cancer. Keywords: accuracy; analysis; blood; cancer; data; detection; features; framework; imaging; interpretability; learning; model; multimodal; predictions; results; symptoms; vol
• Identification of Actionable Insights from Online Data Sources by using the Hashed Coherence Frequency Calculator (HCFC) Algorithm by B. Srinivasan (2025) - Find actionable insight column A A = {c | Cc > T} where: - A is the set of columns with actionable insights - Cc > T indicates the coherence frequency of column c, which is above the threshold value. V. RESULTS AND ANALYSIS This section comprehensively analyses the outcomes of the Hashed Coherence Frequency Calculator (HCFC) algorithm for detecting actionable insight columns in the given datasets. Keywords: algorithm; analysis; coherence; coherence frequency; columns; data; dataset; decision; fig; frequency; hcfc; insights; making; review; vol
• Deep Custom Transfer Learning Models for Recognizing Human Activities via Video Surveillance by Saurabh Gupta (2025) - For classifying images, recognizing objects, and recognizing actions, deep learning models like CNN Because it might not always be possible to collect a sizable amount of domain-specific data, applying deep learning models can be challenging. Keywords: 2022; accuracy; activity; data; deep; learning; loss; lrcn; models; recognition; training; transfer; vol
• Soldier Health Monitoring- A Game Changer in Military Technology by Vaishali Rajput (2025) - Chen and a co-worker did an exhaustive survey of soldier health monitoring systems and their applications in militaries. The Cluster Distribution graph as shown in Figure 3 depicts the projected health state of soldiers using sensor data evaluated in R Studio. Keywords: analysis; data; health; health monitoring; military; monitoring; sensors; soldier; system; temperature; time; tracking; vibration
• In-Depth Exploration of Technical Indicators for Stock Market Prediction Using Machine Learning and Reinforcement Learning by Chandrayani Rokde (2025) - 10-12-2024 Abstract: Introduction: This research focuses on the comprehensive exploration of technical indicators for stock market prediction, leveraging machine learning and reinforcement learning methodologies. In addition, it evaluates the effectiveness of integrating machine learning and reinforcement learning techniques in stock market prediction, as explored in previous works. Keywords: data; indicators; learning; machine; machine learning; market; models; prediction; reinforcement; research; stock; stock market
• Theoretical Development of Neurofuzzyzenon: A Hybrid Framework for Intuitive, Adaptive Decision-Making by R. Poornima (2025) - Email ID: gayulethu11@gmail.com Article History: Received: 19-10-2024 Revised: 02-12-2024 Accepted: 10-12-2024 Abstract: This article introduces the theoretical framework of Neurofuzzyzenon, an innovative hybrid approach that integrates principles from artificial neural networks, fuzzy logic systems, and Zen philosophy. Keywords: Neural networks, Fuzzy logic systems, Zen philosophy,Decision making, Autonomous systems. Keywords: data; logic; neurofuzzyzenon; systems; zen
• Enhancing Graph-based Machine Learning through Lyndon Partial Words by R. Krishna Kumari (2025) - Abstract: Objectives: This study integrates the combinatorial properties of Lyndon partial words with Graph-Based Machine Learning (GBML) to develop an innovative approach for sequence analysis. By leveraging the minimality and primitiveness inherent to Lyndon partial words, this study seeks to provide a robust framework for modeling and analyzing such data. Keywords: analysis; data; graph; learning; lyndon; machine; relationships; words
• Fruit Volume Unveiled: A Creative Exploration of Non-Destructive Mathematical Modeling Techniques, a Review by Leela Santi Parige (2025) - Conclusions: In conclusion, the integration of innovative measurement techniques stands to significantly transform the agricultural landscape, promoting better yield assessments and quality control while ensuring that fruit integrity is maintained throughout the process Keywords: Fruit volume estimation, non-destructive techniques, mathematical modelling, geometric models, imaging techniques, machine learning, meta-analysis, agricultural technology, data integration, sustainable production. Various geometric modelling methods, often integrated with vision-based techniques, have been employed for fruit volume estimation (Babic et al., 2012; Huynh et al., 2020; Huynh et al., 2022). Keywords: analysis; data; estimation; et al; fruit; fruit volume; journal; machine; methods; modelling; models; results; study; techniques; volume; volume estimation
• Estimation and Comparison of Seismic Hazard Parameters for National Capital Region of India: using an Updated Earthquake Catalogue by M. Madhusudhan Reddy (2025) - [24] Iyengar, R.N. and Ghosh, S., Microzonation of earthquake hazard in greater Delhi area. [70] Stepp J.C., Analysis of completeness of the earthquake sample in the Puget Sound area and its effect on statistical estimates of earthquake hazard, In Proc. of the 1st Int. Keywords: analysis; catalogue; completeness; data; delhi; earthquake; engineering; events; fault; ground; hazard; india; magnitude; parameters; region; study
• Artificial Intelligence Based Public Air Purifying System by Paresha M. Dudhedia (2025) - These algorithms analyze extensive data from pollution sensors and meteorological sources to identify patterns, forecast pollution trends, and enhance the functionality of air purification systems with remarkable precision and efficacy. IoT based solar powered air purifier with air quality monitoring system. Keywords: air; analysis; data; filters; monitoring; pollution; purification; quality; sensors; system; time
• An Integrated Approach to Optimize Risk in SCM using Blockchain and Machine Learning Techniques by Ritesh Kumar Singh (2025) - The integration of blockchain and machine learning is becoming effective in thoroughly mitigating supply chain risks. Sustainability‐related supply chain risks and supply chain performances: The moderating effects of dynamic supply chain management practices. Keywords: analysis; blockchain; chain management; data; learning; machine; machine learning; management; research; risk; scm; supply; supply chain; vol
• Efficiency of Hotels Using Data Envelopment Analysis in Dar es Salaam, Tanzania by Lilian J. Kishimbo (2025) - Their research did not consider hotels efficiency as neither inputs nor outputs were analysed. For this reason, it is rational to reconsider examination of hotel efficiency in Tanzania using a new data set and proxies of productivity. Keywords: analysis; data; dea; efficiency; et al; hotels; inputs; management; number; performance; revenue; study; tourism
• Effective Information and Extraction an Improved Semantic Pattern Based Approach in LDA Model using Bigdata by K. Sundravadivelu (2025) - It uses text mining techniques to apply sequential pattern mining algorithms to extract text patterns in the corpus. The challenge of sequential pattern mining entails extracting frequent non-contiguous or contiguous sub-sequences. Keywords: analysis; data; documents; information; lda; mining; model; pattern; slda; terms; text; topic; words
• Design and Analysis of High Speed Low Power 4T-2R finFET-Memristor based SRAM by T.Swapna Rani (2025) - SRAM cell data indicates that R1 or R2 is set for low-level reading and writing. CTRL2 is VDD during RESET, whereas R1 or R2 is HRS depending on SRAM cell data. Keywords: analysis; cell; consumption; data; delay; design; figure; finfet; memristor; power; reading; sram; writing
• Applications of Discrete Mathematics in Computer Science: Algorithms, Graph Theory, and Beyond by R. Vinodhini (2025) - Step 1: Data Collection and Preprocessing The first of the steps in the proposed methodology involves the acquisition of network traffic data that forms the input to the IDS. When several generations of features have been produced, the fittest set of features is chosen and utilized in model training [16]. Keywords: algorithms; analysis; computer; data; https://doi.org/10.5555/1234567; hybrid; issue; mathematics; model; theory; vol
• Text-Based Airline Sentiments Analysis Using Deep Learning Ensemble Optimization by Abha Kiran Rajpoot (2025) - The Monkey learn model achieved 75% precision, 91% recall, and 89% of accuracy, showing the model capabilities in real time Text sentiment analysis. Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 7s (2025) 221 https://internationalpubls.com Text-Based Airline Sentiments Analysis Using Deep Learning Ensemble Optimization Abha Kiran Rajpoot1, Mayank Kumar Goyal2, Mandeep Kaur3, Anubhav Kumar4, Kimmi Verma5, Setu Garg6 1,4School of Computer Science & Engineering, Galgotias University, Greater Noida 2Department of Computer Science & Engineering, SSET, Sharda University, Greater Noida 3School of Computer Science Engineering and Technology, Bennett University, Greater Noida 5Department of Computer Science & Engineering, ABES Engineering College, Ghaziabad 6Department of ECE, ITS Engineering College, Greater Noida Article History: Received: 24-10-2024 Revised: 07-11-2024 Accepted: 15-12-2024 Abstract: Text Sentiment Analysis is one of the foundational pillars of sentiment analysis. Keywords: analysis; classification; cpd; data; feature; learning; methods; ppd; reviews; selection; sentiment
• Advancing Mental Health Diagnostics Through the Fusion of Multimodal Data with CNN and LSTM Techniques by Chhaya Nayak (2025) - The purpose of this research paper is or objectives of the paper include The objective of this paper is to propose an integrated diagnostic model based on the combination of CNNs and LSTMs to analyze multiple data streams for mental health assessment[3]. RELATED WORK Previous Diagnostic methodologies and Their Disadvantages Most conventional approaches to diagnosis in mental health mainly involve assessments from the clinician, interview methods along with some questionnaires which include the DSM-5/ ICD-10 criteria. Keywords: accuracy; analysis; cnn; conference; data; diagnostic; doi; features; health; issn; learning; lstm; model; multimodal; vol; work
• Early 2024 Research on Recent Advances in the Diagnosis of Breast Cancer Leveraging Deep Learning Techniques by Ishita Rana (2025) - [13] Wang, P.; Wang, J.; Li, Y.; Li, P.; Li, L.; Jiang, M. Automatic classification of BrC histopathological images based on deep feature fusion and enhanced routing. [16] Albarqouni, S.; Baur, C.; Achilles, F.; Belagiannis, V.; Demirci, S.; Navab, N. Aggnet: DL from crowds for mitosis detection in BrC histology images. Keywords: analysis; brc; breast; cancer; classification; cnn; data; deep; detection; diagnosis; image; imaging; learning; model; vol
• Data-Driven Seismic Analysis of Structures Using Machine Learning by Santha kumari Kambala (2025) - According to the study, aspect ratios, bordering element reinforcement indices, and wall length to wall ratio of thickness are key factors in shear wall failure. In spite of its significance, the inadequate safety margins of shear walls have been brought to light by post-earthquake reconnaissance and current experimental investigations. Keywords: boost; data; engineering; failure; figure; learning; machine; methods; model; shear; structures; walls
• Deep Learning Applications in Medical Image Analysis:Enhancing Radiology with Automated Diagnostic Tools by Jihane Ben Slimane (2025) - Privacy, Security, and Interoperability in Medical Imaging Given that medical imaging data is one of the most sensitive types of information, ensuring privacy and security are crucial when using deep learning models. These datasets were then used to train deep learning models, mainly convolutional neural networks (CNNs) and transformer architectures to identify feature determinants for common diagnostic markers. Keywords: accuracy; analysis; data; healthcare; image; imaging; learning; model; performance; radiology; tools
• Innovative Quantitative and Analytical Approaches to Art Therapy Utilizing Technology to Address Emotional Burnout by Alla Kolodyazhna (2025) - A key component of this approach was statistical analysis, which served a pivotal role in quantifying the impact of art therapy interventions on emotional well-being. Abstract This article explores the intersection of quantitative analysis, art therapy, and technology as innovative approaches to addressing emotional burnout. Keywords: analysis; art; burnout; data; group; intervention; participants; technology; therapy
• Mathematical Insights and Applications of K-Means Clustering in Diabetes Data Analysis by Sofi. A. Francis (2025) - Model Formulation The objective of K-Means clustering is to partition a set of n diabetic patients into K clusters, minimizing the within-cluster sum of squares (WCSS). Objective Function: Minimize the total within-cluster variance: Minimize ∑ ∑ ||𝒙𝒊 − 𝒄𝒌||𝟐 𝒙𝒊∈𝑪𝒌 𝑲 𝒌=𝟏 Where: ck is the centroid of cluster k, Ck is the set of patients assigned to cluster k, xi − ck 2 represents the squared Euclidean distance between patient i and the centroid of cluster k. Constraints: Each patient must be assigned to exactly one cluster: ∑ 𝒚𝒊𝒌 𝑲 𝒌=𝟏 = 1 ∀ i ∈ 1, 2,……. Keywords: algorithm; analysis; centroid; clustering; clusters; data; means; plot; research; step
• Applications of Machine Learning in Computer Vision: A Review by R.Sugunthakunthalambigai (2025) - Environmental Monitoring and Sustainable Smart Cities An example is Lonsinger et al. (2024) who assessed the use of ML classification image for the detection of occupancy in automated conservation [26]. It categorises an input image by identifying ‘k’ images in the feature space that most resemble the input and the category with the highest number of such images belong to. Keywords: accuracy; algorithms; analysis; applications; classification; computer; data; detection; image; learning; machine; review; vision
• Natural Language Processing Techniques for Sentiment Analysis in Social Media by Pramod Kumar (2025) - Sentiment analysis-also known as opinion mining-concerns the process applied based on NLP techniques that involve discernment of the sentiment carried or mailto:pramodtiwaripatna@gmail.com mailto:tvijay787@gmail.com Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 By studying this area, the effectiveness of implementing sentiment analysis in such a dynamic and diverse field as social media can be illustrated and explained. Keywords: accuracy; analysis; bert; data; learning; machine; media; models; regression; sentiment; sentiment analysis
• Advanced Deep Learning Approaches for Predicting Breast Cancer Genes Using Spectrographic Data by Shalini M (2025) - More study is needed to find solutions to the problems with conventional detection methods and to develop uniform approaches to gathering and analyzing breast cancer data from mammograms along with other medical imaging sources. Any necessary adjustments to hyperparameters are made to fine-tune the model, ensuring its efficacy in accurately classifying breast cancer genes based on spectrogram data. Keywords: accuracy; analysis; breast; breast cancer; cancer; classification; cnn; data; dna; gene; gnn; learning; machine; model; sequence; spectrogram; training
• Long- and Short-Term Memory Networks in Financial Market Predictions: A Study on USD Fluctuations by Himanshu Jindia (2025) - The CNN-STLSTM to AM is compared against the SVR [25], CNN network, GRU- LSTM, LSTM, CNNLSTM, and CNN-LSTM to AM in this study. 3. Research Gap Several research gaps persist in adequately addressing the intricacies of USD exchange rate changes, despite the extensive use of Long- and Short-Term Memory (LSTM) networks in financial market prediction. Keywords: cnn; data; exchange; lstm; memory; model; rate; stlstm; term; usd
• Real Time Monitoring and Control of Pump by Deep Reinforcement Learning by Paromita Goswami (2025) - This paper addresses a multiple objective optimizing issue for water pump station functioning under heavy rains. Unfortunately, effective control is typically lacking when rule-based pump operations are used in isolation to monitor basin water levels. Keywords: basin; control; data; ddqn; learning; level; model; pump; pumping; rainfall; reinforcement; station; time; water
• Exploring Linguistic and Emotional Models for Audio Sentiment Analysis Using NLP by Sapna Sharma (2025) - Domain-Specific Sentiment Analysis: Build sentiment analysis models tailored for specific domains, such as healthcare, finance, or education, to accurately capture region or industry-specific emotions. We observed significant improvements in audio sentiment analysis, confirming the validity of our proposed approach. Keywords: analysis; audio; data; language; learning; model; nlp; sentiment; sentiment analysis; text
• SMSDI: Secure Multiservice Spatial Data Infrastructure using Public Key Cryptography by Nikhil Khandare (2025) - Received: 28-10-2024 Revised:12-11-2024 Accepted:19-12-2024 Abstract: With the aim of making spatial data readily available to people, enterprises, and governments for successful regional, state, and national decision-making, countries are focused on building spatial data infrastructure that can provide reliable spatiotemporal data. Huge work has been undertaken into the study and precision of spatial data, but relatively little attention is paid to the security of spatial data infrastructure. Keywords: analysis; attack; curve; data; data infrastructure; database; infrastructure; key; layer; problem; public; sdi; security; service; spatial; system; user
• Hybrid Deep Learning Framework for Real-Time Source Code Vulnerability Detection by Gunda Brahma Sagara (2025) - Abstract: Source code vulnerabilities threaten software security, making detection essential in modern development. Advancements in machine learning (ML) and deep learning (DL) offer promising solutions for automating and enhancing source code vulnerability detection. Keywords: analysis; code; data; detection; graph; hybrid; learning; networks; source; system; test; vulnerabilities
• Enhanced Customer Emotions Classifications in E-Commerce on Sentiment Analysis with Convolutional Neural Network by Kamalakannan. R (2025) - Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 7s (2025) 911 https://internationalpubls.com Scope, Opportunities, and Contemporary Challenges of customer emotion classification in e- commerce using sentiment analysis and convolutional neural networks (CNNs): Scope of Customer Emotions Classification in E-Commerce 1. The scope of customer emotion classification in e-commerce is vast, offering opportunities to enhance customer experiences, optimize business strategies, and drive innovation. Keywords: analysis; classification; cnns; commerce; customer; data; doi; emotion; learning; models; product; reviews; sentiment; sentiment analysis; vol
• A mathematical approach for Data Management Transformation: Bridging Data Lakes and Data Fabrics with Advanced Analytics by Albia Maqbool (2025) - In contrast, data fabrics provide an integrated intelligent layer that connects diverse data environments, ensuring superior agility, better data quality, and more optimized performance. Data fabrics utilize advanced analytics and machine learning to dynamically evaluate data flows and change them accordingly, automate integration processes and help organisations get just-in-time and just-enough data driven decisions quicker. Keywords: analysis; analytics; architecture; compliance; data; fabrics; governance; integration; lakes; management; metadata; organizations; processing; quality; table; time; vol
• A Python Framework for Pest Management and Crop Yield prediction by Yogesh V. Gandge (2025) - In this paper the study is focused on pest value prediction and the best time for the application of the pesticide to the crop. [5] Y. Shang and Y. Zhu, ‘‘Research on intelligent pest prediction of based on improved artificial neural network,’’ in Proc. Keywords: crop; data; model; pest; prediction; values; vol; yield
• Mathematical and Statistical Tools for Ensuring Fairness in Computational Models by A. K. Chaudhary (2025) - On the other hand, group fairness is about ensuring equity across different demographic groups. It reviews basic concepts of fairness, such as demographic parity, equality of odds, and individual fairness; methods for detecting and mitigating bias. Keywords: accuracy; analysis; bias; data; fairness; group 𝑃(; models; processing; 𝑃( �
• Applied Nonlinear Analysis of Machine Learning Models for Education Streams: A Mathematical and Statistical Perspective by Swapnil B. Mohod (2025) - Challenges and Research Gaps Despite their advantages, nonlinear machine learning models face several challenges in educational contexts. Opportunities The application of nonlinear machine learning models presents numerous opportunities: 1. Keywords: analysis; data; education; engagement; learning; learning models; machine; machine learning; models; networks; performance; student; systems; techniques
• A Sustainable Framework for Implementing a Real Estate and TDR Exchange in Berlin: Leveraging Environmental Data and Regulatory Compliance by Shubhada Subhash Patil (2025) - BauGB provides the legal foundation for land use and urban development in Germany. Integrating Environmental Atlas datasets with zoning regulations could enhance transparency and precision in urban development. Keywords: areas; berlin; data; development; environmental; land; tdr; urban; use; zoning
• A Study of the Population Ecology of Asian Elephants in using the Logistic Growth Model by Ahamed Amani M (2025) - Elephant population (AfESG &AsESG, 2019). The optimal approach to model the population of Asian elephants in India using available data is the logistic model. Keywords: data; differential; elephants; equation; function; growth; india; model; population; rate; species; time
• A Nonlinear Approach to FECG Signal Enhancement Using an Ensemble of Convolutional Neural Networks by Yojana Sharma (2025) - This article introduces a novel ensemble CNN approach specifically designed to enhance FECG signals by leveraging CNN architectures hierarchical feature extraction capabilities. However, noise frequently taints FECG signals during capture, masking the useful diagnostic information they carry. Keywords: analysis; cnn; data; denoising; ensemble; fecg; fecg signal; learning; model; noise; processing; signal; training; vol
• Design of an Integrated Model with Contrastive Predictive Coding and Model-Agnostic Meta-Learning for Adaptive and Explainable Mobile Forensic Analysis by Preeti Dudhe (2025) - Embedding Dimension 3 Call Log Frequency 0.76 0.45 0.62 Message Sentiment 0.89 0.54 0.48 Location Patterns 0.67 0.83 0.59 In summary, the CPC embedding shows how well the model can capture good representations about sequential data by extracting strong temporal dependencies within mobile forensic data samples. An integrated view emerges that shows that these approaches are not only critical for adapting to the growing complexity of forensic data but also for enhancing accuracy, scalability, and interpretability in forensic analysis. Keywords: analysis; cpc; data; detection; feature; forensic; interpretability; learning; maml; method; mobile; model; patterns; shap
• A Bibliometric Analysis of Artificial Intelligence in the Banking Sector: Trends, and Future Directions by Charmee shah (2025) - Another significant consideration is the geographical variation seen in the output of AI research. Although a sudden spike in AI research within banking is witnessed all over the world, there exists a variance in regional contribution. Keywords: analysis; banking; banking sector; banks; citations; customer; data; intelligence; journal; management; publications; research; sector; study; university
• Evaluating Deep Learning Approaches for Accurate Soil Moisture Prediction by Hem Chandra Joshi (2025) - This study provides valuable insights into the comparative performance of deep learning models. The results validate the applicability of deep learning models, particularly Transformer and Conv- LSTM architectures, for soil moisture prediction. Keywords: 2023; accuracy; analysis; cnn; data; deep; learning; lstm; model; moisture; performance; prediction; rmse; soil; spatial; transformer
• A study on Mitigation Strategies and Techniques to Reduce IoT Attacks through Cybersecurity and Block Chain Technology by Mala B A (2025) - Apart from this, integrating Blockchain Technology into IoT security, enterprises/organizations can fortify their IoT infrastructure and protect themselves from ever changing cyber threats by understanding the motivations of attackers is also discussed. Enhancement of IoT security with respect to patient and medical data for healthcare IoT systems are explained in [3]. Keywords: access; analysis; attacks; authentication; chain; communications; data; detection; devices; incidents; iot; issn; mitigation; number; security; systems; threat; total; vol
• Comparative Study of Machine Learning Models for Predicting Cardio Activities Based on Diverse Performance Metrics by M. Vijayakanth (2025) - The experimental findings provide a comprehensive understanding of the relative effectiveness of the models, offering practical insights for identifying optimal methodologies in the domain of cardio activity predictions. The results of this study have the potential to significantly enhance the accuracy and utility of cardio activity predictions, thereby contributing to the evolution of personalized healthcare solutions and fitness optimization strategies, where data-driven decision- making assumes a pivotal role. Keywords: activities; activity; cardio; data; forest; learning; machine; models; performance; random; tree
• Integrating Machine Learning Approaches for Predictive Analysis of Heart Disease Risk Factors by R. Raja (2025) - Chen et al. (2019) examined the application of feature selection techniques in enhancing the accuracy of heart disease prediction models. Keywords: Heart disease prediction, machine learning, Random Forest, Multilayer Perceptron, Linear Regression, SMOreg, REP Tree, clinical parameters, predictive modeling, performance metrics, Correlation Coefficient, MAE, RMSE, RAE, RRSE. Keywords: analysis; data; disease; error; forest; heart; heart disease; learning; machine; models; regression; tree
• A Deep Neural Network Model for Forecasting Variable Stock Movement Intervals by Dinesh Singh Dhakar (2025) - In the context of stock market data, this means breaking down the original time series into various frequency bands or levels. Typically, stock market forecasting can be categories based on the tenure of training and testing intervals [6]. Keywords: analysis; approach; data; forecasting; mape; market; sentiment; stock; term; training; vol
• Blockchain-Enhanced Project Management Systems in Engineering and Construction by Nischal silwal (2025) - As such, there is increasing interest in applying blockchain technology in project management systems to mitigate the challenges facing them [1]. This article explores the applicability of blockchain enabled project management systems in the designers and constructors’ cases and assesses the advantages, challenges and potential blockchain’s role in the designers and constructors’ domains. Keywords: blockchain; construction; data; management; payment; project; resource; system; technology; time
• Sustainable Engineering and Management Practices Enabled by Green AI Technologies by Bajirao Subhash Shirole (2025) - In the field of sustainable development, blockchain and AI technologies are being used to cut the environmental impact. [22] used system dynamics and AI models to optimize infrastructure management. Keywords: algorithm; ann; consumption; data; decision; energy; engineering; green; management; resource; sustainability
• Developing Ethnomathematical-Based Learning Stages on Mathematical Communication Skills with Kastolan Error Analysis by Hamidah, et al. (2024) - Indicator 1 Mathematical Communication Skills Furthermore, the results of students' work in solving question 1 are presented based on the categories of student communication skills (high, medium, and low) randomly selected in the following picture. Furthermore, the results of students' work in solving question 2 are presented based on the categories of student communication skills (high, medium, and low) randomly selected in the following picture. Keywords: analysis; answer; category; communication; communication skills; culture; data; errors; ethnomathematics; ideas; issn; learning; mathematics; problems; question; research; results; skills; students; vol
• Enhancing Gastrointestinal Disease Detection through Augmented Deep Learning by Rakesh Sharma (2025) - However, variability in GI images—caused by different lighting conditions, camera angles, and individual anatomical differences—continues to pose significant challenges. This algorithm leverages a systematic approach to enhance GI disease detection accuracy through data preprocessing, feature extraction, and ensemble learning. Keywords: accuracy; augmentation; data; dataset; detection; disease; learning; model; vol
• Cybersecurity: A Survey of Threats, Technologies, and Solutions by Mohammed. I. Alghamdi (2025) - Through this mailto:Mialmushilah@bu.edu.sa mailto:aseel23.research@gmail.com mailto:0011wafaa1100@gmail.com Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 8s (2025) 655 https://internationalpubls.com analysis, we aim to provide a valuable resource for cybersecurity professionals, policymakers, and researchers, aiding them in understanding the complexities of cybersecurity threats and the innovative solutions that are shaping the future of digital defense. The study employs a qualitative research design, leveraging secondary data to explore the landscape of cybersecurity threats, technologies, and solutions. Keywords: analysis; attacks; challenges; cybersecurity; data; future; organizations; research; solutions; survey; technologies; threats
• Construct Post Competency Model Based on the Big Data Technology by Feng Jing (2025) - Third, according to the quantitative level model of data big data job competency, further improve and clarify the job responsibilities and qualifications of talents in data enterprises (Daouk-Öyry et al., 2021). This paper takes software project manager competency as the core, starting from the current project management situation of DW Company, analyzes some problems existing in the current project manager post competency, and obtains the necessity of building a post competency model. Keywords: ability; analysis; characteristics; company; competency; competency model; data; development; factor; job; knowledge; management; manager; method; performance; project; recruitment; research; software; technology; weight
• Improving Recommendation Systems with Machine Learning-Based Noise Management by Kausar Attar (2025) - He et al. (2023) introduced a novel approach using CNNs for denoising user interaction data. This was achieved on a dataset with noisy user interaction data for evaluation. Keywords: data; model; noise; recommendation; systems; user; vol
• Mathematical Modeling and analysis of the Relationship Between Educational Achievements and Income by Archana Ratnaparkhi (2025) - CONCLUSION Education and experience play a vital role in the determi- nation of income level; better education is highly associated with income, and the degrees obtained at higher education levels, such as PhD and master’s degrees, influence income greatly. The interquartile range (IQR)represents the middle 50% of the information; that is, it varies between education levels-the distribution of incomes is different at each level of education. Keywords: analysis; data; education; experience; income; level; relationship; work
• Integrating Data Analysis and Predictive Analytics into an Advanced Inventory Management System using Machine Learning and Deep Learning to Address Backorders by Bhushan Jadhav (2025) - Conse-quently, there is a rising demand for inventory management systems that will op-timize their functionality through technology and data to improve performance. The development and implementation of inventory management systems in the retail. Keywords: analysis; data; demand; inventory; learning; machine; management; model; stock; system; vol
• Integrated Framework for Data Security in Cloud Computing Using Deep Learning Techniques by Gantela Prabhakar (2025) - Deep learning models, which employ complex algorithms, can improve cloud system security by identifying unusual activity, calculating risk based on user activity patterns, and instantly modifying authentication procedures. Due to the growing inefficiency of traditional perimeter- based security models in today’s cloud-centric and remote work contexts, we employed integrated deep learning techniques for cloud data security in this article. Keywords: accuracy; authentication; behavior; cloud; computing; data; detection; learning; models; networks; risk; scoring; security; user; work
• A Cross-Layer-Routing Protocol with Malicious node detection using BiRNN in WSN by S.Saritha (2025) - An efficient and secure malicious node detection model for wireless sensor networks. No. 8s (2025) 811 https://internationalpubls.com A Cross-Layer-Routing Protocol with Malicious node detection using BiRNN in WSN 1S.Saritha, 2Dr. Keywords: algorithm; analysis; communications; data; delay; detection; energy; equation; kgmo; model; network; nodes; packet; power; security; sensor
• Prediction and Assessment of Software Engineering Skill Set among Computer Science Students using Random Forest Algorithm by Jasmin Nizar (2025) - The highlights of this paper are as follows: • PCA-based RF algorithm to predict various skill sets of software engineering students, namely, soft skills, life skills, and technical skills. Results: The modelling outcomes show that the suggested PCA-based Random Forest model has a higher prediction accuracy of 86.5% for Soft skills, 84.6% for Life skills, and 87% for Technical skills than the standard machine learning models used for comparisons. Keywords: accuracy; analysis; data; decision; education; engineering; forest; learning; life; machine; model; pca; project; skills; software; students; study
• A Study on Comparative Analysis of Energy-Efficient Cluster-Based Algorithms for Wireless Sensor Networks by M. V. Sudhamani (2025) - Keywords WSN, Energy efficient algorithms, Comparative analysis, Cluster, Cluster Head. Despite their potential, the energy constraints of sensor nodes significantly impact the network’s operational lifespan, necessitating efficient energy management techniques. Keywords: algorithms; clustering; data; energy; networks; nodes; sensor
• A Secure Framework based on Sensor-Cloud architecture for Healthcare data using enhanced Elliptic Curve Encryption by Munish Saran, (2025) - By harnessing the power of the cloud, Sensor-Cloud provides a scalable and cost-effective solution for managing massive amounts of sensor data. Wireless communication protocols such as Wi-Fi, Bluetooth, or cellular networks are commonly used to transmit sensor data to the cloud. Keywords: access; analysis; cloud; curve; data; encryption; healthcare; key; security; sensor; time; user
• A Hybrid Model for Brain Tumor Segmentation using VGG16 and ResNet50 by V.R. Elangovan (2025) - Brain tumor segmentation from MRI scans has been our primary emphasis here. A more robust training method and better segmentation outcomes using U-Net based architectures for the problem of brain tumor segmentation are shown by using encoders pretrained on ImageNet. Keywords: analysis; brain; brain tumor; cancer; data; image; learning; model; mri; network; resnet50; segmentation; tumor
• Leukemia Cancer Gene Identification Through Genetic Optimization Technique and Prediction with LSTM by M.Kalaivani , (2025) - [11] suggested a compounded feature selection approach for classifying cancer gene data. The selected features are expected to improve classification accuracy for cancer gene data. Keywords: accuracy; algorithm; analysis; cancer; classification; data; features; gene; leukemia; method; microarray; model; optimization; optimizer; research; selection
• A Hybrid Model for Brain Tumor Segmentation using VGG16 and ResNet50 by V.R. Elangovan, (2025) - Brain tumor segmentation from MRI scans has been our primary emphasis here. A more robust training method and better segmentation outcomes using U-Net based architectures for the problem of brain tumor segmentation are shown by using encoders pretrained on ImageNet. Keywords: analysis; brain; brain tumor; cancer; data; image; learning; model; mri; network; resnet50; segmentation; tumor
• Optimal Resource Planning Using Homer PRO with Monthly Predictions from TCN-based Bidirectional-GRU-LSTM Models by Anuku Arjuna Rao (2025) - ‘Application of temporal convolutional networks for energy load forecasting in smart grids’. The forecasted load serves as an input for HOMER simulations, facilitating a comprehensive analysis of costs and performance for renewable energy systems. Keywords: analysis; cost; data; energy; forecasting; gru; homer; issn; learning; load; lstm; model; systems; tcn; time; vol
• Development of Probability Distribution Functions for Material Utilization in Road Construction Projects by Gaurav Gautam (2024) - This article provides an overview of construction project supply chain study utilizing a variety of indices from econometric analysis. Improved planning and scheduling criteria Highway construction projects can be created utilizing real-time data from the job site. Keywords: analysis; base; chain; construction; course; data; management; material; number; project; study; supply; utilisation
• A Secure Blockchain Framework for Privacy Preserving in Supply Chain Management based on Hybrid Autoencoder and LSTM Neural Network by Ritesh Kumar Singh (2025) - Define the LSTM Model Architecture: o Input Layer: Accepts sequences of transaction data with dimensions o LSTM Layers: ▪ Add stacked LSTM layers with hidden units in each layer. The process starts with the blockchain network being initialized and a structured system for transaction data, including hashed private data, being established. Keywords: blockchain; data; dataset; learning; lstm; management; model; risk; scm; security; supply; transactions; vol
• Modeling Economic Impact: Structural Equation Analysis of Ram Mandir’s Influence on Ayodhya by Samdish Sharma (2025) - [8] C. Bordes and C. Rojas, ‘The nexus between tourism development and local economic growth: Evidence from Portugal’, Tourism Economics, vol. 27, no. 2, pp. The findings indicate that targeted investments in tourism and infrastructure can serve as effective levers for promoting local economic growth and improving the quality of life for residents. Keywords: analysis; ayodhya; business; business growth; data; development; employment; growth; impact; infrastructure; infrastructure investment; investment; tourism; tourism development; vol
• Enhancing Urban Mobility: AI-Driven Smart Intelligent Parking Systems for Smart Cities by Yogesh Kumar Singh (2025) - Components of smart parking system Figure 3. Components of smart parking system The Figure 2 proposed intelligent parking system comprises several advanced components that work together to create an efficient and automated solution for modern urban environments. Keywords: cities; data; iot; lot; management; parking; parking systems; spots; systems; time; urban; user; vehicles
• Performance Optimization in Dynamic Routing Protocols for Wireless Sensor Network by Shraddha N. Zanjat (2025) - Energy efficient wireless sensor network using neural network- based smart sampling and reliable routing protocol. It is validated based on network energy consumption and time consumption under node faults, including the algorithm flow chart, fault diagnosis models, network energy, PSO description, etc. Keywords: analysis; aomdv; cdmfd; communications; consumption; data; eeds; end; energy; figure; issn; network; node; optimization; routing; sensor; sensor networks; vol; wireless
• An Iterative Systematic Analytical Review of Large Language Models for Medical Applications Using GPT-4, BERT Variants, and Vision Transformers by Wani H. Bisen (2025) - Such models have also proven spectacular performance even in the subtlest kind of applications ranging from clinical decision support to generating medical reports-and so promised unparalleled potential to reduce the workload, to raise the accuracy sets of diagnosis, and make patient care sets better. Medical large language models are susceptible to targeted misinformation attacks. Keywords: accuracy; analysis; applications; communications; data; generation; healthcare; issn; language; llms; med; models; performance; reports; review; sets; text; vol
• Comparative Analysis of Machine Learning Algorithms for Water Quality Index Prediction by D. Dasu (2025) - The importance of quality water cannot be stressed in the field of aquaculture where water quality directly impacts the growth and health of aquatic organisms. The study emphasized ANN’s capability to model complex relationships in water quality data and underscored the need for robust monitoring systems to manage upstream irrigation and pollution impacts.11 Al Shehhi, Maryam R and Abdullah Kaya (2020) explored SARIMA, regression, and neural networks for forecasting water quality parameters such as chlorophyll-a (Chl-a), fluorescence line height (FLH), and sea surface temperature (SST) using MODIS satellite data from 2003 to 2012 in the Arabian Gulf. Keywords: data; index; learning; machine; prediction; quality; regression; water; water quality; wqi
• A Novel & Effective Detection of Alzheimer's Disease using Extremely Randomized Trees Models by BingiManorama Devi (2025) - No. 9s (2025) 717 https://internationalpubls.com and Alzheimer's Disease Using Structural MRI Features. On the other hand, there have recently been numerous attempts to use MRI data to diagnose. Keywords: accuracy; alzheimer; analysis; brain; classification; communications; data; dementia; disease; eta; issn; learning; machine; mri; vol
• Enhanced Accuracy in Cellular Automata-Markov Chain Model for Land Classification Analysis and Prediction by Susanta Kundu (2025) - LC accuracy land use changes aid long-term planning, balancing economic growth, social equity, and environmental conservation. [17] M. Wang, L. Cai, H. Xu, and S. Zhao, “Predicting land use changes in northern China using logistic regression, cellular automata, and a Markov model,” Arab J Geosci, vol. 12, no. 24, p. 790, Dec. 2019, doi: 10.1007/s12517-019-4985-9. Keywords: accuracy; analysis; changes; classification; data; doi; land; model; sensing; study; technology; urban; use; vol
• A Comprehensive Review of Image-Based Concrete Crack Analysis Using Deep Learning by Vidya V V (2025) - [50] focuses on categorizing crack images by locating Crack Candidate Regions (CCRs) using color and shape. Keywords: Image Processing, Crack detection, analysis, DL. Keywords: analysis; communications; concrete; crack; crack detection; data; deep; detection; dictionary; engineering; ieee; image; issn; learning; machine; method; model; network; processing; structures; surface; techniques; vol
• Supervised Vs. Unsupervised Learning: A Comparative Study in Modern AI System by Roshni Verma (2025) - Hypothesis The study formulates the following hypotheses to test the comparative performance of supervised and unsupervised learning models: H1: Supervised learning models (Decision Trees, SVM) will exhibit significantly higher accuracy and lower error rates than unsupervised learning models (K-Means, Autoencoders). Such unsupervised learning models as k-means clustering and autoencoders could also be mentioned. Keywords: accuracy; analysis; classification; data; decision; learning; machine; models; performance; svm
• Enhancing Social Media Influence with Cutting-Edge Machine Learning Approaches by P.UmaMaheswari, A.Kumar Kombaiya (2025) - Hyperlink-Induced Topic Search (HITS) uses an algorithm to create large amounts of searchable social network data. After doing extensive study across several social media networks, concluded Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 Keywords: accuracy; analysis; classification; data; facebook; function; fusion; influence; instagram; media; model; svm; vol; youtube
• An Automated Framework Blockchain-Based Agriculture Supply Chain by Ankita K. Tiwari, Seema Mahajan (2025) - Blockchain based traceability system in food supply chain. Incorporating block chain technology in food supply chain. Keywords: analysis; blockchain; data; food; food supply; information; management; security; supply; supply chain; technology; traceability
• A Comprehensive Study of Text Summarization with Advent of Large Language Models by Dr. Geetanjali Vinayak Kale (2025) - Text summarization plays a major role in analysing big data and taking decisions based upon the insights drawn. The following paper surveys old techniques for text summarization and studies the new methodologies using Large Language Models. Keywords: analysis; data; document; email; idf; language; models; sentences; summaries; summarization; text; text summarization; vol; word
• An Energy-Delay Optimized Model for Efficient WBAN Communication in Iot-Enabled Autism Monitoring by Sagar Sudhakar Birade (2025) - Comparative analysis with existing WBAN data communication models demonstrate the superior performance of EDODCM, particularly in scenarios demanding continuous and accurate monitoring. Despite their potential, these systems face significant challenges, particularly in energy consumption and data communication efficiency [12], [13]. Keywords: communication; data; edodcm; energy; iot; network; nodes; sensing; vol; wban
• Rank based RELIEFG Method for Spam Mail Detection and Classification by B. Aruna Kumari (2025) - f-test values Type of data Relief ReliefF Iterative Relief ReliefG Quality data 0.98 0.98 0.99 0.92 data with Preprocessing 0.98 0.99 0.98 0.94 noisy data 0.98 0.99 0.99 0.97 data with outliers 0.97 0.98 0.98 0.97 data with missing values elimination 0.98 0.99 0.98 0.98 0 0.2 0.4 0.6 0.8 Relief ReliefF Iterative Relief ReliefG 0 0.2 0.4 0.6 0.8 Relief ReliefF Iterative Relief ReliefG Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s (2025) 1140 https://internationalpubls.com Fig 23. Due to the importance of Relief method, researchers have made many extensions to Relief. Keywords: bar; data; dataset; fig; iterative; line; relief; values
• Millimeter-Wave Communication Reliability Improvement Via Optimal Joint Source and Channel Coding by Dr. Rajesh Navandar (2025) - The following are the study's main contributions: • New JSCC Framework: Specifically designed for mmWave systems, we provide a new joint source and channel coding framework. Less Complexity in the System: • Source compression and error protection must be independently optimized in traditional separate source and channel coding systems. Keywords: analysis; channel; coding; communication; data; end; framework; jscc; mmwave; source; system; vol; wireless
• Image Encryption and Decryption Algorithm Based on Chaotic Systems and RSA Cryptography by Arabind Kumar (2025) - Image encryption involves transforming an image into an unreadable format that can only be mailto:crajnirohila@ncuindia.edu Communications on Applied Nonlinear Analysis ISSN: The application of chaotic systems in image encryption has garnered significant attention in recent years. Keywords: algorithm; cryptography; data; encryption; image; key; pixel; rsa; security; systems
• Quantum-Enhanced Ddos Detection in 5G Cloud Networks using Bottleneck Attention Mechanism by Anukriti Naithani, Shailendra Narayan Singh (2025) - Machine learning (ML) methods for DDoS attack detection were studied by Kati et al. In conclusion, QCNN (Figure 6) is the best model for 5G- enabled cloud DDoS detection, followed by CNN, LSTM, and Bi-LSTM. Keywords: attention; bottleneck; data; dataset; ddos; detection; learning; lstm; model; network; qcnn; step; vol
• Probabilistic Deming Deep Recursive Network and Schmidt-Samoa Cryptosystem for Cyber Attack Detection and Secure Transmission in Wireless Networks by Dhivya. R, B. Srinivasan (2025) - 5. Results and Discussion In this section, the performance of proposed PDRDRN-KSSS method technique is analyzed and compared with conventional BSDN-HMTD and FBMP-IDS in terms of different metrics such as attack detection accuracy, precision, recall, attack detection time, data confidentiality rate and data integrity rate. Then, the feature selection is performed using Deming Regression analysis to choose the more relevant features from the dataset for attack detection. Keywords: analysis; attack; attack detection; data; data samples; detection; features; ids; key; ksss; learning; network; pdrdrn; samples; signcryption; technique; time
• Intrusion Detection System in Wireless Sensor Network using Improved Whale Optimization and Enhanced Fuzzy Neural Network by P. Vijayalakshmi, P. M. Gomathi (2025) - The knowledge bases powering systems are hosted in Base Stations (BS) which store events generated by network nodes. The BS's event logging and analysis approach impacts performances of network nodes significantly, relieving them of additional security loads. Keywords: algorithm; analysis; chs; cluster; communications; data; detection; efnn; energy; features; intrusion; issn; network; nodes; optimization; sensor; vol; wsns
• Nonlinear Algebraic Topology: A Framework for High-Dimensional Data Analysis by Snigdha Madhab Ghosh (2025) - In machine learning, topological data analysis (TDA) has been applied to enhance model performances and explanation, especially when the data set is high-dimensional and complicated nonlinear. Topological data analysis for machine learning: A survey. Keywords: algebraic; analysis; complex; complexes; data; data analysis; features; homology; learning; nonlinear; tda; topological; topology
• Using Smart Management Frameworks to Reduce Memory Fragmentation in IoT based Embedded System by Debasis Behera, Suvendu Naraya Mishra (2025) - This thorough study process guarantees that the research results are both statistically significant and practically relevant by stressing the possibility of the SMF to enhance memory management in embedded IoT based embedded systems. The proposed Smart Management Framework (SMF) proved useful in order to overcome memory fragmentation issues in embedded IoT based embedded systems. Keywords: allocation; data; devices; energy; fragmentation; internet; iot; management; memory; security; smf; systems; things
• Deep Recurrent Neural Networks for Cardiac Arrhythmias Detection in Long-Term Ecg Analysis by Bukya Mohan Babu, B.Sandhya (2025) - By automating the analysis process, CNN models streamline clinical workflows, facilitate early detection of arrhythmias, and ultimately improve patient outcomes in cardiac care. This evaluate seeks to offer a comprehensive evaluate of the evolving landscape of ECG arrhythmia detection, evaluating various algorithmic methods and evaluating their effect on scientific diagnostics. Keywords: accuracy; analysis; arrhythmia; classification; cnn; data; detection; ecg; learning; model; performance; rnn; score; signals
• HealthCare: A Medical Diagnostic Solution Using AI by M.V.B Chandhrasekhar (2025) - This assures a great measure and scope of accuracy in disease detection thus giving fast and reliable results with a minimal chance for misdiagnosis. Then it uses disease- specific models such as CNNXGBoost, and Random Forest for disease predictions. Keywords: analysis; data; detection; diagnosis; disease; healthcare; learning; model; prediction; training
• Advanced Re-Sampling Techniques for Multi-Class Imbalanced Classification by K.V.Chandra Sekhar (2025) - Filtering is the second step that chooses clusters to be oversampled, keeping the ones with a high percentage of minority class samples. It further assigns the number of synthetic samples to be created, giving a higher number of samples to those clusters where minority class samples are scattered. Keywords: class; clusters; data; datasets; gmm; minority; model; performance; samples; smote
• Automated Attendance System with AI and Real-Time Camera Access using Facial Recognition by M.V.B. Chandrasekhar (2025) - Face recognition attendance system Open CV. The embracing of facial recognition technology in attendance monitoring systems assures a viable solution to surmount all these problems. Keywords: accuracy; attendance; data; detection; face; management; recognition; student; system; time
• A Unified Framework for Multimodal Emotion Recognition: Leveraging Text, Audio, and Visual Data for Enhanced Emotional Understanding by Sanjeeva Rao Sanku, B.Sandhya (2025) - This research presents a comprehensive approach to multimodal emotion recognition, utilizing state-of-the-art feature extraction methods tailored to each modality. [24] proposed vision, voice, and text data are concurrently used as multimodal sources in a unique multimodal emotion identification framework known as multimodal emotion recognition based on cascaded multichannel and hierarchical fusion (CMC-HF). Keywords: accuracy; analysis; audio; capsule; communications; data; emotion; emotion recognition; feature; figure; fusion; issn; learning; modalities; model; multimodal; net; network; recognition; scso; text; vol
• Algebraic Topology in Modern Cryptography: Bridging Abstract Structures with Secure Computation by Radheshyam R Sharma (2025) - By establishing algebraic topology as a foundational element in strengthening the resilience and adaptability of cryptographic systems, this work fosters interdisciplinary research and the exploration of new paradigms in secure information processing. By leveraging topological invariants, homotopy theory, simplicial complexes, and vector spaces, cryptographic systems can achieve enhanced resilience, efficiency, and adaptability. Keywords: algebraic; cryptographic; data; encryption; quantum; security; systems; techniques; topology; vol
• A Smart and Energy-Efficient Framework for Micro Electric IoT Applications Leveraging Deep Learning by S.Velmurugan (2025) - No. 9s (2025) 1793 https://internationalpubls.com how to incorporate energy consumption monitoring into your micro EIoT application: For battery- powered micro EIoT devices, monitoring energy consumption is critical for predicting battery life and optimizing sleep modes or duty cycles to extend the device's operational time between battery replacements or recharges. Load forecasting systems are utilized in several practical scenarios, such as day-ahead residential forecasting, which helps to optimize energy consumption from smart grids Keywords: analysis; applications; communications; consumption; data; dragonfly; energy; framework; ieee; internet; iot; issn; learning; micro; performance; things; vol
• Deep Learning for Secure Communication in Resource-Limited IoT Devices by Shaista sabeer (2025) - Develop a secure, lightweight deep learning model for IoT data security. The integration of deep learning models with Internet of Things (IoT) systems has garnered significant attention in recent years, primarily due to the growing concern for cybersecurity. Keywords: accuracy; cybersecurity; data; detection; iot; learning; optimization; pso; security; sgd; time
• Modeling for Competing Risk Regression in Survival Analysis with Application in Breast Cancer Disease by Sami Ali Obed, Kurdistan I. Mawlood (2025) - Competing Risk models in Survival Data Concerning the event of interest, subjects can be either observed (either event occurrence or censoring) or unobserved (in case of censoring prior to the end of the follow-up). Since they must be taken into consideration in order to produce accurate survival probability, these competing events are essential to competing risk regression models. Keywords: analysis; cause; data; distribution; event; function; hazard; model; regression; risks; survival; time
• Implementing AI Tools for Enhanced Student Performance Monitoring in Schools by Marthen Medlama (2025) - This comprehensive review examines the implementation of AI tools designed to enhance the monitoring and assessment of student performance in schools. The review concludes by highlighting future directions and best practices for effectively integrating AI tools to support student achievement. Keywords: data; education; learning; monitoring; performance; student; tools
• The Impact of Artificial Intelligence on Leadership Decision-Making: Opportunities and Challenges by Marthen Medlama (2025) - However, ethical concerns related to AI bias, accountability, and transparency remain significant (Binns, 2018). According to Davenport and Ronanki (2018), AI systems process vast amounts of information at an unprecedented speed, allowing leaders to make evidence-based decisions with greater accuracy. Keywords: data; decision; et al; leadership; making
• Design a Program to Improve Patient Data Recording According to the Tenth International Classification of Diseases (ICD-10) in the Wasit Health Department/Iraq for 2025 by Wria Abbas Al-Arkwze (2025) - Hence, over 117 countries are currently using ICD-10 to report causes of death and to classify and analyze health medical data, this method has become a powerful instrument for this purpose.[3] This study aims: to apply (EHRs-WHD) Electronic health records software in the Wasit Health Department to record diseases. Keywords: cases; data; health; information; program; software; vol; window
• Enhancing IoT Security: A Hybrid IDEA64 ECEG based Cryptographic Approach for Efficient Encryption and Robust Session Key Management by Remegius Praveen Sahayaraj L (2025) - They stress the significance of image data security, which is an essential component of data security. Increasing the use of the brute force method can also improve system security. Keywords: access; algorithm; analysis; bit; communications; cybersecurity; data; doi; encryption; healthcare; idea; information; iot; issn; key; security; session; system; time; vol
• Data Analysis of Light Vehicle Engineering Graduates in Tulungagung and Trenggalek to Assess the Importance of Entrepreneurship Education in Vocational High Schools by Mohammad Errik Maulana (2025) - 21-03-2025 Abstract: Entrepreneurship education in Vocational High Schools (VHS) is the main focus to improve the quality of graduates, equipping them with the skills to innovate and adapt in the dynamic world of work. This study aims to assess the importance of entrepreneurship education in VHS through data analysis of graduates of Light Vehicle Engineering in Tulungagung and Trenggalek. Keywords: analysis; business; data; development; doi; education; entrepreneurship; entrepreneurship education; graduates; program; skills; students; vhs
• Mobile-Enabled Internet of Drones: An Initiative Project for Advancing Drone Connectivity in 5G and Beyond 5G by Settapong Malisuwan, Cattleya Delmaire, Apichai Nimgirawath (2025) - This strong drone-ground interference issue, if not approached appropriately, could significantly restrict the performance of drone communication and even greatly reduce the performance of existing terrestrial communication, therefore leading to a spectral efficiency loss for the mobile network. The results demonstrate that mobile networks are capable of supporting high-rate data transmission for drone communication, particularly in LoS scenarios. Keywords: analysis; communication; control; data; drone; ground; interference; issn; latency; management; mobile; networks; performance; signal; systems; time; vol
• Mathematical Modeling and Statistical Exploration of Residual Computing Based Convolutional Neural Network Based Classifier for Complex Image Demarcation by Saroj Hiranwal, Bhawana Maurya, (2024) - The ResNet-50 architecture's depth and sophisticated design allow it to capture features and learn hierarchical representations, making it suitable for complex tasks such as brain tumor classification. This approach is particularly useful when the available training data is limited, and the pre-trained model's task (ImageNet classification) is similar to the new task (brain tumor classification). Keywords: analysis; brain; brain tumor; classification; data; features; images; layers; learning; model; network; resnet; segmentation; tumor
• Applications of Artificial Intelligence and Machine Learning in Power System Operation and Control: A Comprehensive Review by Ganesh Shingade (2025) - In conclusion, AI and ML-enabled predictive maintenance and asset management have a lot to offer power system control and operation. The main obstacles, prospects, and future directions in the application of AI and ML to power system control and operation are examined in this part. Keywords: algorithms; analysis; control; data; energy; grid; learning; maintenance; management; operation; power; power system; system; techniques; voltage
• The NovelHAP Algorithm for Human Crime Activity Prediction in Video Frames using Kalman Filter and Template Matching by Y. V. K. Durga Bhavani, V. B. Pagi (2025) - [16] proposed an architecture for video activity prediction that combines Saliency-aware Motion Enhancement (SME) with a Weighted Long Short-Term Memory Network (WLSTM). [16] proposed an architecture for video activity prediction using Saliency-aware Motion Enhancement (SME) with a Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 Keywords: activities; activity; analysis; crime; data; dataset; figure; filter; frame; hap; human; issn; kalman; model; objects; posture; prediction; template; tracking; video; vol
• Federated Learning: A Comprehensive Survey on Types, Applications, Challenges, and Future Directions by Nagaraj Naik, Vikranth B M (2025) - To ensure security and adaptability, techniques such as secure aggregation using homomorphic encryption, differential privacy, and personalized FL models have been proposed. While extensive works focus on the ML side of FL, the software architecture design of FL systems has received little attention. Keywords: applications; communication; data; devices; healthcare; learning; model; paper; privacy; security; systems; training; vol
• Revolutionizing Skull Classification: Leveraging Digital Forensics and Deep Learning in Physical Anthropology by Shashikiran S (2025) - (3) Scalability: The system must be able to process massive amounts of skull images quickly and accurately while handling datasets of various sizes and complexity. As manual skull recognition is a tedious process, we propose a deep learning (DL) approach and various feature extraction techniques(Fractal features) and feature combinations, to classify human skulls automatically. Keywords: accuracy; analysis; classification; cnn; data; doi; features; human; image; input; layer; learning; recognition; skulls; vol
• Gaussian and Gamma Mixture Model Approach to Rainfall Analysis in Flood-Prone Regions of Karnataka by Kumudha H R (2025) - After being rainfall data collected for 57 years, the southwest monsoon rainfall data for these areas is examined and put through a Gaussian-Gamma mixture (GGM) model. To capture the intricate features of rainfall data, including variability, skewness, and extreme events, sophisticated statistical techniques are required. Keywords: analysis; data; flood; gaussian; ggm; kannada; karnataka; model; rainfall; regions
• Integration of a Dual Hybrid Deep Convolutional Neural Network Framework for Insect Taxonomic Classification by M. Santhiya, S. Karpagavalli (2025) - In this study, Xception model has demonstrates the accuracy 98.02% in order level, 94.57% in family level and 80.58% in species level insect image classification. These steps ensure that the images are prepared for efficient training, enabling the DCNN models to effectively learn features from the data and make accurate and reliable predictions for insect image classification. Keywords: accuracy; classification; data; dcnn; doi; family; images; insect; level; model; order; species; vol
• DocSense: A Natural Language-Powered Search and Summarization Framework by Saurav Verma (2025) - DocSense, on the other hand, uses sophisticated language models to comprehend user inquiries in a context-aware way. DocSense, on the other hand, adopts a transformative strategy by utilising sophisticated language models to understand user inquiries in their particular circumstances. Keywords: analysis; chatbots; csv; data; docsense; information; language; users; youtube
• A Detailed Exploration of Elevating Cybersecurity through Quantum Computing: Innovative Deep Learning Strategies and Optimization Methods by Pavan Kumar Vadrevu (2025) - By integrating quantum deep learning with cybersecurity research, a stream crypto cipher and extreme convolutional networks are employed for encryption. Cyber security analysis based medical image encryption in cloud IoT network using quantum deep learning model. Keywords: accuracy; analysis; challenges; computing; cybersecurity; data; detection; encryption; et al; learning; machine; methods; models; quantum; quantum computing; systems; techniques
• A Novel Learner Enrolment Predictive System by Nivedita Sinha (2025) - [13] Khajehzadeh, M., & Seifi, A. “Predicting student enrolment using genetic programming.” (2022), Journal of Computing in Higher Education, 26(2), 112-127 In 2018 was Purba Daru Kusuma has proposed that beyond enhancing teaching and learning delivery, technology's integration offers a long-term advantage in managing student data, crucial for preparing various standard school forms and records Keywords: analysis; data; enrolment; home; issn; management; page; student; system; technology; vol
• AM-RPL in a Hybrid IoT Network with Static and Dynamic Devices in Cooja Simulator by Leelavathi R, Vidya A (2025) - The Articulation Node Based Mobile Node Routing Protocol (AM- RPL) is proposed to dynamically identify articulation nodes and direct mobile nodes toward them, ensuring balanced network load distribution. Methods: To achieve the research objectives, AM-RPL is designed to detect articulation nodes and guide mobile nodes to strategically reposition themselves within the network. Keywords: analysis; articulation; data; energy; iot; mobile; network; node; parent; performance; protocol; routing; rpl; time
• Probabilistic Perspective of Jungck Contractive Situations in Machine Learning by Ashutosh Mishra (2025) - This work explores the applicability of probabilistic metric spaces in machine learning, with a particular focus on the Jungck contractive notion. The Jungck contraction theorem extends the classical Banach contraction principle to the setting of probabilistic metric spaces. Keywords: data; learning; metric
• A Comprehensive Survey on Polymorphic Malware Analysis: Challenges, Techniques, and Future Directions by Madhavi Satish Avhankar (2025) - Polymorphic malware detection using sequence classification methods. Polymorphic malware detection using sequence classification methods and ensembles. Keywords: accuracy; analysis; approach; data; detection; feature; learning; malware; method; software; static; study; techniques
• Enhancing Network Security in Wireless Sensor Networks through Rsa-Based Secure Memory Management and Optimized Resource Allocation: A Comprehensive Survey by C. Visalatchi (2025) - RSA encryption, which is well-known for its robust data security properties, presents a potential method; yet, the intrinsic restrictions of WSNs prevent their widespread use. • Efficiency cost: In WSNs with limited resources, RSA encryption, which is renowned for its complexity of computation, might result in a large efficiency cost. Keywords: analysis; communications; data; encryption; information; issn; key; keys; memory; networks; rsa; safety; security; systems; vol; wsns
• Enhancing Sensor Network Lifetime through Optimal Path Selection and Cluster Head Optimization using Energy-Aware Routing by P Hemalatha (2025) - Consequently, conserving sensor node energy emerges as the paramount concern for ensuring the extended operation of WSNs [5]. Li= 𝐸𝑛𝑒𝑟𝑔𝑢 𝑅𝑒𝑠𝑒𝑟𝑣𝑒 𝐸𝑛𝑒𝑟𝑔𝑦 𝑐𝑜𝑛𝑠𝑢𝑚𝑝𝑡𝑖𝑜𝑛 (16) 3.2.3 Energy consumption: the entire amount of energy used by network nodes for processing, transmission, and reception combined. Keywords: algorithm; analysis; cluster; data; doi; energy; network; nodes; optimization; path; routing; sensor; vol
• Advanced Analytical Techniques for Optimal Power Extraction in Solar Energy Systems by Itisha Singh (2025) - However, maximizing the efficiency of solar energy systems remains a critical challenge in the pursuit of sustainable energy solutions. No. 9s (2025) 2590 https://internationalpubls.com designed to optimize power extraction in solar energy systems. Keywords: analysis; axis; data; efficiency; energy; mppt; performance; point; power; systems; techniques; time; tracking; vol
• Efficient Image Haze Removal Approach using Optimized Hardware Architecture Design using Parallel Processing by Harish Babu Gade (2025) - The saturation-based hardware method of image dehazing is detailed in [3]. In the process of image dehazing, many arithmetic operations, shifting and sorting operations are needed. Keywords: architecture; data; dehazing; estimation; hardware; haze; image; processing; sale; work
• Choir Management of Sanggar Vox Angelica Manado by Meyny S. C. Kaunang (2025) - No. 9s (2025) 2837 https://internationalpubls.com This research was conducted in Vox Angelica Manado Choir studio located in GMIM Sion Teling Church, Manado City, North Sulawesi Province. The main object of this research is Vox Angelica Manado Choir Studio, especially the performance management of Vox Angelica Manado Choir. Keywords: angelica; angelica manado; choir; data; equipment; factors; manado; management; paduan; production; research; sanggar; team; training; vox; vox angelica
• The Future of Child Welfare: Predictive Analytics Insights by Mahesh Ashok Mahant, P. Vidyullatha (2025) - Keywords: Child Healthcare system, Machine Learning, Decision Tree, MySql, Vaccination. No. 9s (2025) 3096 https://internationalpubls.com There has been limited success in removing inequities in child health effects, and it is tough to implement adult-based remedies to increase child health outcomes, according to the epidemiology of child health. Keywords: analysis; analytics; child; children; data; decision; healthcare; issn; issue; journal; kazi; learning; machine; order; system; trees; vol
• Development of Statistical Models for Assessing Pollutant Transport and Intensity in Local Water Systems by Giang Trung Minh Duc (2025) - Gholami and Booij (2022) exploited ML to estimate GW nitrate concentrations in Iran's Mazandaran Plain. Kontos et al., (2022) employed the finest monitoring systems to perceive sources of GW contamination. Keywords: accuracy; analysis; contamination; data; int; model; pollution
• Machine Learning-Based Data Strategies in Automotive After-Sales Services: Systematic Literature Review by Yuly Kridiawan (2025) - Data-driven strategies and the application of technologies such as machine learning are considered crucial in improving the efficiency and quality of after-sales services. So improving the efficiency and quality of after sales services is regarded as being feasible with data-driven strategies and application of technologies such as machine learning. Keywords: analysis; customer; data; detection; doi; forecasting; industry; learning; machine; machine learning; maintenance; optimization; parts; research; review; sales; sales services; services; strategies; studies; svm; time; vehicle; vol
• Improving User Experience on Satellite Service Applications in Indonesia through Heuristic Walkthroughs and Prototype Development by Irwan Susanto (2025) - Thus, this research not only fills the gap in the literature but also makes a practical contribution in improving user interface design for integrated satellite service applications. Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 63 https://internationalpubls.com Improving User Experience on Satellite Service Applications in Indonesia through Heuristic Walkthroughs and Prototype Development Irwan Susanto 1, Muhammad Eka Purbaya 2*, Nabila Noor Qisthani 3, Nadira Belinda 4, Fahtoni Sigit Kurniawan 5 1,2 Department of Digital Business, Telkom Institute of Technology Purwokerto, Central Java, Indonesia 1,2 Department of Digital Business, Telkom University, Central Java, 3 Department of Supply Chain, Telkom University, Central Java, Indonesia 4 Vocational School, Bogor Agricultural University, West Java, Indonesia 5 Transponder Assurance, Service Operation Unit, PT Telkom Satellite Indonesia 1 irwans@telkomuniversity.ac.id, 2 mekapur@telkomuniversity.ac.id, 3 nabilaqisthani@telkomuniversity.ac.id, 4 ndrbelinda@apps.ipb.ac.id, 5 fahtoni.sigit@telkomsat.co.id Article History: Received: 12-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract: Introduction: The evaluation and optimization of user experience (UX) in high-tech applications, such as satellite service platforms, is of great importance. Keywords: analysis; application; capacity; data; design; evaluation; experience; heuristic; information; management; needs; satellite; system; toms; transponder; usability; user
• A Constructive Use of Generative Artificial Intelligence (AI) in Literature and Education by Shalini Sharma (2025) - New AI tech tools have come into the market to help us out in the field of research and imagination. It reduces our efforts and mental agony which were caused due to work from designing and preparing assignments, but now by using AI tools, we can easily complete our tasks without anyhiccups. Keywords: data; intelligence; language; learning; literature; research; tools; use
• Exploring Mental Health Issues among Primary School Students: A Qualitative Study by Zulaini binti Husin (2025) - Therefore, the study aim is to explore mental health issues among primary school students. The sample selection criteria were primary school students and teachers, educational counselors, and administrators of the Institute of Teacher Education. Keywords: analysis; attention; children; data; health; issues; parents; participants; resilience; school; students; study
• ERP Implementations: Planning, Processing, Budgeting, Training & More by Naveen Mittal, Samir Gopalan (2024) - Which is an unfortunate fact: implementation of ERP systems often fail outright, go over budget or don’t meet the proposed ROI. The cloud has changed ERP implementations. Keywords: business; data; erp; implementation; process; software; system; training
• A Novel Approach for Brain Tumor Classification using Bilateral Filtering and Cascade RF-SVM by Afroz Pasha (2025) - The application of artificial intelligence with machine learning for brain tumor classification serves two purposes: it leads to better patient healthcare experiences and it enables new discoveries in cancer medical practices. Deep learning achieved a revolutionary change in brain tumor classification when it introduced end-to-end learning based on imaged data directly from its original state. Keywords: accuracy; analysis; brain; brain tumor; classification; data; feature; image; issn; lbp; learning; machine; method; model; pixel; svm; texture; tumor; vol
• Learning Spatial and Temporal EEG Patterns for Alzheimer’s Disease Detection with CNN-LSTM Networks by Sharyu Ikhar (2024) - Both designs have their own advantages, but EEG signals inherently display temporal (i.e., signal changes over time) and spatial (i.e., channel interactions) characteristics. Most of the time, these models were taught using custom features made by hand, like spectral power, entropy measures, and wavelet coefficients from EEG signals [5, 6]. Keywords: accuracy; alzheimer; analysis; brain; cnn; data; disease; eeg; features; learning; lstm; model; time
• DEEP SIDE- A Novel Deep Learning Approach to Anticipating Drug Reactions by J.Gladson Maria Britto (2025) - Disadvantages • Data complexity: in order to identify drug side effects, most current machine learning algorithms need to correctly understand big and complicated datasets. Improving patient safety and decreasing adverse medication responses are the goals of DeepSide, a novel deep learning system that attempts to improve the accuracy and efficiency of pharmacological side effect prediction. Keywords: data; drug; layer; learning; medication; networks; prediction
• Landfill Site Selection Using Multi-Criteria Decision Making: Influential Factors for Comparing Landfill Locations by Amir Abbas Zolfaghary, Eghbal Shakeri (2024) - Utilizing a scientific approach to site selection helps minimize secondary pollution, costs, and social issues, such as the “not in my backyard” (NIMBY) syndrome (Cao et al., 2006; Gorsevski et al., 2012). Physical and Environmental Factors- 2.1-1- Groundwater Depth Leachates from landfills pose a long-term threat to groundwater resources, making it essential to establish a buffer zone between the groundwater table and the leachates produced (Chabuk et al., 2016; Gorsevski et al., 2012). Keywords: ahp; alternatives; analysis; criteria; data; decision; distance; et al; factors; gis; landfill; making; mcdm; method; process; selection; site; waste
• Power System Monitoring and Fault Identification using Modified PMU by Ravi Ponnala (2025) - [2], which is used for power system measurements and monitoring. As a result, power system monitoring and measurement also became more complicated. Keywords: analysis; data; fault; monitoring; phasor; power; signal; storage; system; time; vol
• Pricing Influenced by Machine Learning Online Retailers' Optimization for Dynamic Pricing: A Survey by Sandip D. Satav (2025) - • Inventory Management with Dynamic Pricing: Inventory management systems and pricing models will work very closely to provide dynamic pricing based on expected demand and existing stock levels. Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 406 https://internationalpubls.com Pricing Influenced by Machine Learning Online Retailers' Optimization for Dynamic Pricing: A Survey Dr. Sandip D. Satav* , Dr. Shailesh M Hambarde1 , Dr. Poonam D Lambhate2 , Dr. Pratima A Kalyankar3 , Dr. Subhash M Deokar4 , Keywords: algorithms; analysis; data; inventory; learning; machine; machine learning; models; online; pricing; retailers; stock
• RATE-RAD: A Novel Framework for Robust Anomaly Detection in Network Traffic by Integrating Relational, Adversarial, and Temporal Embedding by P Vamsi Naidu (2025) - These studies collectively reinforce the notion that multi-dimensional learning approaches integrating explainability, privacy, adaptability, and scalability will define the next generation of network anomaly detection models. After critically reading and commenting on these twenty-five research papers, several critical advances and innovations in the field can be suggested, making light of the current landscape and challenges in network anomaly detection. Keywords: analysis; anomalies; anomaly; anomaly detection; data; detection; et al; feature; issn; learning; method; model; network; patterns; relational; score; table; traffic
• Investigate Effect of Various Feature Selection Methods for Attack Detection of DOH Traffic by Vaka Padmavathi (2025) - Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 499 https://internationalpubls.com Table 3: Performance Measures for Model-2(B-M) Features # Accuracy Precision Recall F1 ROC AUC 10,15, 0.997 0.998 0.999 0.998 0.987 20,25,30 552 161 199 680 939 16,18, 0.99 0.99 0.999 0.998 0.987 21,22,24 775 814 439 789 995 13,15, 0.997 0.998 0.999 0.998 0.988 16,17,18 737 304 261 782 545 Figure 3: Feature based performance of Model2 Figure: 4 PCA based ROC Curve for two models as Shown in Table 5. The k-NN algorithm's performance is evaluated before and after feature selection to ensure consistency and reliability in detecting malicious DoH connections. Keywords: analysis; data; detection; dns; doh; feature; https; issn; model; performance; selection; traffic; vol
• Depression Analysis and Diagnosis using Machine Learning by Sanchita Pange, Vijaya Pawar (2025) - [12] Support Vector Machine (SVM) (EEG Signals) - - 83.07 On a national and worldwide scale, research indicates that ECG signals have an accuracy of 93.96% and EEG signals have an accuracy of 95.3%. For EEG signals, the most important characteristics are Hjorth activity (HA), standard deviation, entropy, and band power alpha; for ECG signals, the arithmetic mean is important. Keywords: 10s; accuracy; analysis; cnn; communications; data; depression; ecg; eeg; features; issn; lstm; model; signals; svm; system; vol
• De-Duplication of Big Data using Immutable Hashing Algorithms for Wearable Heat-Stroke Detection System by Mohamad Emad Bitar, V. Sujatha (2025) - This paper uses SHA1 with SHA2 hashing algorithms to decode heat stroke data. AES prohibits unauthorized access to critical heat stroke data by transforming sensor data into an unreadable format that can only be read with a key (figure 2). Keywords: algorithms; data; detection; duplication; files; hashing; heat; heat stroke; stroke; system; temperature
• Securing Single Owner Cloud Data using Proposed Enhanced Schmidt-Samoa Cryptosystem by Shivani Namala, Rakesh Kumar Yadav (2025) - The proposed ESS key generation (ESS_Keygen()) algorithm for single owner cloud data is given in algorithm 2, which makes use of four largeprime numbers namely p, q, r, and s. The least common multiplier has been computed as L between (p-1), (q-1), and as M between (r-1), (s-1). Algorithm 2: ESS Key Generation for single owner cloud data ESS_Keygen() Keywords: cloud; data; encryption; ess; key; mod; owner; public; samoa; size; time
• Students’ Readiness in Conducting Research: Basis for an Intervention Plan by Rotsen C. Yodico (2025) - For Future Researchers This study can serve as a foundation for future investigations into student research readiness. This means that without financial means may negatively affect students completion of research study. Keywords: 10s; analysis; challenges; data; issn; mean; paper; readiness; research; students; study; writing
• A Study on Enhanced Elgamal Cryptosystem for Sharing Secret of Multi-User’s by Shivani Namala, Rakesh Kumar Yadav (2025) - The research guides to design effective scheme all types of cloud data. (2021) used Crypt-DICE to improve the security of cloud data. Keywords: cloud; cryptosystem; data; elgamal; encryption; key; mod; multi; security; storage; user; vol
• Machine Learning-Based Predictive Analysis of Car Braking System by Anantharaman Prakash, C.B. Senthil Kumar (2025) - 01-03-2025 Abstract: Predictive maintenance of vehicle braking systems using machine learning approaches is the focus of this research. Yes 59.8% 40.2% 4.2 Feature Importance Feature importance analysis elucidates the impact of various variables on the prediction efficacy of machine learning models. Keywords: analysis; brake; braking; data; learning; machine; maintenance; systems; time; vehicle; vol
• Factors Affecting E-Governance Ecosystem for Capital Market in India by Shivkumar Pandey (2025) - Three statements were included in this factor as Accessing e-governance services are easy to use and convenient, Using e- governance systems allows me to complete my financial tasks efficiently & Adequate technical support is available when I encounter issues with e-governance systems, with factor loading ranging from 837 – 722. 1.00 .632 .540 .894 3.09 1.302 Adhering to cyber security best practices is important for all users of e-governance systems. Keywords: analysis; capital; cyber; data; factor; governance; information; market; security; systems; vol
• Adoption of Smart Technologies in MICE Tourism: Understanding Consumer Challenges and Experience in Delhi NCR by Aviral Saxena (2025) - 2.4 Challenges Faced by Visitors with the Usage of Smart technologies in MICE Events The challenges to visitors using smart technologies in MICE events are very diverse in nature and are usually more about the fast-paced evolution of such technologies and their integration in a complex event ecosystem. Technical glitches with smart technologies .737 Language barriers in smart technology use .569 Lack of staff training on smart technologies -- -- -- Extraction Method: Principal Component Analysis. Keywords: analysis; challenges; consumer; data; delhi; factor; management; mice; mice events; mice tourism; ncr; technologies; technology; tourism; type
• Comprehensive Overview of Sentimental Analysis by Utilizing Machine Learning Techniques by Puneet Kumar (2025) - Background: Sentiment analysis has emerged as a critical domain in natural language processing. In the business context, sentiment analysis has become crucial as companies strive to understand their customers better in an increasingly customer-centric marketplace (Chagas et al. 2018). Keywords: analysis; approaches; classification; data; issn; learning; machine; network; research; review; sentiment; sentiment analysis; studies; text; vol
• A Systematic Review on the Prediction of Hurricanes by Utilizing Machine Learning Techniques by Isha Malik (2025) - Objective: To conduct a comprehensive systematic review of artificial intelligence (AI) techniques for hurricane prediction, analysing the current state of technological innovations, methodological approaches, and predictive capabilities in meteorological forecasting. Conclusion: Artificial intelligence techniques demonstrate transformative potential in hurricane prediction, offering unprecedented accuracy and insights. Keywords: analysis; data; forecasting; hurricane; intensity; learning; machine; models; networks; prediction; techniques
• A Comprehensive Overview of Machine Learning Techniques in Predicting Mental Stress by Amanpreet Kaur (2025) - As highlighted, the exploration of soft biometrics offers a complementary approach in understanding characteristics such as emotional states, which can further enrich predictive models, thereby underscoring the vital role of mental stress prediction in fostering overall well-being(Tahan and Saleem, 2023) (Putri, 2023)Despite significant technological advancements, researchers continue to grapple with critical challenges in mental stress detection. 05-02-2025 Abstract: Mental stress has become a pervasive global health challenge with significant physiological and psychological implications. Keywords: algorithms; data; health; learning; machine; stress; techniques
• Overcoming Obstacles in Forensic Accounting Investigations: Identifying Key Challenges and Proposing Solutions by Gagandeep Kaur (2025) - It will also propose practical solutions and strategies to help forensic accountants overcome these obstacles, making their work more effective. By tackling these challenges head-on, this research aims to support the important work of forensic accountants in protecting financial integrity and ensuring justice. Keywords: accountants; accounting; analysis; challenges; data; financial; fraud; india; investigations; journal; study; techniques
• Human Rights in a World of Surveillance: Managing Privacy and Security Concerns by Dev Parbhakar (2025) - Individual privacy rights are seriously threatened by the vast amounts of data that surveillance technologies enable to be collected, including communication logs, behavioral patterns, and personal information. Determining where to draw the line between essential intrusion for security reasons and the violation of individual privacy rights is the challenge. Keywords: data; monitoring; privacy; rights; security; surveillance; technologies
• Right to be Forgotten: Navigating the Right to Privacy and Regulations in Digital India by Raminder Singh (2025) - By navigating the complex interplay between privacy rights and public interest, RTBF can become a robust mechanism for safeguarding digital privacy in India. In favour of, free speech and expression over privacy rights in context to the Right to be Forgotten, the American Legal System have its own long Judicial Journey since 1931 i.e. Melvin v Reid. Keywords: court; data; digital; google; india; information; online; privacy; protection; public; right; rtbf
• Enhancing Fraud Detection in Portable Wallet Payment Systems using Machine Learning: A Hybrid Approach by Gurleen Kaur (2025) - Integration Challenges Difficulties in integrating fraud detection models with current payment systems, which may require substantial changes to existing infrastructure. Future work should focus on developing explainable AI techniques for complex fraud detection models. Keywords: analysis; data; detection; fraud; hybrid; learning; machine; model; payment; performance; systems; transactions
• Enhancing Fraud Detection in Portable Wallet Payment Systems using Machine Learning: A Hybrid Approach by Gurleen Kaur (2025) - Integration Challenges Difficulties in integrating fraud detection models with current payment systems, which may require substantial changes to existing infrastructure. Future work should focus on developing explainable AI techniques for complex fraud detection models. Keywords: analysis; data; detection; fraud; fraud detection; hybrid; learning; machine; model; payment; systems; transactions
• Deep Learning and Natural Language Processing Techniques for Depression Detection in Social Media Texts: A Comprehensive Review by Neelam Kumari (2025) - No. ICMASD (2025) 1388 https://internationalpubls.com Deep Learning and Natural Language Processing Techniques for Depression Detection in Social Media Texts: A Comprehensive Review Neelam Kumari1, Jagdeep Kaur2 1Research Scholar, Sant Baba Bhag Singh University, Jalandhar, India 2Professor, CSE, Sant Baba Bhag Singh University, Jalandhar, India ndidhra1403@gmail.com, universitysbbsuuiet@gmail.com Article History: Received: 12-12-2024 Revised: 25-01-2025 Accepted: 05-02-2025 Abstract: With the increased prevalence of social media, depression is becoming a prominent health issue worldwide and it has opened new opportunities for researchers to explore new techniques for depression detection in social media texts. This review provides a thorough examination of these techniques for depression detection in posts of users. Keywords: analysis; data; depression; depression detection; detection; et al; learning; lstm; machine; media; mental; models; nlp; review; studies; techniques
• To Study the Influence of Web Atmospherics on Customer Purchasing Behaviour with Respect to Fashion Websites by Gagandeep Kaur (2025) - the explanation of various factors emerged from factor solution relating to web atmospherics factors is given below. the explanation of various factors emerged from factor solution relating to web atmospherics factors is given below. Keywords: analysis; atmospherics; behaviour; customer; data; factor; fashion; model; online; purchase; study; value; website
• Nonlinear Analysis and Topological Approaches towards a Deep Intelligent Framework for Privacy Assurance of Autonomous IoT Systems by S. Chandra Sekaran (2024) - However, this innovation comes hand in hand with heightened concerns regarding data privacy. Nonetheless, the considerable capacity of their data collection and processing systems gives rise to notable apprehensions over the protection of data privacy [2]. Keywords: analysis; data; differential; encryption; internet; iot; method; privacy; systems
• Network Attack Detection with LSTM-Based Model by S. Ravi Kiran (2025) - Since the beginning of the Internet, there have been network attacks. The use of ML and deep learning to detect and stop network attacks has shown encouraging results. Keywords: analysis; attacks; data; ddos; detection; learning; lstm; model; network; vol
• Churn Predictions using NLP and ML by Monika Rokade (2025) - From the large amount of customer data that is available, you need to pick out the right predictor variables. I. INTRODUCTION Recent research has shown that data mining approaches are superior at forecasting client turnover. Keywords: analysis; churn; data; learning; prediction; system
• Context-Based Emotion Recognition using the EMOTIC Dataset by Arvind Laxman Kedar (2025) - This paper explores a context- based approach to emotion recognition using the EMOTIC dataset, which includes images labelled with both apparent emotion and contextual information. The proposed model achieves significant improvements over baseline methods, demonstrating the importance of context in emotion recognition. Keywords: data; eeg; emotion; features; learning; music; system
• Accelerometer-Based Motion Recognition and Alerting System for Abnormal Activity Detection in Dynamic Environments by Mayur Sambhaji Nanekar (2025) - Moreover, by embedding anomaly detection models into microcontrollers, systems can autonomously monitor their operational health, detect deviations in real time, and alert users instantly. This paper presents the design and implementation of a real-time activity recognition and abnormal motion detection system using accelerometer data and edge- based machine learning, specifically optimized through TinyML techniques. Keywords: activity; anomaly; data; detection; iot; learning; machine; model; system; time; tinyml
• Evaluating and Forecasting Student Academic Performance through Educational Data Mining using Deep Learning by Andhale Rajendra (2025) - This paper emphasizes the critical role of utilizing student data in improving education planning. This study specifically examines the application of classification techniques to organise and analyse critical aspects of student data. Keywords: analysis; data; learning; machine; mining; performance; student; techniques
• Heart Disease Prediction using a Hybrid Machine Learning Model by Shital Sunil Raut (2025) - Routine examinations and assessments, along with adherence to a nutritious diet, may partly mitigate the risk of heart disease. The database uses specific techniques to identify heart disease, but it does not approve other functions. Keywords: data; disease; heart; issn; learning; machine; system
• A Two Fold Machine Learning Approach to Prevent and Detect IoT Botnet Attacks by Usha Ravsaheb Dongare (2025) - To address this, intrusion detection systems (IDSs) are vital for minimizing the adverse effects of these attacks. Furthermore, numerous studies of intrusion detection systems have been conducted using old datasets such as the Kddcup'99 dataset. Keywords: data; detection; intrusion; learning; machine; model; network; system
• Design of Software Reliability Prediction using Radial Basis Function Networks with Nonlinear Analysis and Topological Considerations by R. Josphineleela (2024) - Keywords: Radial Basis Function Networks, software reliability prediction, software quality, machine learning, predictive modeling Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 2 (2024) 108 https://internationalpubls.com 1. Introduction Software reliability is a pivotal concern in contemporary software development, given its direct impact on user satisfaction, business profitability, and organizational reputation. In the conducted experiments over ten datasets, we evaluated the performance of the proposed method for software reliability prediction using RBFNs and compared it with the existing methods. Keywords: analysis; basis; data; engineering; function; method; prediction; reliability; software; study
• Enhancing Agricultural Price Forecasting using Ensemble Models and Optimized Feature Selection Techniques by D. Lawanya, N. Muthumani (2025) - [22] Mohanty, M.K., Thakurta, P.K.G. & Kar, S. Agricultural commodity price prediction model: a machine learning framework. This study proposes an advanced approach that integrates feature selection techniques with ensemble learning to improve agricultural commodity price predictions. Keywords: accuracy; algorithm; analysis; catboost; commodity; data; ensemble; feature; forecasting; learning; model; performance; price; selection
• Modelling and Optimization of FIS-Based Machine Learning Framework for Nonlinear Detection and Mitigation of Application Layer DDoS Attacks with QoS Enhancement by Kiran M. Salunke, Suresh Kurumbanshi (2025) - Shield techniques for application layer DDoS attack in MANET: a methodological review. Typical methods such as rate limiting, traffic filtering, and signature-based detection have been used quite a bit to address DDoS attacks. Keywords: 10s; accuracy; analysis; application; attack; communications; data; ddos; detection; feature; issn; layer; learning; mitigation; model; network; qos; traffic
• A Scalable and Interactive E-Learning Platform for Students using PHP and MySQL by Kavita Kumavat (2025) - Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 1424 https://internationalpubls.com A Scalable and Interactive E-Learning Platform for Students using PHP and MySQL Kavita Kumavat1, Aarti Sardhara2, Vishakha Salunkhe3, Mayuri Satpute4, Hitesh Boldra5, and Kamlesh Choudhary6 1,2,3,4 Assistant Professor, Vishwakarma University, Pune 5,6 Student, Vishwakarma University, Pune Article History: Received: 12-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract: The education system underwent a transformation because E-Learning platforms established a dynamic environment which makes education accessible to students. This document presents benefits of E-Learning platforms which include open access to education together with economical solutions and customized learning plans. Keywords: data; database; education; figure; journal; learning; mysql; platform; students; systems; technology; user; vol
• Implementation of Fast, Power and Energy Efficient CMOS Flip-Flops in 45 Nm Regime by S. Govindarajulu (2025) - Keywords: Asynchronous Reset, CMOS technology, dual edge triggering,Energy efficiency, flip flops, low power, Power Delay Product (PDP), Single-Phase Clocked (SPC). [7] C.K.Teh, M.Hamada, T.Fujita, H.Hara, N.Ikumi and Y.oowaki, “Conditional data mapping flip-flops for low power and high performance systems,” IEEE Trans. Keywords: clock; data; design; flip; flop; output; phase; power; transistor
• Federated Learning-Based Privacy-Preserving Framework for Distributed IoT Networks by Naveen Kumar Tuli (2025) - Since IoT devices often handle sensitive information, such as health data, location data, or personal preferences, ensuring data privacy is crucial to prevent unauthorized access and data breaches. This approach not only ensures data privacy but also reduces communication overhead by limiting the data exchange to model updates rather than raw data. Keywords: communication; data; framework; iot; learning; model; privacy
• IoT and Machine Learning-Driven Predictive Maintenance for Enhanced Supply Chain Performance by P Balaji Prasad (2025) - Furthermore, predictive maintenance data can be linked with ERP systems to automate procurement of spare parts and update maintenance schedules. The results affirm that predictive maintenance, empowered by IoT and ML, can significantly enhance asset reliability, reduce operational costs, and increase supply chain resilience. Keywords: analysis; chain; data; equipment; iot; learning; machine; maintenance; supply; systems; time
• Machine Learning based Security for IoT Networks by Ajay Soni, Zubair Ahmed Khan (2025) - Deep recurrent neural network for IoT intrusion detection system. By advancing the state-of-the-art in IoT intrusion detection, this research contributes to the growing body of knowledge on securing IoT networks and provides a foundation for future efforts aimed at developing more adaptive, intelligent, and efficient cybersecurity solutions for the IoT ecosystem. Keywords: classification; data; detection; feature; igwo; intrusion; iot; model; networks; performance; selection
• Deep Learning-Based Crop Disease Detection using IoT and Image Processing by Khilendra Tumareki (2025) - The model achieved an impressive accuracy of 99.34%, which indicates the robustness and reliability of the deep learning-based approach for crop disease classification. This paper outlines the methodology for crop disease detection, explains the deep learning models and techniques employed, and discusses the experimental results obtained from the proposed system. Keywords: attention; classification; crop; data; disease; features; iot; learning; model; vol
• AI-ML based Expense Categorization and Budgeting System for Personalized Financial Management by Rajshree Jadhav, G. A. Patil (2025) - The researchers use advanced deep learning techniques such as convolutional neural networks (CNNs) and autoencoders to identify anomalies in financial data. The study analyzes stock market datasets with a consideration of financial data, historical prices, and sectoral interdependencies to refine stock selection methods. Keywords: accuracy; analysis; classification; data; finance; financial; learning; machine; management; models; research; results; study; systems; techniques
• Athreat Modeling Framework for LLM System Integration Leveraging NLP and Machine Learning by Basavraj Gadade, G. A. Patil (2025) - Even with the progress made towards Automated Threat Modeling for LLM system security, there are still some challenges left for researchers to tackle. The results confirm that automated threat modeling significantly improves LLM system security by enhancing threat detection, dynamic risk assessment, and real-time mitigation. Keywords: analysis; assessment; attacks; data; detection; learning; llm; modeling; risk; security; systems; threat
• Application of Artificial Neural Technique for Performance Prediction of Bacterial based Concrete by Kenchappa Dudhal (2025) - ANN applications to bacterial concrete performance prediction combine materials science, microbiology, civil engineering, and computer science. Scope Artificial neural network models for bacterial concrete performance prediction are developed, trained, validated, and applied in this work. Keywords: 10s; activation; analysis; calcium; cement; chittaranjan; communications; concrete; crack; data; durability; efficiency; healing; input; issn; layer; materials; models; nayak; network; output; performance; prediction; research; strength; training; water
• Statistical Inference in Machine Learning Bridging Probability and Data Science by S. Balamuralitharan (2024) - In 2021 A. Spanos et.al., [3] suggested the existing literature tends to focus on the importance of the statistical inference to help in improving machine learning models through the structured approach to the uncertainty quantification, parameter estimation and model validation. The combination of statistical inference with machine learning models improves the assessment as well as validation process. Keywords: bayesian; data; inference; learning; machine; methods; model; uncertainty; vol
• Enhanced Machine Learning-Assisted Convolutional Neural Network for Heart Disease Prediction by Rajani Alugonda, Satya Prasad Kodati (2025) - thal (Thalassemia Type) – ➢ 1: Normal ➢ 2: Fixed defect (blood flow issue) ➢ 3: Reversible defect (temporary blood flow issue) 15. target (Heart Disease Presence) – ➢ 1: Heart disease present ➢ 0: No heart disease Possible Uses of the Dataset: • Predicting heart disease using machine learning models. Traditional AI models such as Artificial Neural Networks (ANN), Deep Neural Networks (DNN), and Recurrent Neural Networks (RNN) have been used for heart disease prediction, but they often struggle with overfitting, high computational costs, and suboptimal performance in real-time applications. Keywords: 10s; accuracy; analysis; analysis issn; avg; communications; data; disease; feature; fig; heart; heart disease; issn; learning; prediction; score; vol
• Smart Road Sensing Techniques (SRST) for Real Time Monitoring and Maintenance (RTMM) by Nazya Parveen, Swati Agrawal (2025) - This methodology ensures a realistic, data-driven approach to addressing road maintenance challenges in Bilaspur. • Data Volume: Over 10 GB of road condition data was generated monthly, covering surface quality, traffic density, and weather impacts, enabling comprehensive monitoring of high-traffic areas. Keywords: analysis; bilaspur; data; maintenance; monitoring; road; sensors; traffic
• Augmenting the Predictive Precision of Air Quality Index Estimation via Synergistic Integration of Machine Learning Paradigms and Optimization Heuristics by N. Ravi, K. Azhahudurai (2025) - In this study, we focus on improving the accuracy of AQI prediction by combining machine learning models with optimization techniques. They applied different data mining techniques along with machine learning models to understand climate patterns. Keywords: air; aqi; data; learning; machine; models; optimization; prediction; step; vol
• Intrusion Detection in Wireless Sensor Networks using SMOTE Tomek Link sampling technique by Gurpreet Kaur, Kamal Malik (2025) - 5 Conclusion In conclusion, proposed intrusion detection model, combining machine learning techniques with the SMOTE-TomekLink resampling method effectively balanced imbalanced WSN dataset. A dependable hybrid machine learning model for network intrusion detection. Keywords: accuracy; data; dataset; detection; intrusion; learning; machine; model; networks; sensor; wsns
• Voice Conversion using Hybrid CNN BiLSTM-WaveNet Deep Learning Models by A. Bala Raju, S. P Singh, Dhiraj Sunehra (2025) - balaraju_ap@yahoo.co.in1, spsingh@mgit.ac.in2, dhirajsunehra@yahoo.co.in3 Article History: Received: 12-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract: Voice conversion is an exciting area of speech processing in which deep learning approaches are developed that can modify the vocal qualities of an speaker to resemble the voice of another person without altering the context of the utterance. Keywords: Voice Conversion, Deep Learning, Speech Processing, Speech to Text, Bidirectional LSTM, WaveNet Vocoder Introduction: Voice conversion is a domain of speech processing, and it is fascinating to interact by observing how the special human speech ability specifies in words is first converted into a different form that maintains the semantic bearing of what the original voice has spoken [1]. Keywords: audio; conversion; data; decoder; learning; mel; model; output; spectrogram; speech; text; training; voice; voice conversion
• Optimized Deep Learning System for Criminal Activity Detection using Facial Recognition, Video Surveillance, and Weapon Detection by Pranita Sanjay Waikar, Waseem Ahmad Mir (2025) - Yassine Himeur et al.[8] gives an account on the application of deep transfer learning (DTL) and deep domain adaptation (DDA) for video surveillance systems. This review also shows DTL and DDA as intelligent tools for video surveillance systems. Keywords: 10s; accuracy; analysis; crime; criminal; data; detection; et al; issn; learning; model; networks; recognition; security; surveillance; system; time; video; vol; weapon
• Projection of the Fertility at Madhesh Province, Nepal by Bijaya Mani Devkota (2025) - Properly distributed with reliable parameters, fertility data could be sought for analyses of population projections and provide policy input on family planning, resource allocation, and demographic transitions. The study consensuses considerable variation in changing fertility rates among various subgroups while emphasizing the critical impact of socio-economic and demographic factors. Keywords: age; analysis; census; data; estimation; fertility; madhesh; nepal; population; province; study; tfr
• An Analytics of Sleep Apnea Classification using Caswideresnet Algorithm by N. Juber Rahman (2024) - Table 1: Comparison table for sleep apnea prediction methods Author Year Methodology Advantage Limitation Alimardani, M., & de Moor, G. 2021 SVM The advantage of this study lies in its use of EEG signals to not only detect apnea episodes but also classify their severity and types accurately. Deep learning of facial depth maps for obstructive sleep apnea Prediction. Keywords: accuracy; algorithm; analysis; apnea; caswideresnet; classification; data; prediction; score; signal; sleep; sleep apnea; vol
• HAMTR: A Hybrid Authentication and Multi-Dimensional Trust-Based Routing Model for Secure Wireless Sensor Networks by Jatin Gupta, Vishal Goyal (2025) - Trust models often lack robustness against WSN-specific attacks such as on-the-fly key exposure, collusion, and node capture No standardized evaluation metrics or datasets comparative studies reveal inconsistent methods for evaluating trust models, making it hard to validate or benchmark new designs under common threat models and scenarios [3], [12], [17]. Keywords: data; networks; nodes; reputation; routing; security; sensor; trust; wireless
• Secure PSO based Energy Optimization Scheme using WSN for IoT Application by Divya Srivastava, Nitin Jain, Manish Kumar (2024) - End-to-end delay, a crucial metric, is particularly important for handling real-time traffic and ensuring that data packets are transmitted within the required time frame. The integrated implementation of MLRP- HTEEN-UDSP minimizes end-to-end delay for data packets and lowers energy usage at sensor nodes 0 10 20 30 40 50 60 70 80 CCBRP LEACH NCBPR PEGASIS ETLHCM HHCA D at a St o ra ge C ap ac it y (k B ) Network Protocol Network Size 50 Network Size 75 Network Size 100 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 Keywords: analysis; cluster; data; energy; iot; key; network; node; number; packet; protocol; routing; sensor; size
• Web based IoT System for Monitoring and Visualizing Qualitative and Quantitative Data of River by Mohini Ramdas Thite, Saniya Ansari (2024) - [8] S. Roy et al., Integration of SCADA and IoT for river water quality monitoring and control, J. Clean. Abstract: Rapid urbanization, industrial effluents, agricultural runoff, and climate variability have increasingly degraded river water quality and disrupted natural flow patterns. Keywords: data; iot; monitoring; quality; river; system; time; vol; water
• A Predictive Analytics-Powered Smart Healthcare Monitoring System to Improve Patient Care by Niteen Babanrao Dhule, Pankaj Agarkar (2025) - In response, smart healthcare monitoring systems powered by the Internet of Things (IoT) and advanced sensor technologies offer a promising solution. Advanced sensor technology and the Internet of Things (IoT) are used by smart healthcare monitoring systems to allow for continuing, real-time monitoring of a patient's vital signs and health parameters. Keywords: analytics; data; fig; health; healthcare; iot; learning; monitoring; patient; system; time
• Geographic Greedy Perimeter and Energy-Aware Routing (Ggpear) in Wireless Sensor Networks by J. Gnana Mano Sheebha, D. Maheswari (2025) - GGPEAR is an energy aware protocol that aims to balance the network energy consumption by selecting high energy nodes first for participation and prevents the nodes from energy starvation before time. Correlation Distance- Based Greedy Perimeter Stateless Routing Reduce energy consumption and enhance routing reliability Flat WSN with perimeter routing Correlation-based energy efficiency and perimeter routing Yan & Qi (2021) CARA: Congestion- Aware Routing Algorithm Minimize congestion and energy consumption Flat WSN Focus on congestion management along with energy awareness Zagrouba & Kardi (2021) Comparative Study of Energy-Efficient Routing Techniques Comparison of different energy- efficient protocols Various WSN structures (Flat, Clustered, etc.) Comprehensive comparison across various WSN routing strategies Yue (2024) EEUC-based Inter- Aircraft Ultraviolet Communication Algorithm Optimizes energy consumption in UAVs Inter-aircraft communication in drone swarms Energy optimization in drone networks 2.1 Problem identification The problem that needs to be solved in energy efficient routing for Wireless Sensor Networks (WSNs) is to balance the energy consumption and the demands of reliable and efficient data transmission. Keywords: analysis; consumption; data; destination; energy; ggpear; network; node; perimeter; routing; sensor; vol; wsns; 𝐸𝑛𝑜𝑑𝑒; 𝑁𝑐𝑢𝑟𝑟𝑒𝑛𝑡
• Automation for Sustainable Recycling in Smart City: Machine Learning-Driven Smart Waste Management System by Pamula Raja Kumari (2025) - This research introduces an ML-powered smart waste management system that leverages sensor-based automation and machine learning to enhance waste classification and bin-level monitoring Objectives: Developing an ML-powered smart waste management system that leverages machine learning and sensor-based automation to efficiently classify and monitor waste. The figure indicates that wet waste has the highest moisture content, whereas dry and recyclable waste display lower moisture levels, emphasizing the model's dependence on moisture sensors for waste classification while also revealing potential misclassification issues due to overlapping moisture values across waste types. Keywords: classification; data; learning; management; sensor; smart; system; time; waste
• Underwater Communication Network Optimization by Clustering Nodes and Predicting Sensing Data by Arjun Rajput, Divyarth Rai (2025) - The research in [8] investigates trajectory optimization in underwater data networks using mobile nodes. Ayaz, M., Ammad-Uddin, M., Sharif, Z., Hijji, M. & Mansour, A. A hybrid data collection scheme to achieve load balancing for underwater sensor networks. Keywords: algorithm; cluster; communication; data; energy; model; network; nodes; sensor; underwater; vol
• AI Assisted Quora Question Pair Similarity Evaluation Using Binary Classification by J Vijayashree (2025) - It tries to predict if question pairs are duplicates or unique­ questions. Our model should be capable of recognizing semantic similarity between question pairs with similar words but diverse meanings, as well as identifying semantic equivalence between question pairs with different words but the same meaning. Keywords: analysis; authors; data; information; issn; model; network; pairs; question; quora; similarity; study; vellore; vol; word
• Comprehensive Cancer Analysis: CNN-Based Classification of Malignant vs. Benign Tumors with Staging Insights by Gauri Sharma (2025) - The authors emphasized the importance of advanced data augmentation techniques in enhancing model performance. • Figure 3: Confusion matrix for the test dataset, depicting model performance across all classes. Keywords: accuracy; analysis; cancer; cnn; data; detection; figure; learning; malignant; model; performance
• Governance Mechanisms for Inclusive Growth: A Multidisciplinary Approach to Equity and Sustainability by Rashid Hashmi (2025) - According to the International Fund for Agricultural Development (IFAD, 2021), sustainable rural governance hence calls for a locally acceptable governance structure through community leadership with indigenous knowledge in the formulation of solutions. Inclusive, sustainable governance development cannot be fully accomplished without the community's cooperation. Keywords: analysis; areas; cities; climate; community; data; development; equity; global; governance; inclusive; reduction; sanitation; sustainability; systems; urban
• Transforming Skill Assessment: Integrating Advanced Technologies for Inclusive Skill Development and Sustainable Progress in Physical Education and Sports by Suresh Kumar (2025) - Addressing these barriers is essential for ensuring that all students and athletes can benefit from digital skill assessment technologies. Ethical concerns in digital skill assessments: Privacy and biometric data usage. Keywords: assessment; data; education; learning; performance; skill; sports; technologies
• Artificial Intelligence and Machine Learning for Sustainable Development: Legal Perspectives on Innovation and Regulation by Suveer Dubey (2025) - The book underscores the need for robust legal regulations to ensure AI technologies are deployed in ways that align with sustainable development goals. Emphasizing the need for international collaboration, the paper advocates for laws that ensure AI technologies contribute to sustainable development while addressing ethical concerns, such as bias and accountability. Keywords: challenges; data; development; frameworks; intelligence; learning; machine; privacy; systems; technologies
• A Comprehensive Evaluation of Deep Learning Architectures and Traditional Machine Learning Algorithms for Prognostic Modeling in Alzheimer’s disease by R. Arumugam, A. Murugan (2025) - On the other hand, deep learning models such as deep neural networks (DNNs) can automatically learn useful patterns from data, and when trained properly, they often give better results. This study compares both traditional ML and deep learning models for predicting Alzheimer’s Disease using the OASIS cross-sectional dataset. Keywords: alzheimer; data; dataset; disease; learning; machine; models; vol
• Neutrosophic Credibility Bounds of the Xexponential Distribution by Naim Boudjelida (2025) - Keywords: Neutrosophic logic, Credibility theory, Xexponential distribution, Interval estimation, Imprecise data, Actuarial science, Uncertainty modeling 1. 6.4 Model Fitting: Xexponential Distribution We fit the Xexponential distribution to the observed data using Maximum Likelihood Estimation (MLE). Keywords: credibility; data; distribution; neutrosophic; uncertainty; xexponential
• Design and Analysis of JIC Algorithm on Big Data by Ilamchezhian J (2025) - Among the seven V's of big data, 'Volume' is the most challenging for frequent itemset mining. In view of this and in order to improve performance in frequent itemset mining, the pre- processed file is further partitioned into three Partitions based on the number of items present in each transaction. Keywords: algorithm; apriori; cgpln; data; database; execution; frequent; itemset; jic; memory; mining; support; time; vol; 𝐶𝐺𝑃𝐿𝑁; 𝐿𝑎𝑏𝑒𝑙𝑗
• Optimised Clustering Technique Based Chimpanzee Behaviour and Fittest Clusterhead Routing Technique for Lifetime Enhancement of Wireless Sensor Networks by R.K.Krishna, Hemlata W.Kohad, P Sangeetha (2025) - (6) where m is a cluster's total number of sensor nodes. Out of these nodes, two are set aside to perform as cluster heads, and the other nodes gather and dispatch the statistics to the cluster heads. Keywords: analysis; cluster; clustering; communications; data; energy; head; issn; networks; nodes; optimization; routing; sensor; vol
• Ml-Powered Claims Triage: Using Uipath Ai Centre for Intelligent Work Distribution by Praneetha Kotla (2025) - B. Automate the classification and prioritization of insurance claims “The UiPath AI Centre” keeps AI models seamlessly integrated into RPA workflows. Solving the problem of classifying and prioritising insurance claims is done by automating the process using ML-powered claims triage integrated with the UiPath AI Centre. Keywords: analysis; automation; centre; claims; data; insurance; processing; research; rpa; uipath
• Investigations on Application of Probabilistic and Mathematical Computing in Design and Statistical Analysis of Lightweight Cryptography by Bhawna Garg (2024) - Creating lightweight cryptography for IoT security involves the use of various mathematical tools, including permutation and combination, to develop efficient cryptographic algorithms suitable for devices with limited computational resources.[11] Basic permutation equation: 𝑃(𝑛, 𝑘) = 𝑛! (𝑛 − 𝑘) Combination formula: Creating a cryptographic algorithm for IoT security involves understanding various mathematical principles and their application in the realm of cryptography. Keywords: algorithm; analysis; data; devices; encryption; image; internet; iot; key; security; vol
• Harnessing Deep Learning for Precision Diagnosis of Pancreatic Cancer by Pathapaty Dinshi, PVRD Prasada Rao (2025) - We verify the performance of 6 various machine learning and deep learning techniques for pancreatic cancer detection. This project seeks to transform pancreatic cancer detection by incorporating deep learning methodologies, upgrading medical technology, and improving patient outcomes through more accurate and timely therapies. Keywords: analysis; cancer; data; detection; diagnosis; image; issn; learning; machine; model; pancreatic
• Multi Disease Diagnostic Analysis for Chest X-Ray Images with Explainable AI by Priyadharsini R (2025) - [XAI] enhances the transparency and interpretability of AI models These techniques made model predictions more transparent and understandable, crucial for medical applications where trust and accuracy are paramount. Keywords: chest; data; deep; learning; lime; model; predictions; xai
• Integration of Complex Mathematical Approaches and Statistical Methodologies in Machine Learning for Design of Robust Prediction Models by Sarita Silaich (2024) - Performance metrics derived from statistical analysis, such as the AUC of the ROC curve, are indispensable for evaluating the effectiveness of breast cancer prediction models. By incorporating OR algorithms such as linear programming, decision trees, and network flows, machine learning models can be refined to handle specific complexities of breast cancer data more effectively. Keywords: accuracy; analysis; breast; breast cancer; cancer; data; features; gwo; issn; learning; machine; optimization; precision; pso; ratio; testing; training; vol
• Integration of Mathematical Operators Based on Decision Boundary Complexity and Combinatorial Optimization for Improved Deep Learning Classifiers by Shruti Thapar (2024) - This equation is used in the knapsack problem, a common problem in combinatorial optimization, where 𝑉(𝑖, 𝑤) is the maximum value that can be achieved with the first 𝑖 items and a weight limit 𝑤. These equations collectively illustrate the mathematical and computational complexity involved in designing and optimizing deep learning models, particularly when dealing with sophisticated classifiers and large datasets. Deep Learning Models The project utilizes several advanced deep learning models, adapting their architecture through the process of transfer learning to meet the specific requirements of cattle disease detection. Keywords: accuracy; analysis; cattle; classification; communications; data; dataset; detection; disease; issn; learning; model; networks; skin; training; vol
• A Data-Driven AI Methodology for Macroeconomic Assessment and Gold Price Forecasting by Mohammed Mubashshir Alam (2025) - The analysis also highlights an emerging research focus on forecasting gold prices, supported by frequent keywords like “gold,” “financial markets,” “gold prices,” “forecasting,” and “commerce.” No. 3s (2025) 773 https://internationalpubls.com Key Observations: • Rising Trend (2008–2011): A sharp increase in gold prices, peaking around 2011– 2012, often linked to global economic uncertainty and financial crises. Keywords: analysis; data; forecasting; gold; investor; learning; market; models; price
• Cognitive Emotion Dissection Framework: Sentiment Inference via Large Language Models by Nimrah Parveen, (2025) - However, the emergence of advanced large language models (LLMs) like GPT-4 has revolutionized sentiment analysis by capturing more nuanced emotional expressions. Key words: Sentiment analysis, Visualization, Analytical models, Codes, Large language models, Commonsense reasoning 1. INTRODUCTION Sentiment analysis, a crucial aspect of natural language processing (NLP), involves classifying textual data into categories such as positive, negative, or neutral sentiments[1]. Keywords: accuracy; analysis; customer; data; emotion; gpt-4; language; models; sentiment
• Deep Learning-Driven Prognostic Modeling for Alzheimer’s Disease Identification by Awais Ahmed, Rizwan Uz Zaman, MD Asma (2025) - [Google Scholar] 4. Chitradevi & Prabha (2020).Chitradevi D, Prabha S. Analysis of brain sub regions using optimization techniques and deep learning method in Alzheimer disease. Classification of Alzheimer’s Disease Utilizing CNN with Trade Learning and Weighted Incident Oktavian M.W., Yudistira N., Ridok A. (2022) Keywords: alzheimer; analysis; classification; data; dementia; disease; doi; learning; notice; validation
• Intelligent Anomaly Detection in Financial Transactions Using Machine Learning Paradigms by Amer Khan, T.K. Shaik Shavali, Syed Raziuddin (2025) - [3] H. Feng, ‘‘Ensemble learning in credit card fraud detection using boosting methods,’’ in Proc. 2nd Int. [6] K. Randhawa, C. K. Loo, M. Seera, C. P. Lim, and A. K. Nandi, ‘‘Credit card fraud detection using AdaBoost and majority voting,’’ IEEE Access, vol. 6, pp. Keywords: card; credit; data; detection; fraud; learning; machine; models; vol
• Robust and Confidential Multi-Tenant Keyword Retrieval in Cloud Storage by Mohammed Saif Ahmed (2025) - No. 3s (2025) 816 https://internationalpubls.com frameworks, enabling secure keyword queries without leaking confidential information  to obfuscate search and access patterns further reduce leakage risks and bolster overall security .Cutting-edge cryptographic tools—such as attribute-based encryption (ABE), homomorphic encryption (HE), function secret sharing (FSS), and secure multi-party computation (MPC)—serve as the cornerstone of secure encrypted search systems . Abstract The project addresses the critical security challenges of cloud storage by introducing a secure and efficient mechanism for keyword search over encrypted data, preserving user privacy without sacrificing retrieval performance. Keywords: cloud; data; encryption; keyword; search; storage; vol
• An Adaptive Diet Optimization System Driven by AI Models and Preference-Aware Personalization by Fasee Ur Rehman (2025) - No. 3s (2025) 825 https://internationalpubls.com of personalized dietary plans that evolve over time, improving the effectiveness of nutrition strategies. Additionally, AI frameworks improve client engagement by giving real-time input and adjusting to changing wellbeing conditions. Keywords: data; diet; information; meal; nutrition; planning; plans; system; user
• A Deep Dive into Blockchain Applications, Security Enhancements and Challenges by Sahar Ali Laskar (2024) - Hashing is crucial for the security of blockchain systems and offers the following properties: i. Pre-image resistance: Hashing technique is unidirectional. Blockchain technology is used in transaction of Bitcoin. Keywords: analysis; applications; bitcoin; blockchain; communications; data; information; issn; key; mining; privacy; research; security; systems; technology; transaction; vol
• Comparing Machine Learning Algorithms: A Graph Theory Approach for Improving Accuracy by G. Keerthi (2024) - Disease prediction using graph machine learning based on electronic health data. Traditional machine learning models often treat data as independent entities, missing crucial structural information. Keywords: accuracy; classification; data; gat; graph; graphsage; learning; models; networks
• Improving Electricity Theft Detection with a Stacked Ensemble Model by Anamika Jain (2025) - The SGCC Electricity Consumption Dataset [24] serves as an important publicly available dataset for constantly training and testing different ML and DL models used in ETD while enabling verification and performance comparison among approaches Although there have been many advances in the field of electricity theft detection, some of the gaps exist in the field. Figure 2 illustrates the comprehensive framework employed for electricity theft detection. Keywords: accuracy; class; data; detection; electricity; ensemble; et al; learning; models; stacking; theft; xgb
• Securing Medical Images and Patient Data using Non-Linear Sequences by Mahalinga V. Mandi, Anand H. D. (2025) - 21-03-2025 Abstract: Hiding of patient data in medical image along with image encryption is a growing research area. Key Words: Watermarking, Image encryption, Logistic map, Chaos 1. Keywords: chaos; data; encryption; figure; image; key; map; patient; vol
• “Advanced Cyclone Prediction with Czekanowsky Hyper Graph” by Poluri Saranya, Pilla Srinivas (2025) - 21-03-2025 Abstract: Cyclone prediction remains a critical challenge in meteorology due to the complex and nonlinear nature of atmospheric phenomena. A CNN model is applied on the hypergraph structure to extract robust spatial and temporal features for cyclone prediction. Keywords: cyclone; data; hypergraph; learning; networks; prediction
• Optimized Human Activity Recognition Using ANOVA-Driven CatBoost Modeling by S. Jagadeesh Sumanth, Naresh K, A sureshrao (2025) - Richardson, Carter, and Perry [10] redefined athletic performance metrics using HAR data, contributing to next-gen sports analytics. Ahmed, Khan, and Patel [23] presented HAR models tailored for smart retail analytics, focusing on customer behavior prediction. Keywords: accuracy; activity; analysis; anova; catboost; data; dataset; doi; feature; har; model; performance; sensor; systems; time; vol
• Wallace Tree And Brent Kung Adder for Improved Accuracy with Data Scaling Technology by Banoth Deepika, G.Bhoopal Rao, D Rajani (2025) - [11], who implemented a CNN accelerator using a Modified Booth Multiplier and Wallace Tree Adder, optimizing convolutional operations for deep learning frameworks. Two-Phase Implementation of Wallace Tree Adder with Data Scaling for 4-bit, 8-bit, and 16-bit Designs The Wallace Tree Adder, when combined with Data Scaling Technology, offers enhanced flexibility in handling arithmetic computations efficiently. Keywords: adder; bit; brent; carry; data; kung; power; precision; scaling; speed; tree; wallace; wallace tree
• AGDT: A Mathematical Model of Hybrid Algorithm for Efficient Routing in MANETs Using Dynamic Thresholds by Archana Kumari (2024) - While establishing and maintaining routes, location-aware routing protocols rely on the locationdata of network nodes as their primary source of data. Hybrid routing protocols are the combinations of proactive and reactive routing. Keywords: algorithm; data; distance; end; gpsr; manets; network; node; packet; protocols; routing
• Robust Modeling of Over Dispersed Count Data Using an Outlier-Weighted Poisson Regression Approach by Abobaker Mohamed Jaber (2025) - The classical method for modeling such data mailto:abobaker.Jaber@uob.edu.ly mailto:Moh.mohamed@sebhau.edu.ly mailto:Ais.assrhani@sebhau.edu.ly mailto:hnadyalmhdwy708@gmail.com mailto:Kasem.abdinibi@gmail.com mailto:Kasem.abdinibi@gmail.com Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 3192 https://internationalpubls.com is Poisson regression, which operates under the assumption of equal mean and variance (McCullagh&Nelder, 1989). However, real-world datasets often display overdispersion— where variance surpasses the mean—thus violating the assumptions of Poisson regression and resulting in underestimated standard errors and invalid inferences (Ver Hoef&Boveng, 2007; Cameron&Trivedi, 1998). Keywords: data; model; negbin; overdispersion; owpm; poisson; regression
• Mathematical Analysis and Non-Linear Optimization of EV Battery Health Using Fuzzy Logic and Neural Computing Techniques by Sunil Kumar Gupta (2024) - The application of neural networks and game theory in SOC and battery temperature management showed very powerful performance during battery charging which was beyond the scope of traditional methods. The simulation is followed by determination of the SOC and battery temperature, which are utilized as target features by the model. Keywords: analysis; battery; charging; data; logic; management; networks; optimization; soc; system; temperature; vol; 𝑆𝑂𝐶
• Predictive HR Analytics: Leveraging AI for Employee Retention and Experience Optimization by Shraddha Purandare (2025) - There are ethical concerns related to data privacy and security due to the reason that HR department try and balance amid using employee data for strategic reasons and protecting individual rights. CONCLUSION Work force management has been transformed by predictive HR analytics where big data and AI is used to predict the market trends and optimising HR process. Keywords: analytics; data; employee; retention
• Hyper-Personalized Marketing through AI: Predictive Consumer Behaviour and Ethical Implications by Sagar Bhadange (2025) - The respondent says that AI powered marketing raises ethical concerns in terms of privacy and data consent with mean value 3.19, AI based marketing strategies help to understand the unsaid needs of the customers in much better way (3.17), Customers like to respond to customized marketing (3.16), Consumer ethical concern is regarding lack of transparency in AI powered marketing (3.15), Customer centric marketing fosters brand loyalty3.14Personalization improves customer engagement (3.13), and Hyper-personalized marketing leads to biased profiling (3.12). AI marketing has changed the face of attempting to predict consumer behavioral changes and for the organization of individual campaigns, trading over advanced algorithms, big data, and real-time analytics. Keywords: behaviour; consumer; customer; data; hyper; marketing
• Prediction of Brain Hemorrhage Using Deep Learning Techniques by Sharayu Phatangare, Rahul Chakre (2025) - M. Ali, L. Javed, and T. Maqsood, Implementation of blockchain for privacy preservation in brain hemorrhage detection models, IEEE Access, vol. 9, pp. [29] presented a multi- objective optimization approach to enhance the trade-off between sensitivity and specificity in hemorrhage detection models. Keywords: accuracy; analysis; blocks; brain; classification; cnn; data; detection; hemorrhage; learning; model; mri; performance; resnet-50; scans; vol
• Adaptive Control Mechanisms for Real-Time Performance Optimization of Lightning Arresters by Sachin Kumar, Gagan Singh, Nafees Ahamad (2025) - Therefore, protective measures, including lightning arresters, grounded systems, thus surge protection devices, are essential to limit the potential damage that could be caused by lightning strikes and to ensure the durability of distribution networks [4]. To protect electrical systems from high-voltage surges that are induced by lightning, lightning arresters are units that are installed in the transmission and distribution networks. Keywords: 10s; adaptive; analysis; arrester; communications; control; current; data; distribution; efficiency; energy; issn; lightning; line; optimization; performance; power; protection; strikes; surge; system; time; transmission; voltage
• Evaluating Modern CNN Architectures for Advancements in Healthcare Applications by Payel Sengupta (2025) - Techniques like SimCLR (Simple Contrastive Learning of Representations) and BYOL (Bootstrap Your Own Latent) have shown promising results in pretraining medical CNNs for tasks like tumor detection or organ segmentation. Traditional CNNs typically require thousands of labeled images to achieve good performance, which is impractical for rare diseases or underserved populations. Keywords: analysis; classification; cnns; data; detection; efficientnet; healthcare; images; imaging; issn; learning; medical; models; networks; systems; vol
• Optimising Educational Performance through Clustering Algorithm Evaluation by Amartya Ghosh (2025) - Researchers have investigated various algorithms, such as K-Means, DBSCAN, BIRCH, and Expectation Maximization (EM), to analyze student performance data. More specifically, this research intends to: Assess the Efficacy of Diverse Clustering Algorithms: We'll implement and compare how well K-Means, DBSCAN, BIRCH, and Expectation Maximization (EM) algorithms perform when grouping student performance data. Keywords: algorithm; analysis; clustering; data; means; performance; student
• Mobile Crowd Sensing: A Comprehensive Review of Challenges and Solutions by Piyali De (2025) - To motivate the user towards data sensing data requester must provide user proper incentive [5] [13] No. 8s (2025) 965 https://internationalpubls.com • To sense and reporting them mobile users spent its own battery, processing power and data plan. Keywords: authors; crowdsensing; data; ieee; mcs; mobile; recruitment; selection; sensing; task; user; vol
• A Neural Network-Based Framework for Solving Large-Scale Inverse Problems by Shobhankumar D.M (2024) - Neural network approaches have demonstrated remarkable success in accelerating these reconstructions while maintaining or improving image quality. We examine fundamental theoretical concepts, including stability-accuracy trade-offs in neural networks for inverse problems, and demonstrate how deep learning approaches can not only accelerate solutions but also achieve superior performance compared to traditional optimization methods. Keywords: approaches; data; https://arxiv.org/abs/2211.13692; https://arxiv.org/html/2408.08119v1; https://www.aimsciences.org/article/doi/10.3934/nhm.2020011; inverse; inverse problems; learning; methods; networks; problems
• Accelerating Inverse Problem Solutions with Generative Adversarial Networks by Machhindranath M. Dhane (2024) - Inverse problems are notoriously ill-posed in the Hadamard sense, meaning they may lack unique solutions or exhibit extreme sensitivity to noise and small perturbations in measurements 12. Traditional approaches to solving inverse problems include analytical inversion methods, iterative optimization techniques, discretization-based regularization, and variational methods that incorporate prior knowledge through penalty terms 10. Keywords: approaches; data; gans; https://www.sciencedirect.com/science/article/abs/pii/s0045782523004620; imaging; inverse; inverse problems; learning; methods; networks; physics; problems; training
• Graph Neural Networks for the Analysis of Complex Mathematical Structures by Machhindranath M. Dhane (2022) - Memory requirements for storing and processing large mathematical graphs can be prohibitive, especially when node features are high-dimensional or when the graphs are densely connected. Mathematical knowledge graphs that integrate concepts from multiple mathematical domains could provide rich training data for GNNs to learn cross-domain mathematical patterns. Keywords: analysis; conference; data; gnns; graph; learning; networks; properties; representations; structures
• Uncertainty Quantification in Numerical Methods Using Deep Bayesian Neural Networks by Shobhankumar D.M (2023) - By treating network weights as probability distributions rather than point estimates, BNNs naturally capture both aleatoric uncertainty (inherent randomness in data) and epistemic uncertainty (model uncertainty due to limited data) 1,8. For regression tasks, this can be achieved by modeling heteroscedastic noise https://www.sciencedirect.com/science/article/abs/pii/S016794731930163X https://www.sciencedirect.com/science/article/abs/pii/S0045782521004102 https://www.sciencedirect.com/science/article/abs/pii/S0021999122009652 https://arxiv.org/abs/2102.06559 https://www.sciencedirect.com/science/article/abs/pii/S0045782521004102 https://arxiv.org/abs/2309.16314 https://www.sciencedirect.com/science/article/abs/pii/S016794731930163X https://www.sciencedirect.com/science/article/abs/pii/S0045782521004102 https://www.sciencedirect.com/science/article/abs/pii/S016794731930163X https://arxiv.org/abs/2412.08776 https://www.sciencedirect.com/science/article/abs/pii/S016794731930163X https://www.sciencedirect.com/science/article/abs/pii/S016794731930163X Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 30 No. 3 (2023) 60 https://internationalpubls.com (aleatoric) while capturing parameter uncertainty (epistemic). Keywords: approaches; bayesian; data; estimates; https://www.sciencedirect.com/science/article/abs/pii/s0021999122009652; inference; learning; machine; methods; networks; quantification; uncertainty
• A Multimodal Framework for Assessing Mental Health Strain among IT Industry Workers Using Machine Learning by Shailesh Kurzadkar, Vijay Bhandari, Anup Bhange (2025) - The results from experimental show encouraging performance: Whisper gives accurate transcription, NLTK VADER sentiment analysis achieves great classification accuracy across five emotion categories, and multimodal fusion extents up to 88% accuracy in stress detection. [3] Tanya Nijhawan, Girija Attigeri and T. Ananthakrishna, “Stress detection using natural language processing and machine learning over social interactions”,springer open access journal, https://doi.org/10.1186/s40537-022-00575-6,2022 Keywords: 10s; analysis; data; detection; emotion; fer; issn; learning; machine; recognition; sentiment; speech; stress; system; text; video; vol; whisper
• SMS Memory Built in Self Test Verification by Sandeep Santosh (2025) - STAR memory system is versatile, supporting both repairable and non repairable memories across various foundries, process nodes, and memory IP vendors. By providing accurate error detection, the Data Comparator enhances the robustness of memory systems, contributing to overall and performance. Keywords: data; memory; operations; processor; repair; sms; star; system; test; testing; vol
• Deep Learning-Powered Multi-Stage Image Feature Processing and Fusion Approach for Enhanced Visual Understanding by Cijin K Paul (2025) - This feature-level fusion combines the complementary strengths of numerical clinical data and visual image features, ensuring that both physiological and morphological aspects contribute to the diagnostic decision. 3. PROPOSED SYSTEM MODEL The proposed system introduces a multi-modal prediction framework designed to integrate both clinical data and colposcopy image features for improved diagnostic accuracy. Keywords: accuracy; analysis; data; feature; fusion; image; learning; model; multi; precision
• Analysis of Sleep Health and Lifestyle Factors: A Machine Learning Approach by Sourabh Sahu (2025) - Historically researchers collected sleep data through self-reported questionnaires along with clinical observations and the use of polysomnography (PSG) Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 2 (2025) https://internationalpubls.com 810 On the basis of the Performance metrics comparison between ML model can be performed to identify the best model to analyze sleep health data. Keywords: accuracy; analysis; data; disorders; learning; machine; sleep
• AI-Enabled Virtual Labs in STEM Education: A Review of Adoption and Efficacy by Pathan Ahmed Khan, Syed Amjed Hussaini (2025) - Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 3 (2025) 1114 https://internationalpubls.com AI-Enabled Virtual Labs in STEM Education: A Review of Adoption and Efficacy Dr. Pathan Ahmed Khan1, Dr. Syed Amjed Hussaini1 1System Engineer, Electronics and Communication Engineering JNTU Hyderabad, Hyderabad – 500056, Telangana, India. 1ELV Engineer, Electronics and Communication Engineering JNTUH Hyderabad – 500056, Telangana, India drpathanahmedkhan@gmail.com, amjedhere@gmail.com Article History: Received: 19-01-2025 Revised: 24-02-2025 Accepted: 21-03-2025 Abstract: To cultivate future creative thinkers, it is essential to endorse STEM education that incorporates AI and other interactive learning technologies. Keywords: analysis; data; education; et al; intelligence; learning; research; stem; stem education; students; systems; technologies; technology
• Statistical Assessment of Bayesian Optimization Gradient and Hessian Computation Based Improved Random Forest Classifier for Non-Linear Classification Problems by Sunil Kumar Gupta (2024) - These enhance the analytical depth of optimization techniques and evaluation strategies, essential for tailoring machine learning models to specific challenges such as high dimensional and noisy datasets like those encountered in image-based disease classification. These outcomes are gained from the initial exploratory data analysis that are used as a basis for further inferential statistics and machine learning models which are made extremely accurate to control the behavior of the disease and even predict future outbreaks. Keywords: accuracy; analysis; bayesian; classification; communications; data; disease; forest; gradient; image; issn; learning; lsd; lumpy; machine; model; optimization; performance; skin; vol
• A Smart System for Predictive Health Monitoring for Next-Gen Patient Care Using IOT by Rajashree Gadhave, Madhura Mahindrakar (2025) - [1] 1. S. S. Khatal and Y. K. Sharma, “Analyzing the role of heart disease prediction system using IoT and machine learning,” Int. This research leverages healthcare data, optimization techniques, and machine learning algorithms to assess whether a patient is likely to suffer from heart disease. Keywords: data; healthcare; heart; iot; learning; machine; monitoring; patient; system; vol
• Cloud files Storage System with Encryption by Namrata Goundadkar, Suyash Patankar (2025) - End for Step 4: End Procedure D. Objectives • To study and analysis various cloud data security approaches in multi cloud environment • Common files in which all contents are exactly similar if gets uploaded on the system by multiple users will get registered as the first owners file and others can access it as friend user which will avoid duplication of file at server. Keywords: access; attribute; cloud; control; data; encryption; key; system; user
• MHID: Malware Detection Using Hybrid Honeypot and Intrusion Detection System by Vinay Kumar Singh (2024) - To improve security, a hybrid intrusion detection system (HyInt) and honeypot networks have been added into the Mobile Cloud Environment, with the primary purpose of mitigating both unknown and known attacks. A hybrid honey pot that can record and collect both incoming and outgoing data while giving us control over our data is used in the proposed work to provide the best architecture that concentrates on the best decoy and lure architecture that can be absorbed by internal network attacks. Keywords: analysis; attacks; cloud; communications; data; ddos; detection; honeypot; hybrid; information; interaction; issn; learning; machine; network; ransomware; security; system; use; vol
• iROAS-Based Dynamic Bidding Strategy Using Multi-Armed Bandits in Retail Media Networks by Saurabh Mittal (2025) - Techniques such as bootstrapped Thompson Sampling or Bayesian UCB with uncertainty penalization allow the bandit to act conservatively in the face of noisy data, gradually increasing exploration once confidence in iROAS values improves [5, 6,18]. This is where new developments in the stream processing systems and real-time causal inference algorithms have brought significant latency improvement among ad impressions and iROAS feedback to be integrated into the quick response system(s), such as MABs [8-10]. Keywords: advertising; algorithms; bandits; bidding; causal; data; iroas; learning; mab; models; rmns; time; value
• Cardiovascular Disease Classification Using Advanced Machine Learning Techniques: A Comparative Study by Pritibala Sudhakar Ingle, Santosh Deshpande (2025) - [19] Goel, Rati, “Heart Disease Prediction Using VariousAlgorithms of Machine Learning” (July 12, 2021).Proceedings of the International Conference on InnovativeComputing & Communication (ICICC) 2021, Available atSRN: https://ssrn.com/abstract=3884968 orhttp://dx.doi.org/10.2139/ssrn.3884968 [20] Machine learningebased heart disease prediction system forIndian population: An exploratory studyMdone in South IndiaEkta Maini, Bondu Venkateswarlu, Baljeet Maini, DheerajMarwaha https://doi.org/10.1016/j.mjafi.2020.10.013 [21] Apurv Garg, Bhartendu Sharma and Rijwan Khan “heartdisease prediction using machine learning techniques” January 2021 IOP Conference Series Materials Science andEngineering 1022(1):012046 DOI:10.1088/1757-899X/1022/1/012046. As far as a binary classification problem in heart disease prediction, an SVM works by maximizing the margin between the nearest data points of each class commonly referred to as the support vectors. Keywords: accuracy; classification; data; dataset; decision; disease; forest; heart; heart disease; learning; machine; model; prediction; system
• The Role of AI-Based CRM Systems in Revolutionizing FinTech Customer Experience by Jayashree Swapnil Patil (2025) - A. Impact of AI based CRM in Fintech industry AI-based CRM systems are having a remarkable impact on the fintech industry, driving revenue growth and operational efficiencies. Specifically, it will investigate the combination of AI and fintech technologies in CRM systems to enhance automation, personalization, predictive analytics, and data security. Keywords: analysis; crm; customer; data; fintech; intelligence; management; services; systems
• Applications of Nondeterministic Zerodivisor Graph by P. Shakila Banu (2024) - DNA codes are perceived as terms over the alphabet set ∑ = {A, C, G, T}, accomplishing precise algebraic criteria. In [12], the author created a distance-preserving Gaussian map π that generated a one-to-one connection between every one of the genome codewords of length two and the constituent components of the ring R. Researchers introduce multiple novel categories of DNA codes that comply with reverse complement limitations by utilising this representation. Keywords: amino; binary; codes; codons; data; dna; graph; mrna; parity; set
• Leveraging IOT and Fintech Innovations for Financial Inclusion: Opportunities, Challenges, And Policy Implications by Ashwini Prabhakar Chavan (2025) - Historical Evolution of Financial Inclusion: Financial inclusion has undergone significant transformations over the past century, evolving from early microfinance initiatives to today’s digital financial services. To evaluating how the pandemic has influenced digital financial inclusion and the adoption of fintech solutions. 2.6 Keywords: access; adoption; analysis; banking; credit; data; digital; financial; fintech; inclusion; india; mobile; payment; regulatory; services; solutions; vol
• Digital Watermarking Systems: A Study of Resilience and Applications by Leena Amol Deshmukh, Maithili Arjuwadkar (2025) - Also, in robust watermark watermarked data is extracted successfully by authorized users though watermark has gone through multiple signals processing to manipulate watermark and watermark attack. Digital watermark is a solution for content protection. Keywords: attack; data; digital; document; image; information; issn; vol; watermark; watermarking
• Exploring the Transformation of Financial Analysis through Advanced Analytics for Enhanced Performance Management by Ketaki Kulkarni (2025) - In Financial Planning Analytical algorithms have the capacity to assess past financial data, predicting sales, demand, and various financial metrics. The usage of these tools & techniques, such as cloud platforms and GPT, has provided efficiency for analysing financial data. Keywords: analysis; analytics; business; data; learning; management; market; planning; user
• Intrusion Detection Using Whale Optimization Based Weighted Extreme Learning Machine in Applied Nonlinear Analysis by P. Kaliraj (2024) - Secondly, in the proposed IoT distributed intrusion detection system model, the intrusion detection server is responsible for intrusion detection model aggregation, intrusion sample pricing, intrusion detection model management, and intrusion detection model distribution. Processing raises the minority attacks recall rate during network assaults, balances the data during network intrusion detection, and keeps WELM from opting for local best solutions. Keywords: algorithm; analysis; data; detection; intrusion; issn; learning; model; network; optimisation; set; training; vol; welm; whale; woa
• A Comprehensive Review of the Studies of Deformation Due to Seismic Sources by Kavita Rani, Pawan Kumari (2025) - These models represent fault slip as rectangular or triangular elements embedded in a homogeneous elastic medium and are used to generate closed form Green’s functions for both forward and inverse modelling. Linking geodetic fields to subsurface fault processes requires forward models (elastic and viscoelastic) and inverse methods that account for observational errors and modelling non- uniqueness. Keywords: afterslip; coseismic; data; deformation; fault; gnss; models; relaxation; slip; viscoelastic
• Deep Learning-Driven Smart Parking Reservation System for Urban Traffic Management by N. Sekar, S. Nithya (2025) - Table 3: datasets characteristic Datasets Attribute min max Standard deviation (SD) P1 Real 0 152 58.5 P2 Real 0 132 29.0 P3 Real 0 151 42.2 Accuracy and Efficiency Comparison among parking models Both the TCN and LSTM networks achieved good accuracy on the real and synthetic datasets, as shown in Table 4. Valuing parking prediction models with errors The evaluation results of each model's accuracy in predicting vehicle parking locations are shown in Figure 8. Keywords: 10s; accuracy; analysis; availability; communications; data; figure; issn; learning; lstm; model; occupancy; parking; prediction; rnn; system; time
• Comprehensive Survey of Noise Strategies in Diffusion Model Frameworks by Sanjay Kumar (2024) - Author: pratap.pgdavcollege.hari@gmail.com Received: 02-11-2024 Revised: 07-11-2024 Accepted: 11-11-2024 Published: 19-11-2024 Abstract: Diffusion models are swiftly evolving the state-of-the-art for image enhancement applications, resulting in a strong generalizable framework for restoration, super-resolution, inpainting, deblurring, low-light imaging, etc. This survey provides a novel and inclusive noise/initialization-based taxonomy with diffusion models placed in relationship to the type of noise mechanisms exploited: Additive Gaussian Noise (AGN), Conditional Noise Injection (CNI), Learned Noise (LN), and Poisson/Signal Dependent Noise (PSD). Keywords: analysis; cni; data; denoising; dependent; diffusion; diffusion models; diffusion process; enhancement; forward; gaussian; image; image restoration; inpainting; issn; light; models; noise; poisson; process; resolution; restoration; signal; super
• Best Practices for Designing Semantic Layers in Business Intelligence Systems by Prateek Panigrahy (2024) - Theoretical Foundations of Semantic Layers Continuing on the theme of the importance of semantic layers in reducing complexity and making the interface easier to use, what is needed is a discussion on the theory underlying them. This paper draws on academic literature and benchmarking research, which together provide a foundation for designing semantic layers that are uniform, replicable, and dynamic in the development of BI systems. Keywords: analytics; business; data; design; intelligence; layer; systems
• Federated Identity Graph Construction for Real-Time Cross-Channel Activation in Enterprise CDPs by Arjun Sirangi (2025) - Rather than pulling everything into one database, federated identity graphs use distributed learning models and trusted cryptographic protocols to calculate identity linkages. For federated identity graphs, SMPC is employed for comparing encrypted identifiers across organizational boundaries but incurring non-trivial performance overheads. Keywords: activation; analysis; cdps; computation; customer; data; enterprise; graph; identifiers; identity; identity graph; identity resolution; latency; learning; models; privacy; resolution; systems; time; user
• AI-Powered Data Quality Validation Framework for Real-World Healthcare Pipelines by Raja Navaneeth Mourya Talluri (2025) - Similar to most cases, traditional data quality validation techniques have been data quality validation systems that are usually rule- based, or manual audits, which are unable to be scaled with the size and complexity of healthcare data [2]. The results confirm the hypothesis that AI-based approaches will be more effective in relation to rule-based systems in various aspects of healthcare data quality validation: accuracy, speed, context-awareness, and scalability. Keywords: accuracy; analysis; data; data quality; healthcare; learning; models; quality; results; systems; validation
• Performance Evaluation of Paddy Crop Prediction Models with Optimization Methods by S. Ravishankar, S. Dhanavel (2025) - Overall, the results from Tables 1, 2, and 3 and the corresponding visual trends in Figures 1, 2, and 3 confirm that optimization techniques considerably enhance the accuracy, consistency, and reliability of machine learning models used for paddy crop prediction. Conclusions This research concludes that optimization techniques play a crucial role in improving the accuracy and reliability of machine learning models used for paddy crop prediction. Keywords: accuracy; crop; data; growth; learning; machine; models; optimization; paddy; prediction; vol
• A Machine Learning Framework for AI based Human Resource Design by Niharika Singh, Sudeshna Chakraborty (2025) - Overall data flow for the suggested smartphone-based activity recognition system Despite these developments, issues like biases in AI systems create ethical and privacy concerns [15]. The method helped identify important AI applications across numerous HRM departments and offered insights on how AI applications affected HRM processes. Keywords: analysis; artificial; communications; data; hiring; hrm; human; intelligence; issn; learning; management; model; recruitment; resource; vol
• Federated Edge-to-Cloud AI Infrastructure for Adaptive Cyber Resilience by Venkata Thej Deep Jakkaraju (2025) - Detection accuracy has been improved by as much as 8 percentage points and communication overhead has been reduced by as much as 99% through federated edge learning as compared to naïve baselines. Here, edge devices or edge micro data centers can be the places where both inference and training of partial workloads happen. Keywords: cloud; computing; cyber; data; devices; edge; latency; learning; model; security
• Integrating Machine Learning with Electronic Health Records for Real-Time and Accurate Diabetes Diagnosis in Clinical Settings by Asheesh Pandey, Sudeshna Chakraborty (2025) - Pre-processing was followed by the application of machine learning models, which improved accuracy over previous studies. However, within a realistic calculation timescale, other machine learning models also produced impressive results in terms of accuracy, speed, F1-scores, and AUC-ROC. Keywords: accuracy; analysis; communications; data; dataset; diabetes; healthcare; issn; learning; machine; performance; prediction; svm; vol
• Multi-Label Categorical Data using Orthogonal-Constrained Meta-Heuristic Adaptive Multi-View Clustering by Babu Karri (2025) - One method that has been suggested uses multi-labeled data to group comparable labeled samples into dimensional data concepts and then uses the optimal matrix factorization (OMF) method to assess low-dimensional data. This approach allows for using the same grouping processes on different datasets to capture various perspectives on multi-labeled data. Keywords: analysis; clustering; data; feature; label; learning; matrix; method; representation; view; vol
• Real-Time Mobile Computing Architecture for Electric Bus Predictive Diagnostics by Ankit Maurya, Gur Sharan Kant, Kavi Bhushan (2025) - [11] P. Singh and A. Verma, “IoT-enabled maintenance of electric bus batteries,” IEEE Sensors Journal, vol. 21, no. 15, pp. Fig.2: Five layer architecture of data processing in predictive bus Diagnostics. Keywords: analysis; bus; buses; computing; data; maintenance; predictive; system; time; vol
• Depression Classification using Harris Hawk Optimization (HHO) based Recurrent Fuzzy Neural Network (FRNN) for Sentiment Analysis: An Applied Nonlinear Analysis by P. Suganya (2024) - The selected features may contain sentiment -based features. Comparison of RMSE Table 1 presents a comparative analysis of sentiment analysis performance with and without feature selection using various metrics. Keywords: analysis; classification; data; document; feature; frnn; hho; input; layer; nonlinear; selection; sentiment; term; vol
• Computational Analysis for Enhanced Forecasting of India’s GDP Growth using a Modified LSTM Approach by Bhavika Nemade (2024) - This discussion on GDP growth forecasting for India attempts to provide insights into the methodology, challenges, and importance of effectively projecting the economic growth trajectory. Given the significance of GDP growth forecasting, different entities make forecasts for India's economic performance. Keywords: analysis; class; crises; data; dataset; economic; forecasting; gdp; gdp growth; growth; india; lstm; model; time; values; vol
• An Statistical Analysis of Gated Recurrent Unit Based Predictive Modelling for Dynamic Obstacle Avoidance in Autonomous Aerial Vehicles by Nisha Wankhade (2024) - In the future, researchers may work on making prediction models that are more accurate, adding more sensors to make it easier to find and follow obstacles, and testing new ideas in real-life situations. We also want to test our model on real AAVs to see how well it works in real-world situations. Keywords: aav; aavs; avoidance; data; future; gru; model; moving; objects; obstacle; prediction; time
• Design of Mathematical Model and Implementation of IoT Enabled Smart Secure Parking System by M.L.Keote (2024) - Putting together Internet of Things (IoT) technology with smart parking systems looks like a good way to solve these problems. Smart parking systems that use the Internet of Things (IoT) also take user involvement and contact into account when they are being designed. Keywords: analysis; app; data; iot; issn; parking; rfid; sensors; smart; spots; system; time; user; vol
• Quantitative Analysis of Urban Transformation using Remote Sensing Data and Machine Learning Approach by Nita Nimbarte (2024) - ACKNOWLEDGMENT The authors are thankful to the MRSAC Nagpur, Maharashtra, India to carry out this research work and providing satellite image data for urban change analysis. Prime issues of change detection methods are demonstrated. Keywords: analysis; area; change; cities; classification; data; detection; images; issn; land; method; satellite; sensing; urban
• Analysis of Machine Learning Approaches for DNA Sequencing and Classification: An optimized Approach by Bhushan Bawankar (2024) - The potential advancement of genomics research, customized medicine, and various scientific applications that rely on precise classification of DNA sequences is presented by the combination of machine learning and DNA sequencing. Keywords: Feature extraction, Machine learning, DNA sequences. Keywords: accuracy; algorithm; analysis; classification; data; dataset; decision; dna; feature; issn; learning; machine; machine learning; optimization; vol
• Mathematical Formulation of Deep Learning Model for Poultry Disease Classification using EfficientNet- B3 CNN Model by Ajay G. Barsagade (2024) - • Used deep learning methodology to predict the four classes of chicken diseases, New Castle disease, salmonella, coccidiosis, and healthy. A CNN-based framework has been proposed to classify chicken diseases by distinguishing between images of sick and healthy faces [16]. Keywords: analysis; chicken; classification; cnn; coccidiosis; data; detection; disease; efficientnet; illnesses; images; issn; learning; model; network; poultry; salmonella; vol
• Analytical Image Authentication in Healthcare: Deep Learning Based Mathematical Methods for Uncovering Large-Scale Forgery in Medical Images by Sharda Mahajan (2024) - After a lot of testing and improvement, the suggested way works better than others at finding fake activities in medical images. Keywords: Image authentication, Deep learning, Medical images, Forgery detection, Healthcare, Convolutional neural networks. Keywords: analysis; capsule; data; figure; healthcare; images; input; learning; lstm; models; networks; picture; step; vol
• Integrating Morphological Characteristics with Empirical Mode Decomposition for Robust ECG Signal Classification by Achamma T Varghese (2024) - In this study, we propose a comprehensive approach that integrates morphological features with features extracted using EMD for ECG signal classification. This study proposes a method for the classification of ECG signals for hyperkalaemia using a feature set extracted from electrocardiogram (ECG) signals. Keywords: accuracy; analysis; classification; data; detection; ecg; emd; features; hyperkalemia; interval; mode; signal; vol; wave
• Statistical Implementation for SD-RNN Model for Multi-Class Classification for Network Intrusion Detection System by Nekita Chavhan (2024) - The model's purpose was to detect and classify malicious behavior in network data, accurately assigning it to one of 15 specific attack categories. DL model-based IDS developed [15] that enhances intrusion detection system which utilizes a hybrid network consisting of LSTM and CNN to extract both temporal and spatial features from network traffic data. Keywords: analysis; classification; classifier; data; dataset; detection; ids; intrusion; intrusion detection; issn; learning; machine; model; network; system; vol
• Efficient Facial Emotion Detection through Deep Learning Techniques by Priti Singh (2024) - Keywords: Deep learning, facial emotion recognition, Cognitive Internet of Things. 29-05-2024 Abstract: Smart facial emotion detection represents a captivating realm of inquiry that has found applications across diverse sectors such as defense, healthcare, and human-machine interfaces. Keywords: analysis; cnn; data; detection; emotion; image; internet; learning; model; recognition; things; vision; vol
• A Study on the Efficacy of Machine Learning Models in Intrusion Detection Systems by Praveen Kumar Shukla (2024) - These use cases consist of: •Fraud detection: Teams can use logistic regression models to find data abnormalities that point to fraudulent activity. Types of logistic regression Logistic regression models based on categorical responses come in three varieties. Keywords: analysis; communications; data; detection; intrusion; issn; model; regression; vol
• Enhancing Data Security in SPARK Cluster: A Novel Symbol-based Authentication Approach by J.Balaraju (2024) - 02-06-2024 Abstract: User authentication is the process of confirming an individual's identity prior to granting them access to a connected device, an online service, or any other valuable resource. User authentication plays a pivotal role in computer and big data security scenarios, ensuring that the individual requesting a resource is indeed the person they claim to be. Keywords: apache; authentication; cluster; data; hadoop; security; spark; system; user
• Advances in Topological Methods for Data Analysis by Amaria Arara, S. K. Mishra, (2023) - This article delves into the mathematical foundations, methodologies, and real- world applications of topological data analysis (TDA). As we continue to refine and expand these methods, topological data analysis will play a pivotal role in solving real- world problems and advancing knowledge. Keywords: analysis; data
• Drought Analysis and Forecasting in Odisha using Machine Learning Techniques by Neena Uthaman (2024) - Only a few studies have examined drought prediction in particular states Deep learning algorithms were looked into for drought prediction [10]. Keywords: analysis; average; data; drought; fig; learning; machine; model; odisha; precipitation; prediction; rainfall; temperature; vol; water; years
• An Analysis of Cyberbullying in Text Data using Deep Learning Algorithms by M. Dharani (2024) - Because there is a high correlation between cyberbullying and bad feelings, using emotion indicators into cyberbullying detection can thereby increase the accuracy of the detection. [9] Ali, W. N. H. W., Mohd, M., & Fauzi, F., “Cyberbullying detection: an overview”,IEEE Cyber Resilience Conference (CRC), pp. 1-3, 2018. Keywords: accuracy; analysis; cyberbullying; data; detection; dnn; figure; function; learning; social; step
• Survey on Enhancing Energy Efficiency in Wireless Sensor Networks Based on Rapid Data Collection by M. Rajalakshmi (2024) - Deep learning with LSTM based distributed data mining model for energy efficient wireless sensor networks. Enhanced grey wolf algorithm for energy efficient wireless sensor networks. Keywords: algorithm; collection; data; efficiency; energy; leach; networks; sensor; wireless; wsns
• Network Intrusion Detection Utilizing Autoencoder Neural Networks by Zakiya Manzoor Khan (2024) - These techniques will be tailored to the unique demands of network intrusion detection, with the aim of improving the system's ability to discern normal network behavior from potential intrusions and anomalous activities.[7] • In this literature review, we explore the existing research and studies related to the application of DNNs for network intrusion detection. Keywords: analysis; autoencoder; data; detection; intrusion; issn; journal; learning; model; network; research; security; vol
• Enhancing Internet of Things Security Through Optimization Algorithms and Machine Learning by Zakiya Manzoor Khan (2024) - These vulnerabilities lead to the classification of IoT attacks into three main categories: attacks on the physical layer, attacks on the network layer, and attacks on the application layer. Physical layer attacks focus on hardware devices, network layer attacks target the IoT system's network, and application layer attacks employ malware, trojans, and viruses to compromise the application layer. Keywords: access; algorithm; analysis; attacks; classification; data; devices; iot; layer; learning; machine; network; traffic; vol
• Game Theory and Adversarial Machine Learning: Analyzing Strategic Interactions in Cybersecurity by Bhagawati Chunilal Patil (2024) - The study lists and sorts the different types of game models used in this area, from basic to dynamic games. For game theory, you need to read a lot of books that cover different game models, equilibrium ideas, and strategy decision-making frameworks. Keywords: aml; attackers; attacks; cybersecurity; data; defenders; defense; game; learning; machine; methods; model; strategies; theory
• Stochastic Models for Cyber Attack Detection and Response: A Mathematical Approach to Intrusion Detection Systems by Rohit Krishna Murti (2024) - [12] Z. Ahmad, A. Shahid Khan, C. WaiShiang, J. Abdullah and F. Ahmad, Network intrusion detection system: A systematic study of machine learning and deep learning approaches, Transactions on Emerging Telecommunications Technologies, vol. 32, no. 1, pp. [16] J. Zhang, L. Pan, Q.L. Han, C. Chen, S. Wen and Y. Xiang, Deep learning based attack detection for cyber- physical system cybersecurity: A survey, IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 3, pp. Keywords: accuracy; analysis; attack; cyber; data; detection; ids; learning; methods; models; network; optimization; stochastic; systems; traffic
• Mathematical Frameworks for Threat Intelligence Analysis: Leveraging Graph Theory and Machine Learning for Cyber Threat Assessment by Kanchan Rahul Jamnik (2024) - Machine Learning Techniques for Intrusion Detection: A Review and Machine Learning for Cybersecurity: A Review are two studies that give in-depth analyses of machine learning methods used in cybersecurity tasks such as finding strange behavior and analyzing malware [5][6]. These studies show how graph models can tell us a lot about how networks are put together, and how machine learning methods can help us automatically find patterns and strange things, which makes cyber defenses stronger [14]. Keywords: analysis; cyber; cybersecurity; data; detection; graph; intelligence; learning; machine; machine learning; methods; models; network; threat
• Secure and Swift: A Proactive Approach to Defend Lightweight Key Exchange Mechanisms Against Replay, Masquerade, and Message Forgery Attacks in Cloud-IoT Communication by Gaikwad Vidya Shrimant (2024) - 88–93 [38] B. Vaidya, D. Makrakis, and H. T. Mouftah, “Device authentication mechanism for smart energy home area networks,” in Proc. he paper categorizes IoT authentication schemes into five groups: symmetric key-based, asymmetric key-based, hybrid authentication, physically unclonable functions (PUFs), and other techniques [20]. Keywords: analysis; attack; authentication; cloud; data; device; internet; iot; key; message; protocol; security; server; things
• Analysis and Prediction of Stock Price using HMM and Facebook’s Prophet Computational Models by K. Senthamarai Kannan (2024) - In recent times, stock price forecasting has witnessed significant advancements, with associated technologies reaching greater levels of maturity. Time series model for stock price forecasting in India. Keywords: data; hmm; model; observation; prediction; price; prophet; stock
• Computational Predictions of MGMT Promoter Methylation in Gliomas: A Mathematical Radiogenomics Approach by Ayesha Agrawal (2024) - No. 4s (2024) 239 https://internationalpubls.com 3.4 Feature Selection Feature selection is a process of identifying and selecting the most important features in image datasets that helps to enhance the performance of machine learning models. Our mathematical approach ensures rigorous evaluation of model accuracy through sensitivity, specificity, and other performance metrics, presenting the Sequential FCNet ANN combined with ResNet50 as the superior model. Keywords: accuracy; analysis; classification; communications; data; features; fig; issn; learning; methylation; mgmt; model; precision; promoter; status; training; vgg19; vol
• Enhanced Ultra-Wideband Communication System with OFDM Modulation: Performance Analysis in LOS and NLOS Conditions by Khushbu Meena (2024) - Figure 8 Thought vs. Signal to Noise Ratio In UWB OFDM systems, thought, or the intended message, is encoded into digital data points which are then modulated using OFDM techniques for transmission. In this paper, we explore the performance of UWB communication systems in both LOS and NLOS conditions. Keywords: analysis; channel; communication; conditions; data; frequency; line; nlos; ofdm; path; receiver; sight; signal; system; uwb; vol
• An Object Based Decision Support Protocol for Multi- Constraint Agile Digital Forensics Investigation by T M Bhraguram (2024) - Related Works A wide variety of forensic decision tools are available in the market with various specifications and most of them are based on static evidence retrieval without prompting any time bound specifications. Develop a semantic model specification for digital forensic decision making where detailed examination is needed. Keywords: analysis; communications; cyber; data; decision; evidence; forensic; investigation; issn; making; model; process; protocol; research; science; security; support; system; time; vol
• Decentralization of Identity using Ethereum and IPFS by Shailaja Lohar (2024) - DecentID eliminates the need for a single trust anchor, protects the privacy of user identity data, and allows users to create multiple identities from subsets of their stored attributes, such as addresses, photos, or videos. These specifications are essential components for building decentralized identity systems. Keywords: analysis; blockchain; data; ethereum; identity; identity management; management; proof; ssi; step; system; user; verification; vol
• Computational Machine Learning Analytics for Prediction of Water Quality by Nitya Nand Jha (2024) - Table 3 shows that the results showed that the employed models performed adequately in forecasting water quality data. Machine learning may revolutionize water quality prediction, according to our findings, paving the way for better, more efficient use of water resources. Keywords: accuracy; analysis; classification; communications; data; dataset; issn; learning; machine; machine learning; models; prediction; quality; regression; use; vol; water; water quality; wqi
• The Intersection of Algebra and Cryptography: Enhancing Information Security through Mathematical Foundations by Shashi Raj K (2024) - • Comparative Analysis and Evaluation: Comparative study of the performance and security of algebraic cryptographic techniques versus traditional methods. 3. Integration with Emerging Technologies: Further research should investigate the integration of algebraic cryptographic techniques with emerging technologies such as blockchain, AI, and machine learning. Keywords: algebraic; algorithms; analysis; communications; cryptography; data; encryption; key; lattice; protocols; quantum; security; techniques
• Smart Solutions for Sustainable Agriculture: Design and Development of IoT-Powered Soil Health Identification Systems by Ritu Raj Sondhiya (2024) - As a reaction to these issues, there has been a substantial amount of effort focused on the development of intelligent solutions, notably soil health detection systems that are driven by the internet of things. No. 4s (2024) 511 https://internationalpubls.com 1.1 Smart Farming A paradigm change is taking place in smart farming, which is a fundamental component of sustainable agriculture, as a result of the introduction of soil health detection systems that are driven by the internet of things. Keywords: agriculture; data; farmers; health; internet; iot; monitoring; sensors; soil; soil health; systems; things; time
• IoT-Based Smart Glove for Pollution Monitoring and Potholes mapping using Node-MCU by Kaushalya Thopate (2024) - Air pollution monitoring system using wireless sensor networks and cloud computing. Air quality monitoring system based on IoT using Raspberry Pi. Keywords: air; data; ieee; iot; monitoring; pollution; potholes; quality; road; sensors; system; time
• Scientific Integration of Operations Research and Machine Learning for Data Centre Optimization by Jagdish Pimple (2024) - Following figure 03 comparative analysis chart showing the results of using Operations Research (OR), Machine Learning (ML), and Hybrid approaches for data center optimization. Even while the use of OR and ML approaches for data center optimization has advanced significantly, there are still many opportunities for new developments and research. Keywords: center; data; energy; learning; machine; operations; optimization; research
• Design of an Iterative Method for MapReduce Scheduling Using Deep Reinforcement Learning and Anomaly Detection by Aihtesham Kazi (2024) - Recent advances in machine learning and data analytics have opened new avenues to enhance the adaptability and efficiency of job scheduling in distributed systems. In response to these challenges, this paper contributes a robust scheduling framework specifically designed for MapReduce environments, which integrates advanced machine learning techniques to enhance the adaptability and efficiency of job scheduling. Keywords: allocation; completion; computing; data; framework; job; job scheduling; learning; mapreduce; model; performance; processing; resource; scheduling; system; task; utilization; vol
• A Hybrid Malware Detection System for Enhanced Cloud Security Utilizing Trust-Based Glow-Worm Swarm Optimization and Recurrent Deep Neural Networks by R Swathi (2024) - In addition, the efficacy of malware detection might be measured using more classy deep learning (DL) techniques, such as reinforcement learning (RL). A survey on malware detection using data mining techniques. Keywords: analysis; cloud; computing; data; detection; files; identification; international; learning; malware; malware detection; model; security; system; vol
• Detecting Vulnerabilities Through the Examination of Software in Cloud using Machine Learning Techniques by G P C Venkata Krishna (2024) - [3] Peng Li and Baojiang Cui, ”A comparative study on software vulnerability static analysis techniques and tools,” 2010 IEEE International Conference on Information Theory and Information Security, Beijing, 2010, pp. Early detection of potential security vulnerabilities helps develop more secure software systems. Keywords: analysis; approach; code; data; learning; potential; security; security vulnerabilities; software; systems; techniques; vulnerabilities
• A Study on Customer Segmentation for Banking Sector Through Cluster Analysis: Ethical Implications by L. Kuladeep Kumar (2024) - Data analysis and exploration: Python Libraries (pandas, seaborn, matplotlib) were utilized to analyze and visualize customer data to identify patterns and trends. Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 5s (2024) 57 https://internationalpubls.com A Study on Customer Segmentation for Banking Sector Through Cluster Analysis: Ethical Implications Dr. L. Kuladeep Kumar1, Dr. D.Venkatesh2, Dr.J. Katyayani3, Dr.Sreenivasulu Sunkara4, Dr. Gowthami. Keywords: analysis; banking; cluster; clustering; customer; data; sector; segmentation; spending

• Skin Cancer Diagnosis with a Customized CNN Model using Deep Learning Approaches by Kiran Likhar (2024) - Keywords: Artificial intelligence, Skin cancer detection, Deep learning, Pretrained Models, CNN. The use of DL techniques has gained significant attention for improving the accuracy and efficiency of skin cancer detection. Keywords: accuracy; analysis; cancer; classification; cnn; densenet121; detection; learning; malignant; models; skin; skin cancer; vol
• AI in English and Math Education: Bridging the Gap Between Theory and Practice by Rahmanita Zakaria (2024) - The discussions revealed the current state of AI integration in English and Math education, emphasizing the potential advantages and difficulties linked to the utilization of AI tools and resources. This study will utilize a mixed-methods approach to examine the current state of AI integration in both English and mathematics education. Keywords: education; english; instruction; intelligence; learning; literature; math; research; study
• Improved Methodology for Breast Cancer Prediction through Integration of Hard Voting Ensemble Classifier on WDBC Data Set by Archana Singh (2024) - Breast cancer prediction model with decision tree and adaptive boosting. [6] utilized ml ensemble models for classification of breast cancer dataset and they achieved an accuracy of 97.42%. Keywords: accuracy; breast; cancer; classifier; dataset; ensemble; learning; machine; model; training; voting; wdbc
• Reducing Loss for Brain Tumour Detection and Classification in MRI using Deep Learning Techniques by Venkata Ramana Saddi (2024) - According to International Association of Cancer Registries (IARC), over 28,000 instances of brain tumours are detected more than 24,000 individuals die due to brain tumour every year in India. Table 1: Risk factors which cause brain tumour Risk Factors Supportive reasons Head injury and seizures There has long been research on the relationship between brain tumours and serious head injuries. Keywords: analysis; brain; brain tumour; classification; cnn; detection; glioma; issn; learning; loss; mri; system; tumour
• Fidelity-Guided Restoration: Balancing Noise Reduction and Texture Preservation for Enhanced Image Details by V. Kalpana (2024) - Buades et al. (2005) introduced the Non-Local Means (NLM) filter effectively reducing noise while preserving image textures by exploiting similarities between image patches. Non-Local Means (NLM) filter Reduces noise while preserving image textures by exploiting similarities between image patches Computationally expensive and can be slow for large images Xu et al. Keywords: details; fgr; fidelity; image; learning; noise; preservation; restoration; system; texture
• Soil Health Intelligence System using Multispectral Imaging and Advanced Deep Learning Techniques (SHIDS-ADLT) by B. Dhanalakshmi (2024) - 12-08-2024 Abstract: The Soil Health Intelligence System using Multispectral Imaging and Advanced Deep Learning Techniques (SHIDS-ADLT) is a cutting-edge solution designed to revolutionize the assessment and management of soil health. The system’s ability to provide real-time analysis and actionable recommendations ensures that soil health is maintained at optimal levels, promoting higher crop yields and reducing the reliance on chemical fertilizers. Keywords: adlt; analysis; health; imaging; learning; shids; soil; system
• An Improved Mathematical Model by Applying Machine Learning Algorithms for Identifying Various Medicinal Plants and Raw Materials by Srinivasa Babu Kasturi (2024) - Keywords: Medicinal plants identification, Image processing, Machine learning algorithms, Colour features, Pattern recognition, Leaf texture analysis, Computer vision. Data Collection: Here, we collect the samples, document a customary wisdom, and conduct field research to methodically gather information for medicinal plant identification. Keywords: accuracy; analysis; communications; identification; image; kumar; leaf; learning; leaves; machine; plants; species; svm; vol
• Construction of 3D Human Model from 2D Image using PyTorch and Blender by Ch. Prathima (2024) - CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India 1Corresponding Author: chilukuriprathi@gmail.com Article History: Received: 18-06-2024 Revised: 24-07-2024 Accepted: 02-08-2024 Abstract: In this study, we present our innovative approach to generating 3D models from 2D images, employing PyTorch, Blender, Python, and OpenCV. Here, the computational power of algorithms and the creative vision of artists and designers combine to create 3D models that are incredibly dynamic and realistic. Keywords: analysis; blender; images; input; learning; model; processing; python; pytorch; reconstruction; rendering; system; video; vol
• TPACK and EdTech Integration in Teaching and Learning Process: A Systematic Literature Review (2014-2024) by Wang Lixia (2024) - Driver Study Understanding the Relationship between TPACK and EdTech Integration (Aktaş & Özmen, 2022),(Anderson & Putman, 2020), (Eralp Bahcivan et al., 2019), (Buss et al., 2018),(Shinas et al., 2015),(Celik et al., 2014),(Y.-H. Chen & S.-J. Jang, 2014),(Güneş & Bahçıvan, 2016),(Gökçearslan et al., 2017), (Roussinos & Jimoyiannis, 2019), (S. Birisci & E. Kul, 2019),(Seif & Biranvand, 2019), (Wright & Akgunduz, 2018),(Susanto et al., 2020),(Yanış & Yürük, 2020), (Zhao et al., 2024), (M. M. Ali et al., 2024), (Anderson & Putman, 2023) ,(Angraini et al., 2023) ,(I. Backfisch et al., 2024) ,(A. Bahari et al., 2022) ,(E. Bahcivan et al., 2019) ,(Baltynova et al., 2023) ,(Belo et al., 2016) ,(L. Bhattacharya et al., 2024) ,(S. Birisci & U. Kul, 2019) ,(F. C. Bonafini & Y. Lee, 2021) Bhattacharya et al., 2024),(Fikri, 2024),(Vilarinho-Pereira et al., 2024),(Witherspoon et al., 2024), (Schmid et al., 2024), (T. Cherner & C. Mitchell, 2021) ,(Chiu & Lim, 2020) ,(A. Christodoulou & C. Angeli, 2022) Keywords: doi; edtech; education; et al; integration; journal; knowledge; learning; research; teachers; teaching; technology; technology integration; tpack; vol
• Enhanced SVM Classification for Diabetes Prediction: A Comparative Analysis Using the Kaggles Diabetes Dataset by Vaman M. Haji (2024) - In addition, Gupta et al. (2022) investigated the potential of using federated learning techniques to address privacy issues in diabetes prediction models. 3.4 Feature Importance While SVM models don't provide direct feature importance scores like some other algorithms (e.g., random forests), the selection of features through our preprocessing steps played a crucial role in achieving these results. Keywords: accuracy; analysis; dataset; diabetes; feature; learning; machine; model; performance; prediction; svm
• MDVPB: Design of an Efficient Modified Densenet-161 Model for Advanced Vein Pattern Recognition in Biomedical Systems by Manisha A.Gawande (2024) - Historically, vein pattern recognition systems have employed a range of techniques, from simplistic pattern matching to sophisticated imaging technologies. This process embodies the essence of the dual input process, synthesizing the comparative analysis into actionable insights, thereby marking a paradigm shift in the precision and reliability of vein pattern recognition systems. Keywords: accuracy; analysis; biological; doi; extraction; feature; finger; identification; ieee; images; keywords; learning; mdvpr; model; pattern; pattern recognition; process; recognition; systems; vein; vein recognition; vol
• A Novel Multi-Stage Feature Selection and Classification Model for Accurate Liver Disease Detection by Gurmeet Kaur Saini (2024) - In future, the performance of liver disease detection models can further be enhanced by implementing nature inspired optimization algorithm along with ML and DL classifiers. By implementing these advancements, our proposed NeuroOPT model not only increases the accuracy rate for both binary and multi-class classification but also offers a dynamic and practical solution that addresses the limitations of current liver disease detection models. Keywords: accuracy; analysis; classification; detection; disease; feature; figure; learning; liver; liver disease; model; relevance; score; set; stage; vol
• Design of an Iterative Method for Collaborative Resource Management using MAPPO and Federated Learning in 5G Networks by A.VenkataMahesh (2024) - The resource requirements of V2X communications are unique; however, general applications in 5G scenarios such as IoT or cross-domain networks are not discussed in this survey. Resource management is very critical in this kind of environment, considering QoS and other stringent performance requirements such as ultra-low latency, high throughput, and massive connectivity. Keywords: domain; iot; learning; management; method; model; networks; optimization; resource; rural; time; vol
• Parkinson's Disease Detection on Unbalanced Speech Data using Convolutional Neural Networks by Mrs. A. G. Phakatkar (2024) - Various machine learning techniques for PD speech feature classification were examined and compared using Multilayer Perceptron (MLP), KNN, SVM, Random Forest (RF), and Extreme Gradient Boosting (XGBooster) classifiers in [5]. A hybrid approach to Parkinson disease classification using speech signal: the combination of smote and random forests. Keywords: accuracy; analysis; cnn; dataset; disease; feature; ieee; layer; learning; machine; model; parkinson; smote; speech
• Image Classification with Hypertensive Angle Disease Detection with Geometric Local Derivative Pre-Processing by Anand Rajasekaran (2024) - Sample retinal image Glaucoma detection accuracy (%) ASM-HSML MFV-DBN CLAHE 500 96 94 91 1000 94.55 91.85 89.15 1500 91.35 89.15 88.55 2000 90.85 88.35 86.25 2500 89.35 87.15 85.45 3000 89 85 83.15 3500 88.45 84.35 82 4000 88 82.15 81.15 4500 87.35 81.55 80 500 87.15 80 79.55 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 2 (2025) 606 https://internationalpubls.com Figure 5 Accuracy of glaucoma detection compared to a sample retinal picture In accordance with the experimental sample retina images, which have been separated into four categories and categorized as being either diseased as well as healthy using a randomization individual Identification, Figure 5 above illustrates the correctness of ophthalmology detection. In the interest of recognizing ophthalmology, an evaluation of retinal images and optical cupping segment and classification methods was developed in [9]. Keywords: analysis; communications; detection; diagnosis; disease; feature; glaucoma; image; input; inter; issn; learning; nonlinear; ophthalmology; retina; step; vector; vol
• Learning Management in Increasing Students' Learning Motivation by Yuli Supriani (2024) - In essence, Learning management encompasses the coordination of teaching and learning activities, extending from the initial stages of planning and organization to execution, supervision, and assessment, all geared toward realizing educational aims (Hasbi, 2021). Learning management involves the systematic attainment of educational objectives within the classroom environment, wherein the teacher assumes the role of a facilitator to effectively oversee collaborative utilization of classroom resources. Keywords: activities; education; journal; learning; management; motivation; objectives; process; quality; research; students; teachers
• Developing Computational Thinking through Mathematics Learning in Indonesia: Scientific Mapping and Bibliometric Analysis by Ahmad Gufron (2024) - Therefore, this study aims to fill this gap by providing a comprehensive analysis of global trends in computational thinking research and assessing their suitability for adoption in the mathematics education system in Indonesia. By conducting a comprehensive study, this research seeks to explore strategies that have been used in various educational contexts to develop computational thinking skills among students. Keywords: analysis; education; learning; limitations; mathematics; problem; research; school; skills; students; study; thinking; thinking skills
• Machine Learning-Driven Cryptography Automating the Design of Robust Encryption Algorithms by Subhashini Peneti (2024) - Because machine learning algorithms can find hidden patterns in large datasets and evaluate them, they can find flaws in cryptographic systems that human designers might miss. To enhance key generation and encryption-decryption cycles, the authors suggest a hybrid model that combines machine learning algorithms with conventional cryptography techniques. Keywords: cryptography; encryption; key; learning; machine; quantum; security; systems; vol
• Enhancing the Medical Diagnosis System and Treatment by Counterfactual Diagnostic Algorithm by K. Rama Krishna (2024) - S and S+ represent counterfactual symptoms that are affirmatively demonstrated. To calculate these measures, they have introduced a new class of diagnostic models called twin diagnostic networks. Keywords: accuracy; algorithms; analysis; causal; diagnosis; disease; illnesses; learning; models; patient; symptoms
• Leveraging Flask API and Machine Learning to Forecast Multiple Diseases by K Venkateswara Rao (2024) - As fast and precise diagnosis is essential for successful treatment and positive patient outcomes, disease prediction is a vital responsibility in healthcare. Through the creation of a machine learning model for disease prediction and its integration into a Flask API, this work tries to address these issues. Keywords: dataset; disease; flask; issn; learning; liver; machine; model; prediction
• Energy-Efficient IoT Networks: Optimizing Resource Management through Machine Learning by Arulananth T S (2024) - Future developments will see the incorporation of federated learning, which lowers communication overhead and energy consumption by enabling devices to share models without centralizing data. The Gupta group (2021): The use of reinforcement learning to optimize energy consumption in IoT-enabled healthcare systems was examined by Gupta et al. Keywords: consumption; energy; internet; iot; learning; machine; networks; resource; things
• Blockchain-Based Drug Supply Chain Recommendation System (B-DSCRS) with Machine Learning for Supply Chain Management by F. Rahman (2024) - Researchers were able to examine these complex systems and the effects of different policy factors on the operational performance of these companies under varying degrees of uncertainty by applying a simulation-based logistics assessment framework (SLAF) to pharmaceutical supply chain networks worldwide [20]. 1. INTRODUCTION Suppliers and consumers are linked via supply chain management. Keywords: blockchain; chain; drug; learning; management; pharmaceutical; supply; supply chain; system
• Implementing Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for Risk Assessment of Drug Interactions by Ashu Nayak (2024) - The rising rates of drug interactions and adverse drug events, along with the prevalence of many chronic diseases in the elderly, make individuals and healthcare systems vulnerable to the devastating effects of polypharmacy and multi-morbidity [2]. 2: Overview of Adaptive Neuro-Fuzzy Inference System The input data includes drug interaction reports with dosage information, Age and comorbidities of patients, Drug metabolism, therapeutic class Contraindications, severity, and drug interactions. Keywords: anfis; assessment; ddi; drug; interactions; learning; medication; model; network; risk; system
• Cutting-Edge Deep Learning Strategies for Precise Ovarian Disease Detection: A Comprehensive Review by Soumya Koshy (2024) - Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), along with their specialized variations, have been utilized to tackle the specific difficulties presented by ovarian medical image segmentation. In this study, we evaluated several deep learning models, starting with the baseline U-Net and moving to more advanced architectures, including U-Net variants with ResNet and DenseNet backbones, CR- Unet, Ocys-Net, and an ensemble model. Keywords: analysis; detection; images; learning; machine; medical; model; net; segmentation
• WTBAN-CNN-TL: Wavelet Transform-Based Feature Extraction and Bonferroni Adjusted ANOVA-CNN with Transfer Learning for Lung X-Ray Image Classification by Kavitha S (2024) - This paper introduces a comprehensive approach aimed at refining the classification accuracy and efficiency of lung X-ray images through a synergy of wavelet transform-based feature extraction, Bonferroni adjusted ANOVA feature selection, and state-of-the-art deep learning methodologies. The proposed methodology integrates wavelet transform-based feature extraction and concatenation, Bonferroni adjusted ANOVA feature selection, and deep learning techniques for lung X-ray image classification. Keywords: anova; classification; cnn; feature; learning; lung; selection; wavelet
• Learning Technology as a Supporting Infrastructure for Learning in the 4.0 Era in the Department of Building Engineering Education, Faculty of Engineering, Manado State University by Djubir R.E. Kembuan (2024) - Student learning facilities have a direct effect on student learning outcomes. This implies that if there is an increase in student learning facilities, it will increase student learning outcomes. Keywords: analysis; commitment; dan; education; facilities; jakarta; learning; learning facilities; outcomes; regression; results; student; student learning; table; test
• A Novel CNN-RNN-LSTM Framework for Predictive Cardiovascular Diagnostics of Aortic Stenosis in a Large Scale 12-Lead ECG Dataset by Francis Densil Raj V (2024) - The study shows that wavelet decomposition is essential in analysing frequency components in preprocessed ECG signals. Using the Fourier Transform, we effectively decompose the time domain ECG signal into its constituent frequency components. Keywords: analysis; cnn; complex; ecg; electrocardiogram; frequency; hybrid; lead; learning; lstm; model; qrs; signals; stenosis
• Optimization in Neural Networks with Mathematics: Efficiency in Architectures of Deep Learning by Anandhavalli Muniasamy (2024) - A deep analysis of neural network optimization, including strategies related to efficiency, can be provided based on mathematical knowledge. In this paper the concepts of mathematical optimization methods are discussed that improves generalization, convergence speed, and model training. Keywords: convergence; descent; function; gradient; learning; loss; methods; networks; optimization
• Comparative Analysis of Parkinson's Disease Classification Using Deep Learning Approaches Enhanced with Optimization Techniques Versus Traditional Machine Learning Models by K. Manisekharan (2024) - The effectiveness of deep learning models can be further enhanced using optimization techniques like hyperparameter tuning, regularization, and gradient-based methods, which address challenges such as overfitting and improve generalization. Deep learning models often achieve superior performance compared to traditional machine learning models across metrics such as accuracy, precision, recall, F1-score, and AUC, especially when working with large and complex datasets. Keywords: analysis; disease; learning; machine; mdvp; models; parkinson; performance
• Reinforced Multi-Path Graph Attention Network (MPGA-RL-Net) for Adaptive Robotic Vision with Task-Specific Region Prioritization by B. Rama Subbaiah (2024) - Multi-scale attention models offer advantages in dynamic environments, with studies reporting a 12% increase in accuracy when attention is applied across multiple scales. No. 3s (2025) 287 https://internationalpubls.com × × ∈ ∈ ∈ ∈ ∈ ∈ Once multi-scale features are extracted from the MPFE module and fused through attention, the next step is to model spatial relationships between different regions using a Graph Convolutional Network (GCN). Keywords: attention; feature; focus; graph; learning; mpga; net; path; resolution; segmentation; vision
• Hybrid Model for Dissolved Oxygen Prediction Using Ensemble MINE-BISRU-Attention and LightGBM-BiSRU-Attention Approaches by Alla Rajendra (2024) - [1] Sana, M., et al., “A Hybrid SVM-ANN Model for Predicting Dissolved Oxygen in Aquaculture Systems,” Journal of Aquaculture Technology, 2021. [2] Cao, J., et al., “Improving Dissolved Oxygen Prediction Using Extreme Learning Machines in Aquaculture,” Environmental Modelling & Software, 2019. Keywords: aquaculture; attention; bisru; ensemble; learning; lightgbm; model
• Automatic Urban Change Detection using LANDSAT-8 Satellite Images and Deep Learning Techniques in Australian Capital Territory (ACT), Australia by Ninad More (2024) - The Field-based manually surveys are primally method of change detection but they are loaded with various serious drawbacks such as time-consuming process, require technical ability of human power for fieldwork, limitations of geographics area coverage as well as multi temporal based satellite images that provide high cost effective and effective approach to accurately monitoring various changes in the earth’s area [2] Zhuo Zheng, Unifying remote sensing change detection via deep probabilistic change models: From principles, models to applications, ISPRS, Volume 215, September 2024, Pages 239-255. Keywords: analysis; area; change; detection; images; learning; remote; satellite; sensing; svm; vector
• Influence of Xception and DenseNet121 Architectures for Plant Disease Detection by Sunil D. Kale (2024) - Keywords: Plant disease detection, Deep learning, Ensemble model, Xception, DenseNet121, Image augmentation, Precision agriculture. Deep learning, and particularly CNNs, represented a break through the niche of plant disease detection. Keywords: detection; disease; learning; model; performance; plant; techniques; training
• A Deep Learning Based Adaptive Model for Blocking Incoming Calls Based on the Caller's Voice Commands by Kalyani Ghuge (2024) - By leveraging advanced deep learning techniques, we have created a system that not only blocks unwanted calls but dynamically adapts to user preferences with remarkable precision. Supervised Learning Limitations: • Restricted generalizability • Dependency on extensive labeled datasets • Minimal adaptive capabilities • Challenges in real-time feature extraction and interpretation Deep Learning Innovations in Voice Analysis Architectural Advancements Contemporary research has witnessed transformative developments in voice analysis through sophisticated deep learning architectures: 1. Keywords: analysis; blocking; communication; learning; machine; model; privacy; research; system; techniques; voice
• Multi-Class Deep Learning-Based Enhanced Image Segmentation and Feature Extraction Technique for Early Classification of Skin Diseases by Ritika Sharma (2024) - In medical imaging, preprocessing also plays a vital role in enhancing the visibility of significant features in skin images for further analysis and processing, making it easier to classify using deep-learning-based models. This work aims to improve image segmentation and feature extraction techniques. Keywords: analysis; classification; dataset; detection; disease; edge; extraction; feature; image; learning; model; segmentation; skin
• The Impact of Psychological Capital on the Creative Capacity of Students in Project-Based Learning Courses at Universities in Vietnam by Ho Thi Hien (2024) - You and Kang (2014) suggest that positive emotions have a significant impact on enhancing student motivation. H4: Psychological capital positively influences student motivation in project-based learning modules at universities in Vietnam. 2.2.5. Keywords: adaptability; analysis; capacity; capital; learning; motivation; project; research; satisfaction; students; study; universities; vietnam
• Innovations in Computational Approaches for Nonlinear Problems and Complex System Simulations by Shritika Waykar, et al. (2023) - 10-11-2023 Abstract: Nonlinear problem solving and complex system simulation have become critical issues in many fields of science. Nonlinear issues and complex system simulations can benefit greatly from the combination of cutting-edge computational approaches with domain-specific expertise. Keywords: analysis; approaches; behaviours; complex; computing; interactions; learning; methods; modelling; models; nonlinear; simulations; systems; vol
• Creating and Verifying a Deep Learning-Powered Automatic Algorithm for Chest Radiographs to Identify Active Pulmonary Tuberculosis by Bollu Siva Keshava Rao (2024) - An equal number of normal CRs and TB CRs were randomly distributed across three datasets: one for internal validation, which aimed to check in-house performance; another for tuning, which aimed to optimise Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 The tagging and annotation of pictures for TB CRs was carried out by eight radiologists who were board-certified and had 7 to 14 years of experience. Keywords: analysis; crs; detection; dlad; figure; learning; performance; pulmonary; radiologists; tuberculosis
• AI/ML Based Detection of Unknown Compromises on ICT Devices by Manikrao Dhore (2024) - And this approach was employed to understand relation between attack specific features and how different algorithms respond to them helping in understanding at a more granular level. Because of these advantages, the anomaly-based detection technique is increasingly being mailto:manikrao.dhore@vit.edu mailto:3shivam50x20@gmail.com mailto:5nirajpatil1306@gmail.com Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 5s (2025) 278 https://internationalpubls.com used to detect and thwart network attacks. Keywords: approach; attack; dataset; detection; features; learning; machine; network
• Insect Identification System using Faster RCNN with ADAM optimizer Segmentation model by R. Padmavathi (2024) - However, the varied texture, tiny characteristics, and changeable habitat of insects make insect image identification a challenging image recognition task. Here, we looked at many approaches for developing insect identification models. Keywords: accuracy; adam; analysis; detection; feature; identification; image; inception; insect; learning; model; network; picture; rcnn; training; vol
• A Deep Learning Based Adaptive Model for Blocking Incoming Calls Based On The Caller's Voice Commands by Kalyani Ghuge (2024) - By leveraging advanced deep learning techniques, we have created a system that not only blocks unwanted calls but dynamically adapts to user preferences with remarkable precision. Supervised Learning Limitations: • Restricted generalizability • Dependency on extensive labeled datasets • Minimal adaptive capabilities • Challenges in real-time feature extraction and interpretation Deep Learning Innovations in Voice Analysis Architectural Advancements Contemporary research has witnessed transformative developments in voice analysis through sophisticated deep learning architectures: 1. Keywords: analysis; blocking; communication; issn; learning; machine; model; research; system; voice; vol
• Deep Reinforcement Learning for Traffic Flow Optimization in Urban Planning by Amar Bharatrao Deshmukh (2025) - This innovative method may solve the present mobility problems in cities and is an indication of great improvements in traffic management systems. The objectives of these projects are to make traffic control systems work more effectively be safer, and be better for the environment [4–7]. Keywords: agent; congestion; dql; learning; model; reinforcement; reward; system; testing; traffic; training; urban
• Exploring the Impact of AI-based Knowledge Management Tools in Higher Education Institutions by Haftom Gebregziabher (2025) - [2] discuss the profound impact of AI on higher education, exploring the relationship between AI tools and learning outcomes. Although the paper offers insights into how AI tools can transform educational practices, it lacks specific methodological details. Keywords: analysis; education; impact; km tools; learning; management; responses; student; study; tools
• Automated Phishing Detection Through URL Analysis and Machine Learning by Vijaykumar (2025) - Model Evaluation: Evaluate the performance of the model using key metrics like accuracy, precision, recall, and F1-score to ensure high reliability in detecting phishing URLs. Machine learning based phishing detection from URLs. Keywords: accuracy; classification; detection; forest; learning; machine; model; performance; phishing; urls
• MRI-Based Brain Tumor Detection Using Convolutional Neural Networks and Machine Learning Techniques by Vivek Agrawal (2025) - Brain tumor detection has turn out to be more correct in recent years due to the combination of system gaining knowledge of (ML) and convolutional neural network (CNN).This paper offers a focused analysis the use of A complete evaluate of CNN-ML methods on mind tumor detection for How an awful lot of ML-CNN-based strategies in identification Effective are most appropriate patterns We seek methods, statistics sorts, and business selections focusing constraints which are stated collectively This insight presents informed hints for algorithms and techniques to enhance brain tumor detection. Fully automatic model‐based segmentation and classification approach for MRI brain tumor using artificial neural networks. Keywords: analysis; brain; cnn; detection; learning; mri; strategies; techniques; tumor
• Cultivating Excellence: A Total Quality Management Approach to Enhancing Student Talent in Chinese Language and Literature by Ming Li (2025) - Figure 1: Research Framework Research Hypotheses H1: There is a relationship between university management factors and student talent quality training. H3: There is a relationship between teacher factors and student talent quality training. Keywords: analysis; chinese; development; education; factors; language; learning; literature; management; quality; student; student talent; talent; talent quality; talent training; teaching; training
• Mathematics Learning Innovation with Ethno-Based Sttep-W (Structured Think-Talk-Evaluate-Presentation-Write) Model: Efforts to Improve Students' Mathematical Connection Skills by Jaka Wijaya Kusuma (2025) - Analysis of students mathematical representation and connection on analytical geometry subject. As an interrelated science, students must have adequate mathematical connection skills to solve a mathematical problem. Keywords: concepts; connection; ethno; learning; learning model; mathematics; model; results; skills; sttep; students; talk; think
• Disease diagnosis in Cassava leaves using CNN design and ResNet algorithm by M L Sneha Snigdha (2025) - Materials and Proposed methods Dataset The dataset used for cassava disease detection consists of labelled photos of cassava leaves, divided into several disease classifications and healthy leaves. Because it can learn complex features and address fundamental deep learning issues like the vanishing gradient problem, the ResNet algorithm is unique in the field of cassava disease detection. Keywords: accuracy; cassava; conference; detection; disease; doi; learning; leaves; model; plant; resnet; vol
• Advancing Cancer Treatment Protocols through the Application of Machine Learning and Operational Research by Dharmendra Kumar Dubey (2025) - The results indicate that there is great potential to advance cancer treatment and enhance patient survival and quality of life by incorporating these strategies into clinical practice. In order to improve patient outcomes and resource utilisation, machine learning (ML) and operational research (OR) approaches are becoming more potent tools to improve the decision- making process in cancer treatment. Keywords: cancer; learning; machine; models; patient; regimens; research; therapy; treatment; vol
• Teaching and Learning Hausa Language Through Proverbs by Abdulkadir Abubakar Zailani (2025) - What do you think of teaching Hausa Hausa proverbs should be included in Hausa textbooks and Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 Hausa proverbs are highly effective in exerting social control. Keywords: hausa; learning; proverbs; students; teaching
• Human Gender Identification from Facial Images: A Deep Learning Approach by Ponukumati Jyothi (2025) - [10] J. Park, S. Kim, and M. Lee, Transformer-CNN hybrid architecture for facial gender recognition, IEEE Access, vol. 9, pp. Keywords: Gender Recognition, Deep Learning, EfficientNetB2, CNN-LSTM, MobileNetV2, Facial Analysis, Computer Vision, Pattern Recognition Introduction In computer vision, gender recognition from facial images is an important task which has a wide scope of applications in different fields such as security systems, human-computer interaction, demographic analysis, and personalized content recommendations. Keywords: accuracy; analysis; architecture; feature; gender; learning; models; recognition; vol
• Analysis of Ransomware Attack Detection Using Machine Learning Algorithms by B. M. Bandgar (2025) - This research explores machine learning models, including Random Forest, Gradient Boosting Machines (GBM), and Logistic Regression, to enhance ransomware attack detection. This research investigated the effectiveness of three machine learning models—Random Forest, Gradient Boosting Machines (GBM), and Logistic Regression—for ransomware attack detection. Keywords: accuracy; attacks; detection; forest; learning; machine; models; ransomware
• Optimal Congestion Control Mechanism For Intelligent Routing To Improve QoS Using Temporal Deep Learning by D. Kavitha (2025) - ML models can predict network congestion, adapt routing paths, and optimize data transmission, thereby minimizing packet loss and improving network efficiency [4]. Several studies have explored the application of ML in congestion control for MANETs. Keywords: congestion; control; learning; manets; model; network; routing
• Feature Fusion of Ensemble Deep Learning Models for Classification of Monkeypox Disease by Nidhi Chauhan (2025) - A comparison of feature fusion methods on MSLD dataset. A comparison of feature fusion methods on MSID dataset. Keywords: accuracy; analysis; classification; dataset; feature; figure; fusion; learning; methods; mobilenetv2; models; monkeypox; msld; performance
• Machine Learning Techniques for Breast Cancer Prediction: A Comprehensive Review on Techniques and Datasets by Archana Singh (2025) - Machine learning techniques have shown promise in revolutionizing breast cancer diagnosis. This review provides a unique and critical analysis of the machine learning techniques and data sources used in breast cancer diagnosis and highlights the need for further research in this area. Keywords: accuracy; algorithms; analysis; breast; breast cancer; cancer; dataset; diagnosis; images; learning; machine; models; wdbc
• Ensemble Learning based Cardiovascular Disease Prediction Combining with Predictive Analytics & Risk Stratification by S. Ramchandra Reddy (2025) - These models categorize patients based on HF risk to enable targeted interventions. Proposed Methodology The proposed methodology for HF prediction integrates predictive analytics with risk stratification to provide a comprehensive approach to identifying and managing HF risk. Keywords: accuracy; analysis; doi; failure; features; heart; learning; model; patient; prediction; risk; stratification; vol
• Empowering Students through a Self-Directed Learning Pedagogy in Mathematics Education by Madhav Prasad Poudel, Laxmi Sharma, Sarala Luitel, Maheshwor Pokhrel, Lekhnath Sharma, (2024) - Hence self-directed learning is process of meaningful learning and can be utilized as a pedagogy in mathematics learning. Due to those scenarios of teacher and students in mathematics class in context of Nepal, mathematics learning is not interesting and meaningful to the students. Keywords: approach; control; education; learners; learning; mathematics; model; motivation; process; school; sdl; self; students; teaching
• Glaucoma Detection using Machine Learning with Fundus Images by Tareek Pattewar (2025) - By effectively analysing structural features such as optic nerve cupping and RNFL thinning, the system bridges a significant gap in early glaucoma detection, a critical factor in preventing irreversible vision loss. This study underscores the potential of advanced machine learning techniques in revolutionizing glaucoma detection, enabling early intervention to prevent irreversible vision loss. Keywords: accuracy; analysis; cases; detection; fundus; glaucoma; images; learning; model; nerve; optic; precision; recall
• Teacher’s Pedagogical Literacy as a Foundation for Enhancing Students' Mathematical Literacy: A Systematic Literature Review and Bibliometric Analysis by Vita Istihapsari (2025) - [8] F. M. Machaba, “Pedagogical demands in mathematics and mathematical literacy: A case of mathematics and mathematical literacy teachers and facilitators,” Eurasia J. Math. By understanding the link between teachers' pedagogical literacy and students' mathematical performance, educators and policymakers can better address challenges in mathematics education and implement more effective strategies to enhance students' mathematical literacy Keywords: Teacher pedagogical literacy, mathematical literacy, teacher education, teaching strategies, professional development. Keywords: analysis; doi; educational; learning; literacy; mathematical; research; review; students; teachers; vol
• Development of a Learning Model Combining Learning Environment and Project-based Learning (LE-PROBALE Model) through Nila’s Edumath Interactive Mobile Learning by Nila Ubaidah (2025) - Utilize technology-based scaffolding through Nila’s Edumath Interactive Mobile Learning to support student learning. The model's structure, content, and implementation procedures align with current educational standards and effectively support student learning. Keywords: analysis; interactive; learning; learning model; literacy; model; nila; probale; probale model; students; technology
• Brain Tumor Detection using Resnet-50 Convolutional Neural Network with Softmax Activation Function by P Saravanan, S Saravanakumar (2025) - The Restnet-50 CNN method has shown higher accuracy than traditional methods in classifying brain tumor images. It demonstrates that the combination of Restnet-50 CNN can effectively capture complex shapes and features of brain tumor images. Keywords: accuracy; analysis; brain; classification; cnn; feature; images; issn; learning; method; segmentation; tumor; vol
• CVBN: Early Diagnosis of Breast Cancer Detection using Transfer Learning by M. Subha, P. Srimanchari (2025) - Keywords: Breast cancer, Bi-LSTM, Early detection, VGG19, Transfer learning I. Introduction There are a number of subtypes and characteristics associated with each of the two main forms of breast cancer, carcinoma and non-carcinoma. These results clearly indicate that CVBN is the most effective model across all datasets, excelling in all evaluated metrics and demonstrating its robustness in accurately detecting and classifying breast cancer images. Keywords: breast; breast cancer; cancer; cvbn; learning; lstm; model; transfer; vgg19
• The Impact of Student Behavior Characteristics on Academic Performance in Blended Learning Environments at Chinese Private Universities: A Structural Equation Analysis by Pengfei Cui, Bity Salwana Alias (2025) - Related research indicates that teacher-student interaction plays a very important role in improving student learning satisfaction (Cui, P., & Alias, B.S., 2024). Learning style is another important factor affecting BL learning outcomes. Keywords: analysis; behavior; blended; characteristics; communications; education; effect; factors; impact; issn; learning; model; performance; research; self; students; study; taa; vol
• An Efficient Counterfeit Medicine Classification Forecasting System: A Structure based Deep Learning Technique by Binitha S Thomson, W. Rose Varuna (2025) - DL based on structural approach to counterfeit medicine image detection make use of the intrinsic structural properties of graphs for distinguishing between authentic images and their forgery counterparts. Counterfeit medicine-based image prediction using chemical structure is based on the chemical structures of images to predict counterfeit medicine images. Keywords: analysis; chemical; classification; counterfeit; detection; drug; gnn; graph; image; learning; medicine; structure; vol
• AI Based Knowledge Representation on Spam Review Detection by Bottom -Up Learning Approach by Sripathi.S, Shanthi. P.M (2025) - No. 9s (2025) https://internationalpubls.com 1835 Our proposed methodology for spam review detection employs a comparative analysis of six distinct machine learning models, aiming to tackle the intricate nature of spam reviews by examining various algorithmic approaches. 18-03-2025 Abstract: A bottom-up learning approach for AI-based knowledge representation in spam review detection utilizes machine learning and natural language processing to uncover fraudulent reviews. Keywords: cvr; detection; learning; lstm; model; reviews; sgd; spam; star
• Human-AI Collaboration in Education: Designing Effective Teacher-AI Partnerships for Enhanced Learning by Muhammad Faez Nurazman Amrullah (2025) - Teacher-AI Collaboration Models Effective teacher-AI collaboration requires a clear understanding of how AI tools can complement and enhance traditional teaching practices (Zawacki-Richter et al., 2019). Data Extraction and Analysis The data extraction process involved summarizing key findings from selected studies, including the types of AI tools used, their applications in education, and the outcomes of teacher-AI collaborations (Zawacki-Richter et al., 2019). Keywords: learning
• Hybrid Feature Selection on Social Media Dataset for Sentiment Classification using Deep Learning Techniques by Sudeep K. Hase, Rashmi Soni (2025) - The above results indicate that hybrid feature selection techniques significantly enhance the performance of sentiment classification models. This study proposes a novel sentiment classification approach by combining hybrid feature selection methods with deep learning techniques. Keywords: classification; feature; feature selection; hybrid; learning; media; selection; sentiment; sentiment classification
• From Classroom to Career: Exploring the Synergy of Internships and Blended Learning in Enhancing Student Satisfaction in China by Li Jiaqi (2024) - Research suggests that well-designed blended learning environments, supported by competent instructors and quality digital resources, lead to higher student satisfaction. Integration of theories Integrating ELT and SDT offers a comprehensive framework for examining how internships and blended learning impact student satisfaction. Keywords: context; education; experiences; internships; learning; research; satisfaction; student; student satisfaction
• STEM in Mathematics Teaching and Learning: A Bibliometric Analysis by Wahyuni, Septia (2024) - Specifically, a comprehensive analysis of STEM education research in the Gulf Cooperation Council (GCC) countries emphasized the growing significance of STEM education in these countries and the necessity to tackle deficiencies and obstacles in STEM education research. Ultimately, the rise in the number of STEM publications in mathematics education signifies the increasing significance of STEM education, amplified financial resources and assistance, the embrace of digital technology, the establishment of national and global benchmarks, and the incorporation of STEM into educational curricula. Keywords: analysis; education; engineering; learning; mathematics; mathematics education; mathematics teaching; publications; research; science; stem; stem education; teaching; technology
• Review on Advancements and Challenges in Cervical Cancer Diagnosis by S. Athinarayanan (2025) - Feature transformation remains a leading approach to improve cervical cancer diagnostic accuracy. Cervical cancer classification using convolutional neural networks and extreme learning machines. Keywords: accuracy; analysis; cancer; cervical; classification; dataset; herlev; images; learning; methods; pap; sizes; smear
• CNN-Powered Driver Fatigue Detection: Evaluating InceptionV3, VGG19, and ResNet50V2 by S. Lakshmi devi, A. Vinoth (2025) - Driver drowsiness detection model using convolutional neural networks techniques for Android application. A CNN-based approach for driver drowsiness detection by real-time eye state identification. Keywords: accuracy; cnn; dataset; detection; driver; drowsiness; fatigue; learning; models; resnet50v2; time
• A Machine Learning Approach Using Feature Selection and Scaling with Hyper Parameter Tuning Method for Early Prediction of Diabetes by Jyoti N. Dangat (Shendage) (2025) - Diabetes prediction accuracy with and without pre-processing The performance evaluation and classification report with confusion matrix of the proposed machine learning approach using PIMA diabetes dataset is shown in the following table. Keywords: Diabetes Prediction, Feature Selection, Features Scaling, Hyper Parameter Tuning, Machine Learning Algorithms. Keywords: accuracy; algorithms; dataset; diabetes; feature; learning; machine; prediction; scaling; selection; tuning
• Development of Machine Learning based Hybrid Power Generation System for Rural Electrification by Vineeth Kumar P K (2025) - HPG system can be either using conventional sources of energy or RES, however, using RES is more sustainable approach. B. Gu et al., proposed a Fuzzy-based optimizing algorithm for HPG systems, which effectively handles non-linear and dynamic conditions. Keywords: algorithm; analysis; conditions; converter; doi; energy; figure; hpg; learning; linear; method; performance; power; regression; shading; solar; system; vol; wind
• Design of an Adaptive and Iterative Multi-Modal Transformer-Based Biometric Security Framework for Robust Authentication and Spoof Detection by Janardhan Komarolu, C.Nagaraju (2025) - No. 9s (2025) 2660 https://internationalpubls.com 1.2 Motivation & Contribution Deep learning has revolutionized biometric authentication speedily within a very short span of time, but, at the same time, it has opened a scope for adversarial attacks and synthetic identity attacks against the biometric system. By integrating adaptive biometric fusion, deepfake-resistant verification, and zero-trust-based continuous authentication, this work lays an advanced security paradigm against emerging cyber threats for biometric security systems. Keywords: analysis; attacks; authentication; biometric; deepfake; detection; fusion; learning; machine; method; model; multimodal; rate; risk; robustness; security; spoof; table; time; transformer
• Misalignment of Cross-Curricular Areas in Primary Education in Kosovo by Esad Kurejšepi (2025) - Keywords: Curriculum alignment, cross-curricular integration, Kosovo primary education, curriculum distribution, interdisciplinary learning. Prior to distribution, the survey instrument was reviewed by experts in curriculum studies to enhance its validity and reliability. Keywords: curriculum; education; kosovo; learning; subjects; teachers; teaching; time
• Impact of Artificial Intelligence on English Language Teaching by T. Murari (2025) - In the context of education, AI systems are designed to emulate human intelligence to support and enhance educational processes. Ethical Use of AI: AI systems should be designed and used ethically in English Language Teaching. Keywords: elt; english; language; learners; learning; teaching
• Machine Learning using Recursive Feature Elimination of Students’ Data in Singapore During Pre-Covid and Covid by Amna Saad, Cordelia Mason, Fareed Kaleem Khaiser (2025) - Limitations of the Case Study It is crucial to remember that the outcomes of employing machine learning models for prediction can differ based on the dataset's properties, including the quantity of predictors employed, and how the model's parameters are adjusted. RFE has been combined with several machine learning techniques for feature selection, such as support vector machines (SVM), decision trees, and random forests, and many more. Keywords: analysis; classification; covid; dataset; employability; feature; learning; machine; model
• Integrating Financial Education into Teaching Mathematics at the Secondary School through Experiential Activities – A Case Study in Vietnam by Nguyen Huu Hau (2025) - This paper explores key aspects of experiential learning theory, the integration of financial education into mathematics instruction, and the interplay between these two approaches. Keywords: Financial education, integration, function, math 8, math 9 1. Keywords: activities; analysis; curriculum; education; functions; knowledge; learning; literacy; mathematics; skills; students; task; world
• Integration of an Innovative Machine Learning Model with Water Quality Index for Industrial Applications by D. Dasu, P. Suresh Varma (2024) - The approach combines data preprocessing, feature selection, and probabilistic modelling to classify water quality into predefined categories, ensuring actionable insights for industrial applications. However, in many developing countries, water quality is deteriorating due to natural factors and human-induced pollution, posing serious challenges to sustainability and public health. Keywords: industry; learning; machine; parameters; quality; sugar; treatment; vol; wastewater; water; wqi
• Exploring Expectation, Students’ Needs, and Workplace Reality in English for Nurses Syllabus Design: A Needs Analysis in Politeknik Sandi Karsa by Yuriatson (2025) - By involving nursing students, nursing lecturers, English lecturers, and a nursing graduate working abroad, this study uses a mixed-method design to descriptively analyze student needs from quantitative data. Keywords: English for Nurses, Needs analysis, Task-based syllabus, Introduction The English language skills of nursing students have received increasing attention over time. Keywords: analysis; communication; english; importance; journal; language; learners; learning; needs; nurses; nursing; patient; skills; students; syllabus; teaching
• Mathematical Foundations of Explainable AI: A Framework based on Topological Data Analysis by Mintu Debnath (2025) - • Iris features are moderately skewed with light-tailed distributions. B. Explanation Configuration Parameters SHAP Settings • Explainer: KernelExplainer (for LR, SVM, RF), DeepExplainer (for NN) • Background samples: 100 • Perturbation samples: 500 • Link function: Identity • Summarization method: k-means LIME Settings • Perturbations per sample: 500 • Kernel width: 0.75 • Local surrogate: Ridge regression (L2) • Feature selection: Forward selection Permutation Feature Importance Settings • Number of repeats: 10 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s (2025) 3140 https://internationalpubls.com • Scoring metric: AUC (binary), Macro-F1 (multi-class) • Random seed: 42 C. Interpretability Metrics: Definitions and Implementation 4. Keywords: analysis; avg; communications; datasets; features; image; iris; issn; learning; mnist; model; persistence; shap; tda; topological; vol
• Intelligent Food Waste Management in Supply Chains using Deep Dense Networks and Image Processing by Nazia Mahammadrafiq Chilimattur (2025) - Deep Dense Networks (DDNs) and image recognition models offer innovative solutions to identify and reduce food waste; however, their applicability in food supply chain for waste detection or prediction remains in its infancy. Companies are increasingly integrating AI-driven technologies to reduce food waste; however, the integration or practical application of these innovations have frequently been presented in a superficial manner, with inadequate guidance on how to achieve sustainable results. Keywords: analysis; chain; doi; economy; food; food supply; food waste; learning; management; production; supply; supply chain; sustainability; technologies; vol; waste; waste management
• A Comparative Study on Prediction Efficiency in Lung Cancer Detection Using Machine Learning Models by D. Kumaresan, B. Santhosh Kumar (2025) - Examined the use of radiomic features in lung cancer prediction and the importance of selecting the most relevant variables. This analysis highlights that J48 and Random Forest are the most efficient models for lung cancer prediction, delivering the highest accuracy and lowest error metrics with minimal training time. Keywords: cancer; forest; j48; learning; lung; models; random; step
• Advanced Machine Learning Techniques for Accurate Network Traffic Classification models by N. Kannaiya Raja (2025) - This research aims to explore advanced machine learning techniques to improve the accuracy and efficiency of network traffic classification, leading to better resource utilization, congestion reduction, and improved decision-making in network administration. The research in this paper focuses on utilizing state-of- the-art machine learning approaches in satisfying the complexity in network traffic classification. Keywords: classification; communications; knn; learning; machine; models; network; network traffic; precision; regression; svm; traffic
• Designing of Neuromorphic VLSI Circuits based on Biological Neural Networks to Improve the Energy Efficiency and Performance of AI/ML Applications by S. China Venkateswarlu (2025) - https://doi.org/10.31838/IJCCTS/02.02.05 [233] Rao, M. K. M., Bharadwaj, P. V. N. S., Vali, S. M., Mahesh, N., & Sai, T. T. (2021). [227] Devi, K. G., Tejasree, K., Sri, M. K. S., & Pravallika, M. (2021). Keywords: 10s; analysis; antennas; applications; architecture; circuits; communication; computer; computer technologies; computing; design; energy; engineering; hardware; international; issn; journal; learning; national journal; networks; power; processing; propagation; systems; technologies; vlsi; vlsi circuits; wireless
• CNN and Transfer Learning Methods for Enhanced Dermatological Disease Detection by C.Venkataiah (2025) - In this manner, the strengths of ResNet-50 was leveraged and accomplished transfer learning for skin disease classification. No. 10s (2025) 576 https://internationalpubls.com 4.1 CNN Performance Analysis of Training Accuracy, Validation Accuracy, Test Accuracy, and Confusion Matrices In the Table 2, comparisons of Inception ResNet V2, ResNet50, for skin disease classification across tasks involving two are present. Keywords: accuracy; analysis; classification; cnn; deep; detection; disease; eczema; images; learning; model; skin; vol
• Evaluation Effectiveness of Brain Tumors Detection using Deep Learning: A Comparative Analysis by Asha P. Chaudhari, Dinesh Jain (2025) - In this paper we discuss about detail comparative analysis of DL model used for brain tumors detection. Nazir et al. conducted a comprehensive analysis of deep learning's application in brain tumor detection and classification between 2015 and 2020, highlighting the significant advancements in this field [1]. Keywords: accuracy; analysis; brain; classification; cnn; detection; images; learning; model; mri; tumors
• Role of Deep Learning in Protein Structure Prediction: Current Progress and Open Challenges by Bhushan Wakode, S P Deshpande (2025) - 01-03-2025 Abstract: Introduction: Protein structure prediction is a fundamental challenge in computational biology, with significant implications for drug discovery, disease modelling, and biotechnology. Recent advancements in machine learning and deep learning have revolutionized protein structure prediction. Keywords: amino; analysis; biorxiv; deep; interactions; learning; methods; modeling; models; prediction; protein; protein structure; sequence; structure; structure prediction; techniques; vol
• Factors Affecting Video Conferencing Technology Continuance Intention in Malaysia: A Proposed Conceptual Framework by Mohd Hafizul Ismail (2025) - By integrating these diverse but complementary perspectives, the proposed model aims to offer a more holistic and robust framework for understanding and predicting VCT continuance intention among HEIs lecturers, ultimately contributing to the improvement of online learning environments in Malaysian HEIs. By doing so, the study aims to provide a more holistic theoretical perspective on VCT continuance intention. Keywords: adoption; continuance; ecm; education; factors; intention; learning; lecturers; quality; technology; use; vct
• Learning Sources for Soccer Coaching: Internet-based Method by Fredrik Alfrets Makadada (2025) - The trainers who were the samples in this study were trainer trainers in the city of Yogyakarta. The development and progress of information technology will certainly influence trainer learning, which later will become a consideration for sports policy makers to understand that the Internet needs to be utilized optimally as a learning resource in improving training knowledge and skills. Keywords: coach; information; internet; knowledge; learning; resources; study; trainers; training; use
• The Flipped Classroom Model and the Impact of Perseverance on Developing Mathematics Self-Learning Competency in Vietnam by Vu Quoc Chung (2025) - To maximize the efficacy of FC, scholars recommend that instructors employ structured teaching strategies, develop engaging instructional materials, and implement continuous assessment mechanisms to support student learning (Talan & Gülseçen, 2019). While previous studies have primarily examined the impact of the FC model on student learning outcomes (Nguyen & Tran, 2023), the present study extends this focus by not only reaffirming the model’s feasibility but also proposing five key criteria for evaluating middle school students' self-learning competency (SLC). Keywords: 000; 10s; analysis; classroom; development; education; fc model; học; issn; learning; mathematics; model; research; self; students; study; vol
• Diabetic Retinopathy Deep Learning Model for Image Class Prediction by Modified Frog Leaping Optimized Features by Prasannta Tiwari, Pritaj Yadav (2025) - So image feature is counting of pixels range in [(1-B), (B+1 – 2B), ………(PB-M)], where M is max pixel limit and P is (M/B – 1). Experiment is perform on read medical images of DR images. Keywords: detection; drdloflm; feature; frog; image; learning; model; retinopathy; table; value; vol
• Enhancing the Precision of Skin Cancer Diagnosis by Leveraging Advanced Deep Learning Techniques Integrated with Optimization Strategies by S. Senthamizhselvi, R. Vijay Arumugam (2025) - Xie et al. introduced attention mechanisms in CNNs for skin cancer classification. Xie et al. introduced attention mechanisms in CNNs for skin cancer classification. Keywords: classification; cnn; images; learning; lesion; model; skin; vol
• Optimizing Solid Waste Classification with Deep Learning: A Study on the Effectiveness of Pretrained Models by Shruti Handa (2025) - Convolutional neural networks (CNNs), a specialized class of deep learning models, excel in processing image data, making them ideal for tasks like waste classification (Chen et al., 2021). However, prior research in waste classification has encountered notable challenges, such as the lack of real-world waste datasets, and inadequate model generalization across diverse waste categories. Keywords: accuracy; classification; dataset; densenet121; learning; models; performance; resnet50; training; trash; waste
• Comparative Study of Character Recognition for Handwritten Characters by Tarun Kumar (2025) - The outcomes of this study reveal that OCR models based on deep learning, particularly those utilizing CNN architectures, surpass traditional methods in the recognition of both printed and handwritten text. As advancements in deep learning continue, OCR models can be refined to achieve greater accuracy, improved generalization, and broader applicability across diverse fields. Keywords: 64x; accuracy; analysis; character; cnn; dataset; doi; feature; learning; model; ocr; recognition; svm; vol
• Prediction of Cardiovascular Disease using Machine Learning Approach by Rohit Kumar (2025) - https://doi.org/10.1088/1742- 6596/1817/1/012009 [12] H. Jindal, S. Agrawal, R. Khera, R. Jain, and P. Nagrath, Heart disease prediction using machine learning algorithms, in Proceedings of the IOP Conference Series: Materials Science and Engineering, vol. 1022, 2021. [14] A. Garg, B. Sharma, and R. Khan, Heart disease prediction using machine learning techniques, in Proceedings of the IOP Conference Series: Materials Science and Engineering, vol. 1022, 2021, Art. Keywords: accuracy; analysis; conference; dataset; disease; heart; hybrid; knn; learning; machine; model; prediction; proceedings; vol
• Digital Pedagogies for Inclusive Education: An Analysis of ICT Tools and Strategies by Palwinder Kaur (2025) - Grounded in a comprehensive review of existing ICT tools and strategies, this study offers an analytical framework to support educators and policymakers in leveraging digital tools for inclusive education. Digital pedagogies, encompassing a wide array of ICT tools and strategies, have emerged as a critical driver for promoting inclusive education globally. Keywords: education; ict; learners; learning; oer; platforms; technologies; tools
• Blended Learning Strategies to Promote Sustainable and Inclusive Education in Diverse Classrooms by Kiran (2025) - 05-02-2025 Abstract: Blended learning, the new pedagogical innovation integrating traditional face-to-face instruction with digital technologies, has emerged as a transformational strategy to support sustainable and inclusive education. However, blended learning emphasizes the role in creating inclusive practices, digital divides bridging, and overcoming participation barriers. Keywords: digital; education; learning; research; student; studies; technology; training
• Reimagining Teacher Education for Sustainable Development: A Novel Framework for Empowering Educators to Integrate Sdgs into National Curricula by Seema Rani (2025) - Introduction The integration of sustainability education into national curricula has become a global priority, reflecting the urgent need for transformative learning approaches in teacher education. However, while many countries have recognized the need for sustainability education, a significant gap exists in training educators to effectively implement SDG-aligned curricula (Tilbury, 2019). Keywords: education; learning; policy; research; sustainability; teacher; training
• Inclusive Pedagogy in Teacher Education: A Pathway to Sustainable Educational Progress by Anju Sharma (2025) - Inclusive teacher education: Pathways to a sustainable educational system. A mixed-methods approach will be employed, combining qualitative insights from interviews with teacher educators and quantitative analysis of student performance data collected from inclusive teacher education initiatives. Keywords: barriers; education; learning; pedagogy; research; studies; teacher; teaching
• cana-5148 by None (None) - Interpretation Recent research on visual arts in education identifies three notable themes that highlight the changing dynamics of arts education from 2015 to 2024. Recent studies on visual arts in education reveal three significant characteristics that underscore the evolving dynamics of arts education from 2015 to 2024. Keywords: arts; education; learning; research; students
• A Review - On Artificial Intelligence for Detecting and Preventing Non- Alcoholic Fatty Liver Disease by Sushma, Mandeep Kaur (2025) - A frequent medical illness that causes severe misery and mortality is fatty liver disease (FLD). In addition, B- ultrasound scans, a quick and affordable substitute for conventional ultrasound, are commonly used to both prevent and detect fatty liver disease in people. Keywords: accuracy; alcoholic; analysis; disease; doi; et al; fatty; fatty liver; images; learning; liver; liver disease; machine; nafld; techniques; ultrasound; vol
• “Advances in Deep Learning for Dental Disease Classification” by Ashwini Shinde (2025) - Role of Dental X-rays in Diagnosis Krithigaa and Lakshmia (2021) provide a survey on the segmentation of dental X-ray images for diagnosing dental caries. III Materials and Methods The methodology for dental disease classification using deep learning follows a structured process aimed at developing an effective model for analyzing dental X-ray images. Keywords: analysis; classification; doi; images; learning; model; ray; rays; training; vol
• Intelligent Leaf Disease Diagnosis: Fuzzy Logic and CNN-Based Multi-Class Detection by Preeti Yadav, Parvinder Singh (2025) - Classical techniques for plant diseases detection, based on visual inspection by experts, represent time- and labour-consuming approaches that in most cases lack the required precision for the identification of diseases at an early stage. These formulas highlight the sequence of operations that allow CNNs to perform image-based classification tasks such as plant disease detection. Keywords: analysis; classification; cnn; detection; disease; input; learning; logic; plant; severity
• Development of Deep Learning Framework for Multiclass Lung Infection Detection and Classification from Chest X-Ray Imaging with Real-Time Integration by M. D. Rokade (2025) - These networks excel in automatically learning hierarchical features from images, which makes them ideal for tasks such as detecting lung infections in X-ray images. This module is designed to extract relevant features from X-ray images that are indicative of different lung infections. Keywords: chest; classification; detection; images; learning; lung; model; pneumonia; ray; system
• Realistic Mathematics Education to Improve Student's Numeracy Literacy on Social Arithmetic Topics by Maharani Izzatin (2025) - 01-03-2025 Abstract: Numeracy literacy is one of the abilities that students need to have today. The results of data analysis with an independent sample t-test showed that students' numeracy literacy in learning with the RME model was better than that of students in learning with the conventional model. Keywords: education; learning; literacy; mathematics; numeracy; problems; rme; students; test
• The Use of Mathematical Working Space Strategies to Improve the Student Proof Process by Isnani, S.B. Waluya, Dwijanto, T.S.N. Asih (2025) - Each definition, theorem, lemma, and student proof problem on the worksheet students can interpret in their own language. The study program stipulates that students must be involved with mathematical proof to develop students abilities in the proof process Keywords: ability; analysis; doi; education; learning; material; mathematics; proof; results; students; test; vol; working
• Network Security by Modified Teacher Learning Optimized Features and Ensemble Model by Apoorva Patil (2024) - [7] Toldinas, J., Venckauskas, A., Damaevicius, R., Grigaliunas, N.M., Baranauskas, E.: A novel approach for network intrusion detection using multistage deep learning image recognition. 1 Block diagram of MTOFNS network intrusion detection. Keywords: accuracy; dataset; detection; feature; intrusion; learning; model; network; optimization; security; student; teacher; vol
• Architecting Reality: Fusing Virtual and Augmented Worlds in Home Design with Python & OpenCV by Madhulika Pardeshi, G. A. Patil (2025) - Later studies will look at enhancing the realism of experiences, improving computational efficiency, and broadening the capabilities of AI in virtual reality systems. The second module is a QR code scanning system, which enables instant data retrieval by recognizing and processing encoded information in real time, enhancing applications in retail, logistics, and security. Keywords: accuracy; analysis; applications; detection; ieee; learning; models; object; opencv; reality; system; time; vol; world
• Enhancing Resilience in Mathematics Education: Evaluating Chinese Targeted Intervention Strategies by Wang Xia, Amalia Bt Madihie (2025) - Scholars attribute the success of Chinese students to factors such as precise language, logic, Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 1883 https://internationalpubls.com discipline, and the teacher-student relationship (Peng & Cao, 2021). However, a gap exists in applying resilience to the context of mathematics education for Chinese students. Keywords: analysis; control; education; intervention; learning; mathematics; post; resilience; students; study; test; time
• Evaluation of Various Machine Learning Algorithms for Crime Prediction by Mankaranjit Singh, Kamal Malik (2025) - Thus, in the present scenario, machine learning algorithms are utilized in crime prediction models to analyse big data and find crime patterns based on various factors. In this section, related work is shown to understand how the researchers utilized the various machine learning algorithms to design crime prediction model in the literature. Keywords: algorithms; crime; dataset; learning; machine; model; prediction
• Hybrid Deep Learning for Advanced Fake News Detection using Explainable AI and Fast Text by Malatthi Sivasundaram (2025) - Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 2375 https://internationalpubls.com Hybrid Deep Learning for Advanced Fake News Detection using Explainable AI and Fast Text 1Malatthi Sivasundaram, 2V. Prakasham, 3R. Rathika, 4P. Subhashini, 5P. Karthi, 6A. Priyadharshini 1 Department of Computer Science and Engineering, K S R College of Engineering, Tiruchengode - 637215 2 Department of Computer Science and Engineering, K S R College of Engineering, Tiruchengode - 637215 3 Department of Computer Science and Engineering, KSR College of Engineering Tiruchengode – 637215 4 Department of Computer Science and Engineering, K S R Institute for Engineering and Technology, Tiruchengode – 637215 5 Department of Computer Science and Design, K S R College of Engineering, Tiruchengode – 637215 6 Department of Computer Science and Engineering, KSR College of Engineering Tiruchengode – 637215 Article History: Received: 12-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract: In order to enhance transparency and interpretability, the main goal of this project is to create a hybrid deep learning model for fake news detection by fusing Explainable AI (XAI) techniques like SHapley Additive exPlanations (SHAP) with XLNet, FastText, and CNN Algorithm. Group 2 Demonstrates more sophisticated methods that improve fake news detection by utilizing deep learning and hybrid AI models. Keywords: detection; hybrid; learning; model; news
• A Robust Deep Net Method for Retinal Image Segmentation by Sandhya Vats (2025) - Deep learning has proved very effective in image segmentation, with very robust applications of object, human or semantic segmentation to natural images [1]. A major strength of employing a deep network in medical image segmentation can be the adaptation of the technique to segment new data, obtained by a new acquisition system, by simply retuning the network. Keywords: blood; detection; images; learning; method; network; segmentation; vessel; vol
• Revolutionizing Education in the Post-Pandemic (Covid-19) Era: Leveraging Digital Learning to Bridge Disparities in Educational Opportunity and Equity, While Advancing the Sustainable Development Goals (SDGs) by Sandeep Kumar (2025) - This paper critically examines the transformative potential of digital learning in reshaping education post-pandemic, with a focus on its capacity to reduce disparities, promote inclusivity, and advance the United Nations Sustainable Development Goals (SDGs)— specifically SDG 4 (Quality Education), SDG 5 (Gender Equality), and SDG 10 (Reduced Inequalities). The acceleration of technology adoption underscored the critical role of digital learning in bridging these disparities, but it also called for a more robust infrastructure and policy interventions to ensure equal access for all learners (Zhao et al., 2021). Keywords: access; digital; education; journal; learning; pandemic; students; studies; technology
• Path and Cost Based GNN Model for Social Media Network Fraud Detection by M. Dhurga Devi (2024) - Traditional methods often fail to capture the intricate relationships among users, making fraud detection less effective. The findings suggest that GNNs offer a powerful and scalable solution for fraud detection in social media networks, enhancing security and reliability Keywords–- Social media, F1 Score, precision, recall I.INTRODUCTION Keywords: activities; analysis; detection; fraud; graph; interactions; learning; media; model; networks; users
• Automated Skin Cancer Detection: Leveraging Hyperband for Optimized Convolutional Neural Networks by Sakshi Gupta (2025) - Experimental Setup This section gives a general overview of the hardware and software employed to train and test the model, outlines the training and validation process, and gives a description of the evaluation measures employed to measure model performance. Although the process is computationally expensive, it uses all data points for training and validation, giving the best estimate of model performance. Keywords: accuracy; analysis; cancer; hyperband; hyperparameter; learning; model; optimization; performance; skin; training
• A Hybrid Framework for Personalized Digital Marketing: Merging Machine Learning with HCI Principles by Anant Manish Singh (2025) - Experimental deployment on an e-commerce platform showed a 20.4% increase in user engagement and a 14.7% boost in conversion rates, validated through A/B testing over a four-week period with 10,000 users. Keywords: data-driven marketing, human-computer interaction, user engagement, machine learning, conversion optimization, user-centric design, digital advertising 1. Keywords: design; engineering; framework; hci; learning; marketing; user
• Enhancing Brain Tumor Diagnosis with Optimized Deep Convolutional Transfer Learning Models by Jeevan Kumar (2025) - This study introduces an enhanced diagnostic approach leveraging optimized deep convolutional neural networks (CNNs) integrated with transfer learning to improve the accuracy and efficiency of brain tumor classification. [25] Narayanan Krishnasamy, Thangaraj Ponnusamy, “Deep learning-based robust hybrid approaches for brain tumor classification in magnetic resonance images”, IMA, 10 October 2023. Keywords: accuracy; analysis; brain; classification; cnn; deep; issn; learning; model; precision; recall; split; test; tumor
• Computer Vision-Based Deep Learning Techniques for Diabetic Retinopathy Assessment from Fundus Images by Munazzah Maryam (2025) - Diabetic retinal images are efficiently delivered. No. 3s (2025) 782 https://internationalpubls.com fig 4. 1: Architecture of the proposed methodology for diabetic retinopathy detection. Keywords: accuracy; analysis; detection; image; learning; model; retinopathy; stages; vol
• A Deep Learning-Driven Framework for Identifying Online Recruitment Scams by Syed Ishad Hussain (2025) - A major challenge in fraudulent job detection is the issue of class imbalance, where genuine job listings far outnumber fraudulent ones. Dr. Ruhiat Sultana3 1 Research Scholar, Dept. of Computer Science and Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana 2Assistant professor, Dept. of Computer Science and Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana 3Associate Professor, Dept. of Computer Science and Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana Article History: Received: 12-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract With the expansion of online recruitment platforms, the hiring process has become more efficient; however, this advancement has also led to a rise in fraudulent job postings, causing significant financial harm to job seekers. Keywords: accuracy; detection; job; learning; models; postings; recruitment; vol
• Framework for Early Detection of Lung Malignancies using Deep Learning Techniques by Saba Fatima, MD Asma, T.K. Shaik Shavali (2025) - In this study, many medical lung images were created using x-rays from people with lung cancer. This study contributes to the creation of a deep learning-based system for detecting and classifying lung cancer. Keywords: analysis; cancer; carcinoma; cell; classification; issn; learning; lung; model; vol
• Harnessing Deep Learning to Predict and Classify Knee Osteoarthritis from X-Ray imagery by Adeba Allauddin, S. Shanthi, M.Sambasivudu (2025) - The current state-of-the-art frameworks for knee osteoarthritis (OA) expectation and classification use profound learning methods to analyze knee X-ray pictures, advertising a more objective and productive elective to conventional manual evaluating strategies. Utilizing a combination of convolutional neural systems (CNNs), such as NASNet, and progressed division models like U-Net, the framework forms knee X-ray pictures to consequently distinguish and classify OA seriousness. Keywords: accuracy; analysis; classification; knee; learning; osteoarthritis; ray; vol
• Detecting Malevolent Software with Machine Learning Models by L.Mukund Sai, s.Rahamat Basha, M.Sambasivudu (2025) - Looking ahead, malware disclosure frameworks will advance into real-time, self-adaptive stages that encouraged particular progressed AI strategies. Our proposed approach leverages highlights recognized through memory examination to advance malware region frameworks. Keywords: analysis; classification; frameworks; learning; machine; malware; security; vol
• Revolutionizing Stroke Detection - Machine Learning Diagnostic Models Leveraging Neuroimages by Swetha Bikkumalla, D. Radha, M.Sambasivudu (2025) - This study evaluates the effectiveness of various deep learning algorithms for detecting brain strokes using medical imaging data. However, it is not specific for stroke detection, as abnormalities may be caused by other conditions, and it has limited ability to detect structural brain changes. Keywords: accuracy; analysis; brain; detection; learning; model; stroke; system
• Enhanced Handwritten Digit Recognition Using Artificial Neural Networks by Raghvendra Singh (2025) - In this paper, we introduce an enhanced approach to handwritten digit recognition by leveraging Artificial Neural Networks (ANNs). Traditional approaches to handwritten digit recognition often rely on handcrafted feature extraction methods combined with conventional classification algorithms. Keywords: accuracy; analysis; digit; digit recognition; learning; model; network; performance; recognition; techniques; training
• Optimization of CsPbI₃-Based All-Inorganic Perovskite Solar Cells Using Machine Learning: A Framework Supported by SCAPS-1D and SHAP by Manoj Kumar Nigam (2025) - Their implementation has led to enhancements in power conversion efficiency (PCE), open-circuit voltage (VOC), and fill factor (FF) metrics, thereby expanding the array of materials applicable in perovskite solar cells (PSCs). MATERIAL METHODOLOGY A. Configuration of the Device and Simulation The Solar Cell Capacitance Simulator, known as SCAPS-1D, has been instrumental in our development and testing of machine learning (ML) techniques aimed at enhancing perovskite solar cells. Keywords: analysis; cells; charge; defect; density; device; efficiency; electron; energy; etl; layer; learning; machine; materials; performance; perovskite; scaps-1d; thickness
• Detection of Birds Intrusion and Their Expulsion Using Iot and Deep Learning Techniques by N.Mohanapriya, L.Malathi, A.Thamaraiselvi (2025) - First, incorporating multi-sensory information such as motion and audio signals—can improve bird detection, particularly when sight is poor. Small mammals and bird detection using IoT devices. Keywords: 10s; analysis; bird; cnn; communications; detection; expulsion; intrusion; iot; issn; learning; mask; model; system; vol; yolov8
• Hybrid Deep Learning based Smart Attendance System with Robust Anti Spoofing Mechanism by Bisweswar Thakur, Rahul Chakre (2025) - Adapt traditional face recognition models (FaceNet, ArcFace) by modifying network layers to improve robustness Despite improvements in face recognition accuracy, the challenge of spoofing attacks persists. Keywords: accuracy; attendance; detection; doi; face; learning; liveness; model; recognition; spoofing; system; vol
• Enhance Deep Learning-Based Framworks dor Efficient Covid-19 and Pneumonia Detection by Jeevan Kumar (2025) - Section 2 provides an extensive discussion on deep learning models for Covid-19 and pneumonia prediction. Represents the results of training of deep learning model over 10, 30, and 50 epochs Parameters 10 Epochs 30 Epochs 50 Epochs Training Loss 0.25 0.15 0.10 Validation Loss 0.25 0.17 0.15 Training Accuracy 0.91 0.95 0.987 Validation Accuracy 0.93 0.94 0.97 4.3 Classification Report The table 3 appears to be an evaluation report for a classification model, possibly for predicting Covid, Normal, and Pneumonia classes. Keywords: 10s; analysis; attention; channel; covid-19; feature; images; issn; learning; map; model; pneumonia; training; vol
• Deep Learning for Real-Time Crack Detection in Concrete Using Electromagnetic Imaging by Isha Katariya (2024) - Deep learning models have seen massive successes in image classification, segmentation, anomaly detection tasks in multiple spheres. Convolutional neural networks (CNNs) have grown to be an effective way of automating the process of detecting the crack with the application of deep learning models. Keywords: analysis; concrete; crack; detection; imaging; learning; models; net; time; vol
• Understanding the Role of Grammar in Second Language Acquisition: Insights from Middle School Education by R. Sangeetha Chinna Rani, V. Chanthiramathi (2024) - similarity modulates effectiveness of second language grammar instruction. This abstract explores the intersection of grammar instruction and SLA, highlighting its impact on linguistic proficiency, cognitive development, and communicative competence. Keywords: acquisition; comprehension; grammar; instruction; language; learning; reading; sentence; students; teaching
• A Reflection on the Teaching and Learning of Mathematics by Rabah Belbaki, Ahmed Abbassi (2025) - Problem situations; 3. Problem situations lead students to self-construct new knowledge. Keywords: analysis; issn; knowledge; learning; mathematics; problem; product; situation; students; vol
• An Ensemble Machine Learning Approach for Denial-of-Service Detection in Cloud-of-Things Networks Using CICIoT2023 Dataset by Sahilpreet Singh, Arjan Singh, Vishal Goyal (2025) - An efficient IDS framework for DDoS attacks in SDN environment. [22] Ortega-Fernandez, I.; Sestelo, M.; Burguillo, J. C.; Piñón-Blanco, C. Network intrusion detection system for DDoS attacks in ICS using deep autoencoders. Keywords: accuracy; analysis; attacks; cloud; dataset; ddos; detection; dos; iot; learning; model
• Unmasking Online Aggression: Iterative Sentiment Analysis and Machine Learning for Enhanced Bully Tweet Detection by Dhanroop Mal Nagar (2025) - ● Recognition of Subtle Linguistic Cues: Sentiment analysis models recognize nuanced linguistic cues and emotional valence to differentiate general negative expressions from targeted aggression or harassment, vital due to cyberbullying's contextual complexities and indirect language that traditional methods might miss (Salawu et al., 2017). Narpat Singh Shekhawat Assistant Professor, CSE Dept., Engineering College Bikaner narpatsingh67@gmail.com Pratap Singh Barth Assistant Professor, CSE Dept., Engineering College Bikaner pratapcharan1985@gmail.com Article History: Received: 19-05-2025 Revised: 24-06-2025 Accepted: 15-07-2025 Abstract: This research paper details the development and iterative evaluation of various machine learning models for sentiment analysis specifically applied to the detection of bully tweets. Keywords: analysis; cyberbullying; detection; learning; machine; models; sentiment
• Artificial Intelligence based Automated Suspicious Activity Detection for Smart Surveillance Systems by Cijin K. Paul (2025) - This has led to the integration of Artificial Intelligence (AI) and computer vision technologies into video surveillance systems [9] R. Ravindran and P. Sankaranarayanan, “A survey of video surveillance systems: Challenges, trends, and future directions,” Journal of Signal Processing Systems, vol. 91, no. 8, pp. Keywords: accuracy; analysis; detection; learning; model; surveillance; system; video; vol
• Underwater Image Quality Enhancement and Object Detection using Deep Learning Techniques by Prashali Ramesh Kamble (2025) - Review on deep learning technique for underwater object detection. 26-10-2025 Abstract: Underwater images often suffer from poor visibility, low contrast, and color distortions due to light absorption and scattering, making object detection a challenging task. Keywords: detection; enhancement; image; learning; model; object; underwater
• Optimized Deep Transfer Learning Framework for Accurate Liver Tumor Classification by Amjed Khan Bhatti, Deepak Chandra Uprety (2025) - Deep learning models, especially convolutional neural networks (CNNs) [2] F. T. Al-Dhief, M. A. Mohd, and S. A. Abbas, “Transfer learning-based liver cancer detection using deep CNN models,” Computers in Biology and Medicine, vol. Keywords: accuracy; classification; dataset; image; learning; liver; model; performance; transfer; vol
• Breast Mammogram Classification using Deep Learning by Saurabh Sharma, Jasmeen Gill (2025) - ersaurabh55@gmail.com1 , er.jasmeengill@gmail.com2 Article History: Received:04/05/2025 Revised:03/06/2025 Accepted:05/07/2025 Abstract: Breast cancer remains the most common cancer among women worldwide. On average, a woman somewhere in the world is diagnosed with breast cancer every 14 seconds [6]. Keywords: accuracy; analysis; article; attention; breast; breast cancer; cancer; classification; cnn; detection; images; layer; learning; models
• A Hybrid Machine Learning Approach Integrating PCA for Prediction of Epileptic and Psychogenic Seizures by Priynaka Singh, Divyarth Rai (2025) - [41] T. Chen et al., Machine learning classification of epileptic and psychogenic seizures using EEG spectral features, Clinical Neurophysiology, vol. 132, no. 5, pp. [43] J. Pereira et al., Multi-domain feature ensemble for automated PNES detection: A large- scale validation study, Epilepsia, vol. Keywords: analysis; classification; eeg; ensemble; features; hybrid; learning; machine; pca; seizure; vol
• Real-Time Anomaly Detection in Video Surveillance: A Mathematical Modeling and Nonlinear Analysis Perspective with MobileNet and Bi-LSTM by Deepak Mane (2024) - 1dtmane@gmail.com 2sheetal.phatangare@vit.edu 3siddhant.nawale20@vit.edu 4siddhesh.wani20@vit.edu 5varun.gujrathi20@vit.edu 6vaishnav.loya20@vit.edu Article History: Received: 18-03-2024 Revised: 10-05-2024 Accepted: 26-05-2024 Abstract: For the main purpose of security and safety, video surveillance systems are everywhere and their need for presence is at the top. Processing and monitoring large data of video surveillance systems is a challenging and time-consuming process manually. Keywords: anomaly; dataset; detection; learning; lstm; mobilenet; model; paper; surveillance; system; time; video
• Nonlinear Analysis in Skin Cancer Detection: Customized Convolutional Neural Networks Approach by Deepak Mane (2024) - Here is an overview of the MobileNet-based model: (i) MobileNet Feature Extractor: The MobileNet design is employed to extract relevant features from skin cancer images. The primary objective is to design, develop, and rigorously evaluate a CNN-based model capable of accurately detecting skin cancer lesions. Keywords: accuracy; analysis; cancer; classification; cnn; dataset; detection; images; layers; learning; mobilenet; model; skin; skin cancer; system; training; validation
• Functional Analysis and statistical Mechanics for exploring the Potential of Smart Glasses: An Assessment of Visually Impaired Individuals by Shraddha Gugulothu (2024) - Various technologies employing computer vision and machine learning techniques have been used in recent years to produce smart glass systems for the visually impaired. In recent years, numerous ways employing computer vision and machine learning techniques have been used to construct smart glass systems for the visually handicapped. Keywords: accuracy; analysis; detection; device; glasses; individuals; issn; learning; models; object; people; recognition; system; time; user; vision; vol; work; 𝑃(𝑈
• Embedding Hybrid Evolutionary Approach for Learning-to-Rank Computation for the Selection of Features Using Machine Learning by Sushilkumar Chavhan (2024) - 2.Literature Review The majority of feature selection models that include learning to rank are employed as an effective means of managing large dimensions with the goal of gathering the ideal subset that offers the right characteristics. A systematic study of feature selection methods for learning to rank algorithms. Keywords: algorithm; analysis; feature; learning; model; ndcg@10; performance; rank; ranking; results; selection; subset; vol
• Mathematical Analysis of Existing Techniques for Ethereum Smart Contract Vulnerability Detection by Saltanat Mohammed Abdullah Shaikh (2024) - The detection of smart contract vulnerabilities in Ethereum presents characteristic differences in comparison with this software security analysis. The results presented in the table and figures have shown a better performance in detecting Ethereum smart contract vulnerabilities compared to the previous studies. Keywords: analysis; blockchain; contracts; detection; ethereum; execution; learning; number; rate; security; vulnerability
• Flowers Images Classification with Deep Learning: A Review by Asia Kamal Mustfa (2024) - The paper does not provide a detailed analysis of the limitations or potential drawbacks of the proposed transfer learning-based method for flower image classification. Conclusion This paper provides a comprehensive summary of the most recent advancements in data, machine learning and deep learning algorithms are utilized for flowers image classification. Keywords: accuracy; classification; dataset; deep; flower; flower classification; images; learning; literature; machine; model; public; recognition; vol
• Revolutionising Ai Deployment: Survey On Hardware Acceleration for Machine Learning Optimisation and Resilience by G. Pooja (2024) - The studies demonstrate the interpretation of this error tolerance into realistic illness tolerance for hardware neural network accelerators. BenchNN: On the broad potential application scope of hardware neural network accelerators. Keywords: acceleration; accelerators; analysis; design; fpgas; hardware; ieee; learning; networks; neural; performance; ref; research

• Prediction of Exchange Rates using Neural Networks and Performance by Friedman’s Test by Ashwini (2024) - The results shows FFNN model has better model than ARIMA model. Therefore ARIMA model moderately performs better than FFNN model. Keywords: arima; exchange; ffnn; forecasting; model; networks; rates; sample; usd
• Optimizing Advertising and Pricing for Perishable Inventory with Freshness-Related Demand in a Hybrid Partial Prepayment and Trade Credit Supply Chain by T.Vanjikkodi (2024) - As a result, the following differential equation is used to represent the inventory system at any given time t ( ) ( ) ( )2 2 d 1 1 , t t t 1 dI t m t I t A a bp dt m t m  −  + = − −    + In T t m       = − − − − + + −      (18) Keywords: bp t; cost; d d; d t; demand; inventory; m t; model; p t; payment; t t; time; − −
• Integration of Hybrid ARIMA Artificial Neural Networks for Accurate Platinum Price Prediction by Gurmeet Singh (2024) - Over all Hybrid model performs better than FFNN and ARIMA model. Objectives: The study aims to increase the accuracy of platinum price forecasts through the use of hybrid models, ANNs, and ARIMA (Auto Regressive Integrated Moving Average) techniques. Keywords: arima; forecasting; hybrid; layer; model; network; platinum; series; table; time
• Humanitarian Food Logistics: An Inventory Model for World Food Program (WFP) Operations in Boko Haram-Controlled Areas by Buba M.T. Hambagda (2024) - Inventory relief chain model with deterioration and disposal of relief commodity. Non-instantaneous deteriorating items inventory models with fixed lifetime products under hybrid partial prepayment and trade credit in supply chain. Keywords: cost; demand; inventory; model; rate
• Adversarial Training for Robust Natural Language Processing: A Focus on Sentiment Analysis and Machine Translation by B Gomathy (2024) - 08-08-2024 Abstract: Adversarial training has emerged as a powerful technique to improve the reliability of natural language processing (NLP) designs, especially sentiment analysis and machine translation. In the context of machine translation, adversarial training contributes to the development of models that can handle diverse linguistic structures and idiomatic expressions, which are often sources of errors in traditional models. Keywords: analysis; machine; model; robustness; sentiment; training; translation
• Enhanced Lung Cancer Detection via Modified Fuzzy Analytic Hierarchy Process and FuzSquResMobileNet by A. Aruna (2024) - This output layer is probably a representation of class probabilities in the framework of lung cancer detection, enabling to classify lung cancer or other pertinent diagnostic results. 2. Literature Survey: “Some of the recent study related to lung cancer detection were reviewed in this section” Khalil, et al., (2020) Keywords: algorithm; analysis; cancer; cancer detection; cnn; communications; detection; features; image; issn; layer; lung; lung cancer; model; number; optimization; vol
• Investigating The Impact of Inflation on Inventory Systems: Time-Dependent Quadratic Demand, Time-Variable Deterioration, and Shortage by Renu Gautam (2024) - In inventory models that account for shortages, the typical assumption is that unmet demand is either entirely lost or fully backlogged. Inventory model for deteriorating items with the effect of inflation. Keywords: cost; demand; inflation; inventory; model; time
• Analyzing SBI Share Price Volatility: A Novel Mathematical Exploration with the Markovian Model by A. Manickam (2024) - Stock market prediction is an important aspect of finance. In the past, several researches have been conducted, relating to stock market prediction throughout the world in several stock exchanges from the 1990s. Keywords: analysis; market; markov; model; price; probability; sbi; share; state; stock
• QSPR Analysis of Eye Conjunctivitis Drops Using Regression Model via Degree Based Topological Indices by Greeta .T (2024) - These studies collectively demonstrate the utility of topological indices and QSPR modelling in pharmaceutical research for predicting molecular properties and understanding drug behavior. 18-09-2024 Abstract: Introduction: Topological indices (TIs) are numerical values derived from the structural graph of a molecule, vital in cheminformatics for predicting various properties. Keywords: analysis; degree; drugs; eye; index; indices; model; properties; regression; table; topological; values
• Cross-Language Information Retrieval for Poetry Form of Literature-Based on Machine Transliteration using Modified Cosine Similarity Algorithm by Ranjana S. Jadhav (2024) - al proposed CCNN based models for pattern classification in which deep learning based models have used for extracting hidden features. In this section we have discussed existing machine transcription models as grapheme based, phoneme based, Hybrid transcription and combined transcription methods. Keywords: analysis; basis; chinese; english; graphemes; indian; information; korean; language; machine; method; model; objective; probability; processing; system; transcription; vol; word
• Analysis and Simulation of Misinformation Spread in Social Networks: A Hybrid Stochastic-Deterministic Approach with NEAB Model by Ghada A. Ahmed (2024) - The results highlight the critical role that the transmission rate plays in determining the speed and extent of misinformation spread. This demonstrates that the NEAB model successfully captures the essential phases of misinformation spread: initial exposure, a sharp rise in infection, and eventual recovery as individuals cease to disseminate false information Keywords: analysis; individuals; misinformation; model; neab; network; rate; recovery; spread; time
• A Two-Phase Methodology leveraging X-DenseNet for Multi-Organ Segmentation in Abdominal CT Scans by Harinder Kaur (2024) - 𝑾𝟏 ⃗⃗ ⃗⃗ ⃗⃗ = 𝑭𝜶⃗⃗ ⃗⃗ ⃗ 𝑭𝑩𝒆𝒔𝒕⃗⃗ ⃗⃗ ⃗⃗ ⃗⃗ ⃗⃗ ⃗⃗ (15) 𝑾𝟐 ⃗⃗ ⃗⃗ ⃗⃗ = 𝑭𝜷⃗⃗ ⃗⃗ ⃗ 𝑭𝑩𝒆𝒔𝒕⃗⃗ ⃗⃗ ⃗⃗ ⃗⃗ ⃗⃗ ⃗⃗ (16) 𝑾𝟑 ⃗⃗ ⃗⃗ ⃗⃗ = 𝑭𝜹⃗⃗⃗⃗ ⃗ 𝑭𝑩𝒆𝒔𝒕⃗⃗ ⃗⃗ ⃗⃗ ⃗⃗ ⃗⃗ ⃗⃗ (17) �⃗⃗� (𝒕 + 𝟏) = [28] H. Kakeya, T. Okada, and Y. Oshiro, “3D U-JAPA-Net : Mixture of Convolutional Networks for Abdominal Multi-organ CT Segmentation,” vol. 1, pp. Keywords: aorta; approach; architecture; dice; doi; image; issn; liver; model; net; organ; score; segmentation; spleen; study; vol; ⃗⃗ ⃗⃗; ⃗⃗⃗⃗
• VMCNN: Integrating Vedic Mathematics for Enhanced Convolutional Neural Network Performance in Image Classification Tasks by Geetanjali Kale (Rao) (2024) - [21, 22, 23] classified satellite images using deep features from CNN models, demonstrating CNNs' utility in environmental monitoring. [22] Özbay, E., Yıldırım, M. Classification of satellite images for ecology management using deep features obtained from convolutional neural network models. Keywords: accuracy; analysis; classification; cnn; cnns; efficiency; image; layers; mathematics; model; network; operations; optimization; performance; sutra; vedic; vmcnn
• A Nonlinear Analysis of Carbon Pricing Mechanisms: Comparing the Economic Impacts of Carbon Tax and Emissions Trading Schemes in Developing Economies by Tianqi Xiong (2024) - Carbon pricing involves assigning a cost to carbon emissions. The former imposes a fixed cost on carbon emissions directly whereas the latter establishes a market for trading emission permits. Keywords: analysis; carbon; carbon pricing; carbon tax; economic; economies; emissions; environmental; ets; growth; impact; issn; model; nations; policy; pricing; reduction; studies; tax; vol
• A Comparative Analysis of Memory Models: SC, TSO, and ARM in Concurrent Programming by Mohammed H. Abdulwahhab (2024) - This paper presents a practical comparison of SC, TSO, and ARM memory models. The herd tool was employed to simulate memory model behavior. Keywords: arm; event; figure; litmus; memory; model; read; relation; test; tso; write
• Statistical Model Comparison for the National Stock Exchange (NSE) Stock Price Prediction by Prachi Gupta (2024) - The ARIMAX model is recommended for stock price prediction of TATA STEEL . The PROPHET is recommended for stock price prediction of SUNPHARMA. Keywords: arimax; issn; mae; model; price; rmse; stock; vol
• Design of an Efficient QOS Aware Trust-Based Security Model with Bioinspired Sidechains for Healthcare Deployments by Smruti P. Patil (2024) - These enhancements demonstrate the efficacy and efficiency of our healthcare blockchain deployment models. This PDR is increased due to the use of consensus models with low complexity and sidechaining operations. Keywords: blockchain; delay; healthcare; miner; model; nodes; performance; qos; scenarios; security; trust; vol
• Efficient Algorithms for Vehicle Plate Detection in Dynamic Environments by Meriga Kiran Kumar (2024) - This is why some studies advocate for the use of image-to- image translation methods to generate authentic license images. Different studies informed the development of this system, which goes by several other names in the automotive industry: vehicle license plate recognition (VNPR), automatic license plate recognition (ALPR), driver's license (LPR), driver's license certificate (CPR), and license reader (CPR)[10][12]. Keywords: analysis; communications; detection; image; issn; license; license plate; model; number; plate; recognition; system; text; use; vehicle; vol
• Development of Opto-Electronic Free Space Optics Rain Attenuation Mathematical Model with Optisystem for Topological Optical link Analysis by S. Selva Nidhyananthan, et al. (2023) - The real-time rain data for various districts in Tamil Nadu is collected and rain attenuation is calculated. [13] Samir A. Al-Gailani, Abu Bakar Mohammad, Usman U. Sheikh, Redhwan Q. Shaddad, Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 30 No. 2 (2023) 23 https://internationalpubls.com Determination of rain attenuation parameters for free space optical link in tropical rain, Optik, Volume 125, Issue 4, 2014, pp. Keywords: analysis; attenuation; ber; communication; factor; fso; model; performance; rain
• Quantitative Analysis of Tourism Dynamics in the Himalayas: Dual Perspective Study by Stanzin Padma (2024) - The findings reveal significant determinants of local residents' support for tourism development and factors influencing tourists' intention to revisit. o What are the key opportunities for tourism development in Ladakh? Keywords: analysis; challenges; destination; development; et al; factor; hypothesis; impact; ladakh; model; residents; satisfaction; study; tourism; tourism development; tourists
• Servo System Design for Precise Fin Tip Control in Launch Vehicles Using Electromechanical Actuators by Albert John Varghese (2024) - [6] The Fin Tip Control (FTC) and servo system control for the launch vehicle provides closed-loop position control for roll stabilization during the FTC phase. Keyword: FTC system; electromechanical actuator; Servo system; Launch Vehicle; PID controller; Pulse Width Modulator; compensator. Keywords: analysis; control; ftc; linear; loop; model; motor; performance; system; vol
• Design of an Efficient Model for Microplastic Removal in Wastewater using Advanced Filtration, Nanotechnology, and Bioremediation by P. Pande (2024) - [3] further explored the optimization of wastewater treatment processes, emphasizing the importance of advanced control and optimization techniques. [14] in developing control and monitoring systems for wastewater treatment processes align with the proposed model’s goal of achieving high efficiency and selectivity in microplastic removal. Keywords: adsorption; analysis; efficiency; microplastics; model; process; removal; treatment; vol; wastewater; wastewater treatment
• A Portable Server-Based Analysis of One or More Queuing Models by Sudhakar Jyothula (2024) - The model proposed to be used for QoS analysis is represented by a Poisson appearance process with boundary λ and administration time given by hyper-outstanding dissemination with r phases. 2 shows the recurrence dispersion of the mimicked between arrival times. Keywords: administration; analysis; arrival; client; distribution; flow; help; information; input; model; queuing; server; system; time
• Analyzing the Dynamics of HIV/AIDS Phobia with Stability and Awareness Strategies by Naresh Kumar Jothi (2024) - HIV phobia is an extreme fear of contracting HIV. especially the anxiety of getting infected with the virus, even if your risk is relatively minimal. =Not proper counselling about HIV and social phobia ϖ4=The rate of patient’s relief from HIV phobia and their lifetime extend ϖ5=The rate of patient’s not relieved from HIV phobia and their lifetime is easily reduced. Keywords: aids; hiv; model; phobia
• Distance-Based Robust Fuzzy Topological Mathematical Modelling for Spider Networks in Edge Detection Techniques by E. Jayanthi (2024) - Results: In this paper, we provide analytical formulas for the Szeged index, edge Szeged index, edge vertex Szeged index, and PI index of spider networks and Augmented spider networks. Keywords: Distance, topological indices, Szeged index, edge Szeged index, edge vertex Szeged index, spider, edge detection and PI index. Keywords: edge; graph; index; indices; model; networks; spider; topological; vertices
• A Type 2 Fuzzy Logic Model to Predict the Force During the Turning Process by Kumar Devapogu (2025) - Figure 6 IT2FLS Performance for Ra Values Using Eight Rules 4. Two dial gauges, one measuring cutting force and the other the Ra value, were used in this experiment. Keywords: cutting; figure; force; gmm; it2fls; logic; model; process; roughness; surface; turning
• Optimized Vehicle Recovery: Leveraging AI and CCTV for Effective Tracking by Priya R. L (2025) - 4.3 Feature Extraction Module The cropped cars and number plates are sent to extract the features of the car such as car model, colour, texture and number plate. This ensures good model training for predicting car models. Keywords: analysis; camera; car; cctv; detection; figure; frame; image; model; module; object; system; tracking
• Unleashing Customization in GANs through Delineation guided Image Synthesis by M. L. Dhore (2025) - Looking ahead, future research will aim to tackle the identified limitations by investigating more efficient model architectures, enhancing the stability of GAN training, and increasing the diversity of generated images. CartoonGAN transforms real images into visually appealing cartoons, addressing the unique challenges of cartoon characteristics, such as edge sharpness and shading. Keywords: analysis; computer; gan; gans; generation; image; input; loss; model; network; sketch; sketches; user; vol
• Spatial Moving Average Polynomial Model on Irregular Lattice and its Full-Likelihood Based Implementation by Lidia Khonglam (2025) - No. 6s (2025) 352 https://internationalpubls.com Fig 6: Residuals plot under linear models, first order SMA, and SMA polynomial of second order Comparison of results: The simulated data generated is further analyzed under the linear models and first order SMA, and its results are presented in Table 2. 25.417 25.053 AIC 1832.099 1667.936 1646.873 Table 3: Moran’s I statistic of the residual with its p-values under the Linear model, first order SMA and second order SMA polynomial Moran’s I statistic of the residuals Linear model First order SMA Second order SMA polynomial First lag order (p-value) 0.550 (<0.05) 0.103 (0.004) 0.067 (0.102) Keywords: confidence; dependence; likelihood; model; order; polynomial; sma
• Inventory Optimization with Ramp-Type Demand, Time-Dependent Holding Costs, and Discounted Backorders under Inflation by Ekta Chauhan (2025) - [7] was the first to investigate inventory models for scenarios with an initial increase in demand, followed by a constant demand rate. [19] proposed inventory model with ramp-type demand and price discount on back order for deteriorating items under partial backlogging. Keywords: cost; demand; inventory; model; time
• The Role of Internationalization and Innovation in Enhancing Organizational Performance: Evidence from SMEs in Wuhan, China by Guo Chen (2025) - Product, process, and organizational innovation: Drivers, complementarity, and productivity effects. Process innovation, which focuses on improving operational methodologies, helps streamline workflows, reduce costs, and improve product quality (Trott & Hartmann, 2009; Lichtenthaler, 2024). Keywords: analysis; business; firms; innovation; internationalization; journal; knowledge; management; model; performance; research; smes; study
• Exploring the Impact of Job Satisfaction on Educator Performance in Private Universities in Anhui, China by Wang Li (2025) - The relationship between the working environment and job satisfaction was found to be significant, with a positive coefficient of 0.407, indicating that an improved working environment is associated with higher job satisfaction. The role of working conditions in employee job satisfaction: Evidence from the Australian Workplace Relations Survey. Keywords: education; employee; environment; job performance; job satisfaction; journal; management; model; performance; research; work; working; workload
• Enhancing Sales Performance in Henan’s Media Industry through the Synergy of Digital Marketing and AI by Zhao Weiguang (2025) - The transformative potential of digital marketing technologies is further supported by Banon, Alamsjah, and Elidjen (2021), who emphasized that digital marketing and AI talents can significantly enhance business performance. The research explores three main areas: the impact of digital marketing and AI on sales performance, employee perceptions of these technologies, and the interaction between digital marketing and AI in enhancing sales outcomes. Keywords: analysis; digital; industry; journal; marketing; media; model; performance; research; sales; sales performance; strategies
• Modeling Infectious Disease Spread: Differential Equations in Population Dynamics and Epidemiology by R. Vinodhini (2025) - Furthermore, models may contain aspects such as environment or human actions and hence disease transmission can be examined. No. 7s (2025) 199 https://internationalpubls.com been much discussion on models depicting patterns of disease transmission to rate epidemics and pandemic evolution, evaluate the efficiency of specific interferences, and identify indicators driving the disease transmission process. Keywords: analysis; disease; epidemic; individuals; model; modeling; number; population; spread; transmission; vol
• Analysis of AI-Powered Student Assistance Chatbot for admission through MHT-CET by Kavita A. Sultanpure (2025) - This research highlights the transformative role of AI chatbots in streamlining the admissions process, bridging the gap between technology and human interaction for an enriched student experience. Keywords: AI chatbot, student assistance, MHT-CET, admission process, cognitive framework, higher education, natural language processing, user engagement, educational technology, digital support system. Keywords: admission; chatbot; model; process; user; vol
• Artificial Neural Network Approach to Multi-Response Prediction of Transesterification by Rohit Khatri (2025) - No. 8s (2025) 235 https://internationalpubls.com Figure1 Regression curves for biodiesel yield Figure2 Regression curves for biodiesel Kinematic viscosity In training phase, high value of correlation coefficient (R) 0.99874 & 0.9976 and alignment of Regression line with data for yield and kinematic viscosity respectively, indicates model’s capability to establish relationship between predicted and actual values. [5] G. M. Lionus Leo, R. Jayabal, D. Srinivasan, M. Chrispin Das, M. Ganesh, and T. Gavaskar, “Predicting the performance and emissions of an HCCI-DI engine powered by waste cooking oil biodiesel with Al2O3 and FeCl3 nano additives and gasoline injection – A random forest machine learning approach,” Fuel, vol. 357, p. 129914, Feb. 2024, doi: 10.1016/j.fuel.2023.129914. Keywords: ann; biodiesel; doi; kinematic; model; oil; rsm; viscosity; vol; yield
• Collaboration Between Private Universities and the Government in Advancing Human Resources Based on the "Spirit of Maubereism" in Timor-Leste by Albertino de Jesus (2025) - This research examines the collaboration between private higher education institutions and the Timor- Leste government in enhancing human resource development based on the Spirit of Maubereism. C. Conceptual Framework The collaboration between the government and private higher education institutions in Timor-Leste integrates Maubereism with Ansell and Gash's Collaborative Governance Model to advance human resource development. Keywords: analysis; approach; challenges; collaboration; development; education; governance; government; human; institutions; leadership; leste; management; maubereism; model; research; resource; theory; timor; universities; values; vol
• Deep Learning for Non-Linear Black-Scholes Model in an Illiquid Financial Market with Transaction Costs by Tejal Shah (2025) - We have used Deep Learning based fully connected neural network (FCNN) to solve converted nonlinear ordinary differential equation model of option pricing. We get nonlinear transaction cost model (partial differential equation) in illiquid market mentioned below. Keywords: black; differential; equation; model; nonlinear; option; transaction
• Humanitarian Food Logistics: Optimizing the Inventory Model of Corn Soya Blend (CSB) and Deterioration Rate by the World Food Program (WFP) Under the Conflict and Insurgency Controlled Areas by Buba M.T. Hambagda (2025) - Inventory relief chain model with deterioration and disposal of relief commodity. [9] Jaggi, C.K. and Singh, J. (2020) ‘Inventory relief chain model with deterioration and disposal of relief commodity’, Yugoslav Journal of Operations Research, 30(4), pp. Keywords: chain; demand; deteriorating; food; inventory; items; model
• Automated LSTM Based Deep Learning Model for Handwritten Telugu Answer Script Analysis by Padmavathi Pragada (2025) - A. Image Preprocessing The initial phase of image preprocessing is critical in enhancing the quality of handwritten Telugu text images and comprises adaptive thresholding and Gaussian blurring operations. Building on the initial phase of image preprocessing, which employs adaptive thresholding and Gaussian blurring to enhance the contrast and clarity of handwritten Telugu text images, this study progresses to a novel segmentation and recognition methodology. Keywords: accuracy; analysis; character; handwriting; ieee; image; language; lstm; model; nts; ocr; processing; recognition; scripts; telugu; text
• Optimizing Graph Algorithms for Large-Scale Networks: A Mathematical Framework by Radheshyam R Sharma (2025) - The study focused on the usefulness of heuristic approaches in resolving intricate flow issues in large networks. High memory usage, lengthy processing times, and an inability to adjust to the structural complexity present in larger graphs are some of the causes of the inefficiency. Keywords: algorithms; analysis; efficiency; execution; graph; model; networks; scale; study; time
• Two Warehouse Inventory Model for Deteriorating Items with Trade Credit Under Inflation by Monika Rani, (2025) - Mahato et al. (2023) presented inventory models for decaying items with fixed lifetimes and carbon emissions policies, which highlight the integration of environmental considerations into inventory management for deteriorating goods. By including trade credit terms in inventory models, businesses can more accurately assess the true cost of holding inventory, balance their working capital, and negotiate better terms with suppliers. Keywords: credit; demand; inventory; inventory model; items; model; trade; warehouse
• Mathematical Analysis of Thermodynamic Model to Predict the Engine Parameters by Anbuchezian Ashokan (2025) - Where 𝑑𝑠𝑏 𝑑𝜃 = ( 𝑐𝑝𝑏 𝑇𝑏 ) 𝑑𝑇𝑏 𝑑𝜃 − 𝑣𝑏 𝑇𝑏 𝜕𝐼𝑛𝑣𝑏 𝜕𝐼𝑛𝑇𝑏 𝑑𝑃 𝑑𝜃 (68) 𝑑𝑠𝑢 𝑑𝜃 = ( 𝑐𝑝𝑢 𝑇𝑢 ) 𝑑𝑇𝑢 𝑑𝜃 𝑣𝑢 𝑇𝑢 𝜕𝐼𝑛𝑣𝑢 𝜕𝐼𝑛𝑇𝑢 𝑑𝑃 𝑑𝜃 (69) Expressing the heat loss of burnt and unburned gases as a function of the rate of change of specific entropy by combining (53)-(56) and (66)-(69) 𝐶𝑝𝑏 𝑑𝑇𝑏 𝑑𝜃 − 𝑣𝑏 𝜕𝐼𝑛𝑣𝑏 𝜕𝐼𝑛𝑇𝑏 𝑑𝑃 𝑑𝜃 = −ℎ ∑ 𝐴𝑏𝑖(𝑇𝑏 − 𝑇𝑤𝑖)𝑖=ℎ,𝑝,𝐼 𝑚𝜔 (70) 𝐶𝑝𝑢 𝑑𝑇𝑢 𝑑𝜃 − 𝑣𝑢 𝜕𝐼𝑛𝑣𝑢 𝜕𝐼𝑛𝑇𝑢 𝑑𝑃 𝑑𝜃 = −ℎ ∑ 𝐴𝑢𝑖(𝑇𝑢 − 𝑇𝑤𝑖)𝑖=ℎ,𝑝,𝐼 𝑚𝜔(1 − 𝑥) (71) Differentiating Equations (50) and (51) and incorporating with Equation (4), (39), (40), (43)-(46) and (52)-(64) into Equation (5), we have the following relations The first law of thermodynamics to an open system yields the energy equation as �̇� = �̇� − 𝑊 + ∑𝑚𝑘̇ 𝑘 ℎ𝑘 (3) Equations (2) and (3) can be written as 𝑑𝑚 𝑑𝜃 = ∑ 𝑑𝑚𝑘 𝑑𝜃 𝑘 (4) 𝑑(𝑚𝑢) 𝑑𝜃 = 𝑑𝑄 𝑑𝜃 − 𝑝 𝑑𝑉 𝑑𝜃 + ∑ℎ𝑘 𝑑𝑚𝑘̇ 𝑑𝜃 𝑘 (5) Equation (5) neglects changes of kinetic and potential energy in the control volume. Keywords: combustion; engine; model; 𝜕𝐼𝑛𝑣𝑏; 𝜕𝐼𝑛𝑣𝑏 𝜕𝐼𝑛; 𝜕𝐼𝑛𝑣𝑢
• Ethical leadership and Employee turnover Intentions: mediated by occupational stress and well-being and moderated by Work-life Balance in India's Hospitality Sector by Chandrakant Varma (2025) - Developing on this understanding of ethical leadership, occupational stress, and how these affect the welfare of employees, the following theories are put out: Hypothesis 5 (H5): Ethical leadership is negatively associated with occupational stress. Leaders who demonstrate strong ethical principles and foster a supportive, values-driven workplace will likely reduce employee stress, improve job satisfaction, and ultimately lower turnover intentions. Keywords: analysis; employee; eos; eti; ewb; hospitality; intentions; journal; leadership; life; model; results; stress; study; turnover; wlb; work
• Exploring the Link between Organizational Identification, Workforce Agility, and Employee Wellbeing in Indonesia’s Banking Sector by Ruland Willy Jack Sumampouw (2025) - The important findings of the current study recommend that high adaptability should be a concern for employees, employee agility emerges by engaging in continuous learning and skills development. First, it expands theoretical understanding of how workplace spirituality, workforce agility, and organizational identification influence employee well- being in the banking industry. Keywords: agility; analysis; employee; hypothesis; identification; influence; journal; model; organization; spirituality; study; value; wellbeing; workforce; workplace
• A Reverse Logistics Model for Green Products with Carbon Emission under Green Technology and Consumer Concern by Ashok Kumar (2025) - Sustainable production model with stochastic machine breakdown using smart manufacturing under circular economy. Growing items inventory model for carbon emission under the permissible delay in payment with partially backlogging. Keywords: cost; demand; green; inventory; logistics; model; production
• Analysis of Transport Department Services: Insights from Exploratory and Confirmatory Factor Analysis by S.V.R. Murty, V.V.S. Kesava Rao (2025) - No. 9s (2025) 928 https://internationalpubls.com Bachok, S., Osman, M. M., and Ponrahono, Z. (2014) used factor analysis to identify key determinants of public transport service quality, offering policy recommendations Yaya et al (2015) identified functional, convenience, and physical environment quality as key dimensions of public transport service quality, influenced by demographic factors like age, education, and license ownership. de Oña, J., & de Oña, R. (2015) reviewed different methodological approaches, including factor analysis, SEM, and CFA, used to assess public transport service quality. Keywords: analysis; cfa; factor; factor analysis; fit; item; management; model; public; safety; services; transport; user
• Optimization for Parameter Estimation in Mathematical Model to Predict the Behaviour of Immune System by Nalini Vaidya, Shital Yadav, Anisa Ahmad, (2024) - ⋅ (𝐺(𝑡) − 𝐺𝑏) − 𝑝2 ⋅ 𝐼(𝑡)]dt = ∫[0.05 ∗ (120 − 90)– 0.02 ∗ 15]dt I(t) = 1.2 t unit/L Insulin concentration over time Adjust the model parameters, initial conditions, and glucose concentration function as needed to fit the specific scenario or data. Study of diabetes is most important as now a days its frequently occurred is all age levels and also the human being suffered from diabetes having different range of glucose level (Pre meal or post meal), it varies person to person. Keywords: concentration; diabetes; glucose; insulin; model; rate; time
• An Analytical Approach to Solve Nipah Virus Infection Model by J. Sujatha, N. Magesh (2025) - 𝜃 − 𝛽𝒮ℐ − 𝜏𝒮 = 0 𝜃 = (𝛽ℐ + 𝜏)𝒮 𝛽𝐼 + 𝜏 = 𝜃 𝒮 𝛽𝐼 = 𝜃 𝒮 − 𝜏 𝛽𝐼 = 𝛽𝜃 𝜓+𝛿+𝜏 − 𝜏 𝛽𝐼 = 𝛽𝜃−𝜏𝜓−𝜏𝛿−𝜏2 𝜓+𝛿+𝜏 No. 9s (2025) 2120 https://internationalpubls.com From (23) we have 𝜓ℐ − 𝜏ℛ = 0 𝜓ℐ = 𝜏ℛ 𝜏ℛ = 𝜏(𝛽𝜃 − 𝜏𝜓 − 𝜏𝛿 − 𝜏2) 𝛽(𝜓 + 𝛿 + 𝜏) Keywords: analysis; model; virus; ℬ(℘; − ℘
• Stability Analysis by Routh Hurwitz on Dengue Epidemic Model by Kaveri Kanchan Kumari (2025) - [5]Defterli O., “Modeling the impact of temperature on fractional order dengue model with vertical transmission”, An International Journal of Optimization and control: Theories & Applications, Vol. 10(1), 2020 pp-85-93. It is demonstrated that fractional order equations are more suitable than integer order equations for simulating biological, economic, and social systems when memory effects are important. Keywords: human; model; population; vol
• Static Response of Rail Track supported by Linear and Non-Linear Stiffness by Sandeep Valji Shinde (2025) - = 𝟐 𝑭𝒊𝒆+ 𝑭𝒊𝒖 𝟐 ∆𝒊𝒆+ ∆𝒊𝒖 (𝟗) 4. Rail Track – Euler-Bernoulli (E-B) with BOEF The track model is consisting of a beam on a spring foundation representing the Beam on Elastic Foundation (BoEF), discretely supported by Springs having Stiffness represented as Linear (Constant) and Non-Linear Stiffness (Load-Deflection Curve) – as studied by Grassie, Sakdirat, Konthe, Thompson No. 9s (2025) 2258 https://internationalpubls.com Static Response of Rail Track supported by Linear and Non-Linear Stiffness Sandeep Valji Shinde1, Dr. Dhananjay Khankal2, Prof. S. K. Agarwal3 1. Keywords: analysis; beam; deflection; foundation; linear; load; model; rail; spring; stiffness; track
• Solution of Ebola Virus Disease Outbreaks with Novel Technique Conformal Fractional Differential Transform Method by C. Murugesan (2025) - This paper deals with Ebola Virus Disease (EVD) epidemiological model of differential equations and applied CFDTM to the SIRDP (Susceptible-Infected-Recovered- Deceased-Pathogens) model for different values of order 𝜁. By graphical representation, we can conclude that by taking immense measure in controlling the EVD by isolating the infected individuals from the environment and careful burial of deceased bodies. Keywords: Ebola Virus Disease (EVD), Conformable Fractional Differential Transform Method (CFDTM), Epidemiological Model- SIRDP. Keywords: differential; ebola; method; model; transform; virus
• Email Spam Filtering Model with the Machine Learning Models by Swapna Siddamsetti (2025) - Precision value = count of spam emails which are classified as spam / total count of positive predictions. Recall value = count of spam emails which are classified as spam / sum of True Positive and The False Negative. Keywords: algorithm; detection; mails; model; spam; spam mails; value
• Statistical Modeling of Tourists’ Protection Behavior under Cultural Heritage Knowledge Sharing: Evidence from Shandong Province, China by Ge Kong, Nutteera Phakdeephirot, Songyu Jiang (2025) - This study develops and tests a structural equation model (SEM) to quantitatively analyze the nonlinear relationships between four dimensions of cultural heritage knowledge sharing—informational, social, experiential, and technological—and tourists’ protection behavior. Recent studies have identified multiple dimensions of cultural heritage knowledge sharing that differ in modality, actor involvement, and emotional engagement. Keywords: analysis; behavior; heritage; heritage knowledge; knowledge; knowledge sharing; management; model; protection; protection behavior; sharing; tourism; tourists
• Empowering Non-Verbal Communication: Sign Recognition To Multilingual Text And Audio by Venkata Satya Santhi S (2025) - 3.0 Methodology: The proposed work for hand gesture recognition [7] in multilingual speech comprises four phases. Abstract Artificial Neural Networks and Computer Vision have significantly been used to detect hand gestures and facial expressions allowing devices to analyse and recognise images, in turn enhancing the experience of interaction between humans and machines. Keywords: gesture; hand; language; model; recognition; sign; system; time; vol
• Analyzing Citation Dynamics and Forecasting Academic Trends: A Multi-Criteria Decision-Making Approach Using ARIMA and AHP by Deepak Hajoary (2025) - Considering the dynamic nature of academic research and the increasing emphasis on data-driven methods for decision-making, the goals of this study are as follows: to analyze the relationship between the year of publication and citation count to determine whether older publications have a tendency to attain more citations than newer publications; to use time series forecasting (ARIMA and Holt’s Exponential Smoothing) to determine trends of future publications and study the performance of different forecasting techniques; to use the Analytic Hierarchy Process (AHP) to rank research publications in terms of their citation count, year of publication, and relevancy to MCDM, providing a systematic multi- criteria decision-making approach for the evaluation of academic impact[9].Using a blend of bibliometric techniques and decision-support models, this study provides a comprehensive examination of citation dynamics and insights into a wider understanding of how academic research is assessed and valued over time[10]. If we choose to consider these factors, our insights into how new media and digital tools affect the citation dynamics of academic publications may become more accurate and realistic. Keywords: ahp; analysis; arima; citation; count; decision; doi; forecasting; model; publication; research; vol; year
• Exploring Bifurcation Theory in Epidemiological Models: A Case Study on COVID-19 Spread by Anant Manish Singh (2025) - Samma, F. M. A., Avinash, N., Chellamani, P., Albasheir, N. A., Gargouri, A., Britto Antony Xavier, G., & Almazah, M. M. (2024). Ahmed, M., Masud, M. A. B., & Sarker, M. M. A. (2023). Keywords: analysis; bifurcation; covid-19; dynamics; engineering; model
• Determinants of Actual Usage of BIM in the Construction Industry in Sabah by Nur-ul Balqes Md Zaid, (2025) - 1. Percentage of BIM technology use per state 1.3 Research Focus This research explores the relationship between perceived ease of use (PEOU), perceived usefulness (PU), and actual usage (AU) of BIM in Sabah’s BIM practitioner in construction sector. This period saw the emergence of human-computer interaction methods, including computer- aided drawing (CAD) and BIM technologies. Keywords: acceptance; analysis; bim; construction; information; model; peou; research; sabah; table; technology; use
• Forest Fire Detection using CNN by Minit Arora, Sanjay Sharma (2025) - [4] in their paper introduce a Convolutional Neural Network (CNN) model based on Deep Learning for forest fire detection. The research addresses three primary issues: inaccurate identification, early warning systems, and forest fire detection. Keywords: cnn; dataset; detection; fire; forest; image; model; system; training
• Measurement of Super Efficiency for Management Colleges in India: A Case Study by Ashok R (2025) - Findings: The findings show that out of the 20 management colleges analyzed, 8 colleges consistently demonstrated technical efficiency scores across all years under the CCR model. Investigating the energy efficiencies of European countries with super efficiency model and super SBM approaches. Keywords: analysis; colleges; efficiency; management; model; super; technical
• A Study of Problems Faced by Engineering Students in Mathematical Subjects using Fuzzy Cognitive Mappings by Muna Al Kalbani (2024) - 3. Methods Development of FCM models for the case of study about problems faced by engineering students in colleges: An FCM model's creation approach, which complies with a set of standards to guarantee dependability, determines how reliable the model is. 4. Results Application for using FCM model Based on the data collected from domain experts, we obtain the following adjacency matrix and the corresponding graph is generated using MATLAB. Keywords: decision; model; students; 𝑆1 𝑆3; 𝑆3 𝑆5; 𝑆5 𝑆6; 𝑆6 𝑆7
• Impact of Yoga Awareness on Transmission Dynamics of Communicable Diseases: SIR Model Analysis by Raghu Bir Bhatta (2024) - So, we have introduced Yoga awareness as control strategy which includes Ahar, Vihar, Achar and Vichar. Our main aim is to model the role of Yoga awareness in controlling the disease dynamics. Keywords: analysis; awareness; disease; dynamics; equilibrium; issn; model; rate; transmission; vol; yoga; yoga awareness
• Design and Implementation of Cost-Effective Assurance Engineering Using Wake-Sleep Algorithm-Based WideResNet with Nonlinear Analysis and Topology Integration by M Srinivasan (2024) - In addition, the economically demanding nature of training and deploying AI models presents a need for cost-effective solutions [7]. In order to enhance the efficient usage of resources in the development and maintenance of AI models, it is imperative to prioritize cost-effectiveness. Keywords: assurance; engineering; method; model; phase; sleep; training; wake
• Experimental Analysis and Modelling of Solar Panel of Two-Diode Model (TDM) Parameters Dependence on Various Environmental Temperature and Solar Irradiance Changes in Naya Raipur Chhattisgarh. by Mubarak Musa Umar (2025) - Although the two-diode model (TDM) is well known for accurately capturing the behavior of PV modules, environmental unpredictability makes it difficult to extract its parameters. I Current of PV module in ampere(A) 2 V Voltage of PV module in volt(V) 3 Pmc Computed maximum power 4 Pme Experimental maximum power 5 Vm Maximum voltage 6 Im Maximum current 7 Voc Open circuit voltage 8 Isc Short circuit current 9 Kv Temperature coefficient of Voc 10 ki Temperature coefficient of Isc 11 STC Standard test condition 12 Ns Number of PV cells connected in series 13 Rsh Shunt resistance of PV module 14 Rs Series resistance of PV module 15 Iph Light generated current of PV module (photo current) 16 n1 Diode ideality of diode 1 17 n2 Diode ideality of diode 2 18 I01 Reverse saturation current if diode 1 19 I02 Reverse saturation current of diode 2 20 T PV module temperature in kelvin(k) 21 K Boltzmann constant (1.38 × 10- 23 Nm/K) 22 Q Electron charge (1.6 × 10-19) Keywords: current; diode; irradiance; model; module; parameters; photovoltaic; power; solar; temperature; vol; voltage
• The Investigation of the Shear Capacity of Fiber Reinforced Polymer (FRP) Deep Beams. by Anand Kamble, Ashutosh Pandey (2025) - The study demonstrates the feasibility of using FRP reinforced deep beams as a viable option to replace steel reinforced deep beams. [3] [3] W. A. Jasim, Y. B. A. Tahnat, and A. M. Halahla, Behavior of reinforced concrete deep beam with web openings strengthened with (CFRP) sheet, Structures, vol. 26, pp. Keywords: 10s; analysis; beams; communications; concrete; figure; frp; issn; model; section; shear; vol
• Complex Modeling and Data Analysis of Single Diode Photovoltaic Characteristics at Different Temperature Variations by Munir Iliyasu Abdullahi (2025) - When the irradiance intensity remains constant at 1000 W/m², the temperature has a substantial impact on the output performance of PV solar modules. The Analysis of PV Panel in context to Naya Raipur 0 5 10 15 20 25 30 1 2 3 4 5 6 7 8 9 10 11 12 Solar Panel Output Voltage Figure 10 Depicts the complete Simulink model of Solar PV module output voltage 0 0.5 1 1.5 2 2.5 1 2 3 4 5 6 7 8 9 10 11 12 Solar Panel Output Current Figure 11 Depicts the complete Simulink model of Solar PV module output Current Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 1545 https://internationalpubls.com 17.4 40.08 55.04 57.6 62.1 60.5 63.1 58 41 16.9 8.84 6.7 1 2 3 4 5 6 7 8 9 10 11 12 SOLAR PANEL OUTPUT CURRENT Figure 12 Depicts the complete Simulink model of Solar PV module output Power Evaluation and Results of Solar PV Modules Based on Real Meteorological Data This section presents the evaluation and findings from an investigation of solar PV modules using real meteorological data as part of a wider endeavor to collect comprehensive solar energy data across India. Keywords: current; energy; figure; irradiance; model; output; photovoltaic; power; simulink; solar; temperature
• Geometric Insights into Non-Euclidean Spaces: A Study in Hyperbolic Geometry by S. Balamuralitharan (2024) - Scientists utilize hyperbolic geometry today to model complex networks through which hyperbolic space enables efficient data structure embedding despite its hierarchical and expansive aspect. [1-4]. Mathematicians discovered the new era of non-Euclidean geometries because of which hyperbolic geometry became a major research area. Keywords: analysis; doi; euclidean; geometry; issn; model; space; vol
• Neurosymbolic AI for Context-Aware Cloud Security Policy Generation by Venkata Thej Deep, Jakkaraju (2024) - The system presented in this paper integrates neural networks with symbolic AI in order to automatically obtain a context aware policy generation system. However, by contrast to symbolic AI, data complexity poses a challenge to symbolic AI based on the formal logic, and it excels at representing domain knowledge and deriving conclusions from it. Keywords: access; analysis; cloud; compliance; hybrid; model; neurosymbolic; policy; security; symbolic; systems; time; vol
• Mathematical Framework and Computational Analysis of RNA-Level Interactions Between M. tuberculosis and BCG Glaxo by Gunasekaran.M, Alamelu.K (2025) - These lines demonstrate how the population of M. bovis BCG (Glaxo) varies in relation to M. M. tuberculosis under different starting scenarios. Population Interactions: At the beginning of the cycle, when M. tuberculosis population is low, M. bovis BCG Glaxo population increases sharply. Keywords: bcg; bcg glaxo; bovis; cell; glaxo; model; population; rna; tuberculosis
• Numerical Solution of Stochastic SEIQR epidemic model with Differential Transformation Method by M. Priyadharshini (2025) - The inverse of differential transformation method of H(x) is ℎ(𝑥) Later, several researches have been conducted in applying differential transform method to different types of equations. Keywords: differential; disease; dtm; method; model
• Mathematical Modeling and Analysis of the Amaranth Drying Curve: Evaluation of Functional Properties by Giménez-López (2025) - = 𝐷𝑒𝑓𝑓 (8) Considering that the Deff in foods exhibits a significantly temperature-dependent relationship with drying temperature, and its behavior aligns with the Arrhenius model, it is established that the relationship between Deff and drying air temperature (Ta) is accurately described by the Arrhenius model. Therefore, the purpose of this research is to determine the mathematical model that best fits the experimental drying curves of amaranth seeds at different drying temperatures and to evaluate its effect on the functional properties of Amaranthus viridis M., during processing and storage. Keywords: amaranthus; analysis; doi; drying; dubius; energy; model; properties; temperature; vol
• Enhancing AEPS Literacy: Improving Public Understanding and Adoption of Aadhaar-Enabled Payment Services by Shivanshi Singh (2025) - Awareness of Aadhaar Enabled Payment System (AEPS) services has a moderate relationship with the awareness of the procedure to use AEPS, awareness of Aadhaar-based government schemes, and the overall awareness difference level Overall Awareness Difference Level. Figure 7 Framework Model Of Aadhaar Enabled Payment System Literacy Model Overview Figure 7 provides The Aadhaar Enabled Payment System Literacy model highlights the intricate relationship between various elements of the Aadhaar Enabled Payment System (AEPS) and their collective impact on overall user awareness and secure banking transactions. Keywords: aadhaar; aeps; analysis; awareness; banking; digital; government; government schemes; icmasd; issn; model; payment; payment system; schemes; services; services awareness; system; table; transactions; value; vol
• RAG-Based Blood Test Report Analysis to Reverse Metabolic Syndrome by Arohi Karhade (2025) - 1 Introduction The following section is adapted from our previous publication[1], which details the GenAI-based approach to analyzing blood test reports for identifying and reversing Metabolic Syndrome. 4 Clinical Feature Selection The following section is adapted from our previous publication \cite{karhade2025genai}, which details the GenAI-based approach to analyzing blood test reports for identifying and reversing Metabolic Syndrome. Keywords: analysis; blood; generation; health; metabolic; model; rag; retrieval; syndrome; system; test
• Nonlinear Matlab/Simulink-Based Mathematical Modeling of Solar Photovoltaic Modules for Power Generation by Chairma Lakshmi K R (2024) - The model analyses the consequences of the spectrum and the performance of solar PV modules. Keywords: Solar PV system, MATLAB , Simulink, Output Power, Series Resistance. Keywords: analysis; cell; current; diode; energy; figure; model; parameters; photovoltaic; power; series; vol
• A Comprehensive ML Based Methodology for Early Detection and Classification of Skin Cancer by Siddiqua Begum (2025) - Skin cancer is caused by un- repaired deoxyribonucleic corrosive (DNA) in skin cells, which create hereditary abandons or changes on the skin. Skin cancer tends to steadily spread over other body parts, so it is more reparable in starting stages, which is why it is best recognized at early stages. Keywords: analysis; cancer; class; classes; classification; doi; melanoma; model; skin; vol
• Health AI Connect: Empower in Smart Healthcare System through Innovative AI Solutions by Mujtaba Muddasir (2025) - Additionally, the performance of AI models can vary across different populations and healthcare environments, emphasizing the need for broader validation and model tuning. [5] developed a deep language model for extracting symptoms from clinical text and applied it to social media data to monitor COVID-19-related symptoms, underlining the cross- platform adaptability of such models. Keywords: analysis; disease; healthcare; issn; model; vol
• A Sustainable Supply Chain Model for Defective Items Under Fuzzy Environment by Subhkaran (2025) - = (𝐴𝑚)𝐷 𝜆𝑄 ), item cost (𝐼𝐶𝑚 = 𝐶𝑚𝐷), holding cost (𝐼𝐻𝐶𝑚 = (ℎ𝑚 + 𝑆𝑚) 𝑄 2 [ 2𝐷 𝑃 + 𝜆(𝑃−𝐷) 𝑃 − 1]), and transportation cost (𝑇𝐶𝑚 = 𝜂𝐷𝐴0 𝑄 + 𝜂𝐴1(2𝜆𝑛−𝜆−1) 2 ) and emission tax (𝐸𝑇𝑀 = 𝐸𝑚𝐷𝑇𝑐𝑖). Conclusion The purpose of this paper is to analyse the impact of incorporating the imperfect quality items in the lot & we observed that by adding imperfect items it helps to increase the lot size also the total cost is decreasing which includes holding cost, setup cost, item cost, transportation cost, emission tax cost. Keywords: cost; credit; demand; inventory; items; model
• A Sustainable Two Warehouse Capacities based Inventory Model with Exponential Demand Pattern for Deteriorating Items Under Learning Effect by Anchal (2025) - − 𝛼𝑡2 − 𝑡2 2 ( 𝛾𝐵 + 𝛾2 2 ) − 𝛾𝑡1𝑡2 − 𝑡1𝑡2 2 ( 𝛾𝐵 + 𝛾2 2 ) − 𝑡1 2𝑡2 2 ( 𝑐𝐵 + 𝑐𝛾 4 ) Keywords: cost; demand; inventory; model; time; − 𝐵
• Impact of Carbon Emissions on the Ordering Policies for Perishable Items Under Preservation Technology by Pravesh Kumar (2025) - We also review relevant literature by several renowned authors who have studied inventory models for deteriorating items. These researchers proposed various ordering policies and inventory models for deteriorating items, each employing different approaches under diverse considerations. Keywords: carbon; cost; credit; cycle; demand; inventory; items; journal; model; time; total
• The study of Vorticity for Two-Layered Magnetohydrodynamic Flow through Parallel Plates by Mukesh Bijalwan (2025) - [17] studied MHD flow between parallel plates with an inclined magnetic field, employing finite difference methods. Their findings offer valuable insights into the optimization of magnetic field configurations and the stability of MHD flow, which are directly applicable to improving blood dialysis systems by enhancing plasma exposure and minimizing red blood cell damage. Keywords: blood; field; flow; mhd; model; plasma; plates; vol; vorticity
• A Comparative Analysis of Mamdani and Sugeno Fuzzy Controllers in Risk Evaluation of Gastric and Prostate Cancer Using Fuzzy Soft Sets by Tabendra Nath Das (2023) - • Sugeno FIS is better aligned with telemedicine, wearable diagnostic platforms, or AI- based triage tools, where speed and accuracy take precedence. Fuzzy inference models for personalized cancer diagnostics using clinical biomarkers. Keywords: analysis; cancer; decision; fis; inference; mamdani; model; output; risk; rule; set; sugeno; systems; vol
• Socio-Economic and Demographic Factors Shape Fertility Preferences at Sudurpaschim Province in Nepal by none (2025) - The study aims to examine the factors that affect fertility preferences of reproductive-age women. Thus, age and its related life cycle dynamics are the primary determinants of fertility preferences in Sudurpaschim, rather than the traditional socio-economic. Keywords: age; analysis; children; education; fertility; health; model; nepal; preferences; reproductive; women
• Dynamics of an Infectious Disease Model with Transmission Delay from Recovery to Susceptibility by G. Shailaja (2024) - − 𝑃( 𝑣∗)| − 𝛼|𝑤 − 𝑤∗| + 𝛼|𝑤 − 𝑤∗| − 𝛼|𝑤(𝑡 − 𝜇) − 𝑤∗| + 𝑏1𝐾3|𝑢 − 𝑢∗| − 𝑏1𝐾3|𝑢(t − τ) − 𝑢∗| + 𝐾4|𝑣 − 𝑣∗|) − 𝑟𝑁1|𝑣 − 𝑣∗| − 𝑑1|𝑣 − 𝑣∗| + 𝑟𝑁2|𝑣(𝑡 − δ) − 𝑣∗| − 𝛼|𝑤 − 𝑤∗| + 𝛼|𝑤 − 𝑤∗| − 𝛼|𝑤(𝑡 − 𝜇) − 𝑤∗| + 𝑏1𝐾3|𝑢 − 𝑢∗| − 𝑏1𝐾3|𝑢(t − τ) Keywords: delay; model; stability; system
• Buyers- Suppliers Win-Win Cash Flow Inventory Model with Linear Demand under Various Production Industries by S. Srividhya (2024) - FIFO & LIFO in green supply chain inventory model of hazardous substance components industry with storage using simulated annealing. LIFO in green supply chain inventory model of auto-components industry with warehouses using differential evolution. Keywords: inventory; model; − 𝑇1; − 𝑎; 𝑇 𝑇1; 𝑇1 𝑀; 𝑇1 𝜃2; 𝑝𝐼𝑒 𝑇1; 𝛿(𝑇 −
• Price Formation with Interacting Agents a Behavioral and Information-Theoretic Approach by Abdelali Ezzebsa, Chaabane Benatmane (2025) - At 𝒕 = 𝟎 The initial price is a weighted sum of external uncertainty and opinion heterogeneity: 𝑃0 = 𝑉 + 𝐻 2 where: • 𝑉 is the variance due to external signals (news), • 𝐻 is a measure of heterogeneity in agent opinions. Figure 1: Entropy of agent opinions over time for different proportions of irrational agents P2. Keywords: agent; entropy; market; model; opinion; price; table; vol
• Mixed-Integer Linear Programming Optimization Framework for Industrial Manufacturing Processes. by Amir Uddin Khan (2024) - MILP addresses these challenges by formulating manufacturing problems as mathematical models that can be solved efficiently using modern computational tools 29-04-2024 Abstract: Industrial manufacturing processes often involve complex decision-making under constraints such as resource availability, production scheduling, and cost minimization, which can be effectively modeled using optimization techniques. Keywords: heuristic; industrial; machine; manufacturing; milp; model; production
• Modeling and Fitting the Alpha-Power Transformed Extended Exponential Distribution for Competing Risks: Methods and Applications by Asma Bouaziz (2025) - (𝛼 1−𝑒𝑥𝑝(1−(1+�̂�𝑎𝑗) �̂� ) ̂ −1)) (�̂� − 1)2 − ( 𝑙𝑛 �̂�(1−𝑒𝑥𝑝(1−(1+�̂�𝑎𝑗−1) �̂� ))(𝛼 1−𝑒𝑥𝑝(1−(1+�̂�𝑎𝑗−1) �̂� ) ̂ −1) ) (�̂�−1)2 (16) 𝜕𝑃𝑗(�̂�) 𝜕�̂� = ( (1+�̂�𝑎𝑗) �̂� 𝑙𝑛(1+�̂�𝑎𝑗) (𝛼 1−𝑒𝑥𝑝(1−(1+�̂�𝑎𝑗) �̂� ) ̂ )(−𝑒𝑥𝑝(1−(1+�̂�𝑎𝑗) �̂� )) ) (�̂�−1)2 - ( (1+�̂�𝑎𝑗−1) �̂� 𝑙𝑛(1+�̂�𝑎𝑗−1) (𝛼 1−𝑒𝑥𝑝(1−(1+�̂�𝑎𝑗−1) �̂� ) ̂ )(−𝑒𝑥𝑝(1−(1+�̂�𝑎𝑗−1) �̂� )) ) (�̂�−1)2 (17) 𝜕𝑃𝑗(�̂�) 𝜕�̂̂� = ( �̂�𝑎𝑗(1+�̂�𝑎𝑗) 𝛽−1̂ (𝛼 1−𝑒𝑥𝑝(1−(1+�̂�𝑎𝑗) �̂� ) ̂ )(−𝑒𝑥𝑝(1−(1+�̂�𝑎𝑗) �̂� )) ) (�̂�−1)2 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 3487 https://internationalpubls.com − ( �̂�𝑎𝑗−1(1+�̂�𝑎𝑗−1) 𝛽−1̂ (𝛼 1−𝑒𝑥𝑝(1−(1+�̂�𝑎𝑗−1) �̂� ) ̂ )(−𝑒𝑥𝑝(1−(1+�̂�𝑎𝑗−1) �̂� )) ) (�̂�−1)2 (18) = (L1, L2, L3) T is given by: 𝐿1(�̂�) = ∑ 𝜐𝑗 𝑃𝑗 𝜕𝑃𝑗 𝜕�̂� (�̂�) 𝑗 ; 𝐿2(�̂�) = ∑ 𝜐𝑗 𝑃𝑗 𝜕𝑃𝑗 𝜕�̂̂� (�̂�) 𝑗 ;  𝐿3(�̂�) =∑ 𝜐𝑗 𝑃𝑗 𝜕𝑃𝑗 𝜕�̂� (𝜃) 𝑗 III. Keywords: aptee; distribution; exponential; model; ̂ �; � ̂; 𝜕𝑃𝑗
• SwinVQA: A Transformer Framework for Medical Visual Question Answering by Keyur Vaitha (2025) - Visual Question Answering (VQA) in the medical domain—a task aimed at automatically generating accurate textual responses to questions about medical images—emerges as a promising solution to enhance diagnostic capabilities and streamline clinical workflows. The medical visual question answering task involves generating accurate and clinically relevant text responses to questions about medical images. Keywords: analysis; answering; attention; image; medical; model; question; swinvqa; transformer; vision; vqa
• A Study on the Determinants of Child Mortality: A Scoping Review by Neha Bhardwaj (2025) - Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 3660 https://internationalpubls.com A Study on the Determinants of Child Mortality: A Scoping Review Neha Bhardwaj1*, Prof. Vineeta Singh2, Dr. Rakesh Kumar Rana3, Dr. Arunabh Tripathi4 1*Research Scholar, Department of Statistics, Institute of Social Science, Dr. Bhimrao Ambedkar University, Agra, Uttar Pradesh, India, SRF-Biostatistics Central Council for Research in Ayurvedic Sciences, Ministry of Ayush, Government of India, New Delhi, India, 2(Retd.) Introduction: In the preceding few decades, child mortality becomes a crucial topic among many researchers which revolves around children health and overall development. Keywords: analysis; birth; bmc; child health; child mortality; children; countries; determinants; education; effect; et.al; factors; health; india; infant; infant mortality; journal; model; mortality; mothers; research; risk; social; socio; studies; study; vol
• Mathematical Modelling of Hormonal Contraceptives and Cervical Cancer Risk by Shital Yadav (2024) - No. 2s (2024) 211 https://internationalpubls.com Probability of cervical cancer risk with long term use of birth control pills Decreased Risk: Risk of cervical cancer is reduced if there is long-term use of birth control. The relationship between hormonal contraceptives (birth control pills) and cervical cancer risk is a complex and evolving area of research. Keywords: birth; cancer; control; hpv; model; pills; risk; use; women
• Production Planning Models (Approaches) from the Perspective of Mathematical Sciences by Tutiarny Naibaho (2024) - Several contributions to the development of production planning models using MILP are discussed below. Production costs are crucial for industrial businesses since they determine how much it will cost to manufacture the goods the company needs to make [14]. Keywords: analysis; company; costs; demand; journal; model; planning; production; production costs; production planning; programming; research; stochastic; time; uncertainty
• An Efficient Technique for Arranging Various Commodities in a Warehouse by Chhavi Gupta (2024) - The quantity of pallets needed for warehouse storage can be determined in advance, ensuring the optimal utilization of storage space and meeting the demands in a manufacturing context that involves multiple products. The research presents a simple and efficient (LP) linear programming model for optimizing warehouse storage space through effective palletization. Keywords: inventory; linear; manufacturing; model; product; programming; research; space; storage; type; warehouse; wheel
• Optimizing Inventory Management for Perishable Goods: Managing Exponential Demand Variations, Stable Holding Charges, and Partial Backlog Handling by S. Ramya (2024) - Shah and Shah (2000) carried out an extensive literature review on inventory models for perishable goods, emphasizing important trends, methodologies, and research gaps within this domain. Su, Lin, and Tsai (1999) investigated a deterministic model for inventory management of perishable goods experiencing an exponential decline in demand. Keywords: demand; inventory; model; time
• A Novel Lightweight Language Model Architecture with Flexible Parameters by Sambit Chakraborty (2024) - WinoGrande presents language models with sentences containing pronouns whose antecedents are not immediately clear. Through continued research and refinement, SwiFTeDLM holds the promise of contributing substantially to the broader goal of advancing language models that are not only efficient but also highly effective in real-world applications. Keywords: ability; analysis; architecture; benchmark; dataset; information; language; model; performance; swiftedlm; training
• Autism Detection Using Fuzzy β-Neighborhood Based Soft Rough Sets by Praba B (2024) - For 𝛽 ∈ [0,1], the fuzzy 𝛽-neighborhood, �̃�𝛽(𝑥) of an object 𝑥 in 𝑈 is defined as �̃�𝜷(𝒙) The lower approximation space, �̃�0.2(𝑥1)_ contains 𝐹(𝑎2) which is completely contained in the fuzzy 0.2 neighborhood of 𝑥1 where {𝑎1, 𝑎3, 𝑎4, 𝑎5} are in 𝑁0.2(𝑥1). Keywords: autism; model; object; ̃ �; � ̃; 𝑈 𝑈
• Exploring Tuberculosis: A Theoretical Framework for Infection Regulation and Eradication by Naresh Kumar Jothi (2024) - Our theoretical framework presents methods for regulating and eradicating tuberculosis infections. It is obvious that the population density affects the frequency of interpersonal contact, which is turn affects the frequency of tuberculosis infections transmitted through the air. Keywords: analysis; disease; equilibrium; model; population; tuberculosis
• A Novel Hybrid SDR Model for Dengue Prediction using Opt_Recurr Feature Selection Algorithm by Sharlie Vasanthi. N (2024) - The proposed Opt_Recur algorithm is feature selection algorithm which make optimal selection feature which are needed for making accurate prediction. Feature selection techniques are frequently employed to boost a classifier's capacity for generalization. Keywords: algorithm; dengue; feature; hybrid; machine; model; prediction; selection
• Deep Learning for Skin Cancer Classification: A Comparative Study of CNN and Vgg16 on HAM10000 Dataset by Yashwant S. Ingle (2024) - SVM is also used to categorize skin cancer images. 2 displays the architectural design of the Vgg16 algorithm used for skin cancer classification. Keywords: accuracy; cancer; classification; cnn; dataset; layer; model; research; skin; vgg16

• Performance Analysis of Biserial Servers Connected with a Main Server by Fuzzy Ordering Approach by Syamala. P (2024) - In this article, we have analyzed the measures of the Biserial servers connected with a main server by Fuzzy ordering approach. [17] are illustrated the approach of Fuzzy ordering. Keywords: biserial; fuzzy; rates; server; system
• Nonlinear Dynamics in Cryptographic Systems for Image Encryption: A Mathematical Modeling Approach by S. Zulaikha Beevi (2024) - The proposed method achieves improved entropy, pixel correlation, and key sensitivity, so redefining a new benchmark for image encryption security. Image encryption is a fundamental technique applied to safeguard visual data and ensure that illegal users cannot access or grasp the content Keywords: correlation; encryption; image; key; map; method; pixel; security; system; values
• A Comparative Study of Lagrangean Multiplier Method and Integer Programming Approach for Efficiency Design in Parallel-Series Configuration by Bhavani Kapu (2024) - so that the writers can test with integer programming by leveraging Python programming in order to achieve integer values while concurrently boosting the number of components, component reliabilities, stage reliabilities, and system reliability in order for the authors to test with integer programming. 3.2.1 Fluctuation in Price-Component under LMM & LMMWR Frame Work = 02.83% 3.2.2 Fluctuation in Weight-Component under LMM & LMMWR Frame Work = 02.27% 3.2.3 Fluctuation in Volume-Component under LMM & LMMWR Frame Work = 03.69% 3.2.4 Fluctuation in System Reliability under LMM & LMMWR Frame Work = 04.74% 4 Integer Programming Approach Utilizing integer programming necessitates the input of component reliabilities to ascertain the number of components in each stage, stage reliabilities, and system reliability. Keywords: analysis; approach; component; integer; method; multiplier; parallel; programming; reliability; series; system; weight
• Optimizing Reliability of Parallel Systems: Prioritized Preventive Maintenance and Inspection by Reetu Sheoran (2024) - Gupta & Goel (1990), Papageorgiou & Kokolakis (2007), Zhang & Yanjun (2016) investigates cost benefit of system models by using standby configuration. The main contribution of this paper is to provide system designers with insights on how to enhance the profitability of parallel systems by implementing a priority-based approach. Keywords: repair; state; system; ̅̅ ̅̅
• Efficient Bulk Arrival Management in Multi-Service Retrail Queues with Orbital search Leveraging Rabbit MQ by Vivesini.D (2024) - = min Tc (ε1, εm) 7 Optimal Analysis: The most prevalent optimisation issue for service systems is highly nonlinear and subject to a number of intricate restrictions. It provides insights into system performance, reliability, and stochastic decomposition, along with practical numerical examples and cost optimization analysis. Keywords: analysis; customers; orbit; queue; retrial; search; server; service; system
• Mathematical Methods for Control Systems in Electrical Engineering by Swati Dixit (2024) - Step 4: Algorithm Design A. Proportional-Integral-Derivative (PID) Control Algorithm A common way to utilize input control in control frameworks is the Proportional-Integral-Derivative (PID) Control Calculation. Abstract: Control frameworks are exceptionally imperative in electrical building since they make it conceivable to absolutely control and move forward complicated gadgets and forms. Keywords: analysis; control; description; differential; frameworks; laplace; lqr; step; strategies; system; time
• IoT Based Smart Helmet for Coal Mining and Safety Monitoring System by Deepali S. Jadhav (2024) - It has a number of sensors, including, temperature and humidity sensors, gas sensors for identifying dangerous substances, and other types. Smart helmet equipped with gas sensors, collision sensors. Keywords: coal; helmet; humidity; iot; mining; monitoring; safety; sensors; system
• Non-Singular Convoluted Matrix Collaborative with Filtering and Sampling Techniques by S Nirmala Devi (2024) - Here ‘𝐴𝑛∗𝑑’ denotes the feature matrix of tweet users and ‘ 𝐵𝑚∗𝑑 ’ represents the feature matrix of actual tweets respectively. In recent years web researchers have investigated several mining models for constructing recommendation systems for social networking sites such as Whatsapp, Instagram, Twitter, and so on. Keywords: agent; collaborative; error; fmcr; matrix; mean; recommendation; recommender; step; system; time; tweets; users
• Virtual Piano using Assembly Language Programming by Gopal D. Upadhye (2024) - Mapping Keyboard Inputs to Piano Keys: The program maps specific keys on the keyboard to corresponding piano notes, enabling users to play melodies by pressing the mapped keys. One significant development in this regard is the creation of virtual pianos. Keywords: assembly; conference; consumer; doi; key; keyboard; language; note; piano; program; system; user
• Analysis of Graph Inverses and Algebraic Connectivity in a Systematic Way by R. Stella Maragatham (2024) - Algebraic graph hypothesis refers to the use of algebraic techniques to graph problems. This article concludes a focus on algebraic graph hypothesis and presents and examines a different algebraic and mathematical variety idea to regard as the greatest matching of an undirected graph. Keywords: algebraic; analysis; fiedler; graph; graph hypothesis; hypothesis; issn; laplacian; networks; study; system; theory; vol; 𝑩𝟏𝟐 𝑻
• Two-Stage Robust Optimization for Multiple Microgrids with Varying Loads under Uncertainty Conditions by Vijayalaxmi biradar (2024) - Robust optimization in power systems: a tutorial overview. Electric vehicle energy demand prediction techniques: An in- depth and critical systematic review. Keywords: analysis; energy; evs; load; microgrid; optimization; power; system; uncertainty
• Design and Evaluation of Electrical Protection for Grid-Connected Microgrid with Renewable Energy Resources by Shailesh Madhavrao Deshmukh (2024) - A literature survey on load frequency control considering renewable energy integration in power system: Recent trends and prospects. No. 2s (2025) 15 https://internationalpubls.com A Direct Current (DC) to DC converter links distributed generators, battery energy storage systems, and DC demands to a DC bus in a DC-MG system. Keywords: analysis; circuit; current; differential; energy; fault; grid; microgrid; power; protection; res; safety; system
• Power Quality Improvement for Hybrid Microgrid Integrated with Renewable Energy Sources by Anu G Pillai (2024) - The following sections are organized in the specified sequence: Section 2 provides an in-depth analysis of the existing literature on enhancing power quality in hybrid microgrids. This study provides a comprehensive examination of the incorporation of wind and solar microgrids into the primary power grid to Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 2s (2025) 24 https://internationalpubls.com effectively regulate the flow of electricity, enhance power quality, and alleviate the load, reinforcing the central grid [11]. Keywords: analysis; control; energy; figure; hybrid; microgrid; power; quality; system
• A Multi-Objective Energy Optimization Model for Renewable Energy Systems with Hybrid Energy Storage by Shailesh Madhavrao Deshmukh (2024) - Techno-economic assessment of offshore wind and hybrid wind–wave farms with energy storage systems. Hence, thoroughly examining the design and functioning of energy systems, including wind and solar power, is essential. Keywords: analysis; battery; energy; ess; grid; hybrid; objective; optimization; power; res; storage; system; wind
• A Connection Between Knot Theory and Linear Algebra by Ayman Abouzaid Ezelarab Aboufattoum (2024) - In this paper, we concentrate on an unconventional connection between knot theory and linear algebra in computing the Alexander polynomial and introduce an approach depending linear algebra tools to show that the Alexander polynomial is a knot invariant. In this paper, we will see connections between knot theory and linear algebra regarding two knot invariants, the Alexander polynomial and the 3-coloring. Keywords: knot; system
• Neural Network Aided Extended Kalman Filter for Fault Detection and Isolation in Nonlinear Control System by Vishnu Kumar Kaliappan (2024) - Keywords: Neural networks; Fault detection and isolation (FDI); Non-linear systems; Extended Kalman filter (EKF); fault diagnosis. dharaninagan92@gmail.com Article History: Received: 06-08-2024 Revised: 27-09-2024 Accepted: 08-10-2024 Abstract: This article describes the presentation of neural networks for fault detection and isolation in nonlinear systems. Keywords: detection; diagnosis; fault; figure; filter; kalman; network; system
• Controllability for Volterra Integro-Dynamic Sylvester Matrix Systems with Impulse on Time Scales by A Sreenivasulu (2024) - − 𝑥‖𝑃𝐶 ≤ 𝑀𝛼‖𝑧 − 𝑥‖𝑃𝐶 . [𝑧0 − Ψ(𝑡0, 𝑡1)𝑧𝑡1 + ∫ Ψ(𝑡0, 𝜎(𝑠))K(t, s)z(s)∆s 𝑡1 t0 +∫ Ψ(𝑡0,σ(τ))f(τ, z(τ))Δτ 𝑡1 t0 ], and Φ𝑗 = 𝒩𝑗 −1(𝑠𝑗, 𝑡𝑗+1) Keywords: system; 𝑡𝑗+1
• Controllability Analysis of Coal Mill Pulverizer Model by Jaita Sharma (2024) - Earlier, some research studies have been attained for controllability analysis of coal mill model; however, past literature doesn’t provide evidence of controllability analysis of coal mill model using the concept of Transition Matrix. Coal pulverizer or coal mill play a very important role in the performance and reliability of any sub- critical or super critical coal-based power plant. Keywords: coal; mass; mill; system; u x
• Energy Management in Isolated DC Microgrid Systems Using ARO-NN for PV, Battery, and Supercapacitor Integration by Saurabh V Kumar (2024) - Ibrahimi et al. (2019) looked into the optimisation of DC microgrid energy management using genetic algorithms. Kim and Lee (2021) introduced adaptive control methods for DC microgrid energy management. Keywords: battery; control; current; dc microgrid; ems; energy; management; microgrid; power; storage; system; vol; voltage
• Constructing a Precise Method to Control Non-Linear Systems Employing Special Functions and Machine Learning by S.K. Sahani, et al. (2023) - A novel approach to linear parabolic PDE system control was developed by Ray at the age of [11]. Keywords: The HJB equation, KLD, NN, PDE systems, optimal control, and SP are all complicated mathematical concepts. Keywords: control; eefs; equation; method; nonlinear; order; pde; system; vol; way
• The Financial and Monetary System: A Study on the Structure of the Financial and Monetary System in the World and Lessons for Vietnam by Le Thi Khanh Ly (2024) - The digital currency and financial system are being built on two technology platforms: centralized and decentralized. Therefore, institutional issues, financial system risk management capacity, The transparency and professionalism of the investment environment are still a big challenge in the context of the rapidly developing digital economy, finance, and digital currency; (iii) Vietnam's financial system still faces challenges from within the economy. Keywords: bank; banking; countries; credit; currencies; currency; currency market; development; digital; dollar; economic; finance; global; institutions; international; management; market; money; state; state bank; system; trade; vietnam; world
• Customer Impatience and Feedback Mechanism in MX/G/1 Retrial Queue with, Unreliable Server, Bernoulli Vacation and Customer Search Strategies by K. Kaarunya (2024) - In retrial queueing system, the customer who finds the server busy leaves the service area and joins the retrial group to get service after random amount of time. Kuki et al. (2020) suggested retrial queueing system with non-reliable server, collision and impatient customers. Keywords: customers; group; probability; retrial; server; service; system
• Mathematical Modelling Non Linearity Characteristic Analysis and Efficiency Enhancement Strategies for Hybrid Solar Photovoltaic Energy System by Naval Kishor Jain, et al. (2024) - This research focuses on the mathematical modeling, non-linearity characteristic analysis, and the development of efficiency enhancement strategies for hybrid solar PV energy systems. The findings from this research provide valuable insights into the design, operation, and performance optimization of hybrid solar PV energy systems. Keywords: algorithm; analysis; cell; conditions; energy; issn; maximum; mppt; output; photovoltaic; point; power; shading; system; temperature; vol; voltage; 𝑃out
• Capability of Reactive Power Compensation of Vehicle-to-Grid (V2G) Technology using off-board EV Battery Charger by Chirag Arora (2025) - In addition to stabilizing grid power demand, this steady adjustment lessens swings that may result in reactive power problems. Based on battery power references, the paper presents a sophisticated EV battery charger architecture that combines active power control and reactive power correction. Keywords: battery; charger; charging; control; converter; doi; energy; grid; power; reactive; smart; system; vehicle; vol; voltage
• A Novel Intrusion Detection System for Mitigating Black Hole Attacks in Wireless Networks by A. Manjula (2025) - Abstract: This study introduces an innovative Intrusion Detection System (IDS) designed to mitigate black hole attacks in wireless networks, particularly in the context of the NS2 simulation platform. Black hole attacks, wherein malicious nodes deliberately drop or misroute data packets, severely disrupt network reliability and connectivity. Keywords: attacks; detection; hole; ids; network; nodes; packet; system
• Unveiling Beauty's Resilience: Golden Ratio's Influence on Facial Harmony and Post-Injury Markings by Palaniappan Sambandam (2025) - First, the system needs adequate and reliable devices for the computation of facial ratios and some other features. First, the system needs to have precise techniques for measuring facial ratios and features. Keywords: algorithm; analysis; burns; detection; face; features; ratio; scars; system; yolo
• Smart SVC Placement for Loss Reduction in Power Systems: Tackling Generator Outages with IGEPO Optimization by Muhammad Nurhazeeq Nor Helmy (2025) - IGEPO addresses this challenge by offering optimal solutions that minimize power system losses under varying loading conditions. [2] to improve flexibility and dynamism of electrical variables in power systems with maintaining their security, stability, and reliability. Keywords: bus; generator; igepo; locations; mvar; optimization; power; sizing; svc; system; 𝑄𝑑20; 𝑄𝑑30
• Analyzing Air Traffic Control System Reliability with Markov Process Methods by Anmol Gupta (2025) - By applying these models, we aim to quantify system reliability, identify critical vulnerabilities, and propose improvements to enhance overall system resilience. We performed a sensitivity analysis to determine how each failure rate affects overall system reliability by differentiating reliability function with respect to several failure rates ( 𝛼𝑟 , Keywords: analysis; reliability; system; time
• The Lorenz Attractor: A Fractal Perspective using MATLAB by Meghana Bagwe (2025) - In this article we have demonstrated the fractal graph for real Lorenz as well as fractional ordered real Lorenz system for both real initial conditions. 1.2 Overview of Fractional Lorenz System Grigorenko and Grigorenko progressed the Lorenz system (1) in 2003 to get Lorenz system of fractional order [4]. Keywords: attractor; fractal; lorenz; matlab; system
• MATLAB model on Intelligent Controlled Active Filter to Minimize Harmonics in Generated Voltage at Solar Grid with Variable Load by Rituraj Jalan (2025) - Grid Integration and Stability As solar power systems are increasingly integrated into the electrical grid, research has focused on ensuring the stability and reliability of grid-tied inverters and MPPT systems. 13-10-2024 Abstract: In the realm of renewable energy integration, such as solar power grids, mitigating harmonic distortions in voltage is crucial for efficient and reliable operation. Keywords: analysis; conditions; control; energy; filter; grid; load; mppt; performance; power; system; voltage
• Sentinel Os: Strengthening Operating System Security with Comprehensive Hardening Measures by Shailaja Uke (2025) - [4] analyzes the impact of operating systems on the reliability of safety-critical systems. [7] proposes an automated approach to correcting misconfigurations in operating systems. Keywords: analysis; communications; detection; hardening; issn; linux; operating; paper; security; sentinelos; system; time; vol
• Improving Distribution System Performance using the Optimal Place-ment of Dgs and Reconfiguration for Different Load Models by Ravi Kant Yadav (2025) - In this study, propose the minimization of distribution system power losses, improvement of the voltage profile. Another innovative approach leverages the artificial ecosystem optimizer to integrate DG and capacitor allocation for recon- figuring power distribution systems, with practical application demonstrated on Egypt's 59-bus Cairo distribution system [6]. Keywords: analysis; bus; case; distribution; load; loss; placement; power; system; voltage; 𝑉 𝑉0
• Enhanced Fault Tolerance and Load Balancing using Adaptive Tuning in a Hierarchical Dragonfly Algorithm Framework by K. Vani (2025) - A survey on load balancing techniques in cloud computing. The methodology includes (i) Implementing a hierarchical structure to enhance fault tolerance and optimize load balancing. Keywords: algorithm; balancing; cloud; computing; dragonfly; fault; hda; load; performance; system; tolerance; tuning
• Linear Analysis of Active Battery Management System for Electric Vehicle using a Switch Matrix with Capacitive Topology by Gnanaprakash.L (2025) - Karthick et al. (2022) explains battery state of charge prediction for electric vehicle battery management using machine learning models, improving accuracy and convergence over traditional methods. Islameka et al. (2022) reviews energy conversion, consumption, and storage in battery electric vehicles, driving cycles and energy management systems for efficiency, range extension, and reducing range anxiety. Keywords: batteries; battery; capacitor; charge; electric; engineering; equalization; management; system; vehicles; voltage
• Evaluation of Education Equalization in the Indonesian Police Environment (Polri) by Hartini, Nurhattati, Matin (2025) - According to Davis and Chen (2023), education equalization policies should include recognition of academic graduates in the form of additional points in promotions. This approach is expected to provide in-depth insights into the challenges and opportunities in the implementation of education equalization policy in POLRI as well as generate evidence-based recommendations for future policy improvements. Keywords: development; education; equalization; graduates; leadership; officers; police; system
• Deep Learning for Realistic Virtual Clothes Fitting by K.V. Chandra Sekhar (2025) - The main focus of this project is to enhance critical areas like precisely implementing image segmentation, pose estimation, garment warping and to provide an overall seamless experience to the users. This process includes Image segmentation, Pose estimation, Garment fitting and warping, Texture mapping and Image synthesis. Keywords: body; clothing; estimation; garment; image; pose; segmentation; system; try; user; vol
• Optimization and Statistical Analysis for an Independent Microgrid Operation through an Innovative Fusion of Demand Response Programs by Sunil Kumar Gupta, Rekha Swami, (2024) - [30] M. Nemati, M. Braun, S. Tenbohlen, “Optimization of Unit Commitment and Economic Dispatch in Microgrids Based on Genetic Algorithm and Mixed Integer Linear Programming,” Applied Energy, vol. 210, pp. 944-963, 2018. [15] A. Asadinejad, K. Tomsovic, “Optimal Use of Incentive and Price Based Demand Response to Reduce Costs and Price Volatility,” Electric Power System Research, vol. 144, pp. Keywords: battery; cost; demand; drp; drps; energy; kwh; load; microgrid; operating; peak; power; response; system; time; vol
• Artificial Intelligence-Assisted SVPWM for Enhancing Power Quality in Solar Photovoltaic Systems by Naseem Zaidi (2025) - Solar power systems, and solar photovoltaic systems in particular, have a wide range of potential applications, ranging from off-grid to grid- connected. These upgrades are essential to ensuring that solar PV systems support the grid by supplying the necessary power in the most environmentally friendly manner. Keywords: ann; control; energy; grid; harmonic; inverter; photovoltaic; power; quality; svpwm; system; thd; voltage
• One Touch Pay: An Innovative Quick and Secure Payment System by Deepa Das, Manthan Ghosh (2025) - Keywords: Biometric payment system, Digital wallets, One-touch payment, Payment gateways. Union pays interventions with fingerprint payments priorities fingerprint payments. Keywords: analysis; authentication; biometric; fingerprint; payment; system; user; vol
• Iot-Powered Real-Time Soldier Retrieval And Surveillance System For Intervention In Critical Combat Environments by Maheswari.S (2025) - In this paper, They have been discussed about the implementations, methodologies, architectures and the enhancements of the application of Soldier health monitoring and tracking systems. The proposed flow chart Of Health Monitoring And Location Tracking Unit is shown in Figure 1.3.The primary process for tracking soldiers' locations and assessing their health in their units Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s (2025) 3155 https://internationalpubls.com is soldier health parameter evaluation. Keywords: analysis; control; health; issn; location; monitoring; sensor; soldier; system; unit; zigbee
• Advanced Grid Integration and Energy Management for Vehicle-to-Grid Systems with Hybrid Power Sources by Srinivasa Acharya (2025) - [10] S. B. Mohod, V. R. Parihar and S. D. Nimkar, Hybrid power system with integration of wind battery and solar PV system, 2017 IEEE International Conference on Power Control Signals and Instrumentation Engineering (ICPCSI), pp. THD analysis is crucial in various applications, including power systems, audio engineering, and telecommunications, as excessive harmonic distortion can degrade performance and cause interference. Keywords: current; energy; grid; hybrid; inverter; power; system; voltage; wind
• Advanced Aerodynamic and Fault-Tolerant Control for VSVP Wind Turbines and DFIG Using Predictive and Sliding Mode Techniques by A.Ravi Shankar, T.R.Jyothsna (2025) - The research by Chen et al.,[23] presents a self-adapting active fault-tolerant MPPT control method to protect maximum power point tracking capability in wind power systems through generator-side fault conditions. The literature reviewed addresses in table 1 contains numerous advancements in wind turbine control such as variable-speed control, active blade pitching, adaptive fault-tolerant methods, and Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 685 https://internationalpubls.com optimization strategies. Keywords: analysis; conditions; control; dfig; energy; fault; grid; issn; mode; performance; pitch; power; rotor; smc; speed; stability; system; time; torque; turbine; variable; vol; voltage; wind
• Implementation of an ERP System in a Courier Company by Naveen Mittal, Samir Gopalan (2024) - According to a recent research done in China, only 10% of ERP systems were implemented successfully.[2] The reality is that ERP systems require key alignment processes and activities to realize the gains promised. Keywords: courier; customer; delivery; erp; system; time; tracking
• Resource Allocation in Cognitive Radio 5G Massive MIMO NOMA Systems by Sahar Mohammed Madhloom Al-Inizi, Mohsen Nickray (2025) - The information about the channel status between the base station, primary user, and cognitive users for the base station is specified. ∀𝑔.𝑚 The difference between the optimization problem 𝑷𝟏and the problem 𝑷𝟐lies in the addition of a constraint 𝐶4 (𝑝2)that represents the interference constraint imposed by cognitive radio users on the primary user; since no interference should occur for the primary user when using the channel, the base station should control interference by reducing its power to a level below the interference threshold that is tolerable for the primary user and prevent interference on the PU channel. Keywords: allocation; analysis; channel; cluster; communications; ieee; interference; method; noma; power; problem; radio; system; user; vol; 𝐺 𝑔=1; 𝐼𝑡ℎ 𝐺; 𝑝𝑔.𝑚‖𝒉𝑔.𝑚 𝐻; 𝒉𝑠𝑢 𝐻
• Fuzzy Logic-Based System for Stress Detection by Shikha Verma (2025) - (Cantara & Ceniza, 2016)developed a system for stress level detection during computer usage. No. ICMASD (2025) 542 https://internationalpubls.com Fuzzy Logic-Based System for Stress Detection Shikha Verma1*, Mandeep Kaur1 1School of Engineering & Technology, CT University, India Corresponding Author’s email address: shikhu.s@gmail.com Article History: Received: 12-12-2024 Revised: 25-01-2025 Accepted: 05-02-2025 Abstract: In this paper, a fuzzy logic-based system is developed for stress detection. Keywords: detection; logic; rate; stress; system; work
• Smart Caption: Intelligent Image Description Using Transformer Decoder by Deepali Govindrao Navalkar (2025) - Shubhangi G Navalkar 1ME student ,Computer Engineering, Late G. N.Sapkal College of Engineering, Nashik, India deepali.navalkar09@gmail.com 2Principal, Shree Kapildhara College, Nashik, India dahibhaterv@gmail.com 3HOD Computer Engineering, Late G. N.Sapkal College of Engineering, Nashik, India nileshrw_2000@yahoo.com 4M.E Electrical Power System nawalkar.shubhangi@gmail.com Article History: Received: 12-01-2025 Revised: 25-02-2025 Accepted: 05-03-2025 Abstract: The demand for automated image description systems has surged with the exponential growth of multimedia content across various domains, including social media, digital libraries, and accessibility technologies. Our approach capitalizes on the attention mechanisms inherent in both Vision and NLP Transformers to enhance the quality of image descriptions. Keywords: approach; attention; caption; captioning; image; nlp; project; system; transformer; vision
• Smart Gas/Water Leakage Detection System for Pipes Laying in Ground or in a Wall by Shivkanya Anil Rasal (2025) - It also explores the role of IoT in enabling real-time monitoring and data analysis, enhancing the overall efficiency and responsiveness of gas leakage detection systems. Fig.1.1 Block diagram of the proposed System The proposed system architecture comprises three key components: detection system, notification system, and response systems. Keywords: detection; flow; gas; leakage; sensor; system; water
• “Impact of Distributed Generation on Voltage Stability and Losses in Radial Distribution Networks” by Pawan Kumar Verma (2025) - [17] A. Ulinuha, M. M. Yusoff, and T. K. A. Rahman, “Optimal distributed generation allocation and sizing using improved particle swarm optimization,” Int. Keywords: Distributed generation, effects, solar power, DSTATCOM. Keywords: bus; generation; network; power; system; vol
• Algebraic Structures in Cryptography: Applications and Challenges by S. Balamuralitharan (2024) - The existing literature investigates single quantum-resistant algorithms but this paper explores extensive effects of quantum computing on cryptographic algebraic structures. The majority of cryptographic systems built using public-key cryptography operate through algebraic problem difficulties which include factoring large integers and solving discrete logarithms. Keywords: algebraic; cryptography; encryption; key; lattice; quantum; security; structures; system; vol
• Mathematical Modeling of Human Emotions using Neural Network - A Qualitative Approach by G. Shirisha (2025) - bij be the synaptic connection strength among emotions xi and xj . Here xi’s be a state of particular emotion like happiness, anger, sadness, fear, etc., and yik ’s be the neurons corresponding to different memories stored from the previous experiences for a particular emotion xi. ai Keywords: conditions; k=1; ri∑; ri∑ k=1; system; |ciik
• Advanced Power Quality Enhancement using Hybrid Active Power Filters for Harmonic Mitigation by Arsh Khan (2025) - 01-03-2025 Abstract: This project focuses on mitigating harmonic distortion in power systems caused by nonlinear loads such as rectifiers and unbalanced loads while also improving unity power factor affected by inductive loads. 1 Simulation design of power system without HAPF A. Non-Linear Load Non-linear loads are a major source of harmonics in modern power systems. Keywords: current; filters; harmonic; loads; power; quality; system; thd
• Enhancing Power Quality with Intelligent Control: Neural Network-Driven Shunt Active Power Filter for Harmonic Mitigation by Arsh Khan (2025) - PROBLEM IDENTIFICATION In power systems, harmonic distortion caused by non-linear loads such as rectifiers, induction motors, and unbalanced loads presents a significant challenge to maintaining power quality. The problem identification phase of this research highlights the impact of these harmonics on power systems and emphasizes the need for effective solutions, such as the Shunt Active Power Filter (SAPF), to mitigate these adverse effects and improve power quality. Keywords: ann; current; distortion; fig; filter; harmonic; power; quality; sapf; shunt; system; thd; voltage
• Design on Effectiveness of Multi – Level Parking Configuration in High Density Areas by Rishabh Paikra, Eswara Veera Raghava Rao (2025) - For deciding the geometry of car park system, the split level type car parks have been considered. Also it explained the various considerations for steel parking system like: painting guide, fire code requirement, and slab design consideration. Keywords: car; concrete; construction; design; parking; steel; system
• A Machine-based Robotic System for Precision Grinding Wheel Saw Replacement: Mathematical and Non-linear Analysis Perspective by Amit S. Chaudhary (2024) - It has been reported that car wheel polishing [10, 11], intelligent grinding wheel monitoring [12], and automated casting debarring [13]can be possible with Machine based robotic intelligent system (MRIS). This result are performed by machine based robotic intelligent system and then forwarded to the control panel system. Keywords: analysis; arm; flange; machine; manufacturing; nut; replacement; saw; steel; system
• Experimental & CFD analysis of Hybrid Air-Conditioning system using nanofluid via Heat & Mass Transfer Characteristics by Shailendra Gajbhiye (2024) - Overall, the findings of this study can be useful in designing and optimizing the performance of hybrid air conditioning systems with nanofluid chilled water spray systems for various applications, such as cooling electronic equipment or air conditioning systems. Water spray systems have been used in several applications, such as evaporative coolers, air conditioning systems, and power plant cooling towers. Keywords: air; analysis; conditioning; cop; heat; nanofluid; performance; rate; spray; system; temperature; transfer; vol; water
• Intelligent Hybrid EV Energy Management: Leveraging Real-Time Data for Efficient Power Utilization by Sasirekha P, Sivaranjani P (2025) - The authors discuss battery innovations, energy management systems, and advancements in charging infrastructure. Keywords: Intelligent Energy Management System, Hybrid Electric Vehicle, Renewable Energy, Solar Panel, Wind Generator, Voltage Regulator, Arduino Controller, Boost Converter, Battery, Motor, Energy Efficiency, Sustainability, Real-time Optimization, Green Transportation I.INTRODUCTION The rapid evolution of the automotive industry toward electrification and sustainable practices has driven significant advancements in vehicle energy management. Keywords: battery; control; energy; hybrid; management; power; system; vehicle; voltage; wind
• IOT based Automatic Drug Delivery Robot in Hospitals by B.N. Shashikala, S.Roopa (2025) - An IOT connected sensor based health monitoring system using different methods were studied for a patient health care system Android app for medicine and food delivery FIGURE 10 shows the hardware implementation of health monitoring system. Keywords: delivery; figure; health; iot; monitoring; patient; robot; saline; sensor; system; temperature; vol
• AI-Based Faculty Assistance System by Archana Burjwale (2025) - Existing attendance systems rely on manual roll calls or hardware-dependent biometric solu- tions, which can be inefficient, costly, and difficult to scale. Keywords— Facial recognition, automated attendance system, AI-based quiz generation, academic project tracking, real-time data management I. INTRODUCTION The rapid advancement of artificial intelligence and web technologies has significantly trans- formed the management of academic operations. Keywords: attendance; face; project; quiz; recognition; system; time; vol
• Image Stitching Model Based on Homography Estimation by M. Dhurga Devi (2024) - [1] D. G. Lowe, Distinctive image features from scale-invariant keypoints, Int. [3] R. Szeliski, Image alignment and stitching: A tutorial, Found. Keywords: alignment; analysis; blending; comput; error; feature; homography; ieee; image; implementation; issn; matching; processing; stitching; system; vol
• Improved Mathematical Modelling and Statistical Assessment of Performance of Photovoltaic System under Non-Linear Operational Condition by Naval Kishor Jain (2024) - Performance assessment and orientation optimization of 100 kWp grid connected solar PV system in Indian scenario. Key performance metrics include capacity factor, energy yield, and system efficiency systems exhibit non-linear behaviors influenced by various environmental and operational conditions, making their performance prediction complex. Keywords: analysis; conditions; efficiency; energy; irradiance; issn; mppt; output; performance; photovoltaic; power; system; temperature; vol; voltage
• Reverse Engineering Protection for the Hardware design using Input/output Locking System by Dinesh cholkar (2025) - Figure 5: Energy per operation of proposed circuits from measurement results versus supply voltage Figure 6: Energy comparison chart Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 2904 https://internationalpubls.com 4. Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 2903 https://internationalpubls.com Additionally, signals were used to examine possible attacks on the system. Keywords: attacks; circuit; key; security; system; vol
• Engineering Resilience: Cloud-Native Design Patterns for Fault-Tolerant Systems by Sailesh Oduri (2025) - This methodology provides a comprehensive lens through which to assess the behavior, effectiveness, and trade-offs of resilience design patterns in realistic cloud-native settings. This section presents real-world case studies illustrating how resilience design patterns are implemented and tested in various platforms—including Netflix OSS, Kubernetes-native environments, and AWS infrastructure. Keywords: analysis; circuit; cloud; design; engineering; failures; fault; kubernetes; patterns; probes; recovery; resilience; service; system; vol
• Nonlinear Augmented Reality Enabled Smart Water Leakage Identification and Infrastructure Management of Pipeline System by N. Palanivel (2024) - In the Figure 6 pipeline layout is described, water flow sensors are fixed at both ends. Experiments have shown that water flow sensors are useful at tracking and detecting leaks in pipeline control systems. Keywords: detection; figure; flow; leak; management; monitoring; pipeline; rate; sensors; study; system; water
• Multi-Chain Smart Wallet With Gasless Transaction by Jay Korat (2025) - Even so, with all of this revolutionary promise, two such crucial challenges still lie in the way of widespread adoption: the lack of seamless cross-operability among blockchain networks and transaction fees’ volatility. Solutions like Biconomy and Gas Station Network (OpenGSN) have implemented this pattern, although application integration ease remains a problem [3].sponsorship model is also available where platforms directly remit transaction fees, which improve user experience for something such as authentication or reward redemption. Keywords: architecture; blockchain; ethereum; fees; gas; gasless; network; security; system; transaction; user; vol; wallet
• Harnessing Machine Learning and Real-Time Object Detection to Revolutionise Industrial Quality Control by Vivek Uprit (2025) - There is a pressing need for an intelligent, automated system capable of detecting defects in real time while maintaining flexibility across various manufacturing environments [8]. It works in real time, tracking manufacturing processes continually and spotting flaws as they appear. Keywords: accuracy; analysis; computer; control; detection; efficiency; feature; iou; manufacturing; method; network; object; production; quality; system; time; vision; vol
• V2G Nonlinear Connection in EV’s for Wireless and Sustainable Mobility with Support of Machine Learning by Sudeepthi Govathoti (2024) - nagamalleswary@kluniversity.in 5*Assistant professor, Department of ECE, Hyderabad Institute of Technology and Management, Email ID: naveen.penjerla@gmail.com 6School of engineering, department of CSE, Malla Reddy University, Maisammaguda, Dulapally, Hyderabad, Telangana 500043, saikumarkayam4@ieee.org Article History: Received: 25-03-2024 Revised: 10-05-2024 Accepted: 24-05-2024 Abstract: In order to achieve reliable, rapid, and affordable charging solutions, this study examines the several approaches and strategies used in electric vehicle wireless charging systems. [3] S. D. Barman, A. W. Reza, N. Kumar, M. E. Karim, A. B. Munir, Wireless powering by magnetic resonant coupling: Recent trends in wireless power transfer system and its applications, Renewable and Sustainable Energy Reviews 51 (2015) 1525–1552. Keywords: analysis; batteries; battery; charging; communications; dynamic; efficiency; electric; figure; issn; power; system; technology; transfer; use; vehicle; vol; wireless; wpt
• Development of a Probabilistic Framework for Enhanced Vision Safety in Driver Assistance Systems by Rajesh D. Thakare (2024) - This paper discusses the design and implementation of a real-time pothole detection system that employs a GPS module to locate potholes, a Raspberry Pi, an ESP32 microcontroller, a camera for image processing, and a 16x2 LCD to display pothole detection and GPS locations in real-time. Color histogram similarity is frequently used to compare an image's color distribution with a reference histogram of potholes in the context of pothole detection. Keywords: analysis; das; detection; fig; image; module; pothole; road; system; time
• Advanced Analytical and Numerical Studies on Coupled Schrödinger Equations with Fractional Order Damping by Iftekher S. Chowdhury (2024) - Parameter Sensitivity Analysis: The sensitivity of the system's dynamics to changes in fractional damping parameters (η and α) was systematically explored. Implications for Quantum Control and Photonic Devices The ability to predict and manipulate the onset of bifurcations through fractional damping parameters offers a powerful tool for quantum control applications. Keywords: analysis; damping; dynamics; equations; fractional; quantum; system
• A Mathematical Framework for Simultaneous Voltage and Frequency Regulation in Distributed Generator (DG) Grid-Interfaced Systems by Chandra Sekhar Mishra (2024) - The ongoing development of these models reflects a significant area of research in the mathematical analysis of power systems, Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 4s (2024) 635 https://internationalpubls.com emphasizing the need for robust, scalable solutions to ensure sustainable and efficient energy distribution. By means of droop control terminology deviation in output voltage may lead to variation in output power and results a fluctuation in DG power. Keywords: analysis; ccvsi; control; droop; frequency; grid; ieee; impedance; issn; load; power; system; voltage

• Growing a Sustainable Future: Exploring the Benefits and Challenges of Green Entrepreneurship by Thaya Madhavi (2024) - This deceptive behavior can mislead consumers who are seeking genuinely environmentally friendly products and services, highlighting the need for regulatory frameworks to ensure transparency and accountability in green business practices. 2.5 Sustainable Green Business Models Sustainable green business models play a vital role in establishing environmentally friendly and sustainable businesses. Keywords: business; development; eco; entrepreneurship; green; issn; market; models; opportunities; practices; products; sustainability; vol
• Flexibility for Creativity and Creativity in Sustainable Business by L.V.V.Nagaraju (2024) - dialogue has been advanced about the riding-forces of eco-creativitys and numerous empirical studies courting from 1997 to 2007 display following outcomes (Horbach, 2008): High quality effect of useful resource charges and environmental expenses on environ- mental improvements Effective have an impact on of community activities and R&D, development of technological competencies thru establishing a R&D department as an input on environmental creativity Waste disposal measures and product take-lower back systems are diagnosed as drivers of environmental product creativities Environmental management tools and the possibility of cost financial savings are essential for the introduction of cleanser technologies A growth within the predicted demand triggers eco-creativity. Introduction Over the past 5 years, there was an overcoming interest in eco- creativity that is visible as one of the primary challenges of 21st century that always needs to be transformed into new enterprise possibilities. Keywords: business; creativity; eco; enterprise; improvements; issn; models; product; tesla
• A Mathematical and Analytical Solution for MHD Boundary Layer Flow and Heat Transfer of a Nanofluid Over a Stretching Sheet Using the Homotopy Analysis Method by Bijay Kumar Mandal (2024) - No. 8s (2024) 325 https://internationalpubls.com 𝑥 In Figs 15–17, the effect of magnetic parameter ( M ), suction/injection parameter ( S ) and chemical reaction on fluid flow field are discussed by considering velocity profiles for nanofluids as well as hybrid nanofluids over a shrinking sheet. Throughout the years different researchers have studied stretching of sheet flows, and their complexity associated with fluid dynamics and heat transfer mechanisms. Keywords: analysis; boundary; conditions; field; flow; fluid; heat; hybrid; issn; nanofluid; nonlinear; sheet; shrinking; solution; stretching; temperature; transfer; vol
• Dufour Effects on Unstable MHD Viscoelastic Fluid Flow in Porous Vertical Media Current Pressure Gradient by S. Kesavarani (2024) - We get other following ordinary differential equations Zeroth Order Equations 𝑢00 ″ − (𝑚2 + 1 𝑘𝑝 ) 𝑢00 = −𝐺𝑐𝑐0 − 𝐺𝑟𝑇0 (20) 𝑢01 ″ − (𝑚2 + 1 𝑘𝑝 ) 𝑢01 = −𝑢00 ‴ (21) No. 8s (2024) 369 https://internationalpubls.com 𝑢10 ″ − (𝑚2 + 1 𝑘𝑝 + 𝑖𝑤 4 ) 𝑢10 = −𝐺𝑐𝑐1 − 𝐺𝑟𝑇1 (22) 𝑢11 ″ − (𝑚2 + 1 𝑘𝑝 + 𝑖𝑤 4 ) 𝑢11 = −𝑢00 ‴ − 𝑢10 ‴ Keywords: flow; fluid; heat; issn; mhd; plate
• Urban Drainage Network Structure Optimization Using Emperor Penguin Optimization Algorithm by J. Suganthi (2024) - The study will provide valuable insights into the optimal design of urban drainage technologies which take into account pipeline redundancy, helping policymakers and urban planners make informed decisions about improvingthe adaptability of urban drainage networks. Optimal layout and pipe sizing of urban drainage networks to improve robustness and rapidity. Keywords: algorithm; analysis; communications; drainage; emperor; evaluation; fig; issn; network; node; optimization; pipeline; redundancy; systems; urban; vol; water
• Yara-Based Emotet Malware Scanner – A Factual Analysis by Priya P Sajan (2024) - This project focuses on leveraging YARA rules to enhance detection capabilities for Emotet malware, ensuring a more effective defense against these sophisticated threats. The return of Emotet malware in the midst of the 2022 tax season in the United States is a prime example of innovative techniques used by hackers to take advantage of current and relevant themes for phishing efforts. Keywords: analysis; detection; emotet; file; issn; malware; memory; rules; security; techniques; threat; vol; yara
• Probiotics and Ascorbic Acid Specialized Product: Production and Quality Indicators by Lobach Evgenia Yurievna (2024) - 25-11-2024 Abstract: A new type of probiotic coated tablets for particular nutritional uses has been developed, intended for children and adults, including pregnant and breastfeeding women. Comprehensive studies of the product intended for particular nutritional uses allowed us to establish its high quality as regulated by applicable standards, as well as the shelf life of 1 year at a temperature of 25±5ºC and a relative humidity of 75%. Keywords: analysis; communications; dragées; food; indicators; issn; probiopan; product; quality; res; sci; table; vol
• Optimizing Communication Systems with Applied Nonlinear Analysis Techniques by Pawan Arunkumar Upadhye, et al. (2023) - However, communication systems strengthened by nonlinear analysis have a bright future ahead of them. With new technologies like artificial intelligence (AI) and machine learning positioned to be powerful partners that may accelerate and simplify nonlinear optimisation, the field of communication systems seems set for a period of intelligent, responsive, and adaptive networks. Keywords: analysis; communication; communication systems; https://internationalpubls.com; issn; methods; models; nonlinear; optimisation; signal; systems; techniques; vol
• Enhanced Image Segmentation in Breast Cancer Classification Leveraging Deep learning by Talari Swapna (2024) - The techniques for image segmentation, image enhancement, and background removal are considered in this approach. This research aims to propose effective approaches for image segmentation and enhancement. Keywords: analysis; background; breast; cancer; clahe; classification; cnn; contrast; enhancement; et.al; feature; image; issn; layer; means; research; segmentation; vol
• A Genetic Algorithm Approach to Segment Household Objects from an Image by Smita Gour (2025) - Keywords: Segmentation, Genetic Algorithm, K-means Clustering, Watershed algorithm, House-hold Objects 1.Introduction The process of segregating an image into regions which are of non-overlapping, connected, homogenous in nature is termed as Image Segmentation. Three key phases of image segmentation—classic segmentation, collaborative segmentation, and semantic segmentation based on deep learning—are mostly examined in accordance with the segmentation principles and features of the picture data. Keywords: algorithm; analysis; communications; fitness; image; image segmentation; issn; number; object; segmentation; vol; watershed
• Optimization of END -OF -LIFE strategies- Air conditioners by Jonnagiri Sowmya (2025) - • Recycling costs at recycling centers (RC). • Operating Cost (OCost): Expenditures related to the day-to-day operations of the system. Keywords: analysis; centers; communications; cost; issn; j j; level; remanufacturing; reprocessing; technology; vehicle; vol
• Fabrication And Design Of Sustainable Natural, Artificial And Hybrid Fiber Composites For Automotive And Aerospace Applications Using Coconut, Banana, And Jute Fibers by Manoj Shalikrao Patil (2025) - Figure 1: A view of composites emergence The common natural fibres shown in Figure 2—banana, jute, coconut, and sisal—are all thought to be appropriate for natural fibre composites made of epoxy resin. Natural fibre composites are the perfect way through which automakers can reduce their carbon footprint and improve fuel economy by fusing performance and sustainability. Keywords: aerospace; analysis; applications; composites; epoxy; fibers; fibres; flax; hemp; high; hybrid; issn; jute; materials; natural; panels; plant; properties; sisal; strength; tensile; vol
• A Study on Growth and Development of Road Construction Projects in India by Gaurav Gautam (2024) - Keywords: Road construction industry, Indian economy, growth and development of highway in India, problem and issues etc. Shrouk Awaad et al.'s (2024) research develops a material supply chain (MSC) structure to oversee best practices in road construction projects at all stages. Keywords: analysis; building; chain; construction; development; growth; india; industry; infrastructure; issn; management; projects; road; sector; supply
• Retracted by Retracted (2025) - Recognizing the benefits of integrating rural agriculture, pastoralism, and leisure tourism, China has consistently introduced policies to promote rural tourism development. Recent national strategies, including rural revitalization, industrial restructuring, and the promotion of China's beautiful leisure villages and national pastoral complexes, have guided rural tourism development (Dai, Jiang, Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 Keywords: agricultural; agrotourism; analysis; areas; china; complexes; development; et al; issn; journal; land; pastoral; resources; rural; study; sustainability; tourism; vol
• Nonlinear Static Analysis-an Advanced Analytical Approach to Mitigate Seismic Risks of Overhead Circular Water Tank by Chetan Jaiprakash Chitte (2025) - capacity tank through the force-displacement curve, hinge formation pattern, and period of the tank for variable staging heights of tanks 18m, 14m and 10m. The value of the base shear for the 14m staging height tank is around three times the 10m staging height tank and for the 18m staging tank, it is around eight times. 4.1 Pushover Analysis of 18m staging height Tank: Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s (2025) 1552 https://internationalpubls.com Table 3: Pushover results for 18m staging height Tank Step Monitored Displacement (mm) Base Force (kN) 0 0.00 0.00 1 16.44 396.82 2 23.23 528.23 3 89.95 1355.96 4 159.92 2198.95 5 170.71 2329.33 6 170.71 2153.75 7 252.29 3114.54 8 252.30 3020.72 9 280.42 3351.92 10 280.43 3326.35 11 327.61 3867.47 12 327.61 3838.50 13 330.46 3875.37 Figure 10: Pushover Curve for 18m Staging Height From Table 3 and Figure 10, it can be seen that for 18m staging height, a higher base shear value is observed due to increased mass and dynamic effects compared to shorter tanks. Keywords: analysis; figure; height; hinges; issn; performance; pushover; staging; tank; vol; water
• Numerical Exploration and Statistical Analysis of Mathematical Parameters of Anti Reflecting Coating on Operational Parameters Improvement of Solar Cell by Sunil Kumar Chaudhary, Vineeta Chauhan, Sunil Kumar Gupta, Babita Jain, Ashish Raj, (2024) - [6] Meng, L.; Shi, L.; Ge, Y.; Tang, J.; Chen, Y.; Zhong, H. Photon Management of Combining Nanostructural Antireflection and Perovskite Down-Shifting Composite Films for Improving the Efficiency of Silicon Solar Cells. [17] Aroutiounian, V.M.; Martirosyan, K.; Soukiassian, P. Low Reflectance of Diamond-like Carbon/Porous Silicon Double Layer Antireflection Coating for Silicon Solar Cells. Keywords: analysis; antireflection; arc; cells; coating; communications; efficiency; energy; issn; layer; light; mater; performance; silicon; sol; surface; vol; wavelength
• Artificial Viscosity Stabilization of Meshless Methods for Shallow Water Flows in Channels by Mariam Ijerch, Mohamed Sadik (2025) - 3.1.2 Spatial discretization of SWEs using Kansa method In this section, we will describe the implementation of Kansa method for shallow water equations. Keywords: analysis; equations; flow; issn; kansa; method; nonlinear; numerical; pum; rbf; vol; water
• Certain Bounds for a Subclasses of Analytic Functions of Reciprocal Order by K. Dhanalakshmi (2025) - Let :E denote the class of bi-univalent functions in 1U given by (1.1). In 1967, Lewin [8] introduced the class :E of bi-univalent functions and shown that la2 1 < 1.51. Keywords: issn
• Graph Theory: Fundamental and Applications in Mathematics by J. Satish Kumar (2025) - E. Challenges and Open Research Problems Extensive research in the field has not solved all the difficulties which prevent complete understanding of graph theory applications. The many fields such as computer science, engineering, medical research and social network analysis benefited substantially from the development of graph theory research. Keywords: algorithm; analysis; applications; graph; issn; mst; networks; optimization; research; theory; vol; |𝑉|
• Optimizing Washing Machine Efficiency with a Fuzzy Logic Control System using Python by A. Arokiamary, K. Raja, L. Jethruth Emelda Mary (2025) - Keywords: Python; Fuzzy logic system; Artificial Intelligence; Rule Viewer; MATLAB. To achieve these advantages in an economical way, this washing machine uses fuzzy logic system with some of these three major input parameters: 1. Keywords: issn; logic; python; time; washing
• Chaotic-Maps Based Low Complex Image Encryption for Secured Drone Deliveries by Siva Ganesh Golla (2025) - The study conducts image encryption on different input images and verifies the robustness of the designed technique using standard approaches like statistical analysis, differential attack analysis, information entropy, time analysis, and the key-analysis. 10 is the diffused image obtained after performing the EX-OR operation between remainders of the random vector generated by the Tent map and original image. Keywords: analysis; encryption; fig; image; issn; key; map; technique; vol
• Tourism Recovery: A Non-Linear Resident-Centric Analysis of its Educational and Socioeconomic Impacts in Southern Cebu, Philippines by Ma. Leslie B. Basallo (2025) - This indicates that the female perspective dominates the survey responses, potentially influencing the perception of tourism impacts. Resident attitudes toward tourism impacts in Hawaii. Keywords: analysis; cebu; development; growth; impacts; income; issn; opportunities; table; tourism; vol
• A Study on Psychological Challenges and Performance in IT/ITEs Sector Couples by M Karuna Sudha, S. Babu Rajendra Prasad (2025) - Women employees exhibit dissatisfaction by performing below their actual ability when their needs are not fulfilled by the organization and hence it is good for the organizations to work on women employees well being at work place. Doctorate 0 0 Master’s 80 24.61 Bachelor’s 190 58.46 Others 55 16.92 Total 325 100 Table 4 shows that majority of the sample i.e., 58.46% of IT women employees are graduates from various disciplines like Engineering, Arts, Science, Humanities, Commerce etc. Keywords: employees; india; industry; issn; ites; management; study; vol; women
• Evaluation of Road Conditions for Walkability on Main Roads in the Miraflores District, Lima, 2023. by Tania Cama (2024) - Urban roads are the setting for traffic, vehicles serve as the means, and the human factor, whether it be the driver, pedestrian, or passenger, is the protagonist. Abstract: The research Assessment of Road Conditions for Walkability on Main Roads in the District of Miraflores, Lima, 2023 analyzes the conditions of three key avenues in Miraflores during 2023, focusing on comfort, visual quality, and pedestrian safety. Keywords: analysis; avenue; city; comfort; conditions; design; issn; pedestrian; quality; researchers; road; safety; sidewalks; traffic; urban; visual; vol; walkability
• India's Role in Advancing the United Nations Sustainable Development Goals: Challenges and Opportunities by Pushpa Rani (2025) - The paper also examines India's various challenges in achieving Sustainable Development Goals (SDGs). No. ICMASD (2025) 202 https://internationalpubls.com highlights the challenges India faces in achieving Sustainable Development Goals (SDGs) and discusses future options to promote these goals. 2.3. Keywords: aayog; analysis; development; development goals; global; government; india; international; issn; national; nations; niti; poverty; progress; sdgs; social; united; vol
• Role of Industrial Training in Enhancing the Employability of Hospitality Students : A Review Paper by Geetika Joshi (2025) - Building on prior research in internship design, the study examined the characteristics of student internships through the lens of a job characteristics model. Specifically, student internships within companies were identified as the most impactful activity, followed by joint projects between universities and industry, and the involvement Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. ICMASD (2025) 231 https://internationalpubls.com of companies in modernizing university curricula. Keywords: analysis; career; employability; hospitality; hotel; icmasd; industry; internship; issn; research; satisfaction; students; study; tourism; training; vol
• Destination Food Image and Traveller’s Visit Intentions Leading to Culinary Tourism: A Review Paper by Amit Joshi (2025) - The framework provides a valuable lens for understanding the motivations and experiences of food tourists in Finland, offering insights for tourism development and marketing strategies. The study undertaken gives indepth knowledge into the diverse motivations and expectations of food tourists, highlighting the importance of understanding these nuances for developing effective culinary tourism strategies in destinations like Lima. 25. Keywords: analysis; analysis issn; communications; culinary; destination; food; food image; https://internationalpubls.com; icmasd; image; intentions; issn; research; study; tourism; tourists; vol
• Environmental Sustainability Practices in Hospitals of Punjab by Samriti Devi (2025) - Against this backdrop, the objective of the present study is to investigate the status of implementation of environmental sustainability practices in the public and private hospitals in the state of Punjab. The overall sustainability index achieved a mean score of 2.52, reflecting a moderate implementation of environmental sustainability practices in the sampled hospitals. Keywords: analysis; communications; conservation; energy; environmental; google scholar; healthcare; hospitals; icmasd; issn; management; patient; practices; punjab; sustainability; version; vol; water
• Development and Validation of the Perceived Problems Scale for Female Police Officers by Aahana Saha (2025) - Description of major problems faced by female police officers S. No Subscales Description 1 Workplace Integration The extent to which female police personnel feel included and integrated into the overall work environment, including being valued and respected by colleagues and superiors. No. ICMASD (2025) 1054 https://internationalpubls.com Development and Validation of the Perceived Problems Scale for Female Police Officers Aahana Saha1*, Rubina Anjum1, D.J Singh1 1 CT University, India Corresponding Author’s email address: aahana.saha30@gmail.com Article History: Received: 12-12-2024 Revised: 25-01-2025 Accepted: 05-02-2025 Abstract: The Perceived Problems Scale (PPS) is a robust psychological assessment tool designed to measure the subjective challenges faced by female police officers in their professional environment. Keywords: analysis; factor; icmasd; issn; job; officers; police; validity; vol; work
• cana-5142 by None (None) - SRTU 1 26020.85 99.71 11803 5.92 1.06 4.5 81.08 15762.74 5.2 77.75 1163 47.31 23.07 1.19 1.16 3.98 2.03 SRTU 2 185.31 49.77 639 5.37 24.17 2.71 19.33 245.83 3.79 87.08 71 45.66 26.78 1.84 0.82 9.78 8.94 SRTU 3 12775 84.12 5615 6.6 10.6 5.08 33.58 4152.85 3.74 71.39 286 52.95 28.4 0.6 3.5 1 5.41 SRTU 4 266 59.59 345 15 100 1.88 59.74 237.68 4.66 164 13 22.91 44.27 2.13 1.33 0 0 SRTU 5 11004.48 84.62 3295 9.2 51.39 6.35 25.93 2340.11 1.94 81.19 125 21.22 5.27 0 0.06 65.9 2.1 SRTU 6 7436.94 85.58 6882 5.41 32.68 4.99 76.92 11271.75 5.38 68.77 674 35.54 40.66 1.55 1.4 2.02 6.36 SRTU 7 43.24 57.42 294 10 27.6945 4.19 19.09 149.58 4.23 66.29 10 39.93 16.18 0.36 1.46 0 3.33 SRTU 8 10986.09 91.65 8045 5.26 37.6 4.4 75.22 10598.57 4.87 71.4 1018 40.92 38.06 1.42 2.5 0.57 5.68 SRTU 9 9524 80.08 4548 7.09 0 5.84 45.84 5546 4.12 84.44 1083 29.99 29.55 0.12 0.19 8.43 2.45 SRTU 10 24078.48 87.33 16414 7.1 6.18 5.42 54.8 20377.97 4.57 69.14 3310 41.77 33.5 1.76 1.57 0.02 3.03 SRTU 11 2.52 41.9346 26 8 49 3.56 30.66 24.73 5.01 63.66 3 63.88 21.8 1.85 3.43 0 6.18 SRTU 12 4945.75 86.33 4134 4.63 26 4.3 68.72 5160.9 5.25 58.53 323 46.9 35.74 1.67 1.31 0.48 5.94 SRTU 13 8205.2 94.4 4711 7.31 42.6 4.74 68.19 5890.17 5.12 64.27 449 46.14 36.7 1.55 1.5 0.49 4.32 SRTU 14 71.7 93.65 413 5.12 5 3.49 61.23 343.72 4.81 93.24 30 26.32 50.41 2.45 2.38 0 7.72 SRTU 15 0.28 100 1138 8 29 3.73 98.68 1529.65 4.69 100.05 112 32.89 33.1 0.67 0.83 0 2.15 SRTU 16 3106.89 71.73 3798 6.31 35.81 2.89 97.51 5437.74 5.03 87.49 187 41.34 22.45 1.1 1.33 3.43 2.46 SRTU 17 214 80.85 726 6.24 24.52 3.11 63.71 649.5 4.59 81 23 30.02 31.65 1.16 2.89 12.36 4.51 SRTU 18 35 605.75 99.76 10456 7.66 26.05 4.83 70.79 13088.44 1.94 73.12 772 39.91 23.66 1.02 2.34 3.18 2.92 SRTU 19 6015.69 97.77 11615 5.7 12.13 1.78 187.74 14497.28 5.23 68 751 35.59 28.55 1.48 2.69 0 3.87 SRTU 20 377.83 94.47 1264 7.5 29.3 2.58 114.22 1438.26 4.81 90.48 74 41.97 34.27 1.56 1.5 0 4.02 SRTU 21 1023 65.96 783 4.57 10.8 3.39 19.23 282 1.94 75.61 80 40.41 44.88 0.66 1.86 0 12.19 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 8s (2025) 921 https://internationalpubls.com Table-3: Normalized decision matrix SRTU Fl F2 F3 F4 F5 F6 F7 F8 F9 F10 Fil F12 F13 F14 F15 F16 F17 SRTU 1 0.4589 0.2622 0.3964 0.1745 0.0066 0.2356 0.2337 0.4162 0.2544 0.2030 0.2854 0.2554 0.1548 0.1857 0.1301 0.0580 0.0837 SRTU 2 0.0033 0.1309 0.0215 0.1583 0.1497 0.1419 0.0557 0.0065 0.1854 0.2273 0.0174 0.2464 0.1797 0.2871 0.0920 0.1426 0.3688 SRTU 3 0.2253 0.2212 0.1886 0.1946 0.0657 0.2659 0.0968 0.1097 0.1830 0.1864 0.0702 0.2858 0.1906 0.0936 0.3925 0.0146 0.2232 SRTU4 0.0047 0.1567 0.0116 0.4422 0.6194 0.0984 0.1722 0.0063 0.2280 0.4281 0.0032 0.1237 0.2971 0.3323 0.1492 0.0000 0.0000 SRTU 5 0.1941 0.2225 0.1107 0.2712 0.3183 0.3324 0.0747 0.0618 0.0949 0.2119 0.0307 0.1145 0.0354 0.0000 0.0067 0.9606 0.0866 SRTU 6 0.1312 0.2250 0.2311 0.1595 0.2024 0.2612 0.2217 0.2976 0.2632 0.1795 0.1654 0.1918 0.2728 0.2418 0.1570 0.0294 0.2623 SRTU 7 0.0008 0.1510 0.0099 0.2948 0.1715 0.2193 0.0550 0.0039 0.2070 0.1730 0.0025 0.2155 0.1086 0.0562 0.1637 0.0000 0.1374 SRTU 8 0.1938 0.2410 0.2702 0.1551 0.2329 0.2303 0.2168 0.2799 0.2383 0.1864 0.2498 0.2209 0.2554 0.2216 0.2804 0.0083 0.2343 SRTU 9 0.1680 0.2106 0.1527 0.2090 0.0000 0.3057 0.1321 0.1464 0.2016 0.2204 0.2658 0.1619 0.1983 0.0187 0.0213 0.1229 0.1011 SRTU 10 0.4247 0.2296 0.5512 0.2093 0.0383 0.2837 0.1579 0.5381 0.2236 0.1805 0.8124 0.2255 0.2248 0.2746 0.1761 0.0003 0.1250 SRTU 11 0.0000 0.1103 0.0009 0.2358 0.3035 0.1864 0.0884 0.0007 0.2451 0.1662 0.0007 0.3448 0.1463 0.2886 0.3847 0.0000 0.2549 SRTU 12 0.0872 0.2270 0.1388 0.1365 0.1610 0.2251 0.1980 0.1363 0.2569 0.1528 0.0793 0.2531 0.2398 0.2606 0.1469 0.0070 0.2450 SRTU 13 0.1447 0.2482 0.1582 0.2155 0.2639 0.2481 0.1965 0.1555 0.2505 0.1678 0.1102 0.2490 0.2463 0.2418 0.1682 0.0071 0.1782 SRTU 14 0.0013 0.2463 0.0139 0.1509 0.0310 0.1827 0.1765 0.0091 0.2354 0.2434 0.0074 0.1421 0.3383 0.3823 0.2669 0.0000 0.3184 SRTU 15 0.0000 0.2630 0.0382 0.2358 0.1796 0.1953 0.2844 0.0404 0.2295 0.2612 0.0275 0.1775 0.2221 0.1045 0.0931 0.0000 0.0887 SRTU 16 0.0548 0.1886 0.1275 0.1860 0.2218 0.1513 0.2810 0.1436 0.2461 0.2284 0.0459 0.2231 0.1506 0.1716 0.1492 0.0500 0.1015 SRTU 17 0.0038 0.2126 0.0244 0.1839 0.1519 0.1628 0.1836 0.0172 0.2246 0.2114 0.0056 0.1620 0.2124 0.1810 0.3241 0.1802 0.1860 SRTU 18 0.6280 0.2623 0.3511 0.2258 0.1613 0.2528 0.2040 0.3456 0.0949 0.1909 0.1895 0.2154 0.1588 0.1591 0.2624 0.0464 0.1204 SRTU 19 0.1061 0.2571 0.3901 0.1680 0.0751 0.0932 0.5411 0.3828 0.2559 0.1775 0.1843 0.1921 0.1916 0.2309 0.3017 0.0000 0.1596 SRTU 20 0.0067 0.2484 0.0424 0.2211 0.1815 0.1351 0.3292 0.0380 0.2354 0.2362 0.0182 0.2265 0.2300 0.2434 0.1682 0.0000 0.1658 SRTU 21 0.0180 0.1734 0.0263 0.1347 0.0669 0.1775 0.0554 0.0074 0.0949 0.1974 0.0196 0.2181 0.3012 0.1030 0.2086 0.0000 0.5028 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 Weighted normalized decision matrix SRTU F1 F2 F3 F4 F5 F6 F7 F8 F9 F10 Fil F12 F13 F14 F15 F16 F17 SRTU 1 0.0950 0.0107 0.0686 0.0063 0.0002 0.0101 0.0058 0.0475 0.0036 0.0134 0.0240 0.0010 0.0071 0.0015 0.0030 0.0019 0.0041 SRTU 2 0.0007 0.0054 0.0037 0.0057 0.0054 0.0061 0.0014 0.0007 0.0026 0.0150 0.0015 0.0010 0.0083 0.0023 0.0021 0.0047 0.0181 SRTU 3 0.0466 0.0091 0.0326 0.0070 0.0024 0.0114 0.0024 0.0125 0.0026 0.0123 0.0059 0.0011 0.0088 0.0007 0.0090 0.0005 0.0109 SRTU4 0.0010 0.0064 0.0020 0.0159 0.0223 0.0042 0.0043 0.0007 0.0032 0.0283 0.0003 0.0005 0.0137 0.0027 0.0034 0.0000 0.0000 SRTU 5 0.0402 0.0091 0.0191 0.0098 0.0115 0.0143 0.0019 0.0070 0.0013 0.0140 0.0026 0.0005 0.0016 0.0000 0.0002 0.0317 0.0042 SRTU 6 0.0272 0.0092 0.0400 0.0057 0.0073 0.0112 0.0055 0.0339 0.0037 0.0118 0.0139 0.0008 0.0126 0.0019 0.0036 0.0010 0.0129 SRTU 7 0.0002 0.0062 0.0017 0.0106 0.0062 0.0094 0.0014 0.0005 0.0029 0.0114 0.0002 0.0009 0.0050 0.0004 0.0038 0.0000 0.0067 SRTU 8 0.0401 0.0099 0.0467 0.0056 0.0084 0.0099 0.0054 0.0319 0.0033 0.0123 0.0210 0.0009 0.0117 0.0018 0.0064 0.0003 0.0115 SRTU 9 0.0348 0.0086 0.0264 0.0075 0.0000 0.0131 0.0033 0.0167 0.0028 0.0145 0.0223 0.0006 0.0091 0.0001 0.0005 0.0041 0.0050 SRTU 10 0.0879 0.0094 0.0954 0.0075 0.0014 0.0122 0.0039 0.0613 0.0031 0.0119 0.0682 0.0009 0.0103 0.0022 0.0040 0.0000 0.0061 SRTU 11 0.0000 0.0045 0.0002 0.0085 0.0109 0.0080 0.0022 0.0001 0.0034 0.0110 0.0001 0.0014 0.0067 0.0023 0.0088 0.0000 0.0125 SRTU 12 0.0181 0.0093 0.0240 0.0049 0.0058 0.0097 0.0050 0.0155 0.0036 0.0101 0.0067 0.0010 0.0110 0.0021 0.0034 0.0002 0.0120 SRTU 13 0.0300 0.0102 0.0274 0.0078 0.0095 0.0107 0.0049 0.0177 0.0035 0.0111 0.0093 0.0010 0.0113 0.0019 0.0039 0.0002 0.0087 SRTU 14 0.0003 0.0101 0.0024 0.0054 0.0011 0.0079 0.0044 0.0010 0.0033 0.0161 0.0006 0.0006 0.0156 0.0031 0.0061 0.0000 0.0156 SRTU 15 0.0000 0.0108 0.0066 0.0085 0.0065 0.0084 0.0071 0.0046 0.0032 0.0172 0.0023 0.0007 0.0102 0.0008 0.0021 0.0000 0.0043 SRTU 16 0.0113 0.0077 0.0221 0.0067 0.0080 0.0065 0.0070 0.0164 0.0034 0.0151 0.0039 0.0009 0.0069 0.0014 0.0034 0.0017 0.0050 SRTU 17 0.0008 0.0087 0.0042 0.0066 0.0055 0.0070 0.0046 0.0020 0.0031 0.0140 0.0005 0.0006 0.0098 0.0014 0.0075 0.0059 0.0091 SRTU 18 0.1300 0.0108 0.0607 0.0081 0.0058 0.0109 0.0051 0.0394 0.0013 0.0126 0.0159 0.0009 0.0073 0.0013 0.0060 0.0015 0.0059 SRTU 19 0.0220 0.0105 0.0675 0.0060 0.0027 0.0040 0.0135 0.0436 0.0036 0.0117 0.0155 0.0008 0.0088 0.0018 0.0069 0.0000 0.0078 SRTU 2O 0.0014 0.0102 0.0073 0.0080 0.0065 0.0058 0.0082 0.0043 0.0033 0.0156 0.0015 0.0009 0.0106 0.0019 0.0039 0.0000 0.0081 SRTU 21 0.0037 0.0071 0.0045 0.0048 0.0024 0.0076 0.0014 0.0008 0.0013 0.0130 0.0016 0.0009 0.0139 0.0008 0.0048 0.0000 0.0246 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 Keywords: alternatives; analysis; criteria; issn; methods; performance; ranking; similarity; srtu; transport; vol
• Current Assessment of Knowledge Attitude and Practice Patterns in Management of Diabetes and Diabetic Retinopathy: A Systematic Review by Pablo Chandra (2025) - Analyzing individual research studies elucidates the nuanced factors influencing KAP amounts one of diabetic patient and highlights the necessity for targeted interventions to resolve knowledge gaps, enhance attitudes, and market far healthier practices (Ntentakis et al. Effect of a diabetes counseling programme on knowledge, attitude and practice among diabetic patients in Erode district of South India Malathy et al., (2011) Keywords: analysis; attitude; awareness; care; communications; diabetes; diabetic; icmasd; india; issn; journal; kap; knowledge; patients; practice; research; respondents; retinopathy; screening; study; vol
• Nanofibers: Transforming Drug Delivery with Innovation by Harminder Pal Singh (2025) - Applications of polymer nanofibers extend beyond drug delivery to include tissue engineering, wound dressings, filtration membranes and energy storage devices. Most importantly, polymer nanofibers have astructural shape that is remarkably similar to that of thenatural extracellular matrix, allowing them to protect sup-porting cells and encourage cell proliferation while also healing damaged tissues [48-54]. Keywords: acid; analysis; cells; communications; delivery; drug; drug delivery; electrospinning; electrospun; et al; icmasd; issn; mater; method; nanofibers; oral; pcl; polymer; process; release; solution; surface; tandon; tissue; vol; wound
• Herbal Drugs in the Management of Osteoarthritis by Aakriti Saini (2025) - R, Tandon. N (2023), Recent advancements in coumarin based colorimetric and fluorescent chemosensors, Inorganic Chemistry Communications, 158, 111480, https://doi.org/10.1016/j.inoche.2023.111480 [88] Wang, Z., Jones, G., Winzenberg, T., Cai, G., Laslett, L. L., Aitken, D., Hopper,, Singh, A., Jones, R. B., Fripp, J., Ding, C., & Antony, B. (2020). Abrus precatorius L. Fabaceae Root 2. Keywords: activity; analysis; cartilage; communications; disease; fabaceae; https://internationalpubls.com; icmasd; inflammation; issn; joint; osteoarthritis; pain; risk; root; seed; stem; tandon; treatment; vol
• Study & Performance of Recycled Polymer E-Waste in Concrete by Pragati Sahu, Swati Agrawal (2025) - Due to low workability of E waste concrete with excess deflection, the concretes gets porous and it also affects the strength of the concrete. By adding fly ash in E waste concrete, the workability may be increased due to the presence of silica which could react with calcium hydroxide which leads to form C-S-H gel in concrete. Keywords: aggregate; analysis; concrete; issn; materials; strength; table; waste
• Quantum Computing Algorithms and Potential Impact on Cryptography by S. Balamuralitharan (2025) - The paper presents an organizational framework to guide digital system preparations for quantum computing security along with a discussion of real-world barriers to migration The upcoming quantum computers require fast action from institutions to adopt post-quantum security systems even though such computers remain several years from readiness. Keywords: algorithms; analysis; computing; cryptography; doi; encryption; issn; key; quantum; security; systems; vol
• Reimagining Urban Food Space: Redesigning Shastri Bazar A Fruit and Vegetable Market at Raipur, Cg, India by Ar. Aafreen Saleem (2025) - The type of issues includes designing markets that meet a community’s social and economic needs, working with communities to identify their marketing problems, planning the site and layout and preparing a market development proposal undertaking simple, social and trading, feasible studies, looking in urban growth rate and consumption rate per day for constructing the market and managing and maintaining the market on urban scale with time. v. People move around in he market with their vehicles in the market since no safe parking is provided. Keywords: 10s; analysis; building; fruit; issn; market; need; place; site; space; vegetable
• A Comprehensive Overview of Herbal Contaminants and Residues: Regulations and Analytical Methods. by Geetanjali Saini (2025) - Liquid Chromatography-Mass spectrometry (LC-MS): Liquid Chromatography-Mass spectrometry (LC-MS) was used to analyse the pesticide residue in herbal plants. The parameters for sample processing and preparation were optimized in this study to select an appropriate extraction solvent from acetonitrile (ACN), ethyl acetate (EtAC), and their mixtures for residue analysis of several pesticides in various herbal plants, including dried mint, chamomile, and fennel seeds. Keywords: analysis; cadmium; chromatography; communications; contamination; effects; food; health; herbs; icmasd; issn; lead; levels; limits; materials; medicines; mercury; metals; mycotoxins; pesticides; plants; products; quality; vol
• Advancing Gender Equality through Budgetary Allocation by Rohini Kumari (2024) - One method for gender mainstreaming, ensuring that women receive their due benefits, and empowering women is gender budgeting. Keywords: Women, gender equality, gender budgeting, resource allocation, women empowerment. Keywords: allocation; analysis; budgeting; development; equality; gender; gender budgeting; government; india; issn; vol; women
• Python-Based Fuzzy Logic Control System for Optimizing Washing Machine Efficiency Instead of MATLAB by K.Raja, (2024) - Keywords---Python; Fuzzy logic system; Artificial Intelligence; Rule Viewer; MATLAB. To achieve these advantages in an economical way, this washing machine uses fuzzy logic system with some of these three major input parameters: 1. Keywords: issn; key; time; vol; wash
• Fuzzy Reliability, Bayesian Estimation and Goodness of Fit Test for A Novel One Parameter Model with Simulation Study and Application by Razika Grine (2025) - 𝑋𝑛 𝑇(𝜃�̂�)𝐵(�̂�)(𝐼(�̂�) − 𝐽(�̂�))−1𝐵 𝑇(�̂�)𝑋𝑛 (�̂�) It is a measure of the difference between the estimated value and the real value of this parameter (�̂� − 𝜔), it should have a real non-negative value and it is usually symbolized by L(�̂� − 𝜔). Keywords: analysis; communications; distribution; function; issn; loss; parameter; reliability; 𝑂𝑃𝑀
• Nonlinear Analysis of Steel Fiber Reinforced Recycled Aggregate Concrete under Compression, Tension, and Elevated Temperatures by Uday Shankar Patil (2024) - Lau A, Anson M. Effect of high temperatures on high performance steel fibre reinforced concrete. Similar to high strength concrete, significant loss of elastic modulus occurs between 200 and 600 degrees Celsius [31]. Keywords: aggregate; analysis; compressive; concrete; fibre; fig; issn; rac; specimens; steel; strain; strength; stress; temperature; vol; ° c
• Promoting Cultural Sustainability Through Instagram: Content Analysis of Reels Highlighting Dogra Cuisines by Chetna Sharma (2025) - High rates of engagement indicate high public interest in cultural food content, making the interplay between traditional cooking methods and modern digital presentation significant. So besides the engagement purposes, Instagram Reels act as a modern lever to impart relatability to traditional food content among today's youth, who interact in the digital space. Keywords: analysis; content; cuisine; culinary; culture; digital; dogra; engagement; food; heritage; instagram; issn; media; posts; practices; preservation; reels; vol
• Promoting Equality Through Sports: The Paralympic Games and Their Role in Social Change by Utkalika Priyadarshini (2025) - According to the authors who are numerous, another significant discovery is the unwillingness of sports media platforms to challenge ableist rhetoric in reporting disability and disability sports events, often associated with perceptions of lower ability and performance Pullen et al. (2018), as well as what is popularly called the 'supercrip' narrative, that celebrates heroic overcoming of barriers due to disability, McGillivray et al., (2021). Parasports, or disability sports, have grown over the past century from simple recreational activities into major international sporting events. Keywords: analysis; athletes; communications; content; coverage; digital; disability; engagement; games; icmasd; issn; media; para; paralympic; participation; platform; sports; viewers; vol
• Association of Poetry in Punjabi Bhain Newspaper and Contemporary Society. by Nirpal Singh (2025) - Jo Zuban Da4 In Veer Mohar Singh Ji Bashal Ferozpuri's poem 'Gift of Baisakhi', on the day of Baisakhi on 13 April 1699, Shri Guru Gobind Singh Ji had demanded five heads at the time of establishment of Khalsa. Pita De Sikhaaye Kive Bache Eh Shaheed Hoye , Fatehgarh Vich Dekho Guru Upkar Ja.9 Bir Santokh Singh hastold that in Fatehgarh the youngest sons of Sri Guru Gobind Singh Ji were carved in the wall. Keywords: analysis; bhain; communications; education; guru; icmasd; issn; jane; law; newspaper; nuh; poems; punjabi; sass; sikh; singh; time; vich; vidya; vol; women
• Advancing Sustainability in Tourism: A Comparative Analysis of Slow and Regenerative Tourism Approaches by Damanpreet Kaur (2025) - Received: 12-12-2024 Revised: 25-01-2025 Accepted: 05-02-2025 Abstract: As international tourism market grapples with the hurdles of environmental degradation and social inequity numerous concepts such as slow tourism and regenerative tourism have developed as an example of optimism for a more sustainable future. While slow tourism advocates for deceleration, cultural engagement, and meaningful associations with local communities, the concept of regenerative tourism goes beyond sustainability. Keywords: analysis; community; icmasd; issn; models; policies; research; sustainability; tourism; travel; vol
• Exploring the Past; History Behind Archaeology of the World by Rajwinder Kaur (2025) - Ancient Period (Up to 3rd Century BCE): The archaeology of ancient India, particularly up to the 3rd century BCE, provides valuable insights into the early civilizations, their culture, trade, politics, and religion. Indus Valley Civilization (c. 3300–1300 BCE) One of the most significant archaeological periods in ancient India is the Indus Valley Civilization or Harappan Civilization. Keywords: analysis; archaeology; british; century; civilization; history; india; issn; period; sites; study; vol
• Beyond the Screen: Examining the Differential Impact of Cyberbullying on Self-Esteem across Online Platforms by Pratap Singh Barth (2025) - Social media platforms equipped with components like public profiles, vast networks of connections and the capacity to distribute content widely could be conducive in generating an ecosystem for cyberbullying (Cénat et al., 2014). 2.1.1 Social Media: Amplified Visibility and Persistent Harassment Based on their public and interactive features, social media platforms put adolescents at a higher risk for cyberbullying. Keywords: analysis; cyberbullying; digital; email; engineering; gaming; issn; media; online; platforms; students
• Sentiment Classification of Emoji and Text: An Analysis of Model Families, Fusion Strategies, and Performance Gains by Sapandeep Singh Sandhu, Amanpreet Kaur Sandhu (2025) - Explicit late-fusion examples are rarer in emoji sentiment specifically; they are more common in multimodal sentiment involving images How to continuously learn new emoji sentiment without retraining from scratch? Keywords: accuracy; analysis; attention; communications; embeddings; emoji; et al; fusion; issn; lou; models; sentiment; text; twitter; vol; y. et
• A Review of Bipedal Walking Robots: History, Design, and Control Approaches by Mehak Singal, Vijayluxmi (2025) - mehak@rpiit.com, vijayluxmimeena@gmail.com Article History: Received: 06-07-2025 Revised: 15-08-2025 Accepted: 30-09-2025 Abstract: The development of bipedal robots has been a significant milestone in the field of robotics, aiming to replicate human-like walking, balance, and mobility. This research paper presents a comprehensive study of the evolution of bipedal robots from their inception to the latest advancements. Keywords: 10s; analysis; bipedal; communications; control; humanoid; issn; japan; locomotion; robotics; robots; usa; walking
• Active Code Completion: Integrating Specialized Code Generation Palettes into Development Environments by Teja Nagavardhan Talluri (2025) - Introduction Modern source code editors extensively use code completion to assist developers by offering contextually relevant options such as variables, methods, and code snippets, reducing errors and effort [14]. Existing enhancements to code completion, like leveraging usage history [17][9], API information [9][11], and crowdsourced data Keywords: analysis; articulation; class; code; completion; graphite; issn; java; members; programming; range; vol
• Tapping the Differences: An Exploration of Inclusive Marketing Approach by Established Brands Through Advertisements. by Harshada Raut (2025) - Effective strategies in diversity marketing have led notable brands like McDonald's, Proctor & Gamble, and Target to engage successfully with diverse markets, while inclusivity in advertising fosters community and connection through representation. Diversity marketing is used because various audiences react differently to different types of messaging. Keywords: advertising; analysis; beauty; brand; businesses; campaign; communication; community; consumer; diversity; inclusion; issn; marketing; new; people; research; vol
• A Comprehensive Review of the Literature of Corporate Social Responsibility (CSR) On Sustainability Development Goals (SDG) And Its Impacts. by Aarchana Hrushikesh Patil (2025) - Like instance in Maharashtra traditions women use to cook food early in morning and offer fresh food to “Vasudev” as a house hold CSR activity, every year during the outbreak of monsoon, small group of Waarakaris in Maharashtra would cluster in “Dindie”. CSR activities encircle two main facets accountability and transparency16. Keywords: activities; analysis; business; companies; company; corporate; csr; development; goals; india; initiatives; issn; research; responsibility; sdg; social; society; study; sustainability; vol
• Analytical Study of Various Measures of Successful Innovation Management in IT Companies: -With Reference to Various IT Companies Located in Maharashtra State by Smita Rohidas Temgire (2025) - Despite the growing body of research on innovation management, there is a notable lack of consensus on the metrics that define successful innovation management. For the present study 15 variables were analyzed to determine the employees’ perception about measures of innovation management in IT companies. Keywords: analysis; communications; impro; innovation; issn; knowledge; management; vol
• Connected Graph with Bacterial Graphs and Network Distance by T. Selvaraj (2024) - [1] B shows the treatment gradient Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 4s (2024) 116 https://internationalpubls.com A - hamming distance between the bacterial graphs tops rows and brain graph located at bottom bacterial graph – A B – MDS projections of the first two principal component Colour – phaser Shape – different subject In the graph c plot the next to next distance in between bacterial graph [c] G – distance between minimum spanning tree G hamming distance F – friedman – refsky test for significance for the diff data set E – cluster map of the fMRI graph G – minimum spanning tree between brain connections induced G The Jaccard distance It is union graph with respect to volume in normalization where ||.|| * mentions the Matrix of nuclear form. Tracking network dynamics using graph distances Here in a graph a node is assigned to each entity (or) player and interactions are modelled by edges. Keywords: analysis; bacterial; communications; distance; graph; issn; network; vol

• Laplacian Kernel Ruzicka Indexive Deep Multilayer Perceptive Network For Palm Prints Detection Classification by N. Kohila (2024) - [9] created a learning complete and discriminative direction pattern (LCDDP).This technique involved the utilization of local direction features extracted from palmprint images. The application of [1] 75 80 85 90 95 100 100 200 300 400 500 600 700 800 900 1000 P a lm p ri n t d et ec ti o n a cc u ra cy ( % ) Number of palmprint images LKRIDMPN JCLSR Simplified PalmNet-Gabor Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 Keywords: accuracy; analysis; detection; error; feature; image; input; lkridmpn; method; network; palmprint; recognition; step; time; vol
• Convolution Neural Network Based Brain Tumor Detection using MRI Scans by Vivek Agrawal (2024) - A deep learning for brain tumor MRI images semantic segmentation using FCN. Brain tumors can be benign or malignant in nature. Keywords: accuracy; analysis; brain; cancer; classification; figure; grade; images; malignant; method; mri; svm; tumor; vol; wavelet; wcnn
• Hybrid Textural Feature Descriptors for Ovarian Cyst Classification Using Machine Learning by Aditi Gupta (2024) - The research proposes a novel method to segregate ovarian ultrasound images into two classes – cystic and non-cystic or normal images. The research presents a novel technique for feature extraction from ovarian ultrasound images. Keywords: accuracy; analysis; classification; decision; features; images; lbp; logistic; machine; regression; svm; tree; ultrasound
• Accurate Identification of Leaf Disease using Yolov4 Algorithm by A.Yoganathan (2025) - 0.94 0.87 0.93 0.86 0.93 0.87 13. 0.94 0.88 0.94 0.87 0.94 0.88 14. 0.95 0.89 0.94 0.88 0.94 0.89 Table 2 represents the leaf disease detection accuracy of the comparison between YOLOv4 model and CNN models for precision agriculture was YOLOv4 mean accuracy with a standard deviation and a Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s (2025) 2535 https://internationalpubls.com standard error mean of [X]. Table 1 shows the comparison of accuracy, precision, and recall values of YOLOv4 and CNN models in leaf disease detection with various agricultural field conditions, involving challenging conditions of fluctuating lighting, overlapping leaves, and heterogeneous layouts. Keywords: accuracy; analysis; applications; cnn; comparison; detection; disease; leaf; models; plant; precision; time; yolov4
• An Advanced Ensemble Framework Employing Grey Wolf Optimization and Feature Selection Techniques for Enhanced Intrusion Detection on Unbalanced NSL-KDD Data by SVSV Prasad Sanaboina, M Chandra Naik, K Rajiv (2025) - [12] N. N. P. Mkuzangwe, F. Nelwamondo, N. N. P. Mkuzangwe, and F. Nelwamondo, “Ensemble of classifiers based network intrusion detection system performance bound,” in 2017 4th International Conference on Systems and Informatics (ICSAI), Hangzhou, Nov. 2017, pp. Ensemble methods optimized via GWO are highlighted in this work as effective, providing new insights and significant improvements for real-world utilization in intrusion detection systems. Keywords: accuracy; analysis; classifiers; detection; ensemble; feature; intrusion; methods; optimization; performance; vol
• Constructing Norms for Skill Test Items as a Barometer for Sports Potential Betwixt Basketball Players by Vineet Nehra (2025) - Physical activity and physical fitness are significant skill and health-related factors for the youth population (Ren et al. 2021). Physical fitness is defined as the capacity to perform daily activity with vitality and sharpness, without undue fatigue while being able to appreciate recreation time interests and to meet the unpredicted emergencies (Singh & Singh 2017). Keywords: accuracy; basketball; fitness; percentile; physical; study; test
• An Improved Deep Network and Handcrafted Feature-Based Scene Classification Convolutional Model for Self-Driving Cars by Sanjay P. Pande (2024) - It also helps to fill the missing values in the vector when object features are added up. The framework for scene classification system is shown in figure 5. Keywords: accuracy; classes; classification; crosswalk; features; image; network; objects; parking; pass; scene; tunnel; vol; yolov5

• Forecasting Short-Term Wind Speed using ARIMA, and Convolution Neural Network Models at International Airports in Saudi Arabia by Lamiaa Abdul-jabbar Dawod (2024) - In Fig. 8, it is seen that the relative errors for ANN models are situated within the range of -3 to 3, whereas for CNN models they lie between - 0.7 and 0.7 and ARIMA models are situated within the range of -20 to 20. The findings from Table 3 reveal that within the realm of ANN models, the performance of ANN- M3 for King Khalid, ANN-M5 for King Fahd, and ANN-M3 for King Abdulaziz model proved to be good accurate during the testing phase. Keywords: airport; analysis; ann; arima; cnn; forecasting; international; king; models; mws(t; speed; time; wind
• Parallel Computing Techniques for Solving Large-Scale Partial Differential Equation by Vinayak Kishan Nirmale (2024) - = 1 𝑡𝑝 t1= execution time for a single processor and tp = execution time using p parallel processors. Introduction A significant role for partial differential equations is assumed in many fields of research and design. Keywords: analysis; condition; differential; equations; method; nonlinear; parallel; pdes; performance; processor; time
• Implementation of Optimization Algorithms in Electrical Network Design by Ramchandra Vasant Mahadik (2024) - Optimization strategies have gotten to be exceptionally critical for managing with these issues since they make overseeing power systems more proficient, solid, and long-lasting. Indeed in spite of the fact that there have been advancements, there are still a few issues with utilizing optimization strategies to construct power systems. Keywords: aco; issues; milp; network; nlp; optimization; power; programming; pso; strategies; systems; time; vol
• Mathematical Techniques for Enhancing Signal Processing in Electronics by Ashok Khedkar (2024) - As these methods are studied and used more, they will continue to make it easier to process electronic signals. When these mathematical techniques are used in electronic signal processing, they not only improve the quality of signal collection and analysis, but they also make it easier to make electronic systems that are more complex and effective. Keywords: analysis; flag; fourier; frequency; information; processing; recurrence; sifting; signal; strategies; time; vol; wavelet
• An Algorithmic Approaches of Solving Fuzzy Critical Path Problem using HaarRanking Octagonal Fuzzy Number Method by Rijwan Shaik (2024) - Elizabeth et al [11,12] introduced a method for finding fuzzy critical path using ranking method. Path Project completion time P1: 1 – 2 – 5 – 7 10 P2: 1 – 2 – 4 – 7 7.5 P1: 1 – 3 – 4 – 7 8.5 P1: 1 – 3 – 6 – 7 5 Table 4: Project completion time In the above example among all the paths P4: 1 – 3 – 6 – 7 is identified as fuzzy critical path. Keywords: haar; method; network; number; path; step; time
• Nonlinear Analysis of EDF Scheduling Framework for Resource Distribution in Cloud Computing by Neelima Priyanka Nutulapati (2024) - Within the cloud ecosystem, job scheduling plays a crucial role in ensuring efficient workload distribution and resource management. Conclusion The Nonlinear Analysis of EDF Scheduling Framework for Resource Distribution in Cloud Computing optimizes job scheduling for resource allocation by taking into the account both deadlines and processing times. Keywords: algorithm; cloud; edf; job; nonlinear; scheduling; time
• Improving QoS Parameters in Fog Computing Environment using QCSO Framework by Meena Rani (2024) - Fz = quality Select a random nest from m nests Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 3 (2025) 206 https://internationalpubls.com if (fx < fy) then replace y with a new solution End if Discard the faulty nest Identify the optimal nest End while Return Optimal Resource Here, energy consumption, resource allocation time, and resource availability are the various QoS parameters that are taken into consideration. Effective management of fog resources can provide several advantages, including improved energy efficiency, reduced network load, increased profit, balanced workload distribution, and minimized violations of Service Level Agreements (SLAs). Keywords: algorithm; allocation; analysis; cloud; computing; energy; fog; framework; optimization; qos; resource; scheduling; service; task; time
• Analysis of Construction Project Cost and Time Using the Earned Value Method by I Gusti Agung Ananda Putra (2024) - Estimate at Completion (EAC) or estimated total cost projects also tend to increase from Rp3.09 billion in the 11th week to reach the highest of Rp4.01 billion in the 16th week. Table 2Renovation Data No Week WEIGHT WORK Mark Contract Cost Per week (%) Cumulative (%) Keywords: cost; performance; project; schedule; time; value; week; work
• Quantum Computing in Electronics: A New Era of Ultra-Fast Processing by Surendar Aravindhan (2024) - Figure 1 Quantum Processor Layout With reference to quantum software, quantum algorithms make use of quantum computers to solve instances that are beyond the ability of classical algorithms to solve. Also, it is necessary to point out the potential for improving efficiency in the use of energy in computing systems due to progress in the area of quantum computing and the possible extension of prospects for miniaturization and the search for new materials. Keywords: algorithms; analysis; communications; computers; computing; electronics; journal; quantum; quantum computing; qubits; systems; time
• Mathematical Models for Infectious Disease Dynamics and Control Strategies by Vinayak Kishan Nirmale (2024) - No. 1s (2025) 57 https://internationalpubls.com Figure 1: Infectious disease mathematical models. Researchers can experiment with various scenarios, model disease outbreaks, and evaluate the potential efficacy of control techniques prior to deployment by integrating these data into mathematical frameworks. Keywords: analysis; control; disease; dynamics; health; mean; modeling; models; network; spread; time; transmission
• Dynamic Modeling of Nonlinear Systems in Cyber-Physical Environments by Pandey, Dev Ras (2023) - Proposed method Improving control systems, predicting maintenance needs, and strengthening overall system resilience in cyber-physical settings depend on comprehending and forecasting the complicated behaviour of nonlinear systems. 4. Results and Discussion Dynamic modeling of nonlinear systems in cyber-physical contexts is the focus of this extensive study, which aims to improve performance, energy efficiency, system efficiency, and adaptability. Keywords: analysis; ansc; control; cyber; efficiency; energy; figure; modeling; nonlinear; performance; physical; systems; time
• The Opticode: A User-Centric Tool for Enhancing Software Efficiency and Minimizing Errors Through Dead Code Elimination and Loop Invariant Code Motion Techniques by Tulshihar Patil (2024) - The objective of code optimization [29] is to generate code that executes faster, consumes less memory, and possesses characteristics such as improved readability or maintainability [5]. This holistic approach to code optimization would result in faster execution times, reduced memory usage, and overall improved software performance [29]. Keywords: analysis; code; code optimization; compile; efficiency; example; gayakwad; international; invariant; lines; loop; milliseconds; motion; opticode; optimization; performance; time; variables; vol
• Hybrid Minkowski-Based Fuzzy AHP with MCDM Optimization for Green Supply Chain Transportation by Hasim Khan (2024) - Comparison of GIS-based AHP and fuzzy AHP methods for hospital site selection: a case study for Prayagraj City, India. In line with this, fuzzy AHP has emerged as a reliable method for incorporating imprecise data into decision-making procedures [10]. Keywords: ahp; chain; criteria; fuzzy; green; optimization; pheromone; route; supply; time; transportation; 𝑄 𝐿𝑘
• Exploring Multimodal Interaction Strategies for Co-Located Mixed Reality Human-Robot Collaboration by Anurag Tiwari (2024) - More research will be done on how to include flexible elements like object detection and sophisticated learning models if MR systems are to operate effectively in complex and changing environments. MR systems also enable users interact with virtual objects in real time, therefore allowing them to see and modify their work plans prior to their execution. Keywords: h2f; hri; interaction; reality; robot; time; user; virtual
• Nonlinear Optimization Framework for Educational Timetable Scheduling using Differential Evolution by Ravindra Babu.B (2025) - The findings from this experimental study underscored the potential of the proposed framework to significantly enhance the process of educational timetable optimization. Traditional approaches to timetable scheduling often rely on manual compilation, which is not only time-consuming but also prone to errors and inefficiencies. Keywords: algorithm; analysis; classroom; constraints; course; framework; optimization; satisfaction; scheduling; slot; solution; teacher; time; timetable; vol
• Automating Quality Assurance: The Role of Error Detection and Logging Algorithms in Multi-Environment Applications by Hema Sai Mukkamala (2025) - Patel and Zhang (2020) conducted a significant study on security concerns about cross-platform apps. Their research found that cross-platform apps are more vulnerable to specific types of security threats, especially when developers rely heavily on third-party libraries. Keywords: analysis; application; apps; code; cross; developers; development; error; frameworks; performance; platform; security; testing; time; user; vol
• Oil Dependency and Fiscal Policy in Iraq: Insights from a Time-Varying Parameter Model by Osam Aref Hamzeh (2025) - The findings reveal a significant positive correlation between oil revenues and government spending, with government expenditures responding to increases in oil revenues with a time lag. However, the influence of oil revenues on government spending diminishes over successive periods, suggesting a potential stabilization or shift in fiscal priorities. Keywords: economic; government; iraq; oil; policy; price; revenues; spending; time; tvp; var
• An Inventory Model with Fluctuate Ordering and Holding Cost with Salvage Value for Time Sensitive Demand and Partial Backlogging by Garima Sharma, Garima Khare, (2024) - − 𝜔1 − 𝜔2𝑡1) − 𝛿𝐶𝐷 (( 𝜔2(−𝑡1𝜃+1) 𝜃 − ( 𝜔2𝑡1+𝜔1 𝜃 − 𝜔2 𝜃2) 𝜃) − 𝜔1 − 𝜔2𝑡1)] (13) 10-12-2023 Abstract: Inventory models are essential in evaluating a wide range of genuine situations that occur in locations, including grocery and vegetable markets, market yards, petroleum exploration businesses, etc. Keywords: demand; time
• Minimizing Makespan in Three Phase Flowshop Scheduling Problems with Multiple Processor at Level First by Sonia (2025) - Nx2 flow shop scheduling problem with parallel machines at every stage, processing time associated with probabilities. An improved particle swarm optimization algorithm to solve hybrid flowshop scheduling problems with the effect of human factors–A case study. Keywords: algorithm; jobs; machines; problem; processing; scheduling; stage; step; table; time
• Validation of Clinical Supervision Questionnaires Using Exploratory Factor Analysis (Efa) For Nursing Students in Selected Private Nursing Colleges Malaysia: A Pilot Test by Salida Johari (2025) - Table 8.0 below lists the factor loadings of clinical supervision items grouped by construct. 01-03-2025 Abstract: This study utilised Exploratory Factor Analysis (EFA) to investigate nursing students' experiences with clinical supervision. Keywords: analysis; clinical; efa; factor; instructor; items; loading; nursing; rotation; students; supervision; time
• Optimization of Round-Robin Arbitration for Low Power by Jeetu Debbarma (2025) - 5 Conclusion and future work: This study presents a comprehensive analysis of energy consumption in task scheduling by integrating Dynamic Voltage Scaling (DVS) with a hybrid Artificial Bee Colony–Whale Optimization Algorithm (ABC-WOA). Figure 1 Convergence Plot of ABC-WOA For Task Scheduling with DVS Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 1018 https://internationalpubls.com Figure 1 illustrates the convergence behavior of the proposed ABC-WOA algorithm when applied to a Dynamic Voltage Scaling (DVS)-based task scheduling problem. Keywords: abc; algorithm; consumption; energy; optimization; power; scheduling; sleep; task; time; vol; woa
• cana-5143 by None (None) - THE VISION OF CONSTRUCTION DISPUTES IN ARTIFICIAL INTELLEGENCE SPHERE Ultimately, the increase in construction disputes led to remarkable progress in the development of more effective dispute resolution methods in the construction industry, specifically in the field of Alternative Dispute Resolution (ADR) (Kolb, 2018)6. No. ICMASD (2025) 1156 https://internationalpubls.com we will specifically explore how technology can be used as a tool to solve construction disputes. Keywords: analysis; construction; contracts; design; dispute; process; resolution; technology; time; tools; use
• Women Safety Night Patrolling Robot in IoT by Varsha Gorakh Kolhatkar, Swati Khawate (2025) - Keywords: Women safety, Night patrolling robot, Internet of Things (IoT), Autonomous surveillance, Raspberry Pi, Real-time monitoring, Sound detection, Emergency response, Threat detection, Artificial intelligence (AI), Public safety. It is essential that the robot has the ability to work in dynamic circumstances to achieve its primary mission of women safety, especially during the night. Keywords: iot; night; patrolling; public; robot; safety; time; vol; women
• The P versus NP Problem Insights into Computational Complexity by S. Balamuralitharan (2024) - This paper delivers an efficient exploration of the P vs. NP problem by studying its core components in computational complexity theory while analyzing historical and contemporary studies alongside methodological frameworks for solving this problem. Novelty and Contribution The research intends to conduct a detailed analysis of the P versus NP problem by tracing its historical progression together with its practical effects and active resolution activities. Keywords: analysis; complexity; polynomial; problem; research; solutions; time; vol
• A comparative study of Conventional vs AI-based controllers of Electric Motors by Bharathi Y H (2025) - ● To identify practical challenges in implementing AI controllers, including computational demand and scalability. (Source: Sachit and Vinod, 2021) Ramakrishnam Raju et al. (2022) offered one more example of AI controller in hydroponics farming, where an IoT-based AI controller was implemented in a real-life application and demonstrated 96.8% of accuracy in environmental control, demonstrating the adaptability of the controller to the diverse sensor inputs and real-time feedback. Keywords: controllers; electric; energy; motor; systems; time; torque
• AI-Driven Resource Optimization in Multi-Cloud Environments by Abdul faiz (2025) - G. Cost Optimization Strategies with AI One of the most significant benefits of AI in multi-cloud resource optimization is its ability to curtail costs without compromising performance. Security and compliance are emerging as pivotal considerations in multi-cloud optimization, and recent research demonstrates that embedding AI within orchestration frameworks is vital to overcoming integration, interoperability, and regulatory challenges. Keywords: allocation; cloud; cost; environments; optimization; resource; service; time; utilization
• Two Fluid Interacting and Non-Interacting Scenarios for Kaluza-Klein Dark Energy Cosmological Model in Lyra Geometry by Parimal Gaidhane (2024) - Saha B, Amirhashchi H, Pradhan A. Two-fluid scenario for dark energy models in an FRW universe-revisited. 2(Associate Professor, Department of Mathematics, S. S. E. S. Amravati’s Science College, Congress Nagar, Nagpur, India- 440012, ashokpund64@rediffmail.com) Article History: Received: 10-10-2024 Revised: 20-11-2024 Accepted: 29-11-2024 Abstract: In this paper, we studied the evaluation of dark energy parameter in the spatial homogeneous and anisotropic five dimensional Kaluza-Klein space time filled with barotropic fluid and dark energy within the frame- work of Lyra geometry. Keywords: dark; energy; fluid; time
• Simulation Model to Optimize Hospital Pharmacy Operation using Queuing Theory by Himanshu Mittal (2024) - In recent years, the demand for pharmacy services has surged due to factors such as an ageing population, increased access to healthcare, and the emergence of specialty pharmaceuticals (Yeganeh, 2019). The adaptation of efficient pharmacy services is driven by the need to address several key challenges faced by pharmacies which includes patient expectations, medication safety and resource allocation. Keywords: evening; healthcare; models; patients; pharmacy; queue; queuing; service; shift; time; waiting
• Nonlinear Analysis of Financial Time Series Data by Henderson, Johnny (2023) - 6. Conclusion Nonlinear analysis of financial time series data plays a pivotal role in unraveling the complexities of financial markets. Abstract: Financial markets are complex systems characterized by intricate dynamics. Keywords: analysis; nonlinear; time
• Analysis of Nonlinear Schrödinger Equations with Time-Dependent Coefficients: Stability and Decay Properties by Eric Howard (2024) - This extension is pivotal for modeling the behavior of quantum systems more accurately, particularly in environments where quantum noise plays a significant role, such as in optical fibers at the quantum limit and Bose-Einstein condensates. Quantum Chaos Findings: Our analysis reveals that quantum systems governed by the qNLSE exhibit chaotic behavior under specific conditions, notably when the interaction between quantum noise and nonlinearity surpasses a critical threshold. Keywords: dynamics; noise; qnlse; quantum; stability; systems; time

• A Comparative Study of Fuzzy Logic Type-1, Type-2 and Gradient-Based Method for Edge Detection in RGB Images by Navita Dhaka (2024) - Additionally, the comparison between edge images obtained from these algorithms and the Prewitt operator shows differences in PSNR, MSE and L2RAT values, highlighting the experimental results among the methods. Noise robust image edge detection based upon the automatic anisotropic Gaussian kernels. Keywords: algorithms; analysis; detection; edge; image; logic; membership
• Beyond Accessibility Reports: AI-Driven WCAG Remediation at Scale by Naga V K Abhinav Vedanbhatla (2024) - Embedding Remediation into Operations For accessibility remediation to deliver sustainable impact, it must be embedded directly into organizational workflows rather than treated as a one-off compliance project. Emerging research points to the transformative potential of artificial intelligence (AI) in accessibility remediation. Keywords: accessibility; compliance; content; detection; et al; remediation; wcag
• An Edge Detection Algorithm based on Second Order Difference by Maheshkumar D. Kudre (2025) - Here we proposed 2 categories of edge detection operators. The connection of mathematics and edge detection algorithms is discussed in this article. Keywords: detection; edge; 𝑓(𝑥

• A Comparison Study on Replacing Machines in Uncertain Environments whose Maintenance Costs Increase with Different Scrap Values Over Time by Saranya. V (2024) - Let ς = Capital or purchase fuzzy cost of the machine or equipment, explanations as follows, Case (i) Hence average fuzzy cost per unit of time incurred during the period ‘x’ on the machine or equipment is given by ς +R(x) -S H(x) = x (2) To find the value of ‘x’ for which H(x) is minimum .The 1stderivative of H(x) with respect to ‘x’ is equated to zero. Keywords: cost; function; fuzziness; fuzzy; machine; membership; year

• Economic Performance and Resource Utilisation: Empirical Evidence from India’s Iron and Steel Industry by Dhiraj Kumar (2024) - Impact of raw material costs on the economic performance of Indian steel companies. This comprehensive analysis emphasizes the necessity of adopting a holistic approach to sales performance management to achieve long-term success in the competitive Indian iron and steel industry. Keywords: analysis; efficiency; impact; india; industry; iron; performance; production; sales; steel
• A Meta-Analysis on the Relationship Between Innovation Capability & Knowledge Sharing and Role of Innovation Capability on Financial Performance of Firms by Vishal Kumar (2024) - Lin, 2007 Knowledge sharing and innovation Capability Knowledge sharing can be influenced by several factors. H2a: Innovation capability has a positive influence on the financial performance of firms H2b: Keywords: analysis; effect; et al; firms; impact; innovation capability; innovation performance; journal; knowledge management; knowledge sharing; management; performance; research; studies; study
• Enhancing Low Energy Technology Performance: Optimizing Low Noise Amplifier through Stabilization and Input-Output Component Matching Design by Shinjini Yadav (2024) - This approach highlights the significant advancements in LNA design for 5G applications, focusing on minimizing power consumption while maintaining high performance. The particular function or application determines the criteria for LNA design. Keywords: amplifier; analysis; applications; cmos; design; figure; frequency; lna; noise; performance; power; receiver; signal; technology; vol; wireless
• Quantifying the Performance and Trade- offs of Sustainable Investment: Triple Bottom Line Analysis using DEA Metrics by Baisakhi Mukherjee (2024) - According to the various industry reports, the assets under management (AUM) in GREEN funds have been steadily increasing, reflecting the mainstream adoption of sustainable investing principles. However, the number of dedicated GREEN funds remains relatively smaller than the traditional mutual funds which is a matter of concern about the efficiency of GREEN funds. Keywords: analysis; companies; dea; dmu; efficiency; esg; funds; green; india; investing; investment; investors; performance; report; scores
• Simulation Insights into Perovskite Active Layers for Enhancing Solar Cell Efficiency by Naeema Nazar (2024) - [28] W. Ke, C. Xiao, C. Wang, et al., Is excess PbI2 beneficial for perovskite solar cell performance?, Advanced Materials, vol. 28, no. 28, pp. No. 3s (2025) 420 https://internationalpubls.com Simulation Insights into Perovskite Active Layers for Enhancing Solar Cell Efficiency Naeema Nazar 1*, Mohamed Kallel 2, Rahma Sellami 3, and Abdelhalim Hasnaoui 4 1*Assistant Professor, Department of Electronics and Communication Engineering, VISAT Engineering College, Kerala, India Global Strategy Representative for India, IEEE Photonics Society, USA naeemanazarcn@gmail.com, https://orcid.org/0009-0007-6768-2842 2Assistant Professor, Department of Physics, College of Science, Northern Border University, Arar, Saudi Arabia Mohamed.kallel@nbu.edu.sa 3Assistant Professor, Department of Computer Science, Applied College, Northern Border University, Saudi Arabia Rahma.ali@nbu.edu.sa 4Assistant Professor, Mathematics Department, College of Sciences and Arts, Northern Border University, Rafha, Saudi Arabia abdllhalim.hasanawa@nbu.edu.sa Article History: Received: 24-09-2024 Revised: 06-11-2024 Accepted: 18-11-2024 Abstract: This study explores the performance of perovskite solar cells with various absorber materials, including MASnI3, CH3NH3SnI3, CsPbI3, and CsSnGeI3, analyzing key metrics such as efficiency, open-circuit voltage (Voc), short-circuit current density (Jsc), and fill factor (FF). Keywords: analysis; cells; circuit; current; device; doi; efficiency; energy; material; parameters; performance; perovskite; properties; simulation; vol
• A Dependable Multistage Interconnection Network Topology and Fault-Tolerance by D.Deepakraj (2025) - Review of multistage interconnection networks reliability and fault-tolerance. Multistage interconnection network reliability. Keywords: analysis; fault; interconnection; mins; multistage; network; path; performance; reliability; systems; tolerance
• The Influence of Competence, Integrity, and Compensation on Internal Audit Units Performance by Mukodas Arif Subekti (2025) - This study aims to examine the influence of competence, integrity, and compensation on SPI performance, focusing on their direct and mediated effects. Results showed that competence and integrity positively and significantly impact SPI performance, with competence being the most dominant factor. Keywords: audit; compensation; competence; integrity; performance; spi
• Enhancing the Productivity of Construction Process Plants by Implementation of Innovative TPM Techniques by Permindur Singh (2025) - The success of TPM implementation largely depends on the organization's ability to engage all stakeholders, align its systems, and maintain a focus on continuous improvement. The organizational structure for TPM implementation was carefully designed to involve personnel from various interdisciplinary areas, as illustrated in Figure 4. Keywords: analysis; construction; customer; doi; equipment; figure; implementation; improvement; maintenance; management; performance; process; production; quality; research; tpm; vol
• The Role of IT Factors and IT Governance in E-commerce Adoption and Performance among Chinese Manufacturing SMEs by Zhang Min (2025) - Relative advantage is a key concept in e-commerce adoption, referring to the perceived benefits organizations and customers gain from implementing e-commerce technologies. The findings highlight the significant role of IT governance in maximizing the benefits of E-commerce adoption, demonstrating that strong IT governance practices can optimize technological investments and ensure alignment with business objectives. Keywords: adoption; business; commerce; commerce adoption; digital; factors; journal; management; performance; smes; technologies; technology
• Adaptive Machine Learning Approaches for Analyzing SME Growth and Financial Challenges in Andhra Pradesh by K Ravi Kiran Yasaswil (2025) - This study explores the relationship between access to financing and SME growth through data science methods and computational approaches. Policymakers and financial institutions, therefore, can build a strong ecosystem for SME growth, ensuring economic resilience and innovation in the region by adopting data-driven strategies. Keywords: access; analysis; andhra; borrowing; challenges; financial; financing; frequency; growth; performance; smes; study; vol
• Analysis of Students’ Performance by Fuzzy Inference Technique by Bikram Baro (2025) - [1] proposed a fuzzy expert system (FES) for the evaluation of student academic performance based on fuzzy logic techniques. Different types of fuzzy rules are defined in the form of if-then rule for the evaluation of student academic performance. Keywords: evaluation; fuzzy; logic; mathematics; membership; performance; students; subject; vol
• Innovativeness and Firm Performance in Apparel Firms in Sri Lanka: The Moderating Role of Family Continuity by GS Nanayakkara (2025) - Entrepreneurial orientation, concern for socioemotional wealth preservation, and family firm performance. Delineating the path of family firm innovation: mapping the scientific structure. Keywords: analysis; apparel; business; et al; family; family business; family continuity; family firms; firm; influence; innovation; innovativeness; journal; management; performance; relationship; research; study
• Enhancing Connectivity in Vehicular Ad Hoc Networks: A Novel Contention Window-Based Protocol for Overcoming Obstacle-Induced Signal Attenuation by Shivangni jat (2025) - Longer BM distances at larger densities are the result, according to the CDFs in Figure 9, of both systems, when there are no obstacles: the candidate farthest from the BM has the greatest likelihood of winning the contest. Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 2 (2025) 754 https://internationalpubls.com Figure 9 CDFs of propagation delay in density of 60 veh/km at safety rate 0.05 In terms of BM distance, delay performance trends differ when obstacles are considered, aligning with BM selection performance shown in Figure 9. Keywords: analysis; communications; dba; distance; figure; ieee; mac; network; obstacles; performance; protocol; routing; signal; vanets; vehicles
• Ceo’s Overconfidence and Firm Performance of Listed Companies in Vietnam by Nguyen Thanh Tung (2025) - The author uses model (1) of cross-sectional regression for each year, classified by industry group according to the standard (GICS) to find CEOs in companies with overconfidence behavior occurring when the residual (e) of the model >0 is assigned the value =1, companies with residual <0 will be assigned the value =0 (ie there is no phenomenon of CEO overconfidence). The author uses four measures of CEO overconfidence behavior including: excess cash flow, excess earnings, revenue management, and cost management. Keywords: behavior; business; cash; ceo; ceo overconfidence; flow; growth; income; interaction; overconfidence; ownership; performance; stock; variable
• Financial Market Reactions to Pandemic Shocks in Nepal: A Study of Stock Market and Banking Investments by Poonam Kumari Karna (2025) - Ordinary Least Squares (OLS) regression is used in the study to evaluate the contribution of several independent factors on stock market performance. The general form of the OLS regression model is: 𝑌𝑡 = 𝛽0 + 𝛽1𝑋1𝑡 + 𝛽2𝑋2𝑡 + ⋯ + 𝛽𝑘𝑋𝑘𝑡 + 𝜖𝑡 where 𝑌𝑡 represents the dependent variable (stock market performance), 𝑋1𝑡, 𝑋2𝑡, … , 𝑋𝑘𝑡 are the independent variables (sector-specific indices, macroeconomic factors, etc), 𝛽0 is the intercept, 𝛽1, 𝛽2, … , 𝛽𝑘 are the coefficients, and 𝜖𝑡 is the error term. Keywords: banking; market; nepal; pandemic; performance; stock
• Digitalization and Smes’ Sustainable Performance: A Conceptual Framework in the Context of Wuhan, China by HaiDong Wang, Siti Aida Bt Samikon (2025) - As the digital transformation continues, it is important to examine how digital transformation can affect SMEs' sustainable performance from the perspective of economic, social, and environmental dimensions (Xie & Xu, 2024). Thus, there is a need for a conceptual study that investigates digitalization’s role in shaping SMEs' sustainable performance in Wuhan, identifying potential enablers and barriers (Liu et al., 2024). Keywords: adoption; business; capabilities; china; digitalization; performance; research; smes; study; sustainability; theory
• The Relationship Between Social Connectedness And Academic Performance Among Vietnamese University Students: The Mediating Role Of Stress by Hoc Trung Hoang (2025) - Academic stress is a prevalent issue among students, impacting their academic performance in various ways (Crespo-Berti et al., 2024; Kaur & Herbert, 2024). Research at the Universidad Regional Autónoma de los Andes revealed that higher levels of academic stress are associated with a decline in grades among undergraduate students. Keywords: analysis; connectedness; et al; performance; relationship; scale; social; stress; students; study
• Nano-Composite Materials: Enhancing Mechanical Properties for Next-Generation Engineering Applications by Sudheer Choudari (2025) - Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 3 (2025) https://internationalpubls.com 910 Nano-Composite Materials: Enhancing Mechanical Properties for Next-Generation Engineering Applications Sudheer Choudari1*, Jaishree Chauhan2, Niharika Singh3, Jignesh Jani4, Dr. Ranjit Singh5, Jagdip Chauhan6, Anilkumar S Kallimani7 1*Assistant Professor, Department of Civil Engineering, Centurion University of Technology and Management, Andhra Pradesh, sudheer.13031@gmail.com, sudheerchoudari@cutmap.ac.in 2Assistant Professor, Institute of Engineering and Technology, MLSU, Udaipur, Rajasthan, Jc281190@gmail.com 3Assistant Professor, J D College Of Engineering And Management, Nagpur niharika.singh.241295@gmail.com 4Assistant Professor, Department of Mechanical Engineering, Marwadi University, Rajkot, Gujarat, jdjani12@gmail.com 5Assistant Professor, Department of Mechanical Engineering Modern Group of Colleges, Pandori Bhagat, Mukerian (144306), Hoshiarpur, Punjab, India Graphic Era (Deemed to be University), Clement town, Dehradun- 248002, India, ranjitsingh.tmk786@gmail.com 6Assistant Professor, Department of Mechanical Engineering, Guru Jambheshwar University of Science & Technology, Hisar, jdchauhan05@gmail.com 7Associate Professor & Head, Mechanical Engineering Department Government Engineering College, Huvinahadagali Vijaya Nagar District -583219 Karnataka State, India, 0009-0006-4477-4122, anilskallimani@gmail.com Article History: Received: 12-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract: The objective of this study is to improve the mechanical properties and environmental resistance of composite materials by the addition of nano reinforcements. 2.2 FABRICATION TECHNIQUES Various fabrication techniques were employed to disperse nano reinforcements into matrices while establishing uniform dispersion and strong interfacial bonding. Keywords: applications; composites; conditions; materials; nano; nanocomposites; performance; properties; reinforcements; strength
• A Study of Anxiety and Aggression in Athletics with Special Reference to College Level Players by Gulshan Kumar (2025) - The distribution of anxiety levels is relatively even, pointing to the potential need for targeted interventions for those experiencing moderate to high anxiety in competitive situations. Significance (p-value) Low Anxiety Low Aggression 0.45 0.01 Moderate Anxiety Moderate Aggression 0.67 0.001 High Anxiety High Aggression 0.83 0.0001 Source: Computed From Primary Data Table 4 represents the correlation analysis that shows a positive relationship between anxiety and aggression at all levels, with the correlation coefficient increasing as anxiety levels rise. Keywords: aggression; anxiety; athletes; college; performance; sports
• Design of Efficient Multiplier with Low Power and High-Speed Using PTL (Pass Transistor Logic) by D. Satyanarayana (2025) - Though the integration of PTL FA further lowers circuit power, this could increase the critical path delay a little bit. Further- more, cascading PTL circuits cause large delays, as observed in [10]. Keywords: area; circuits; cmos; design; multiplier; performance; power; ptl; vol
• Stability Analysis of Conventional Mix by Crumb Rubber Modified Bitumen by Kartik Khatri, Chittaranjan Birabar Nayak (2025) - However, incorporating scrap tire rubber into bitumen commonly known as crumb rubber modified bitumen (CRMB) has emerged as a promising solution for environmentally sustainable road construction. Asphalt rubber binders offer significantly enhanced rutting resistance. Keywords: asphalt; binder; bitumen; crumb; crumb rubber; mix; penetration; performance; point; rubber; softening; temperature; test
• Exploring the Impact of Various Factors on the Performance of DKI Jakarta State Senior High School Teachers by Moch. Endang Supardi, R. Madhakomala, Neti Karnati (2025) - The implications of this study are practical implications in terms of improving teacher performance, developing leadership styles, especially servant leadership, organizational support and the need to improve teacher collective efficacy. Based on the description of the problems that have been put forward, the researcher is interested in studying and highlighting the need to improve servant leadership from school principals, perceptions of organizational support and collective teacher efficacy to encourage improved performance of high school teachers in DKI Jakarta. Keywords: analysis; collective; education; efficacy; employee; influence; leadership; organization; performance; school; servant; support; teachers; work
• Performance Evaluation of Innovative Hybrid Energy Dissipation Systems for Enhanced Seismic Resilience in High-Rise Structures by Muskan Pethe, Madhu Sahu (2025) - Recognizing the limitations of stand-alone damping systems, recent research has turned toward hybrid energy dissipation systems, which strategically combine two or more types of damping technologies to leverage their complementary benefits (Lee & Kim, 2012; Abbas & Manohar, 2002). Hybrid energy dissipation systems, by combining the strengths of multiple devices, offer a promising path forward in achieving robust and versatile seismic protection. Keywords: analysis; dampers; damping; dissipation; drift; energy; hybrid; performance; seismic; story; systems
• Seismic Retrofitting of Existing Structures: A Comprehensive Review of Techniques, Performance, and Challenges by Sakshi Sao (2025) - Governmental agencies and international organizations now advocate for seismic retrofitting as a policy imperative, especially for critical infrastructure such as hospitals, schools, and heritage structures (UNDRR, 2022). Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 2341 https://internationalpubls.com 4. Methodology 4.1 Criteria for Selection of Studies and Techniques The selection of studies was guided by relevance to the topic of seismic retrofitting of existing structures, prioritizing peer-reviewed articles, international guidelines (e.g., FEMA, Eurocode 8, IS 13935), and case studies from earthquake-prone regions. Keywords: analysis; buildings; earthquake; engineering; fema; performance; resilience; retrofitting; structures; techniques
• Seismic Performance Assessment of Bare RC Frames and Hybrid Structures by Dev Dubey, Madhu sahu (2025) - Generally, seismic analysis involves the steps mentioned in the previous section wherein the natural frequencies are evaluated first and the mode shapes are also found out. 1.2 INTRODUCTION TO SEISMIC ANALYSIS Seismic analysis is a particular case of dynamic analysis. Keywords: analysis; columns; earthquake; nonlinear; performance; storey; structure
• Role of Performance Appraisal System and its Impact on Employees Motivation among Consultancy Firm by Kanika Garg (2025) - The findings of this study show that all the human resource management practices have significant and positive relationships with employee performance and job satisfaction mediates the relationship among variables. Effectiveness of Performance Management System for Employee Performance Through Engagement. Keywords: analysis; appraisal; correlation; employee; motivation; performance; study
• Innovative Integration of Yogic Asanas and Meditation: Policy Frameworks and Pedagogical Approaches for Enhancing Women's Gymnastics Performance and Equity by Sudha (2025) - More research is needed to tailor yoga practices that cater to the unique demands of gymnastics, such as flexibility, strength, balance, and coordination. Furthermore, more research is required to explore specific yoga practices tailored to the unique demands of gymnastics. Keywords: gymnastics; meditation; performance; sports; training; yoga
• Evaluating Reactive Routing Protocols in MANETs: A Comparative Study of AODV and DSR Using NS-2 Simulation by P. Santhadevi (2024) - The study evaluates protocol performance under varying node densities and mobility patterns, providing insights into their strengths and limitations [5], [6]. This gap underscores the need for a methodical and updated comparison using standardized tools like NS-2 [15] to draw reliable and generalizable conclusions about protocol performance. Keywords: aodv; dsr; performance; protocols; routing
• Mathematical Model and Statistical Assessment of Non Linear Scheduling Optimization in Cloud Environment using Improved Cuckoo Search Algorithm by Shilpa Maheshwari (2024) - This paper proposes a new method that enhances task scheduling in cloud computing systems using the cuckoo optimisation algorithm. No. 2 (2024) 298 https://internationalpubls.com 24 Utilization of a resource: 𝑈 − ∑  𝑎 𝑖,1  𝑥𝑖 ⋅ 𝑡𝑖 𝑇𝑖 Theoretical analysis of the given mathematical equations revolves around the optimization of scheduling tasks in a cloud environment, where various parameters like resource allocation, task execution time, and system performance are crucial. Keywords: algorithm; cloud; computing; csa; gwo; makespan; optimization; performance; pso; scheduling; tasks; throughput; vol
• A Review on the Role of Limestone Calcined Clay Cement (LC3) in Low-Carbon Concrete Pavements by Sham Prakash Nimse (2024) - This study investigates the development, mechanical performance, durability, and environmental potential of LC3 cement for concrete road construction. Studies have shown that LC3 cements made with clays containing as little as 40 wt% kaolinite can achieve mechanical and durability properties equal to or better than those of Portland cement [17-19]. Keywords: analysis; cement; clay; concrete; construction; emissions; lc3; limestone; materials; performance; production; research; road
• Impact of RREQ Packet Flooding Attack on Wireless Sensor Networks: A Simulation-Based Study by Vivek Sharma (2024) - [11] addressed the challenge of RREQ packet flooding attacks in MANETs. In present study, we reviewed the effects of RREQ packet flooding attacks on Wireless Sensor Networks (WSNs) in various domains such as surveillance, healthcare, and environmental monitoring; however, they are inclined to security breaches, denial-of-service (DoS) attacks like RREQ packet flooding. Keywords: aodv; attacks; end; energy; flooding; network; packet; performance; rreq; security; wsns

• An Comparison of Different Cluster Head Selection Techniques for Wireless Sensor Network by E. Akila (2024) - The proposed MOFPL algorithm finds Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 5s (2024) 481 https://internationalpubls.com the optimal CH from various CH nodes in the WSN. At the same time, design with energy efficient protocol of the WSN for prolonging the lifetime of the network will be a very challenging task owing to its unique nature with a strong networking constraint in the WSNs (Kumar & Sharma 2012). Keywords: algorithm; clustering; energy; leach; network; nodes; routing
• Comprehensive Modality Integration for Diabetic Retinopathy Image Analysis by Preeti Rohit Deshmukh (2024) - [14] proposed gradient-weighted class activation mapping for multi-label classification of diabetic retinopathy images. 4. Original RGB and channel-level image representation of diabetic retinopathy image. Keywords: analysis; channel; classification; database; features; ieee; images; network; retinopathy; vision; vol
• Develop a Mathematical Model to Secure Anonymous Communication in Manet Through Cluster Framework by Swetha M S (2024) - The proposed method Secure Clustered Location-Based Routing Protocol (SCLBRP) technique is employed on 50, 100, 150, 200 and 250 node network to illustrate its effectiveness, which used to maximize the energy efficient in sensor nodes using Optimal Zone Partitioning (OZP) and Optimal Trust Inference Algorithm (OTIA) In a MANET, the network is composed of cluster head nodes (CHs), mobile nodes (cluster members), and potentially malicious nodes (MNs). Keywords: energy; location; mobile; network; node; protocol; routing; sclbrp; vol
• Enhancing Network Security in Distributed Systems Using Middle Roman Dominating Functions by R. Vinodhini (2024) - The theorem can be used to determine the optimal placement of network nodes or resources to achieve desired network performance or reliability. This theorem provides a valuable tool for understanding when certain domination-related properties hold in a graph, with wide-ranging applications in network design, optimization, security, biological modelling, and more. Keywords: domination; graph 𝐺; legions; network; theorem; 𝑉 −; 𝛾𝑀𝑅(𝐺
• Optimizing Phasor Measurement Units Placement in Power Networks Using Betweenness Centrality by Saravanan M (2024) - According to the data provided in table 2, vertex v4 has the highest betweenness centrality. Therefore, the first PMU should be placed in vertex v4. Keywords: centrality; ieee; network; pmu; power; vertex; vertices
• Configuration of Complex Networking Using Secure Software Defined Network System by Neeraj Singla (2024) - SDN controller system Objectives The literature survey in this research paper explores the application of Software-Defined Networking (SDN) in campus networks and its impact on network management. Proposed system aims to advance network security by implementing an SDN-based application. Keywords: access; algorithm; analysis; campus; flow; management; network; sdn; security; vol
• QoS-Aware and Energy-Efficient Network Design for Green Wireless Communication by Duda Sudhakar (2024) - However, these strategies increase the number of base stations, which in turn raises radiation levels and energy consumption. P. H. Huang et al. developed a base station switch-off method for a network with an arbitrary deployment of base stations. Keywords: base; base stations; bss; devices; distribution; matrix; mobile; network; power; switch; switching; traffic
• Redefining Network Resilience: A Comprehensive Metric for Wireless Communications by Prema Kandasamy (2025) - The results demonstrate that RCI offers superior insights into network resilience, making it a valuable tool for network design and optimization. Traditional approaches to assessing network resilience often rely on topological indices from graph theory, such as the Wiener Index, Estrada Index, and Randić Index. Keywords: analysis; connectivity; index; network; node; rci; redundancy; resilience; wireless
• Isolating malicious nodes in the Internet of Things through a Trust-Based Mechanism by Zakiya Manzoor Khan (2025) - Plotting the initial malicious broadcast in red, the malicious node v5 launched an incremented version number that is automatically propagated by legitimate network nodes (broadcast by relay nodes plotted in purple). Numerous studies have shown that these kinds of attacks are capable of seriously disrupting RPL networks, which emphasizes the urgent need to address these security issues. Keywords: analysis; attacks; dodag; internet; iot; network; nodes; number; rpl; things; version; vol
• Knowledge Mapping of Genglubu Research: Bibliometric Analysis by Zhang Junjun (2025) - Table 3: High-frequency Keywords and Betweenness Centrality in Genglubu Research (2014–2024) Keyword Frequency Centrality Genglubu (更路簿) 72 0.99 South China Sea (南海) 35 0.32 Hainan Fishermen (海南渔民) 12 0.14 South China Sea Islands (南海诸岛) 9 0.06 Digital Humanities (数字人文) 6 0.11 Place Names (地名) 5 0.04 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 263 https://internationalpubls.com Hainan (海南) 5 0.02 Geng Route (更路) 5 0 Hainan Island (海南岛) 4 0.02 South China Sea Rights Protection (南海维权) 4 0.04 Naming (命名) 3 0.06 Reef Naming (岛礁命名) 3 0.02 Fishermen (渔民) 3 0 Sovereignty (主权) 3 0.02 Needle Route (针路) 3 0 Figure 4: Keyword Co-occurrence Network Analysis in Genglubu Research (2014–2024) 4.5 Keyword Citation Burst Analysis Figure 5 presents the top 16 keywords that experienced citation bursts in Genglubu research from 2014 to 2024. Tanka people (疍民), shipbuilding (造船), southeast coastal region (东南沿海), South China Sea (南海), Maritime Silk Road (海上丝绸之路) #2 Hainan Fishermen (海南渔 民) 2017 Hainan fishermen (海南渔民), fishermen (渔民), Hainan (海南), era of emergence (产生时代), maritime rights (海权) #3 Place Names (地名) 2016 Place names (地名), South China Sea (南海), reef naming (岛礁命名), customary law (习惯法), South China Sea broken line (南海段续线) #4 Digital Humanities (数字人 文) 2019 Digital humanities (数字人文), Hainan (海南), Suzhou Ma Zi (苏州码子), reef nicknames (岛礁俗名), Suzhou Chengjin Waterway Register (《苏承锦水路部》) #5 Chinese Traditional Culture (中国传统文化) 2017 Chinese traditional culture (中国传统文化 ), South China Sea reefs (南海岛礁), historical sovereignty (历史 主权), naming (命名), South China Sea (南海) #6 Legal Basis (法理依据) 2017 Legal basis ( 法理依据 ), South China Sea rights protection (南海维权), Maritime Navigation Canon (航 海针经), historical basis (历史依据), Waterway Register (水路簿) #7 Communication Strategies (传播策略) 2019 Communication strategy (传播策略), communication value (传播价值), regional communication (区域传播), region (区域), value (价值) #8 Geng Navigation Route (更 2020 Geng navigation route (更路海道), East China Sea Geng Route (东海更路), harbor groups (港湾群), overseas Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 267 https://internationalpubls.com 路海道) Geng Route (海外更路), North Sea Geng Route (北海更 路) #9 Achievements (成就) 2017 Achievements (成就), Genglubu studies (更路簿学), academic history (学术史), research (研究), Genglubu (更路簿) #10 Tanmen (潭门) 2018 Tanmen ( 潭门 ), text ( 文本 ), locality ( 地方性 ), Genglubu (更路簿) Keywords: analysis; china; cluster; field; genglubu; hainan; heritage; keyword; maritime; network; research; south; studies
• CompressGAN: A Generative Adversarial Network-Based Framework for Learned Image Compression by Dharmesh Dhabliya (2024) - All of these new ideas push the limits of learnt picture compression, but one big problem is that many models still can't keep high perceived quality in very low bitrate settings. 6. Conclusion CompressGAN is a new Generative Adversarial Network-based system for learnt picture compression that fixes the problems with both old and new compression models, especially when the bitrate is low. Keywords: analysis; compressgan; decoder; encoder; image; latent; loss; methods; models; network; picture; quality; training
• DYMO Routing Protocol in Manets based on Random Forest Classifier Machine Learning Technique by Jagdeep Kaur (2025) - Strengthening of DYMO protocol in MANET’s using Random Forest Classifier machine learning technique offers extraordinary improvement in network performance. Keywords: MANETs, Routing protocols, DYMO, Random Forest classifier. Keywords: dymo; forest; network; node; protocols; route; routing
• Improving QoS of DYMO Routing Protocol in MANETs using Random Forest Classifier Technique by Jagdeep Kaurm (2025) - Further we implemented Random Forest Classifier technique on DYMO protocol using Google Collaboratory simulator and correlated its simulator results with elementary DYMO protocol. [13] A. K. Gupta, H. Sadawarti, and A. K. Verma, “Implementation of DYMO Routing Protocol,” International Journal of Information Technology, Modeling and Computing, vol. 1, no. 2, pp. 49– 57, May 2013, doi: https://doi.org/10.5121/ijitmc.2013.1205. Keywords: destination; dymo; forest; network; node; number; protocol; route; routing; vol
• Improved ACO for Energy-Efficient Wireless Sensor Networks by Tripti Chande (2025) - Our experiments demonstrate that the enhanced ACO significantly improves energy efficiency, achieving 19.6% more residual energy and reducing energy consumption by 38% compared to traditional ACO methods. However, a significant challenge faced by WSNs is energy consumption, as the sensor nodes are typically powered by batteries, which deplete over time, limiting the network's longevity. Keywords: aco; algorithm; consumption; energy; network; node; optimization; routing; wsns
• Impacts of Distributed Generation in Power System by Ved Prakash Khrana (2025) - Keywords: Renewable energy, reactive power, distributed generation, power system etc. I. INTRODUCTION The ability of India's traditional power systems to behave radially permits power to move from a source station capable of producing thousands of Mega Watts (MW) to customer ends, such as homes, businesses, and government agencies. Reactive power at generation Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 1674 https://internationalpubls.c om Fig.4: Reactive power at load Following the acquisition of the IEEE-14 bus network power flow simulation results, DG had to be connected in accordance with the power requirement at each bus, and STATCOM had to be connected in order to make up for the reactive power imbalance in the test network. Keywords: generation; network; power; vol
• Optimizing Graph Theory Algorithms for Social Network Analysis by S. Balamuralitharan (2024) - The number of social networks grew substantially due to online platforms such as Facebook along with Twitter and LinkedIn and Instagram. Sampling size |𝑆| is dynamically adjusted: |𝑆| = √|𝑉| D. Dynamic Adaptation Module Since social networks are dynamic, real-time updates are necessary. Keywords: algorithms; analysis; community; doi; et.al; graph; network; optimization; theory; vol
• Modelling Protein-Protein Interactions using Graph Theory: A Computational Biology Perspective by Syamlal S (2023) - Likewise, communities or clusters detected within protein interaction networks often correspond to biologically meaningful modules such as metabolic pathways, signalling cascades, or protein complexes. Scope of the research The scope of this research encompasses the application of graph-theoretic concepts and computational modelling strategies to the analysis of protein–protein interaction networks. Keywords: analysis; biology; graph; interactions; network; protein; theoretic; theory
• LDQKDPB: Unbreakable Network Security via Long-Distance Quantum Key Distribution Enhanced by Post-Quantum Techniques and Blockchain by Manish K.Hadap (2024) - Keywords: Quantum Key Distribution, Post-Quantum Cryptography, Blockchain Integration, Network Security, Unbreakable Security, Scenarios. Quantum Key Distribution (QKD) has emerged as a beacon of hope in this turbulent cybersecurity landscape. Keywords: analysis; blockchain; distribution; key; ldqkdpb; network; quantum; security; techniques; technology; vol
• Graph Theoretical Models for Enhancing Highway Connectivity and Safety in Vehicular Networks by Shivangni Jat (2024) - Key metrics, including the degree of nodes, clustering coefficients, and shortest path lengths, are utilized to quantify network connectivity and identify critical nodes and edges that influence overall network efficiency. We analyze key performance metrics such as packet delivery ratio, end-to-end delay, and network throughput to evaluate the impact of our models on network connectivity and safety [13]. Keywords: analysis; clustering; communication; connectivity; densities; density; end; graph; network; node; safety; vehicle

• Nonlinear Analysis of Quantum Systems and Quantum Computing by S. Abbas, J. K. Maurya, (2023) - Nonlinear quantum dynamics: From the double pendulum to Bose-Einstein condensates. This article delves into the significance of nonlinear analysis in the study of quantum systems and quantum computing. Keywords: quantum; systems
• Geometric and Topological Methods in Nonlinear Analysis by Benchohra, M. (2023) - 2. Mathematical Foundations 2.1 Manifolds Manifolds provide a geometric foundation for describing the local structure of nonlinear systems and are a fundamental concept in geometric methods. 2.2 Topology Topology studies the properties of space that are preserved under continuous deformations, making it a vital tool for understanding the global structure of nonlinear systems. Keywords: analysis; systems
• Design & Comparative Analysis of Application in Earthquake Resisting RC Structures & LRB Structure by Varshs B. Kare (2024) - The use of LRB structures as a feasible method for strengthening earthquake resistance in building structures is the primary emphasis of the study as a whole. Overall, the research focuses on the application of LRB structures as a viable solution for enhancing earthquake resistance in building structures. Keywords: analysis; base; building; earthquake; ground; isolation; loads; lrb; seismic; story; structures; systems; zone
• Optimizing Computation: A Biomimicry Design Spiral Approach to Algorithm Development by Vaishali B. Langote (2024) - [40] Soni, S. U. ., Rajput, D. S. ., R., H. ., Saranya, S. ., Joy, S. ., Chithra R., B. ., & Savadatti, M. B. . Figure 1 shows the broad variety of geometrical patterns that have evolved into a complex tapestry of natural designs. Keywords: algorithm; applications; biomimicry; design; engineering; india; nature; optimisation; spiral; systems; tuna; vol
• A Review on Quantum Key Distribution for Wireless Networks: Current Status and Future Prospects by Mohammed. I. Alghamdi (2024) - Unlinked to classical encryption techniques and styles, the main pivotal of QKD security is the law of quantum physics as opposed to computational conjectures. Introduction Security of data has now become a conscious and significant consideration, especially in the VCs growing wireless communication networks. Keywords: analysis; challenges; communications; distribution; future; information; key; networks; protocols; qkd; quantum; security; systems; wireless
• An Evacuation Vehicle's Shortest Toll-free Routing across Smart Cities using the Fuzzy Weighted Graph Technique by Angel Benjamin (2025) - In smart cities, an integrated public transportation network optimizes time, cost, comfort, safety, accessibility, and convenience for citizens through incorporating many forms of transportation. Introduction In the modern era, urbanization and economic growth have necessitated the transformation of cities into smart cities to address challenges in infrastructure, sustainability and quality of life. Keywords: cities; distance; graph; maharashtra; systems; transportation; tree; vehicles; vol
• Performance Evaluation of CFO and Channel Estimation in Hybrid Tone OFDM Signals by Shaik Riyazuddien (2025) - Recent research explores joint frameworks for CFO estimation, channel estimation and RIS configuration. CFO estimation must adapt to fast-changing scenarios. Keywords: cfo; channel; communications; estimation; mse; ofdm; pilot; ris; signal; snr; systems; vol
• Security Protection of Industrial Cyber Security with IIoT Through Zone Function Modeling Algorithm by Basi Reddy.A (2025) - Statistical models are developed with the purpose of determining risk metrics for SCADA systems, which may be employed to evaluate the probability of exploiting vulnerabilities connected with SCADA. SCADA systems are purposefully designed to cater to extended distances, such as the transportation of water or power. Keywords: analysis; attacks; control; cyber; iiot; infrastructure; physical; scada; security; systems; vol; vulnerabilities; zone
• Design of Fuzzy Fractional Order-based PID Controller for Higher Order Systems by Mohindru, Pankaj (2024) - The latest FOPID is found to be highly effective in higher-order nonlinear control systems in comparison to conventional PID controllers [9]. A novel Fuzzy fractional order-based PID (FFOPID) controller is designed to resolve all the significant issues of control systems. Keywords: control; controller; order; pid; systems
• Enhanced Privileged Access Management with Identity Access Management to Improve the User’s Safety Measures in Online Circumstances by K. R. Sumathi (2025) - Policies, standards, and guidelines Y Y Y Y Y Y 6. Compliance and monitoring Y Y Y Y Y Y 8. Keywords: access; access management; accounts; iam; identity; management; pam; security; study; systems; user; y y
• Enhancing Sustainability and Efficiency in Water Distribution Systems through Mathematical Optimization And AI by Dr. Rolly Gupta (2025) - 01-03-2025 Abstract: Efficient and sustainable management of water distribution systems (WDS) is a pressing challenge in modern urban planning and infrastructure development. Keywords: Water distribution systems, Artificial neural networks, Predictive analytics, Mathematical Optimization, Multi-objective optimization problem. Keywords: analysis; demand; distribution; energy; optimization; systems; water
• Pv Supplied Sl-Sc based High Voltage Gain Artificial Neural Networks Controlled Boost Converter for Hv Ev Charging System by Dr. Amira Nisar (2025) - High voltage gain converters are essential for matching the voltage from the PV array to the EV battery's charging voltage requirements, with minimal losses. High voltage gain converters face their main operational difficulty from voltage ripple and harmonic distortion. Keywords: boost; charging; converter; energy; gain; power; systems; voltage
• Asymptotic Expansion of the Mean Velocities of the Electrons by Deepali Saxena (2025) - Keywords: Electron transport, asymptotic expansion, quantum systems, mean velocity, Boltzmann equation, Green's function, semiconductor physics Introduction With applications ranging from basic quantum mechanics to pragmatic electronic device design, the theoretical knowledge of electron transport in condensed matter systems marks one of the pillar successes of modern physics. Computational approaches to asymptotic expansions in electron transport theory. Keywords: analysis; behavior; electron; expansions; field; mean; mobility; quantum; scattering; systems; temperature; theory; transport; velocities; velocity; vol
• Enhance Power Quality with Cascade Multilevel Inverter-Based Grid Integration of Photovoltaic Systems using Machine Learning Algorithms by Aizad Khursheed, Abul Saeed Azad (2025) - Machine learning (ML) algorithms have been increasingly applied in power systems to enhance grid stability, fault detection, and power quality regulation [7]. SVMs have been effectively used for fault detection and classification in power systems. Keywords: control; current; energy; grid; ieee; integration; inverter; multilevel; power; quality; systems; vol; voltage
• Development of Sustainable and Cost-Effective Framework for Rain Water Treatment by Punjab Singh (2025) - Regionalization of environmental and economic performances of rainwater harvesting systems. Reliability and economic assessment of rainwater harvesting systems for dairy production. Keywords: analysis; cost; filtration; harvesting; quality; rainwater; rainwater harvesting; systems; treatment; water treatment
• Fractal Geometry and Chaos Theory Unraveling the Complexity of Natural Phenomena by S. Balamuralitharan (2024) - The boxes within fractal systems must be counted by specific methods for determining fractal dimensions. Research findings validated the correct application of both fractal geometry and chaos theory in the modeling of natural systems. TABLE 1: COMPARISON OF FRACTAL DIMENSION Keywords: analysis; chaos; doi; fractal; geometry; patterns; research; systems; theory; vol
• Experiment with Adding Materials Like Microcapsules or Bacteria to Concrete for Self-Healing Properties by Yougantar Choubey (2025) - • Autonomous healing, on the other hand, involves intentional modification of concrete by embedding healing agents (such as microcapsules, vascular networks, or bacteria) that are activated when cracking occurs. In contrast, autonomous healing involves embedding healing agents such as microcapsules containing adhesives or bacteria that precipitate minerals (e.g., calcium carbonate) when activated by environmental triggers. Keywords: agents; analysis; bacteria; cement; communications; concrete; crack; healing; materials; microcapsules; self; systems
• Review on Semi Active Suspension System for Ride Comfort by Ranjit Vasant Rajale (2024) - Additionally, it solicits additional investigation and underscores the ramifications for the automobile sector, establishing the foundation for future progress and use in the realm of semi-active suspension systems. Finally, the article will conclude by providing a concise overview of the main discoveries and consequences, as well as recommendations for future research avenues in the field of semi-active suspension systems and their impact on improving ride comfort. Keywords: analysis; comfort; control; doi; ride; road; suspension; suspension systems; systems; technologies; vehicle; vol
• Electric Motor Control Using Hybrid Technique for Robotic Application by Bharathi Y H (2025) - As an example, Muda (2024) emphasised the importance of hybrid energy storage systems in the combat robot field, where real-time switching among energy systems and effective energy distribution can be carried out. Recent advances in bipedal walking robots: Review of gait, drive, sensors and control systems. Keywords: control; electric; energy; hybrid; impedance; motor; pid; robots; systems
• Framework for the Development of Hybrid Renewable Energy Systems: A Necessity for South Africa’s Clean Energy Future by Mamosothoane Hetsa, Xolani Yokwana, Motlatsi Lehloka (2025) - Hybrid renewable energy systems (HRES), involving the integration of two or more renewable technologies, have emerged as potential solutions to help the country meet its energy goals. Using the advantages of several energy sources, HRES may provide a more dependable and flexible energy supply, less vulnerable to the intermittency problems usually related with renewable energy [3]. Keywords: africa; energy; hres; hybrid; power; sources; south; systems; transition
• Advancements in Non-Linear Content-Based Image Retrieval (CBIR) Systems for Image Analysis by Y Padma (2024) - Improving the ranking quality of medical image retrieval using a genetic feature selection method. A modified procedural model for medical image information retrieval systems, focusing particularly on the classification of mammogram and lung nodule images, has been proposed. Keywords: analysis; cbir; content; highlights; image; image retrieval; nodules; research; retrieval; systems; vol
• Advanced Nonlinear Channel Estimation Techniques for 5G Wireless Communication Systems by Guntukala Surendher (2024) - In simulations, proposed channel estimation technique was compared with other techniques and the proposed method outperforms in 5G networks in non-Gaussian environments with various candidate multicarrier waveforms. The Simulations of MSE Vs SNR is shown in Fig. 7 for proposed channel estimation technique in various non-Gaussian channel environments [33]. Keywords: channel; communications; estimation; ieee; mimo; noise; ofdm; signal; snr; systems; vol; wireless
• Quantum Cryptography: Mathematical Foundations and Practical Applications for Secure Communication Protocols by Shilpa Shinde (2024) - Unresolved challenges in quantum cryptography, such as improving the efficiency and reliability of quantum communication protocols, present avenues for future investigation. Network architecture design, protocol development, and performance evaluation have been essential aspects of this research, ensuring scalability, reliability, and security in quantum communication protocols [8]. Keywords: analysis; communication; cryptography; distribution; entanglement; information; key; protocols; qkd; quantum; secure; security; states; systems
• Stochastic Differential Equations in Physics by Nand Kumar (2024) - These numerical techniques play a crucial role in simulating the dynamics of stochastic systems and predicting their behavior under different conditions. Therefore, numerical methods are indispensable for approximating solutions and understanding the behavior of stochastic systems. Keywords: physics; processes; quantum; sdes; stochastic; systems
• Analytical Study of Coupled Schrödinger Equations with Fractional Damping: Decay Solutions and Stability Analysis by Eric Howard (2024) - 23-06-2024 Abstract: Coupled Schrödinger equations with fractional damping represent a complex yet fascinating area of study in quantum mechanics. The study of coupled Schrödinger equations with fractional damping has garnered significant attention in recent years, drawing upon a rich body of literature spanning various disciplines within physics and applied mathematics. Keywords: analysis; damping; equations; quantum; stability; systems

• An Efficient and Energy Aware Routing Protocol for Underwater Wireless Sensor Network by K.M.Padmapriya (2024) - Furthermore, UWSN nodes are battery operated and recharging them underwater is very much difficult hence the need for efficient power consumption. Pulrp: Path unaware layered routing protocol for underwater sensor networks. Keywords: density; energy; grid; ieee; networks; nodes; routing; sensor; transmission; underwater; uwsn
• Validation of Size of Semiconductor Nano Material: Effect on Size and Shape by H V Ganvir (2024) - Band gap energy of single-crystal nanoparticles (SCN) is determined by the size and form of the particles. This suggests that the change in activation energy is proportionate to the change in energy band gap. Keywords: analysis; band; band gap; energy; equation; gap; nanomaterials; semiconductor; size; values
• Single-Phase Multilevel Inverter Design with Low Voltage Stress and Optimized Control Model by Vijayalaxmi Biradar (2024) - Applications of energy storage systems in power grids with and without renewable energy integration—A comprehensive review. A constrained inter submodule state-of-charge balancing method for battery energy storage systems based on the cascaded H-bridge converter. Keywords: analysis; battery; bess; components; control; design; electricity; energy; grid; power; voltage
• Construction Of Ocean Wave Generator Test Rig for Wave Energy Harvesting by Ganesh Korwar (2024) - It can be noted that the proposed WEC will utilize wave energy when the wave vertical velocity exceeds the threshold value of 0.07 m/s. The increasing global demand for renewable energy sources has intensified the focus on harnessing ocean wave energy. Keywords: energy; generator; mechanism; ocean; power; vol; wave; yoke
• Artificial Rabbits Optimization Algorithm for PV Cell Parameter Extraction by Vimalakeerthy Devadoss (2024) - [14] N. Rajasekar, K. Neeraja, V. Rini, Bacterial Foraging Algorithm based solar PV parameter estimation, Solar Energy. https://doi.org/10.1109/T-ED.1987.22920 https://www.sciencedirect.com/science/journal/0038092X https://doi.org/10.1016/j.solener.2011.06.008 https://doi.org/10.1109/TSTE.2016.2606421 https://doi.org/10.1016/j.sse.2007.12.010 https://www.sciencedirect.com/science/article/pii/S1364032117312777 https://www.sciencedirect.com/science/article/pii/S1364032117312777 https://doi.org/10.1016/j.rser.2017.09.028 https://doi.org/10.1088/0957-0233/12/11/322 https://doi.org/10.1109/TPEL.2009.2013862 https://doi.org/10.1016/j.enconman.2013.03.033 https://doi.org/10.1109/TPEL.2012.2188818 https://doi.org/10.1016/j.enconman.2014.10.025 https://doi.org/10.1016/j.apenergy.2012.09.052 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 3 (2025) 625 https://internationalpubls.com [12] M.F. Alhajri, K.M. El-Naggar, M.R. Alrashidi, Optimal extraction of solar cell parameters using pattern search, Renew Energy. 44 (2012) 238–245. Keywords: algorithm; aro; energy; module; optimization; parameters
• Analysis of Combination Power Generation Using Renewable Energy Sources and Its Applications by Karrar Hussain (2024) - [8] discussed the ideal hybrid microgrid concept while taking into account variable load characteristics[9].The major goal of this project is to create a hybrid micro grid powered by renewable energy sources wind, solar PV, and batteries and operate its power converters efficiently. The proposed fuzzy logic controllers-based hybrid micro grid energy management approach makes stable energy management converters of power energy management. Keywords: battery; energy; grid; hybrid; load; power; solar; sources; voltage; wind
• Navigating Tomorrow Non-Linearly: A Holistic Exploration of Smart and Secure EV Charging Infrastructure in Parking Facilities by Sohel Bhura, et al. (2023) - The strategic positioning of electric vehicle charging stations is crucial in tackling issues like battery costs, economic volatility, and complicated integrations. Many benefits are anticipated by the study, such as improved utility customer relations, a large-scale installation of charging stations, cost savings for EV drivers and station owners via demand response programs, and improved electricity planning made possible by data from EV charging infrastructure. Keywords: analysis; charging; electric; energy; infrastructure; international; power; stations; vehicle; vol
• Energy Efficiency Challenges in Ecuador in the Face of Increasing Electricity Consumption Per Capita by Walter Paul Rueda Flores (2025) - Electrical energy consumption per inhabitant in Ecuador Note: Prepared from the Ministry of Energy and Mines(2023). Now, regarding the distribution of electrical energy consumption in Ecuador, it is mainly residential with 35%, followed by industrial with 25% of consumption (figure 2). Keywords: analysis; consumption; country; ecuador; electricity; energy; generation; increase; renewable; sector
• Linear Analysis of Optimal Energy Management in Hybrid Electric Vehicle using Evolutionary Algorithms by Subhashini.S (2025) - When employing the NMR optimised PI controller for torque regulation, the battery's ultimate state of charge (SOC) is 42.54%, which is superior to previous algorithms. Figure 10 Torque Error Comparison – Scenario (iii) Conclusion In the proposed Energy Management System of the Hybrid Electric Vehicle model, this conclusion has provided an efficient way to best tune the gain parameters of PI controllers that control the torque and speed of the motor, generator, and ICE. Keywords: algorithms; controller; energy; management; optimisation; torque; vehicle; vol
• Archimedes Screw Turbine Design for Low-Head River: As a Pico-Hydro Power Generator for Electric Vehicle Charging by Muhammad Amin Sabe (2025) - In determining the appropriate dimensions of the cross-flow turbine for electric vehicle battery capacity, an analysis was carried out on the correlation of output performance between the effect of output power (Pout), available power (Pavail), total volume flow rate (Qt), head (h), and efficiency (ɳ) on the increase of screw turbine output power (PASG), which will then be adjusted to the input capacity of the electric vehicle battery. 2. Head (h) = 0.80 m, total torque (Ttotal) = 9.09 Nm, total discharge (Qt) = 5.41 m³/s, shaft power (Pout) = 465.47 W, power available in the flow (Pavail) = 42,243.73 W, and screw turbine output power (PASG) Keywords: analysis; archimedes; energy; flow; head; length; output; pasg; pitch; power; power output; screw turbine; turbine; water
• Design of Hybrid System for Remote Area Electrification at Trishuli, Chhattisgarh, INDIA by Payal Deshpande, Pragya Nema (2025) - Feasibility of Site Selection and its implementation: The common steps taken into consideration in the normal procedure of rural electrification include: The load is first calculated by looking at how much power other nearby electrified villages use, as well as by looking at the residents' individual demands and economic capabilities. The economics of rural energy use in developing countries. Keywords: analysis; energy; grid; vpv; 𝑉𝑜 𝑅𝐶
• LRS Bianchi Type-I Magnetized Dark Energy Cosmological Model in Bimetric Theory of Relativity with Cosmological Term – Λ by Swapnil S. Charjan (2024) - Solution of Field Equations Without Magnetic Field Case I: 𝜌 + 𝜆 = 0 When the magnetic field is not present equation (19) becomes 𝑑𝑠2 = − 𝑑𝑇2 [ 4𝛼 (4−𝑛)(𝑛+2)𝑇𝑛+𝑀𝑇2] + 𝑇2𝑛𝑑𝑋2 + 𝑇2(𝑑𝑌2 + 𝑑𝑍2) (36) Case II: 𝜌 − 𝜆 = 0 When the magnetic field is not present equation (25) becomes Communications on Applied Nonlinear Analysis ISSN: Through the proper coordinate transformation 𝐵 = 𝑇 , 𝑥 = 𝑋 , 𝑦 = 𝑌 𝑎𝑛𝑑 𝑧 = 𝑍 metric (4) becomes 𝑑𝑠2 = − 𝑑𝑇2 [ 96𝜋𝛫𝑇𝑛 (4−𝑛)(𝑛−2) + 4𝛼 (4−𝑛)(𝑛+2)𝑇𝑛+𝑀𝑇2] + 𝑇2𝑛𝑑𝑋2 + 𝑇2(𝑑𝑌2 + 𝑑𝑍2) (19) Case II: Keywords: dark; energy; field
• Environment Analysis and Standard of Living: A Case of Member Nations of Indian Ocean RIM Association by Manbir Singh (2025) - The variables are life quality index, safety index, healthcare index, pollution index and climate index. . But a negative association exists between life quality index, pollution index and climate index. Keywords: analysis; association; co2; emissions; energy; index; indian; life; living; ocean; quality; standard
• Green Hospitality: Integrating Eco-Friendly Practices into Hotel Operation by Neelam Yadav (2025) - Environmental concerns and behavioral intention to visit green hotels: The moderation of eco-friendly image. Staff Training and Guest Engagement Role Training the staff is important in ensuring the execution of green hospitality practices. Keywords: energy; green; hospitality; hotels; management; practices; water
• Impact of Section 118 of Hptlra-1972 on Environmental Protection, Climate Change, and Entrepreneurial Environmentalism by Lalit Jain (2025) - 2. Environmental Protection • Ensures sustainable land development by requiring Environmental Impact Assessments (EIA) for large projects (Rajput, 2018). Sustainable Agriculture and Land Use o By prioritizing land ownership for agriculturists, the provision ensures that agricultural land is not converted into commercial or industrial zones indiscriminately, thereby preserving soil health and sustainable land use practices (Verma, 2021). Keywords: climate; development; energy; himachal; land; pradesh; projects; section; sharma; use
• Brics and the 2030 Agenda: A Collaborative Pathway to Sustainable Development by Kulvir Kaur, Arief Hussian Ganaie (2025) - The BRICS countries have made significant strides in aligning their national development policies with the SDGs and have initiated various projects and frameworks that contribute to global sustainable development. The research highlights that while BRICS nations face significant socio-economic and geopolitical challenges, they collectively possess immense potential to contribute to global sustainable development due to their economic power, large populations, and diverse resources. Keywords: agenda; brics; challenges; development; energy; global; sdgs; south
• Application of Structural Equation Modeling in Measuring Owner-Occupiers’ Satisfaction with Green Homes in China by Dan Wang (2025) - Perceived energy efficiency is also a key driver of green home satisfaction since it is the perception by residents of how effective their homes are in reducing energy use without sacrificing comfort (Park et al., 2024). No. 10s (2025) 1253 https://internationalpubls.com While previous research has shed light on the determinants of green home satisfaction, a number of research gaps still exist. Keywords: downloads; ease; efficiency; energy; energy efficiency; et al; features; file:///c:/users; grace; green; home; housing; occupiers; owner; quality; research; satisfaction; technology; use
• Low-Power DSP Architectures for Wireless Communication Using Vedic Mathematics by Ramesh Solanki (2024) - It has been shown through the research that the power dissipation and computational speed of Vedic Based DSP architectures is lower than that of the conventional Booth, Wallace and Karatsuba multipliers. Literature Gap Though there has been significant progress in low power DSP architectures and incorporating Vedic Mathematics for high speed arithmetic operations, still many research gaps have remained open. Keywords: analysis; architectures; communication; dsp; efficiency; energy; power; processing; signal; vedic; wireless
• Analytical Study of Perfect Insulation in a Vertical Wall Based on Internal Energy Generation by Murteza Sanjaranipour, Faramarz Sarhaddi (2025) - 8. Z. Zhang, B. Song, L. Zhang, R. Fang, X. Wang, Y. Yao, G. Wu, Q. Li, Y. Shi, A node optimized metamaterial with high mechanical properties and heat insulation, International Journal of Mechanical Sciences, 286, 109907, 2025. Perfect thermal insulation refers to a system that completely prevents heat transfer between two areas. Keywords: energy; generation; insulation; 𝑇𝑠1; 𝑇𝑠2
• Forecasting Capacity Price in CA Power Market (CAISO) by Ritesh Kumar (2024) - This paper studies the behavior of capacity prices in electricity markets and develops a model to forecast capacity price in short term and medium term in California market (CAISO). As the name suggests, the generators are paid “Capacity price “ just to make their capacity available to the grid. Keywords: capacity; energy; market; price; term
• Neuromorphic Computing Chips for Low-Power Edge AI Applications by Jyoti G (2025) - In this study, the researchers have found that neuromorphic computing chips are a disruptive innovation to further provide significant energy savings, latency improvements, as well as real- time responsiveness to edge AI applications. The need to find a solution to efficient, scalable deployment of AI into various industries increases, and neuromorphic chips will provide an attractive way to generate, as well as ensure energy efficiency and sustainability. Keywords: accelerators; chips; computing; edge; energy; et al; power
• Next-To-Leading Order Scalars Dispersion Relations in HTL Scalar QED by Abdallah Belhaddad, Karima Bouakaz (2025) - We use expression (8) to plot the variation of NLO scalar energy (Fig.4) and damping (Fig.5) energy with p. Figure4: The scalar energy variation with p Figure5: The scalar damping variation with p Figure 4 displays the momentum dependence of the NLO scalar energy. = − − −  0k  ( )( ) ( ) ( ) ( ) ( )  2 2 2 0 2 2 0 0 0 0 1 2 4 4 , , B q SL q A A q l q q l q n kie d Keywords: energy; k k; scalar
• Optimizing Forest Surveillance: A Hybrid Algorithm Combining ACO and ABC by Yatish SJ (2024) - No. 4s (2024) 33 https://internationalpubls.com Table 1 represents the Performace of ACO algorithm in drone Surveillance for the Scenario 1 and 2 Path Length: ACO finds relatively efficient routes for drone surveillance missions, as seen by its moderate path length optimization. Analysis of ABC in swarm of drone Surveillance using performance metrics, statistical values, and the efficiency of the algorithms Fig 3 represents the swarm in surveillance using ABC optimization Metric Performance (mean ± standard deviation) Efficiency Path Length (units) 950 ± 75 Improved Flight Time (minutes) 42 ± 4 Improved Energy Consumption (kWh) 11 ± 1 Improved Convergence Speed 100 iterations Improved Solution Quality 92% optimal solutions Very Good Robustness Resilient to varying conditions Very Good Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 4s (2024) 34 https://internationalpubls.com Scalability Effective for various scenarios Very Good Resource Usage Low CPU and memory usage Very Good Table 2 represents the Performace of ABC algorithm in drone Surveillance for the Fig 3 Path Length: ABC regularly finds shorter and more effective paths for drone surveillance missions, demonstrating enhanced path length optimization. Keywords: abc; aco; algorithm; analysis; ant; bee; bees; colony; drone; energy; optimization; path; solution; surveillance; swarm; vol
• Exploring Fractional Quantum Mechanics: Stability Analysis and Wave Propagation in Coupled Schrödinger Equations by Iftekher S. Chowdhury (2024) - These techniques provide insights into the stability properties of solutions to fractional Schrödinger equations, helping us understand the long-term behavior of quantum systems subjected to nonlinear potentials and fractional derivatives Now we see how stability analysis techniques can be applied to analyze the stability of solutions to fractional Schrödinger equations. Fractional quantum mechanics addresses these limitations by introducing fractional derivatives into the mathematical formalism. Keywords: analysis; energy; stability

• Routing through LEO Satellite Constellation Networks: A DopplerShift Measurement based Coverage window Detection Approach by Eman Adel Elbehiry (2024) - In addition to the proposed technique utilizing Doppler measurements for estimating satellite visibility windows in IoT devices, the system is structured around two ground stations. This study proposes a framework for deciding satellite visibility windows in two scenarios: (i) when the ground IoT device’s geographic location is known via external input, and (ii) when the IoT device is unaware of its location Keywords: algorithm; analysis; angle; communications; dijkstra; doppler; elevation; ground; ground station; iot; measurements; orbit; path; satellite; station; visibility; window
• Pruned DFT based FBMC employing PPN with Low Latency Low PAPR by Prathyusha V (2025) - Utilizing trimmed DFT spread FBMC has become preferable for throughput over regular FBMC-OQAM whenever the channel remains nearly uniform over the entire transmission bandwidth. Utilizing decreased DFT for precoded OFDM results in trimmed DFT OFDM. Keywords: analysis; communications; dft; fbmc; fig; ofdm; ppn; signal; vol
• Design and Analysis of Compact CPW-Ultra Wideband Microstrip Patch Antenna for V2X, Sub-6GHz, and other Wireless Applications by Neetu Gupta (2025) - The usage of corporate feeding lines, CPW-fed antenna, and microstrip patch antenna for wideband or multiband and configurable systems has been explained in several studies [2], [25], [26]. In this anticipated CPW microstrip wideband patch antenna ground and patch are on the same side, and its opposite side metal is not used. Keywords: analysis; antenna; band; communications; figure; frequency; gain; ghz; microstrip; patch; pattern; radiation; vol
• A Novel Miniature Microstrip Patch Antenna for UWB Applications by Shivani Chourasia (2025) - A review on microstrip patch antenna and feeding techniques. In this work, the utra wideband patch antenna has been designed and simulated which achieved a bandwidth of 11GHz of bandwidth. Keywords: analysis; antenna; applications; bandwidth; communications; design; dimensions; frequency; ghz; ground; microstrip; patch; radiation; uwb; vol; wireless

• Night Patrolling Robot: Enhancing Urban Security and Innovation by Kaushalya Thopate (2024) - There is still a wide area of research to be conducted on security robots to fully implement them in our everyday lives. By combining state-of-the-art sensors, cameras, and autonomous navigation systems, night patrolling robots offer several key benefits. Keywords: camera; motor; night; patrolling; robot; security; sensor
• Advanced Nonlinear Analysis Technique in Modern Transposition Ciphers by G. M. Karpura Dheepan (2024) - Nonlinearity: 2 ( ) max W( ( ) W( ))nx NL S S x x  =  F where: W - Walsh-Hadamard transform. Including chaotic sequences into S-box generating helps the method attain lower differential uniformity and higher degrees of nonlinearity than conventional ciphers. Keywords: box; chaos; ciphers; columnar; differential; map; permutation; security; transposition
• Quantum Resistant Cryptosystem-Based Security Protocol for 5G Network by Hitesh T Loriya (2024) - Two main types of cryptosystems used for secure information transfer are private key cryptosystems and public key cryptosystems. NTRU's efficiency surpasses that of other public key cryptosystems in both hardware and software implementations. Keywords: key; message; ntru; polynomial; public; security
• Leveraging LDPC-Optimized Niederreiter Cryptosystems for Quantum-Resilient IoT Security Applications by Krishnaprabha. R (2025) - Integrating LDPC Codes with Niederreiter Several attempts to integrate LDPC codes with code-based cryptosystems have shown promise but often lack scalability or practical implementation insights. By leveraging the structural advantages of LDPC codes, the proposed system achieves significant reductions in key sizes and improves decoding efficiency while maintaining strong quantum resistance. Keywords: check; codes; cryptosystem; decoding; error; iot; key; ldpc; ldpc codes; matrix; niederreiter; niederreiter cryptosystem; parity; quantum; security; size
• An Econometric Analysis of Egypt's Cereal Production and Environmental Emissions for Food Security by Zainab Shawky El-khalifa (2025) - Agricultural emissions totaled approximately Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 3 (2025) 727 https://internationalpubls.com 22.26 Mt CO2e in 2021, accounting for 7% of the overall emissions for all sectors in 2021. However, agricultural emissions significantly harm the environment. Keywords: agriculture; analysis; ardl; cereal; climate; egypt; emissions; et al; food; ghg; granger; production; security; variables
• Number Theory and its Applications in Cryptography Recent Developments by S. Balamuralitharan (2024) - Research data showed that quantum hack penetration defeated RSA and ECC cryptographic systems but successfully secured lattice-based cryptography for both attack types. RELATED WORKS In 2024 Y. Cheng, [13] introduced the deployment of public-key cryptography within classical cryptography systems relies primarily on number theory computational obstacles. Keywords: cryptography; ecc; encryption; key; lattice; number; quantum; rsa; security; vol
• Automated Emerging Cyber Threat Identification and Profiling Using Java-Based Natural Language Processing Techniques by Sasidhar Reddy Gaddam (2023) - REFERENCES 1. M. Arazzi, D. R. Arikkat, S. Nicolazzo, A. Nocera, R. R. K. A., V. P., and M. Conti, “NLP- based techniques for cyber threat intelligence,” arXiv preprint, Nov. 2023. M. Conti et al., “NLP-based techniques for cyber threat intelligence,” arXiv preprint, Nov. 2023. Keywords: analysis; cyber; cybersecurity; framework; intelligence; java; nlp; profiling; security; threat
• Statistical Analysis of Hybrid AES using Cryptographically Secure Pseudorandom Bit Generator by Md. Hasanujjaman (2025) - AES AESGF7 AESBBS 1 0.972766 0.980000 0.983333 0.990000 2 0.972766 0.986667 0.993333 0.990000 3 0.972766 0.986667 0.990000 0.986667 4 0.972766 0.993333 0.990000 0.990000 5 0.972766 0.993333 0.986667 0.996667 6 0.972766 0.990000 0.990000 0.990000 7 0.972766 0.996667 0.983333 0.980000 8 0.972766 0.980000 0.990000 1.000000 9 0.972766 0.990000 0.980000 0.986667 10 0.972766 0.983333 0.986667 0.986667 11 0.977814 0.981667 0.985000 0.980000 12 0.972766 0.990000 0.993333 0.980000 13 0.977814 0.983333 0.978333 0.990000 14 0.983907 0.989583 0.986667 0.986250 15 0.985938 0.990741 0.991481 0.985741 US This result indicates that while hybridization can resolve certain statistical weaknesses, it can also subtly alter the ciphertext in ways that affect other statistical measures. AES AESGF7 AESBBS 1 3.140423e-01 5.544205e-01 1.346864e-01 2 4.749856e-01 4.311432e-01 9.357164e-01 3 3.190834e-01 7.332279e-01 5.341462e-01 4 6.232396e-01 3.838266e-01 5.749034e-01 5 7.061487e-01 4.814162e-01 5.476370e-01 6 5.341463e-01 5.305943e-02 9.092684e-03 7 3.345381e-01 9.466413e-02 2.095769e-01 8 4.190212e-01 6.232397e-01 2.535507e-01 9 8.930010e-01 2.368098e-01 3.293316e-01 10 7.197465e-01 4.372742e-01 7.061487e-01 11 6.348169e-02 1.641204e-01 2.560703e-05 NU 12 2.409136e-01 7.791877e-01 9.957112e-01 13 2.881717e-02 3.517352e-02 6.267086e-01 14 7.687172e-01 6.215056e-01 5.898400e-02 15 3.430931e-04 3.093318e-01 7.632939e-03 Keywords: aes; aesbbs; aesgf7; analysis; encryption; generator; hybrid; nist; randomness; security; test; value; vol
• Cryptographic Protocols Resilient to Quantum Attacks: Advancements in Post-Quantum Cryptography by Pallavi Niraj Vithalkar (2024) - It's not just a nice idea to work on post-quantum security methods; we need to do it right away to protect our digital assets from the danger of quantum attacks. People have tried to make hardware versions of post-quantum cryptographic methods that work well and can be used in places with limited resources Keywords: algorithms; analysis; attacks; computing; cryptography; encryption; key; lattice; methods; protocols; quantum; security

• The Impact of Hybrid Work Models on Employee Well-being and Engagement by T. Saritha (2024) - 30-06-2024 Abstract: This study investigates the impact of hybrid work models on employee well-being and engagement in modern organizational settings. Additionally, the study explores the relationship between hybrid work models and employee engagement, considering factors such as communication patterns, collaboration dynamics, and managerial support. Keywords: analysis; employee; engagement; hybrid; models; study; work
• Effective Green Entrepreneurship and Sustainability: Analysis with a Hybrid Model by Shouvik Sanyal (2024) - The research objectives are to evaluate the role of hybrid entrepreneurship models that integrate sustainability and profitability, assess the global impact of green entrepreneurship, identify challenges in balancing eco-friendly practices with economic goals, and also recommend solutions for supporting sustainable business growth, and innovation. the effect of green innovation on green entrepreneurship sustainability. Keywords: analysis; business; eco; entrepreneurship; green; hybrid; models; research; sustainability
• Revolutionizing Heat Transfer and Fluid Flow Models: Fractional Calculus and Non-Newtonian Dynamics Meet Advanced Numerical Methods by Prabhat Kumar (2024) - **Ahmad et al. (2023)** compared various numerical techniques, including the Iterative Power Series (IPS) method and Finite Element Method (FEM), for solving fractional heat transfer equations in porous media. These studies have demonstrated the potential of fractional derivatives and non-Newtonian fluid models in capturing complex thermal and flow behaviours, offering new insights and practical solutions for a wide range of engineering applications. Keywords: analysis; applications; calculus; dynamics; flow; fluid; fractional; heat; heat transfer; modelling; models; nanofluid; transfer
• Mixed Stereographic Circular Probability Model: A comparative study using M. L Estimation by D.V. L. Prasanna (2025) - 1. Introduction Mardia and Jupp (2000)[1], Jammalamadaka S. Rao and Sen Gupta (2001)[2] discussed the methodologies like wrapping, stereographic projection, offset, and increasing sun function etc., to develop circular probability models and formulas to evaluate the various characteristics of these models. Minh and Farnum (2003)[3] developed ‘inverse stereographic methodology’ using bilinear transformation to induce new circular probability models. Keywords: distribution; models; probability; 𝑖=1
• A Comprehensive Review of Fractional Calculus in Modeling Real-World Phenomena by Azim Uddin (2025) - Keywords: fractional calculus, fractional derivatives, real-world phenomena, anomalous diffusion, viscoelasticity, modeling, long-range dependence mailto:Prachijuyal@yahoo.com mailto:skvalli2k5@gmail.com mailto:sslbharani@gmail.com mailto:ckh4545@gmail.com Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 4. Numerical Approaches and Implementation Implementing fractional calculus in practical applications demands specialized numerical methods due to the non-local nature of fractional derivatives. Keywords: calculus; derivatives; fractional; integer; memory; methods; models; order
• Game Theory and its Applications in Economics: A Mathematical Perspective by S. Balamuralitharan (2024) - The first aspect introduces detailed mathematical information about game theory which includes comprehensive explanations of Nash equilibrium and evolutionary game theory together with cooperative game theory. Abstract: Game theory, a branch of mathematics, offers valuable insights into the strategic behavior of rational decision-makers in competitive and cooperative scenarios. Keywords: analysis; doi; equilibrium; firm; game; market; models; player; strategy; theory; vol
• Providing Context for Hate Speech Classifiers using Post-hoc Explanations by Puspendu Biswa, Donavalli Haritha (2025) - Experiment Details Balancing performance on hate speech detection and the NYT test set is our quantitative measure of how well a model has learned the contexts in which group identifiers are used for hate speech. We have shown hate speech models to be over- sensitive to group identifiers and unable to learn from the context surrounding these words during training. Keywords: et al; explanations; group; hate; identifiers; models; speech; terms
• A Dynamical Systems Perspective on Echo Chamber Polarization: Integrating Laplace and Runge-Kutta Methods by Suresh Kumar Sahani, Binod Kumar Sah (2021) - It is necessary to have a modeling framework that is capable of capturing abrupt ideological changes, the stability of belief systems, and the network dynamics that are responsible for echo chambers in order to address these phenomena. We use Laplace transforms to assess equilibrium stability and the Runge-Kutta technique to numerically model polarization dynamics. Keywords: belief; chambers; differential; dynamics; echo; laplace; models; runge
• Topological Methods for Solving Nonlinear Equations in Financial Mathematics by Nidhi Jain (2024) - 12-05-2024 Abstract: This paper explores the integration of topological methods in solving nonlinear equations within the realm of financial mathematics. Introduction In the field of financial mathematics, nonlinear equations are indispensable for capturing the complexities and dynamics inherent in financial markets. Keywords: doi; equations; methods; models; topological; vol
• Regime-Aware Short-Term Trading Strategy Using Hidden Markov Models and Monte Carlo Simulation by Chaitya Shah (2025) - Abstract: This paper presents a new short term trading strategy for financial markets that considers market regimes. [3] K. Nystrup, T. F. Maare, and T. B. Pedersen, “Market regime switching models for active asset allocation”, Quantitative Finance and Economics, vol. 1, no. 1, pp. Keywords: carlo; market; models; monte; price; regime; simulation; strategy
• A Unified Framework for High-Resolution Text-to-Image Generation Using Stable Diffusion with Adaptive Upscaling via Real-ESRGAN and EDSR by Shital.P.Mohite (2025) - Stable Diffusion's architecture, based on a latent diffusion process conditioned on CLIP- based text embeddings, represents a significant step forward in achieving a balance between image quality, generation speed, and accessibility, making it a widely adopted model for various text-to-image synthesis applications.2.2 Image Super-Resolution Image super-resolution (SR) is the task of upscaling low-resolution images to higher resolutions while recovering lost details and enhancing visual quality. We demonstrate the superiority, flexibility, and efficacy of this pipeline through experimental analysis, mathematical modelling, and visual comparisons Keywords— Latent Diffusion Models, Super-Resolution, Real- ESRGAN, EDSR, Text-to-Image Synthesis, Stable Diffusion, Image Upscaling Introduction Text-to-image generation is a cross-modal task that merges image creation and natural language recognition. Keywords: diffusion; esrgan; generation; image; models; resolution; super; text

• Brain Hemorrhage Medical Imaging is Filtered with a PDE Based and Classified using Extracted Features by N. Bhuvaneswari (2024) - When the head CT images are being pre-processed or have distortion removed, the proper filter is utilised. [3] Nian Wang, Fei Tong, Yongcheng Tu, Hemu Chen, Yong Zhou, Jun Tang, Extraction of Cerebral Hemorrhage and Calculation of Its Volume on CT Image Using Automatic Segmentation Algorithm, IOP Conf. Keywords: analysis; brain; classification; features; hemorrhage; image; lpq; processing; rof; vol; 𝑇𝑃 𝑇𝑃
• A Robust Pre-processing Framework for ROI Extraction in Knee Osteoarthritis X-Ray Analysis by Ravindra D. Kale (2024) - Input: Original Knee X-ray Image. This work presents a rapid and simple approach to get the area of interest (ROI) from knee X-ray images such that the Kellgren and Lawrence (KL) technique may be used for accurate grading. Keywords: analysis; classification; contrast; figure; image; joint; knee; noise; osteoarthritis; processing; ray; roi
• Hybrid Framework for Twitter Data Sentiment Classification using MLP-Deep Learning by L. Sudha Rani (2025) - Deep learning for aspect -based sentiment analysis: a comparative review. Weakly supervised framework for aspect -based sentiment analysis on students2019 reviews of moocs. Keywords: analysis; aspects; classification; dataset; framework; method; pos; sentiment; tags; unigram
• Topological Methods in Knot Theory: Analyzing the Complexities of Knotted Structures by C.J enita Nancy (2025) - • Application-Oriented Discussion ❖ In this thesis, we analyze how the principles of topological quantum computation work with the help of knot invariants to write down quantum states. In this context of quantum computation, the use of knot invariants to encode and process quantum information in a fault tolerant manner is known as topological quantum computation. Keywords: classification; doi; homology; invariants; knot; methods; polynomial; theory; topological; vol

• Effectiveness of Customer Relationship Management Practices at Hyundai Motors by G.M. Siddeeq (2024) - Introduction & Meaning Of CRM: Customer relationship management is attracting maintaining and enhancing customer relationship in multi-service organizations (Berry 1983). The process of developing a cooperative and collaborative relationship between the buyer and seller is called customer relationship management shortly called CRM. Keywords: company; crm; customer; management; relationship; study
• Technology Transformations In Infrastructure – A Systematic Review by CA Jagjit Padgaonkar (2024) - By systematically examining a wide range of scholarly works, this study aspires to unravel the nuanced layers of technological evolution, pinpointing key themes that have emerged as pivotal in reshaping the financial landscape of infrastructure projects. In this dynamic landscape, the combination of technology has become a driving force to reshaping traditional approaches and revolutionizing the management of finances in infrastructure projects. Keywords: analysis; digital; et al; finance; finance management; india; information; infrastructure; infrastructure project; literature; management; project; project finance; research; review; technology; transformation
• Enhancing Talent Quality in Chinese Language and Literature: Insights from Total Quality Management by Ming Li (2025) - No. 7s (2025) 108 https://internationalpubls.com Research Hypotheses H1: There is a relationship between university management factors and student talent quality training. H3: There is a relationship between teacher factors and student talent quality training. Keywords: analysis; chinese; development; education; factors; language; literature; management; quality; student; student talent; talent; talent quality; talent training; teaching; training
• Building Trust and Enhancing Knowledge Sharing: Exploring Human Resource Knowledge Management in Hubei’s Art Design Industry by Qiu Yu (2025) - Received: 28-10-2024 Revised: 05-11-2024 Accepted: 13-12-2024 Abstract: This study explores the relationship between Human Resource Knowledge Management (HRKM), organisational trust, and employee knowledge sharing within the art design associations of Hubei, China. This study aims to explore the relationship between organisational trust management and employee knowledge sharing, providing insights that can inform both academic research and practical business strategies within Wuhan’s art and design sector. Keywords: analysis; art; design; employee; employee knowledge; hrkm; journal; knowledge; knowledge management; knowledge sharing; management; practices; research; study; trust
• Jurimetric and Nonlinear Analysis of Legal Politics in the Regulation of Plantation Cultivation Rights: A Juridical Approach to Justice in Land Tenure Boundaries by Dinalara Dermawati Butarbutar (2025) - After the birth of the UUPA, the definition of state land is land that is not attached to land rights. ⚫ Judicial Decisions: Analysis of court rulings related to disputes over HGU land tenure, especially those that highlight legal ambiguities and conflicts between agrarian justice and economic policies. Keywords: agrarian; cultivation; entities; hgu; hlm; indonesia; justice; land; land tenure; law; management; people; regulations; resources; rights; state; tenure; vol
• Evaluation of the Implementation of Quality Management System in Risk-Based Construction Services Procurement Process to Improve Contractor Quality Performance in PT XYZ by Alda Dea Vinna (2025) - This study provides practical contributions for PT XYZ and other construction companies in integrating risk- based QMS as an effort to improve the quality of construction service procurement. Furthermore, this research aims to develop a QMS strategy that can improve the quality of contractor performance in the context of construction services procurement at PT XYZ. Keywords: analysis; bcf; construction; construction services; contractor; implementation; management; process; procurement; project; pt xyz; quality; risk; services; services procurement; work; xyz
• The Role of Retention Strategies in Enhancing Employee Satisfaction: An Empirical Study by Vidit Srivastava (2025) - Following is a tabular representation of the review of literature based on the sources discussed in relation to employee retention strategies, satisfaction, and turnover reduction:Following is a tabular representation of the review of literature based on the sources discussed in relation to employee retention strategies, satisfaction, and turnover reduction: Author(s) The impact of employee retention strategies on the performance of Nigerian banks. Keywords: career; development; employee; job; management; retention; satisfaction; strategies; turnover; work
• To Identify and Prioritize Challenges in Integrating Industry 4.0 Technologies for Sustainable Supply Chain Management by Karan Pal Singh (2025) - Finally, external factors such as inconsistent regulatory frameworks, lack of stakeholder collaboration, and evolving consumer expectations exacerbate the complexity of adopting Industry 4.0 technologies for sustainable supply chain management. The phases of the AHP process in this study reflect a detailed approach to breaking down the multilevel decision-making problem, ensuring systematic evaluation and prioritization of challenges for effectively integrating Industry 4.0 technologies into sustainable supply chain management. Keywords: chain; challenges; industry; management; supply; table; technologies; vol
• Exploratory Study Analysing Factors Influencing Strategic Human Resource Management Practices in Indian IT Companies by Pankaj Raj Kumar, (2025) - The existing study aims to find out factors that affect Strategic human resource management. Mean Difference 95% Confidence Interval of the Difference Lower Upper Organisational Structure 92.030 383 .000 4.125 4.04 4.21 Skills set of Employees 88.974 383 .000 4.086 4.00 4.18 Leadership styles 102.804 383 .000 4.331 4.25 4.41 Manpower requirements 100.112 383 .000 4.148 4.07 4.23 Organisational culture 77.803 383 .000 3.820 3.72 3.92 Technological change 55.335 383 .000 3.219 3.10 3.33 Social and economic environment 122.173 383 .000 4.505 4.43 4.58 Table 4 analysed the t test statistics of the study related to factors affecting Strategic human resource management and documented that social and economic environment (t=122.173) followed by leadership styles (t=102.804) are the prime factors affecting Strategic human resource management. Keywords: change; employees; factors; management; research; resource; resource management; shrm; study
• The Effect of Effective Leadership on a Building Project by Pradeep Mamgain (2025) - This study explores leadership's critical role in construction management, focusing on how communication strategies, decision-making processes, and leadership styles shape project outcomes. Because of its capacity to motivate people, encourage creativity, and guarantee excellent outcomes, transformational leadership has attracted a lot of attention among the different leadership philosophies. Keywords: construction; impact; leadership; management; project; stakeholder; success; team
• Impact of Pedagogies Strategies on Training of Undergraduate Students to Select Career in Hotel Management by Ratika Duggal, Ashish Raina (2025) - Optimizing internship experiences for hospitality students: Insights from industry professionals. Workplace experience and its impact on career decision- making for hospitality students. Keywords: career; education; hospitality; industry; internship; journal; management; students
• Sustainable Human Resource Management in Hospitality Sector: An Innovative and Fruitful Way for Better Ergonomics and Organization Growth in India by Chanchreek Sharma (2025) - Role of Sustainable HRM in Reducing Attrition and Enhancing Employee Retention 2.1 There is a weak negative correlation between sustainable HRM practices and employee retention when sustainable HRM is highly prioritized (R = -0.019, R² = 0.0004, p = 1.1E-46). The relationship between employee satisfaction with ergonomic practices and sustainable HRM in employee retention was also weakly positive (R = 0.369, R2 = 0.14, p = 1.9E-09), meaning that sustainable HRM practices may slightly enhance retention by improving ergonomics. Keywords: correlation; employee; hospitality; hrm; human; industry; management; practices; resource; sector; sustainability
• A Literature Review on Knowledge Management: Integrating Technology, Culture and Sustainability by Aarti Deshpande (2025) - Additionally, it does not broadly address how KM practices can be adapted to the swiftly evolving technological landscape or the specific role of emerging technologies like AI in enhancing KM processes. Despite significant progress in KM research, gaps remain in understanding its application across different contexts. Keywords: innovation; knowledge; knowledge management; management; practices; research; study; vol
• Determination of Continuous Deterioration Level due to Changing Demand Rates in Inventory by Quazzafi Rabbani (2024) - If chosen wisely, inventory management could have numerous advantages for the retailer. This analysis facilitates the identification of crucial factors that influence decisions regarding inventory management and enables the optimisation of strategies for controlling inventory. Keywords: demand; inventory; management

• Optimizing Integrated Circuit Applications with Digital IIR Filtering Architectures by Bujjibabu P (2024) - There are numerous ways to implement IIR filters, including the Direct Form-I(DF-I), Direct Form-II(DF-II), Cascade, and Parallel Forms. Keywords: MATLAB System Generator, IIR filter, Direct Form-I, Direct form-II, Cascade (Direct Form-I/ Direct form-II, FPGA. Keywords: cascade; direct; fig; filter; form; iir; power
• A Thorough Examination of Harmonic Mitigation Techniques Through a Comparative Study of the UVT and PWM Methods within Power Systems by Nisha Babulal Lodha (2024) - 18-09-2024 Abstract: Introduction: To mitigate the harmonic disturbances caused by non-linear loads, the selection of active power filters has emerged as a means to enhance filter efficiency and address numerous issues associated with traditional passive filters. Active power filters serve to alleviate issues related to harmonics Keywords: control; current; filter; harmonic; modulation; power; pulse; shunt; voltage
• Interactive Stakeholder Dynamics in Affordable Housing Projects: A Non Linear Analysis by Mukesh Kumar Ruhela (2024) - 2. Methodology The evaluation of Public Housing Policy execution is under the purview of public project management. Rationale of ‘housing policy (PMAY) implementation process’ evaluation Source: Author All of these external and internal variables tend to drive players in public housing implementation to make specific compromises or decisions, resulting in a diversion or deduction from the central government's core policy. Keywords: analysis; development; figure; government; housing; implementation; india; pmay; policy; power; role; stakeholders
• Effect of Green Logistics on Designing of Single Bit Cache Memory Architecture by Apeksha Garg (2024) - Single Bit CSRAMC CTDFSA Architecture, Single Bit CSRAMC CDFSA Architecture, Single Bit CSRAMC VDFSA Architecture, LPRT stands for low power reduction technique, STT stands for sleep transistor technique, FST stands for forced stack technique, and SST stands for sleep stack technology. Single Bit CSRAMC VDFSA Architecture 13.16 81.5 30 12.5 2. Keywords: analysis; architecture; bit; circuit; csramc; dfsa; high; low; memory; mode; power; sense
• Resource Management in NOMA-based Wireless Communication using Hybrid Transit Search Archimedes Algorithm by Prasheel Thakre (2024) - The paper offers the comprehensive framework for advancing resource allocation for next-gen wireless communication. Keywords: Non-Orthogonal Multiple Access (NOMA), Next-gen wireless communication, Transit Search Archimedes, Hybrid Optimization, Resource allocation. Keywords: algorithm; allocation; communication; hybrid; noma; power; resource
• Analysis of Energy Efficient Differential Fault Tolerant Adders with Minimized Nonlinearities by Sarada Musala (2024) - The performance of proposed full adder designs has been comparedwithexisting designs in terms of power, delay and power-delay product (PDP). Fig 8,9 gives the fault free and faulty of proposed full adder with TG and Fig 10,11 gives the fault free and faulty of proposed full adder with PTL. Keywords: adder; bar; carry; design; differential; fault; power; signal; sum
• Superior Asymmetrical PWM AC Chopper Fed Capacitor Run Induction Motor Drive using Evaporation Based Water Cycle Algorithm by Murali Narayanamurthy (2025) - The application of water cycle algorithm to portfolio selection. Water cycle algorithm for optimal overcurrent relays coordination in electric power systems. Keywords: algorithm; cycle; harmonic; induction; power; technique; water
• Power Dominator Equitable Coloring for some Standard Graphs by G. Navamani (2025) - Set 𝑀1 contains 𝑚 vertices, while 𝑀2 contains 𝑛 number of vertices. Case 1: 𝑛 is even Let 𝐶2𝑘, 𝑘 ≥ 2 be an even cycle with the vertices 𝑎1, 𝑎2, … , 𝑎2𝑘, 𝑘 ≥ 2 and let 𝑎1𝑎2, 𝑎2𝑎3, … 𝑎2𝑘−1𝑎2𝑘, 𝑎2𝑘𝑎1 be the edges of 𝐶2𝑘. We assign color 1 to the vertices with the odd indices, i.e., to the vertices 𝑎2𝑗+1, 0 ≤ 𝑗 ≤ ⌊(2𝑘 − 1)/2⌋ and color 2 to the vertices with the even indices, i.e., to the vertices 𝑎2𝑗, 1 ≤ 𝑗 ≤ ⌊(2𝑘)/2⌋. Each vertex 𝑎𝑖, 1 ≤ 𝑖 ≤ 𝑛 power dominates all the Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 Keywords: graph 𝐺; power; |𝐶𝑗||
• Design of a High speed Low Low-Power Latched Comparator for Medical Implants by Sharmila Vallem (2025) - DTDLC Recommended comparator Power utilization (nW) Pre- Layout 31.45 59.87 31.29 Post - Layout 34.76 67.28 32.97 Delay (ns) Pre- Layout 38.64 42.54 31.86 Post - Layout 42.76 49.44 36.54 Area 3.63μm X 4.1μm 3.7μm X 4.2μm 3.6μm X 4.12μm Figure 17: Layout of proposed comparator As technological advances shrinks and fabrication complexity increases, it is essential to replicate comparators across different process corners. Latch comparators have gained increased popularity over static comparators within low-power medical applications. Keywords: adc; analysis; circuits; comparator; delay; devices; figure; ieee; input; kickback; noise; power; tail; transistor; voltage
• Enhancing Performance through Geometry and Structure Optimization in Thermoelectric Systems by N. Jagadesh Babu, B.Rajesh kumar (2025) - [20] Samson, Shittu., Guiqiang, Li., Xudong, Zhao., Xiaoli, Ma. (2021). [22] Samson, Shittu., Guiqiang, Li., Xudong, Zhao., Xudong, Zhao., Xiaoli, Ma. (2020). Keywords: case; design; doi; efficiency; generator; geometry; leg; optimization; output; power; teg; thermoelectric
• Optimization of Rice Bran Protein Extraction: Green Approaches using Deep Eutectic Solvents and Microwave-Assisted Extraction Techniques by Hari Kimsanto (2025) - Notably, Ramlee et al (2024) explored optimum conditions for maximizing protein extraction using choline chloride-glycerol DES and obtained conditions at 80°C, 3 h, and 1:5 rice bran to DES ratio yielded the highest protein recovery at 24,42% [10]. This study investigates the optimization of protein extraction from defatted rice bran (DRB) using DES combined with MAE. Keywords: acid; analysis; bran; chcl; des; extraction; food; microwave; power; protein; recovery; rice; rice bran; solvent; urea
• Comparative Analysis of 3-2 Adder Compressor for High¬¬-Speed Applications by C. Venkataiah (2025) - Conventional field effect of metal-oxide-semiconductor For many years, transistors have served as the cornerstone of digital circuit design because they provide a reliable and affordable means of carrying out logic operations. Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 640 https://internationalpubls.com S = Sum + Carry << 1 1.2 Challenges in Various Transistor Technologies 1.2.1 MOSFETs: Traditional MOSFETs have been fundamental in digital circuit design, but they confront considerable hurdles as technology advances to smaller nodes. Keywords: adder; analysis; carry; delay; design; finfet; pdp; power; sum; technology; voltage
• Design and Optimization of Reversible Quaternary Scalable Multiplexers and De-multiplexers by M. Chennakesavulu (2025) - Quaternary reversible circuits, which use four levels of logic instead of the usual two, are becoming popular because they can be more energy-efficient. Proposed quaternary Reversible Circuits A scalable 4×1 reversible multiplexer is used to create quaternary bidirectional 16×1 and n×1 multiplexers. Keywords: circuits; gates; logic; mux; power; quantum; quaternary; vol
• Optimized High Speed Design of Arithmetic BCD Block Utilizing Complementary MOS Process by T. Jayachandra Prasad (2025) - The suggested adder, for instance, yields a PDP of 23.798 fJ for 4-digit operands, whereas other efforts yield 41.364 fJ, 31.137 fJ, 32.376 fJ, 49.059 fJ, and 49.882 fJ. Keywords: — BCD arithmetic units, Complementary MOS, CLA (Carry Look-ahead Adder) 1. BCD arithmetic units provide accurate decimal calculations with four-bit codes [9], [11]. Keywords: adder; analysis; arithmetic; bcd; bit; cla; decimal; digit; power; unit; vol
• Beyond the Sacred and Profane: The Social Impact of Female Portrayals in Indian Mythology by Roop Kanwal (2025) - This paper explores the portrayal of women in these narratives through a feminist lens, examining how these depictions reinforce or challenge societal expectations of women in India. Women hold pivotal roles within these narratives, appearing as goddesses, warriors, nurturers, temptresses, and wise matriarchs. Keywords: agency; feminist; gender; mythology; norms; power; roles; women
• Power and Energy Efficient Techniques for Full Adder – Implementation, Comparison and Analysis in 45 Nm Technology by S. Govindarajulu (2025) - 2. Existing Techniques for Full adder design in Literature: A Critical Review Full adder circuits are now much better at saving power. Fig.12, 13,14,15,16, and 17 show the input and output waveforms of proposed GDI1, GDI2, GDI3, GDI4, Mux based, Hybrid Full adders. TABLE II performance comparison of full adder designs Technique Power (nW) Keywords: adder; design; gdi; hybrid; logic; power
• An Analysis of Laser Welding Technology used for Joining Dissimilar Metals, Computational Parameters and Challenges by Jeevan S. Patil (2024) - All concept of laser welding depends on the key-hole phenomena. 1.1 Area of Focus A survey in 1992 revealed that about 20% laser machine setup were utilized in laser welding. Keywords: alloy; aluminium; analysis; beam; copper; laser; material; metal; penetration; power; reflectivity; steel; surface; technology; welding
• Efficacy of Different Yogic Practices on Total Body Balance Among the Working Men of North Tripura by Meenakshi Saini (2025) - Results The mean and standard deviation of working men of North Tripura pertaining to total body balance in restorative yoga training group under various experimental settings are as follows: Table- 1 A DESCRIPTIVE INVESTIGATION OF THE TOTAL BODY BALANCE OF WORKING MEN FOLLOWING RESTORATIVE YOGA TRAINING Variables Experimental conditions Mean S.D Minimum Maximum Range Total Body Balance Pre test 6.67 2.41 1 10 9 Post test 5.73 1.99 2 10 8 The mean and standard deviation of working men of North Tripura pertaining to total body balance in power yoga training group under various experimental settings are as follows: Table- 2 A DESCRIPTIVE INVESTIGATION OF THE TOTAL BODY BALANCE OF WORKING MEN FOLLOWING POWER YOGA TRAINING. Hence, there were significant effects on all the four groups namely; restorative yoga training group, power yoga training group, combine (restorative + power yoga) training group and control group in relation to Balance. Keywords: balance; body; group; men; power; training; yoga
• Iterative Dadda Tree Architecture for High-Performance Booth and Wallace Multipliers by Swamy Deepika (2025) - The hybrid Wallace–Booth–Dadda multiplier architecture integrates the strengths of Booth encoding, Wallace Tree reduction, and Dadda Tree compression to achieve a balanced trade- off between speed and hardware efficiency. This hybrid pipeline harnesses Booth encoding’s partial product reduction, Wallace Tree’s high-speed parallel Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 Keywords: area; booth; dadda; design; encoding; hybrid; multiplier; number; power; products; reduction; speed; tree; wallace

• Optimizing Weight Functions for Enhanced Image Segmentation Using Normalized Cut by Subhashree Abinash (2024) - This paper presents a novel framework to optimize the weight functions for Ncut in the context of image segmentation, aiming to bridge the gap between theoretical robustness and practical applicability. These hybrid approaches aim to leverage the strengths of various descriptors and similarity measures, offering a more flexible and effective framework for addressing the challenges of image segmentation [8,12,18]. Keywords: analysis; color; cut; functions; image; segmentation; texture; weight
• Multilingual Handwritten Recognition using DNN by Thenarasi V (2024) - Word level script identification allows the document to contain more than one script and the script of every word is identified. Obaidullah et al., in [13] have proposed a method for handwritten script identification based on structural, directional and texture based features. Keywords: analysis; document; features; identification; image; level; line; recognition; script; vol
• Bi-level feature Classification Approach in Privacy Preserving Cloud Network for High-Performance Content-based Image retrieval Mechanism by J.Sheeba Selvapattu (2024) - Here𝜑1is the number of images that were accurately recovered out of �̂� images. The high-level component descriptors from encrypted images were detected by the cloud server and are stored in a storage of the cloud network. Keywords: blocks; cloud; encryption; extraction; feature; hlc; image; lbp; level; retrieval; vol
• Performance of Logarithmic Magnitude of Centre-Element-Based Steganography over OFDM constituted Wireless Communication Channel by Mukund D. Maid (2024) - Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 3 (2025) 268 https://internationalpubls.com Figure 10 - Secret image at SNR=10 Figure 11 – Secret image at SNR=8 Figure 12 – Secret image at SNR=6 Figure 13 – Secret image at SNR=4 Table 4 lists the values of MSE, PSNR, and Ssim for cover and secret images (considered in Figure 10-13). Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 3 (2025) 264 https://internationalpubls.com Figure 3 – The LM-CEB-S Embedding scheme Figure 4 – Cover image, secret image, and stego image (IndoorCVPR_09 dataset). Keywords: embedding; figure; host; image; index; lsb; psnr; secret; steganography; stego; value; vol
• Border Detection of Skin Cancer Cells over Fractal Dimension Analysis and Image Processing Techniques by P.Tharaniya (2024) - A reliable approach for identifying the borders of skin cancer cells can be created by fusing fractal dimension analysis with image processing methods. [8] uses of fractal dimension analysis to the study of pathological disorders is the main topic of this article, which includes a case study specifically on skin cancer. Keywords: analysis; area; cancer; cell; counting; dimension; fractal; image; method; skin
• Improved Medical Image Enhancement by Optimized Features and Parameters using Convolution with Grey Wolves Approach by Monika (2025) - Available: https://doi.org/10.1002/ima.22851 [16] S. Pradeep and P. Nirmaladevi, A Review on Speckle Noise Reduction Techniques in Ultrasound Medical images based on Spatial Domain, Transform Domain and CNN Methods, IOP Conference Series: Materials Science and Engineering, vol. 1055, 2021. Our experiments, conducted across various types of ultrasound images, demonstrate that the proposed method not only significantly outperforms traditional denoising techniques like Kuan-NLM, Anisotropic Diffusion, and Wavelet-based methods in terms of PSNR, SSIM, NCC, and UQI metrics but also maintains a competitive processing time. Keywords: filter; image; imaging; medical; methods; nlm; noise; optimization; processing; reduction; speckle; ultrasound
• Advances in Deep Learning Image Inpainting Architectures for the Effective Reconstruction of Damaged Regions- A Systematic Review by Suma N (2025) - Deep learning-based image inpainting Several researchers developed image inpainting schemes that are derived from, CNN, GAN, Transformer, U-Net, Attention, and texture-structure models. There are two challenges in image inpainting application from a practical perspective. Keywords: approach; attention; gan; image; inpainting; region; schemes; structure; texture; transformer
• A Novel Method for Identifying Retinal Blood Vessels using Fractional Fuzzy Local Binary Patterns by Vetri K (2025) - In this paper, four different fuzzy membership functions used to finding edge image by fuzzy local binary pattern. Consolidate all the pixel values and get better edge image of the input image. Keywords: binary; function; fuzzy; image; membership; method; pixel
• Composite Lempel - Ziv - Welch and Huffman Coding for Medical Image Compression by B. Kanchanadevi, P. R. Tamilselvi (2025) - [10] A. P Manimekalai N. A. Vasanthi, ‘Hybrid Lempel-Ziv-Welch and clipped histogram equalization based medical image compression’, Cluster Computing Springer, http://doi.org/10.1000/s10586-018-1761-7. [11] Bindu Puthentharayil Vikraman, Jabeena Afthab,” Effective image compression using hybrid DCT and hybrid capsule auto encoder for brain MR images” Journal of Visual Communication and Image Representation, Volume 104, October 2024 Keywords: algorithm; analysis; compression; dictionary; function; huffman; image; lzw; method; ratio; value; vol
• From Tradition to Transformation: A Deep Dive into the Evolution of Sikh Langar and its Impact on Image Building in present times. by Ashwinder Kour (2025) - Guru Nanak Dev, the founder of Sikhism, the youngest religion of the world initiated the practice of community kitchen within the fold of the new faith with the vision of treating everyone equally. Motivated by Guru Nanak's zeal for aiding the impoverished and bridging societal divides, the practice of community kitchen thrived alongside the growth and development of Sikhism; a practice that persists even today. Keywords: community; guru; image; kitchen; langar; nanak; practice; sikhism; sikhs; singh

• A study on Socio-Demographic perspective of Digital Financial Inclusion in Rural Odisha by Nirmala Chandra Pattnayak (2024) - Keywords: digital financial inclusion, demographic factors, formal financial sector, aspects of digital financial services, multiple regression 1. To determine important social and demographic factors significantly influencing adoption of digital financial services (ii) To understand the strength and direction of relationship between select socio-demographic factors and various aspects of digital financial inclusion (iii) To identify the socio-demographic factors which significantly predict levels of awareness, comfort, availability, present use and frequency of use of digital financial services and to ascertain relative importance of each of the factors. Keywords: age; digital; education; factors; family; income; services; study
• Implementing Statistical Distribution for Control Chart Design in Higher Education Institutions by A. Loganatahan (2024) - This paper explores the use of statistical control charts for effective monitoring and management of these processes. The use of statistical control charts facilitates proactive management by detecting issues before they escalate. Keywords: analysis; charts; control; education; process; quality; vol
• Building Inclusive Early Childhood Education Through the Role of Parents and Communities by Wawan Sofwanudin (2025) - Additionally, the cultural and socio-economic diversity in Indonesia creates complex dynamics, where best practices in parent and community involvement in one region may not be as effective in another (Purwani & Arvianti, 2020; Wijoyo et al., 2020). For example, the Ministry of Education and Culture of the Republic of Indonesia has established several guidelines that encourage parent and community involvement in early childhood education, including through the Parenting Education program and the Quality ECE Movement (Kemendikbud, 2022). Keywords: children; communities; community; community involvement; ece; education; engagement; families; involvement; parents; policies; support
• A Study of Perceived Ease of Use, Perceived Usefulness and Self-Efficacy to use Artificial Intelligence Among Accounting Students in Malaysia by Noral Hidayah Alwi (2025) - Such efforts attempt to equip students with the technical savviness needed to engage with AI technology as well as the analytical mindset necessary to adjust to the changes within the landscape of accounting (Thaariq et al., 2024). Likewise, this finding is in line with the work of others that highlight the importance of student perceptions and beliefs, such as self-efficacy, in helping engender the successful adoption of AI technologies (Al- Gahtani et al., 2024; Drew, 2019). Keywords: accounting; adoption; education; malaysia; self; students; technology; use
• Current Status of Physical Education Quality Vo Van Kiet High School Songhinh District, Phu Yen Province, Vietnam by Nguyen Xuan Hung, Nguyen Trong Duy (2025) - The results have selected 03 criteria for evaluating the quality of physical education work, including: 1) Assessment through the final exam scores in physical education; 2) Assessment through the number of students participating in extracurricular sports activities; 3) Received: 12-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract: Using conventional research methods, the study evaluates the current status of the quality of physical education at Vo Van Kiet High School in Song Hinh District, Phu Yen Province, by assessing the factors influencing physical education and the academic results in physical education, [2] [4] [13]. Keywords: education; high; kiet; physical; school; students
• Investor’s Financial Education in Terms of Literacy and Financial Awareness Essential by Priyanka Jain, Vipin Kumar (2025) - This paper explores the significance of fostering financial literacy and awareness among investors, emphasizing how well-informed investors are better equipped to navigate the complexities of financial markets, minimize risks, and maximize returns. Financial literacy encompasses the understanding of financial concepts such as budgeting, saving, investing, and managing risks, while financial awareness involves staying updated on market trends, investment options, and the economic environment. Keywords: analysis; awareness; education; investment; literacy; market
• Students’ Perspective of Factors Influencing University Graduate Unemployment: A Case Study of Vietnam by Nguyen Thuy Van (2025) - Although this study tries to reach out multi factors influencing in graduate unemployment’s, however, there are some factors that certainly affect university graduate unemployment that are not considered in this study, such as: (i) the productive structure of Vietnam - for example, the greater presence of hi- tech sectors may require greater qualification of the workforce; and (ii) macroeconomic aspects, since the income-elasticity of employment is certainly quite high. This paper examines students' perspectives on factors influencing graduate unemployment, considering national context, strategic policies, the higher education system, graduate outcomes, the labor market, and local culture. Keywords: analysis; education; factors; graduates; inequality; job; market; mismatch; recruitment; skills; students; study; unemployment; university; vietnam
• Navigating the Opportunities and Challenges for Inclusive and Equitable Quality Education: A Systematic Review by Preeti Sapna (2025) - Teachers and teacher education: Limitations and possibilities of attaining SDG4 in South Africa. It asserts that students at all levels of education should attain awareness, positive attitude, skills, values, etc. to ensure SD and contribute in the creation of sustainable future in terms of quality education, gender equality, good health & well-being, economic viability and environmental integrity (Mongkhonvanit et al., 2021). Keywords: challenges; development; education; goal; opportunities; quality; sdg4; students; studies; study; teachers
• Integrating Emotional Intelligence into Adolescent Healthcare Policies: A Pathway to Sustainable Mental Health and Well-Being by Payal Jain (2025) - Mental health is particularly crucial during adolescence, as it is a period when many mental health disorders emerge. For instance, the National Mental Health Policy of 2014 and the School Health Program of 2020 have introduced frameworks that prioritize mental health alongside physical health, recognizing the interconnectedness of these domains (Sivagurunathan et al., 2023). Keywords: adolescents; analysis; education; focus; health; india; intelligence; mental; policies; resilience
• Effect of Emotional Intelligence Management on Quality of Work Life of Employees in Higher Education Institutions by Nidhi Singh (2025) - • Employees with higher emotional intelligence tend to perform better, which enhances their job satisfaction and contributes to a higher quality of work life. Employees with higher emotional intelligence tend to be more successful, with their job satisfaction and quality of work life being significantly influenced by their emotional intelligence levels. Keywords: education; employees; intelligence; life; quality; satisfaction; work
• Post COVID-19 Impact on Physical Education and Students’ Fitness Levels by Karin Gardner (2025) - Physical activity and young people: Global recommendations on physical activity for health. It also explored the evolution of physical fitness while accounting for physical activity levels. Keywords: activity; analysis; covid-19; education; fitness; health; levels; pandemic; physical; post; students
• The Socio-Cultural Impact of Arya Samaj Movement in 18th to 20th Century’s Punjab by Bharat Bhushan (2025) - The region also witnessed the emergence of several social reform movements, including the Arya Samaj movement. The Arya Samaj movement was rooted in the ideals of the Vedic period, and its founder, Swami Dayananda Saraswati, sought to revive the Vedic values and practices that he believed had been lost over time. Keywords: arya; education; movement; samaj
• The Role of Critical Pedagogy in Addressing Issues of Inequality and Sustainability by Geetika (2025) - 05-02-2025 Abstract: Critical pedagogy serves as a transformative educational philosophy that empowers individuals to challenge and deconstruct societal structures contributing to inequality and unsustainability. This review examines the theoretical foundations and practical applications of critical pedagogy in fostering social justice and ecological awareness. Keywords: education; inequality; issues; justice; pedagogy; students; sustainability
• The Role of Gender Equality in Advancing Sustainable Development: Intersections of Equity and Diversity in Building Inclusive Societies. by Pratichi Dash (2025) - Additionally, gender policies must adopt an intersectional approach, addressing diverse socio-economic factors to create inclusive and effective sustainability solutions. Pratichi Dash1, Susanta Kumar Mishra2 1 School of Management, Centurion University of Technology and Management, Jatni, Bhubaneswar-752050, Odisha, India 2 School of Management, Centurion University of Technology and Management, Jatni, Bhubaneswar-752050, Odisha, India Corresponding Author’s email address: mishrasusant23*gmail.com Article History: Received: 12-12-2024 Revised: 25-01-2025 Accepted: 05-02-2025 Abstract: This study examines the essential function of gender equality in advancing sustainable development, emphasising the interrelation of equity, diversity, and inclusion. Keywords: development; economic; education; equality; gender; impact; policies; women; world
• An Analysis of the Impact of Parental Education on the Health and Diet of Children in Uttarakhand, India by Jigarpreet kaur (2025) - The impact of parental education on child health and development: An Indian perspective. No. ICMASD (2025) 1632 https://internationalpubls.com and child health: Evidence from India. Keywords: children; education; food; health; india; kids; parents; uttarakhand
• Constructivist Approaches to Teaching: Promoting Sustainability and Critical Thinking among Students by Priyanka (2025) - By integrating sustainability education with constructivist pedagogies, this approach enables learners to develop systems thinking, ethical reasoning, and problem- solving capabilities that are crucial for addressing global sustainability challenges. This paper offers actionable recommendations for educators, policymakers, and curriculum designers, advocating for a systemic integration of constructivist strategies in sustainability education. Keywords: constructivist; education; global; studies; sustainability; teacher
• An Analysis of 72 PhD Theses from the Central University of Technology over A 5-Year Period Yields Notable Insights by Arthur James Swart (2025) - Doctoral research falls squarely into this category, as postgraduate students are required to make a scientific contribution to knowledge within their individual fields of expertise. It has been noted that doctoral research can be a daunting prospect. Keywords: analysis; education; file; number; pages; phd; research; students; study; technology; theses; university
• Transforming University Sport and Health Policies towards Sustainable Development: A Comprehensive Approach to Policy Integration, Community Engagement, and Public Administration by Gurdeep Kaur (2025) - A strategic search was conducted across multiple databases, prioritizing studies that examine the intersection of university sports policies, sustainable development, and educational leadership. Integrating sustainability in university sports policies: An Indian perspective. Keywords: development; education; health; policies; policy; sports; universities; university
• Women in Educational Leadership: Breaking Barriers Towards a Sustainable Society by Gagandeep Singh (2025) - Emerging themes suggest that transformational leadership, intersectionality, institutional culture, and digital leadership will shape the future of women in education leadership. This review synthesizes interdisciplinary perspectives, leadership theories, and empirical research to critically examine the complex challenges that women encounter in educational leadership. Keywords: analysis; education; gender; leadership; policy; studies; women
• Integrating Sustainable Development Goals (SDGs) into Physical Education: Policy and Pedagogical Innovations for Health and Sports Equity by Surjit Kaur (2025) - This review delves into the convergence of SDGs and physical education, emphasizing the sector’s potential to promote health and sports equity across communities. By thoroughly examining innovative policy frameworks, inclusive teaching strategies, and robust governance models, the paper argues that physical education is not only an educational tool but also a powerful agent for societal transformation. Keywords: education; equity; health; inclusive; policy; sdg; sdgs; sports
• Gender Sensitization in Curriculum Design: Psychological Pathways to Equity and Sustainability by Amarjit Singh (2025) - The synthesis emphasized the integration of interdisciplinary perspectives from gender studies, psychology, and pedagogy to form a holistic understanding of the impact of gender sensitization on educational equity. The paper argues for an interdisciplinary approach that combines insights from psychology, gender studies, and pedagogy to create curricula that empower all students and contribute to a more inclusive and sustainable educational system. Keywords: curriculum; education; gender; review; sensitization; students; studies
• Policy, Governance, and Pedagogical Strategies for Integrating Sports into Sustainable Development: A Framework for Equity, Diversity, and Gender Inclusivity by Mohinder Pal Kaur (2025) - Countries should align sports policies with SDGs, focusing on gender equality (SDG 5) and reduced inequalities (SDG 10), ensuring broad access to sports education. ➢ Gap Identification: The review identified gaps in how sports education policies can support SDG goals, particularly in gender balance and social equity. Keywords: development; education; equity; gender; policy; sports; sports education
• Progressive Education for Achieving Sustainable Development Goals: The Impact of NEP 2020 on Policy, Governance, and Pedagogic Innovation by Harmeet Kaur (2025) - Recent studies have aligned critical pedagogy with sustainability education, emphasizing that learners must be empowered to question systems of oppression and envision a more sustainable and just future. Piaget’s work is fundamental to theories of learning that advocate for developmentally appropriate and contextualized education, which is essential for making sustainability education both accessible and meaningful to diverse student populations. Keywords: development; education; nep; policy; research; sdgs; studies; sustainability
• The National Innovation and Startup Policy as a Vehicle for Sustainable Development by Manjeet Kaur (2025) - • Institutional policy must include knowledge exchange through collaborations and partnership. Guidelines of the policy will be helpful in bringing uniformity in terms of intellectual property rights ownership management, technology licensing and institutional startup policy in all HEI’s across India and emphasize that entrepreneurship is all about creating financially successful business. Keywords: development; education; entrepreneurship; india; innovation; policy; startup
• Unveiling the patterns of Fintech Services Adoption: A Study in the Rural Area of Tirupati by T. Deva Prasad (2024) - This study employs a descriptive research approach to explore the patterns of Fintech service adoption within rural populations in Tirupati. The research model aims to investigate the correlation between Fintech service adoption and rural residents' characteristics. Keywords: association; concerns; education; employment; fintech; income; lack; level; mean; respondents; services; sig; usage

• Efficiency of Runge-Kutta-Fehlberg Method in Resolving Uncertainty: a Fuzzy Approach to Delay Differential Equations by Ch. Subba Reddy (2024) - [14] A. Khastan, J. J. Nieto, and R. Rodr´ıguez-L´opez, “Fuzzy delay differential equations under generalized differentiability,” Information Sciences, vol. 275, 145–167, 2014. [10] took on the challenging task of satisfying the 𝑛th requirement of fuzzy differential conditions using the variational iteration method but faced difficulties in the process. Keywords: delay; differential; equations; kutta; method; runge; vol
• Numerical Solution of One-Dimensional Advection-Diffusion Equation using Radial Basis Function Method of Lines by Shrikrishna Dasari (2024) - [4] A. Kumar, D. K. Jaiswal, N. Kumar, Analytical solutions of one-dimensional advection–diffusion equation with variable coefficients in a finite domain, Journal of Earth System Science, 118 (2009), 539-549. [5] A. R. Appadu, Numerical solution of the 1D advection-diffusion equation using standard and nonstandard finite difference schemes, Journal of Applied Mathematics, 2013 (2013), 734374. Keywords: advection; diffusion; equation; method; solution
• The Development of IV-VIKOR Method Under Hesitant Fuzzy Sets in MCDM by Rafi Raza (2024) - [12] Chang, T.-H., Fuzzy VIKOR method: A case study of the hospital service evaluation in Taiwan. Hesitant fuzzy decision matrix (vi) Alternatives 𝐶1 𝐶2 𝐶3 𝐶4 𝐴 (0.3, 0.4) (0.1, 0.2, 0.4) (0.1, 0.2, 0.3,0.5) (0.4, 0.5, 0.6) 𝐵 (0.1, 0.2, 0.3) (0.1, 0.2, 0.3) (0.2, 0.3) (0.2, 0.3) 𝐶 (0.1, 0.2, 0.3) (0.2, 0.4, 0.7) (0.3, 0.4, 0.5) (0.1, 0.8) 𝐷 (0.3, 0.4) (0.4, 0.5, 0.6, 0.7) (0.4, 0.5, 0.6) (0.5, 0.6, 0.7, 0.8) IV-VIKOR method from extended VIKOR method under HFS. Keywords: decision; fuzzy; method
• Topology Optimization using Nonlinear Finite Element Analysis by Kushwaha, Om Hari Naryan (2023) - 08-10-2023 Abstract: Topology optimization is a structural-mechanical investigation that structures optimization function values in an optimization iteration. Topology optimization with nonlinear static behavior is difficult due to several design considerations. Keywords: analysis; density; design; element; finite; material; method; nonlinear; optimization; structure; topology; topology optimization
• A Simplified Approach to Solving Balanced Generalized Quadratic Fuzzy Transportation Problems by M.Venkatachalapathy (2025) - With an emphasis on trapezoidal fuzzy numbers, Venkatachalapathy M. and A. Edward Samuel [25] presented an alternate approach to fuzzy transportation problems utilizing ranking functions. [13] enhanced the Vogel’s Approximation Method for fuzzy transportation problems. Keywords: l l; method; numbers; problem; transportation
• Applying the TOPSIS Method to Assess Public Transportation Performance: A Case Study of Telangana Public Transport Service by M.Tirumala Devi (2025) - One of the industries that has recently experienced growth is public transportation. A guide for sustainable urban and territorial development, published in the year 2015 by the United Nations Human Settlements Program, includes recommendations for promoting public transportation. Keywords: bus; city; criteria; criterion; hyderabad; method; metro; public; telangana; transportation
• A Numerical Approach for Solving Fuzzy Differential Equation Using Enhanced Euler’s Methods Based on Contra Harmonic Mean and Centroidal Mean by A. Hari Ganesh (2025) - This section will cover the completion of the Euler, Modified Euler and Improved Euler approaches based on Contra Harmonic Mean and Centroidal Mean for solving the first order differential equations with fuzzy initial conditions. In order to solve fuzzy initial value problems based on Contra Harmonic Mean and Centroidal Mean, this research proposed three enhanced numerical techniques of Euler, Modified Euler, and Improved Euler. Keywords: euler; mean; method
• A Method for Solving Non-Linear Initial Value Problems by Adomian Decomposition by Sathish Marakonda, Y. Rajashekhar Reddy (2025) - al, Recent Modification of Adomian Decomposition Method for Initial Value Problem in Ordinary Differential Equations, American Journal of Computational Mathematics, Vol.2 No.3, 2012, 228-234. [18] P. V. Ramana, B. K. Raghu Prasad, Modified Adomian Decomposition Method for Van der Pol equations, International Journal of Non-Linear Mechanics, 65, 2014, 121-132. Keywords: adm; adomian; decomposition; method; solution
• An Analytical Approaches to Solve a Lung Infection Model by J. Jothibasu (2025) - [ 5 4 ] 𝑠 = 10000.0 t + 3159069 𝑡2 − 766424340 𝑡3 + 11966339 𝑡4 − 63343485 𝑡5 1.0 + 3188.12 t − 7549275 𝑡2 + 118368350 𝑡3 − 60856609310 𝑡4 [ 5 4 ] 𝑣 = 200.0 t + 8157.77 𝑡2 + 85211.1 𝑡3 − 38241998 𝑡4 + 24576395900 𝑡5 1.0 − 3.28112 t + 1919.01 𝑡2 − 1820575 𝑡3 + 139253041 𝑡4 [ 5 4 ] 𝑖 = 200.0 t − 601369 𝑡2 + 245732 𝑡3 − 2856058 𝑡4 + 1995223 𝑡5 1.0 − 4006.31 t + 1532090 𝑡2 − 265963 𝑡3 + 14665463 𝑡4 (17) × 𝑡𝑝 ∞ 𝑝=0 = 200 + 199893.0 t + 96987740.90 𝑡2 + 29631320500.0 𝑡3 (14) + 5986223935000.0 𝑡4 + 660172409800000.0 𝑡5 + ⋯ 𝑟(𝑡) = ∑ 𝑅(𝑝) × 𝑡𝑝 ∞ 𝑝=0 = 20 + 62.40000000 t + 32976.72900 𝑡2 + 10666672.90 𝑡3 + 2444103941.0 𝑡4 + 395002792000.0 𝑡5 + ⋯ 𝑚(𝑡) = ∑ 𝑀(𝑝) × 𝑡𝑝 ∞ 𝑝=0 = 200 + 79995.0 t + 14834386.26 𝑡2 + 1369308719.0 𝑡3 −57680894920.0 𝑡4 − 50389449540000.0 𝑡5 + ⋯ To enhance the exactness of DTM equation (14) solution series, we applied a 𝑡 − Laplace transform, later replace 𝑠 by 1/𝑡 and implement Pade approximation to the transformed series. Keywords: differential; method
• Generalised Four Step Adams-Moulton Second Derivative Method for the Solution Stiff Ordinary Differential Equations by Buba M. T Hambagda (2025) - = [ 𝑒−𝑥 −𝑒−𝑥 ] Result: Table 1: Errors in New block method and in [1] with Exact solution: Example 1 x Error in [1] Error in New block method 0 0 0 0.100000000000000 1.88737914186277e-15 0 0.200000000000000 2.10942374678780e-15 0 0.300000000000000 8.88178419700125e-16 1.11022302462516e-16 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 965 https://internationalpubls.com 0.400000000000000 1.55431223447522e-15 1.11022302462516e-16 0.500000000000000 9.99200722162641e-16 1.11022302462516e-16 0.600000000000000 1.22124532708767e-15 0 0.700000000000000 1.49880108324396e-15 0 0.800000000000000 9.99200722162641e-16 0 0.900000000000000 4.99600361081320e-16 0 1 8.32667268468867e-16 1.11022302462516e-16 Figure 2: Showing the New block method with Exact solutions: Example 1 Table 2: Comparison of error in the new block method with the exact solution in Example 2 x Keywords: block; differential; method
• Hybrid Nano Fluid: An Overview on Preparation Methods, Properties, and its Application by Priyanshu Mahanti, Shailesh Singh Thakur (2025) - In contrast to conventional either traditional NFs or conduction of heat fluids, the fluid produced by the synergistic combination of these components has improved thermal, rheological, and stability properties (Singh et.al 2024). 01-03-2025 Abstract: A novel type of In order to create hybrid nanofluids, two different nanoparticles are added to a conventional heat transfer fluid. Keywords: base; conductivity; et.al; heat; hybrid; method; nanofluids; nanoparticles; stability; step; thermal
• The Numerical Solutions of Partial Differential Equations using Two-Three-Dimensions Differential Transform Method by Rohit Nagargoje, Avinash Khambayat (2025) - − 1)(𝑘 − 𝛼 + 1)𝑈(𝑘 − 𝛼 + 1, ℎ) − 𝑘 𝛼=0 𝛿(𝑘 − 1) 𝑠𝑖𝑛 ( ℎ𝜋 2 ) ℎ! −∑∑( 1 𝛽 )( 𝑠𝑖𝑛 ( (ℎ − 𝛽 − 𝑠)𝜋 2 ) (ℎ − 𝛽)! Theorem 3: If 𝑧(𝑝1, 𝑝2… , 𝑝𝑚) = 𝑝1 ℎ1 , 𝑝2 ℎ2…𝑝𝑚 ℎ𝑚 then, 𝑍(𝑘1, 𝑘2… , 𝑘𝑚) = 𝛿(𝑘1 − ℎ1)𝛿(𝑘2 − ℎ2)…𝛿(𝑘𝑚 − ℎ𝑚) where, 𝛿(𝑘𝑖 − ℎ𝑖) = { 1 0 𝑘𝑖 = ℎ𝑖 𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒 Theorem 4: If 𝑧(𝑝1, 𝑝2… , 𝑝𝑚) = 𝑝1 ℎ1 , 𝑝2 ℎ2…sin(𝑎𝑥𝑖 + 𝑏)…𝑝𝑚 ℎ𝑚 𝑡ℎ𝑒𝑛 𝑍(𝑘1, 𝑘2… , 𝑘𝑚) = 𝛿(𝑘1 − 𝑘2) Keywords: differential; equations; method; 𝑈(𝑘
• Study of Numerical Solutions of Stiff Differential Equations Using Rk Method and Adaptive Stepsize Control Method by Nazneen Parveen, Najmuddin Ahmad (2025) - The solution to stiff differential conditions includes a component in the form of exp(-At), where A is a significant positive constant. This approach utilizes different step sizes in every cycle to get a foreordained degree of accuracy. Keywords: conditions; differential; equations; kutta; method; numerical; runge; size; step; u2(t; value
• Comparitive Study of Transportation Problem and Fuzzy Transportation Problem by Reuben’s Ranking System by T. Anithakumari, B. Venkateswarlu (2025) - [3],were introduced applying the extension principleto solving fuzzy transportation problems S.T.Liuet al. [12]. Were explained A new approach for solving fuzzy transportation problems using generalized trapezoidal fuzzy numbers A. Kaur et al. Keywords: method; problem; ranking; transportation; 𝐴̅′
• The Nonlinear Schrödinger Equation Derived from the higher order Kaup–Kupershmidt (KK) Equation Using Multiple Scales Method by Murat Koparan (2025) - 30-09-2025 Abstract: The mathematical models of problems that arise in many branches of science are nonlinear equations of evolution (NLEE). For this reason, nonlinear equations of evolution have served as a language in formulating many engineering and scientific problems. Keywords: analysis; equation; evolution; kdv; method; nls; nonlinear; order; solution
• Comparison Between Three Algorithms to Study Their Overall Convergence by Farouk Benoumelaz (2025) - This algorithm is added to the methods and algorithms for solving an integer linear programming problems to provide new solutions and possibilities for those following this topic, showing them the importance of working and thinking about creating other new algorithms that shorten the effort and time to obtain the optimal solution to integer linear programming problems. Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 3 (2025) 1136 https://internationalpubls.com The new technique and branching algorithm is a combination of the cutting planes method and the branching and knotting method, and it works like its predecessors, it involves solving a successive series of linear programming problems to obtain the solution to the integert programming problem. Keywords: integer; method; problem; programming
• Exponential B-Spline Method for Second Order Singularly Perturbed Boundary Value Problem with Negative Shift by Biswajit Kaushik (2024) - − 𝓊′(ȶ − 𝛿) − 𝓊(ȶ) = 0 , with the boundary conditions 𝓊(0) − 𝑒ȶ𝓊′(ȶ − 𝛿) − ȶ𝓊(ȶ) Keywords: differential; exponential; method
• Application of the G’/G Expansion Method for Solving New Form of Nonlinear Schrödinger Equation in Bi-Isotropic Fiber by Ourahmoun Abbes (2024) - We delve into the analysis and discussion of the family of solutions of the nonlinear Schrödinger equation, describing the pulse propagation in nonlinear bi-isotropic media, with a novel approach to constitutive equations. This clarification aids in understanding the propagation of light with two modes of propagation: a right circular polarized wave (RCP) and a left circular polarized wave (LCP), each having two different wave vectors in nonlinear bi-isotropic media. Keywords: equation; method; nonlinear; solutions; 𝐺’/𝐺

• Inconspicuous Discovery of Coronavirus Infected People Based SATL of Star Graphs by V. Sudhakar (2024) - This work analyzes the data of covid-19 affected people in a particular place through graph labeling that labels the vertices with edges via SATL graph labeling techniques. This study was made assuming the necessity of finding the direct contact tracking using graph labeling in positive Covid-19 patients. Keywords: + 𝑟; graph; 𝑞 +
• The Structure of Generalized Cayley Graph When \(Cay(G,S) = P_2\)  X \(P_2\) and \(P_2\) X \(C_3\) by Ayat A. Neamah (2024) - [3] S. Mohammadi, Some ψeneralizations of Cayley graph and Intersection graph, Ph.D Thesis, Ferdowsi University of Mashhad, Mashhad, Iran, 2020. The structure of generalized Cayley graph when Cay (G,S)= K_(n,n,n,n). Keywords: graph; 𝐶𝑎𝑦(𝐺
• Evaluating Star Vertex Cochromatic Number in Prism, Sunlet and Derived Graphs by R. Sabitha (2024) - 4.2: Star Cochromatic Number of Line Graph of Sunlet Graphs Theorem 4.2.1: The Star Chromatic Number of Line Graph of Sunlet Graph 𝑞[𝐿(𝑆𝑚)] for 𝑚 ≥ 4 is 𝑞[𝑌𝑚] = ⌈ 𝑚 2 ⌉ Proof: Let 𝑆𝑚 be sunlet graph with 2m vertices and 3m edges and 𝑉[𝑆𝑚] = {𝑣𝑛: 1 ≤ 𝑛 ≤ 𝑚} ∪ {𝑢𝑛: 1 ≤ 𝑛 ≤ 𝑚} and [𝐿(𝑆𝑚)] be line graph of prism graph with 3m vertices where 𝑉[𝐿(𝑆𝑚)] = {𝑣𝑛: 1 ≤ 𝑛 ≤ 𝑚} ∪ {𝑢𝑛: 1 ≤ 𝑛 ≤ 𝑚}. = {𝑣𝑛: 1 ≤ 𝑛 ≤ 𝑚} ∪ {𝑢𝑛: 1 ≤ 𝑛 ≤ 𝑚} and [𝐿(𝑌𝑚)] be line graph of prism graph with 3m vertices and 6m edges where 𝑉[𝐿(𝑌𝑚)] Keywords: graph
• The Carmichael Function in Graph Theory by Nagham A. Hameed (2024) - = { 𝑝𝛼 (𝑝 − 1) , 𝑖𝑓 𝑝 ≥ 3 𝑜𝑟 𝛼 ≤ 2 2𝛼−2 , 𝑖𝑓 𝑝 = 2 , 𝑎𝑛𝑑 𝛼 ≥ 3 We called the graph G (V,E) by defining on the solid and tight arithmetic function called Carmichael Function Graph 𝜆(𝐺)[7] .The The components of Function Carmichael Graph (G) of order 10. 1 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 Keywords: function; graph; number
• On Decomposing Any Graph G into VDT Graphs by M. Sivasankari (2024) - Graph G for VDT graph decomposition Step 1 Determine the rooted tree T1 for G from any arbitrary vertex using BFS algorithm. Introduction In the literature of graph theory, graph decomposition is one interesting problem where any graph is decomposed into subgraphs Keywords: graph; step; vdt
• Applications of Chromatic Numbers in Traffic Control Problems by Shakera Tanveer (2024) - In order to determine the minimum number of phases needed for the traffic light to allow all cars to pass through the intersection during a specific phase of the light and those in lanes where the light is green to pass through the intersection safely, this article uses three examples of traffic lanes to demonstrate how chromatic number can be applied effectively to traffic management problems. Vehicles access the junction of these two streets via a number of traffic lanes. Keywords: graph; lanes; number; traffic
• Some Results on Non-Isolated Resolving Number by P. Jeya Bala Chitra (2024) - [13] P. Jeya Bala chitra, S. Arumugam, Resolving Sets without Isolated Vertices, Procedia Computer Science, 74 (2015) 38-42. Keywords: Resolution set, metric dimensions, non-isolated resolution set, number. Keywords: graph; set
• Odd-Even Congruence Labeling of Some Graphs by Rituraj (2024) - For all detailed survey of graph labeling, we refer [2]. [2] Gallian, J. A., (2019), A dynamic survey of graph labeling, The electronic journal of combinatories,#DS6, pp. Keywords: graph
• Some Reverse Topological Indices of Comet and Double Comet Graphs by John Rafael M. Antalan (2024) - Qspr analysis of some novel drugs used in blood cancer treatment via degree based topological indices and regression models. Topological indices are invariants of a graph that have predictive power for the chemical properties of a chemical compound. Keywords: branching; degree; graph; index; indices; reverse; vertex
• Prime Labeling of Bull Graph by M. Ganeshan (2024) - Prime labeling of switching of vertex 𝑣4 in Bull graph Case-5. In this paper we show that bull graph admits Prime labeling in the context of variety graph operations namely duplication of vertex, fusion of vertices and Switching in Bull graph. Keywords: graph
• A Reduction Analysis of the Weiner Index on Predicting the Boiling Point of Hydrocarbons Using Graph Technique by R. Shankar (2024) - Objectives: Inspired by Wiener’s work on topological indices, we create a novel power formula based on graph eccentricity to predict boiling points. 31-11-2024 Abstract: Introduction: This study investigates the link between graph eccentricity and boiling points for nonanes and decanes, demonstrating graph theory's ability to predict the physical characteristics of organic compounds. Keywords: boiling; chemical; eccentricity; graph; index; point; wiener
• Inverse Independent Outer Connected Domination Number of Few Classes of Graphs by G Menon (2024) - By the definition of Sierpinski graphs, there will be ′k′ copies of S(n, k) incorporated inside S(n + 1, k) and the unit graphs will always be complete graphs and hence we take kn−1 number of vertices from each copy. The Outer Connectedness property : After the removal of one vertex from a complete graph with k vertices , the graph will still be a connected graph . Keywords: graph; vertices
• Principal Intersection Graph of Commutative Rings by Lamine Ngom (2025) - Keywords: Principal intersection graph, Principal ideal domain, Ore domain, Bezout domain, Connected graph, Complete graph, Hamiltonian graph. The degree of a vertex I of graph Gc(R)) which denoted by deg(I) is the number of edges incident on I. • Keywords: gc(r; graph; principal
• Visualizing and Proving the Collatz Conjecture: Ananta-Graph Approach by Vidyashree H R (2025) - A consistent pattern was identified in the iteration of sequence numbers, where the digital root follows a cyclic order. Negative number Positive number using 2’s complement -3 253 -17 239 -85 171 -101 155 -255 1 The number of iterations/steps taken by the integers are different from each other to reach 1. Keywords: collatz; collatz sequence; conjecture; graph; number; sequence
• Fast Generation of K-Secluded Vertex Sets for Fuzzy Graph Partitioning Subject to Forbidden Induced Subgraphs by V. Vijayalakshmi (2025) - In the analysis of secluded graph structures, a tough research question under investigation is that of k- secluded trees, by Donkers et al. (2023). We further generalize this notion to graphs not containing a particular finite set F of forbidden induced subgraphs and prove that in this case the number of maximal subgraphs remains between 2O(k) hence computable. Keywords: constraints; graph; partitioning; problem; sets; subgraphs; vertex; vertices
• Fault-Tolerant Strong Metric Dimension of Rooted Product Graphs by H. Prathab (2025) - In this paper, we investigate the fault-tolerant strong metric dimension of rooted product graphs, a class of graphs derived by attaching multiple copies of a rooted graph to each vertex of a base graph. We provide exact values for specific families of rooted product graphs and demonstrate how the fault-tolerant property varies with the structure of the root and base graphs. Keywords: dimension; graph; vertices
• Efficient Edge Chromatic Number Calculation Using Python: by C. Paul Shyni (2025) - Edge chromatic number of a graph is the minimum number of colors required for proper edge coloring of the graph and is denoted by χ′(G). 5. GEC algorithm using Edge Adjacency matrix In order to find edge chromatic number of a graph using edge adjacency matrix, a step-by-step procedure of GEC algorithm is described below. Keywords: algorithm; coloring; edge; graph; number; python
• Graph - Based Innovations in Cryptographic Security by Slashi Leel (2025) - Methods: This study utilizes graph theory to develop cryptographic techniques by encoding messages using graph complements, adjacency matrices, and adjoint matrices. Conclusions: This study demonstrates the potential of graph theory in cryptography, using graph complements, adjacency matrices, and disjoint graphs to enhance Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 7s (2025) 745 https://internationalpubls.com encryption and decryption. Keywords: adjacency; graph; matrix; value
• Some more Extensions on Product Cordial Graphs by Varsha Rathi (2025) - Gallian [4] introduced a dynamic survey of graph labeling. The definition of a graph labeling, It explains that graph labeling involves giving the vertices, edges, or maybe both numeric values, based on the specific demands of the problem or application. Keywords: graph; labeling; product; sunlet; vertices
• Binomial Labeling of Intersection Mirror Lagoon Step Graph and Intersection Opposite Lagoon Step Graph with Python Implementation by J. Vasanthi (2025) - No. 8s (2025) 415 https://internationalpubls.com Figure 2: IM L7S3 Definition 3: Intersection Opposite Lagoon Step graph IO LnS m obtained by attaching Lagoon step graph with Opposite direction of Lagoon step graph consists of vertices 2n+4m-4 vertices and edges 2n+4m-3(with n ≥ 3 must be an odd and m = (n-1)/2, m ≥ 1) described below Figure 3: Theorem: Intersection Mirror Lagoon step graph IM Ln Sm is a Binomial graph. Keywords: graph
• Some Results on Odd-Even Congruence Labeling of Graphs by G. Thamizhendhi, et al. (2024) - Odd-even congruence labeling is an allocation of odd integers to vertices and even integers to edges in addition to congruence graph labeling. Assignment of natural numbers to vertices and/or edges is referred as graph labeling. Keywords: congruence; graph; labeling
• Product of Semi – Lattices of Certain Graphs by Chudamani. R, Mudda Ramesh, Raghupatruni Sunil Kumar, V. B. V. N. Prasad, (2024) - Likewise, graph theory hypothesis is an awesome jungle gym for the investigation of confirmation procedure in Discrete Mathematics and its outcomes have applications in numerous space of the registering, social and innate sciences. Suppose L = L_1 X L_2, where at least one of L_1 and L_2 is not an integral meet-semilattice, say L_1 is not an integral (join) meet -semilattice. Keywords: graph; l_1; meet; γ(l
• A Study on Emergence of Clutch Graphs from Cycle Graphs: A Comprehensive Analysis by Thamizhendhi G, Tamilselvi V, (2024) - A Hamiltonian cycle can be traversed as c1 → p1 → q1 → c2 → p2 → q2 → c3 → p3 → q3 → c4→ p4 → q4 → c5 → p5 → q5 → c6 → p6 → q6 → c1 Conclusion This paper introduces the concept of clutch graphs from cycle graphs. Keywords: Clutch graph, Cycle graph, Spanning tree, Bipartite, Hamiltonian. Keywords: clutch; cycle; graph; vertices
• Exploring Stolarsky-3 Mean Cordial Labeling Properties in Graph Classes with a Python Module by C. Muthulakshmi Sasikala, A.Akil Nivetha (2025) - Stolarsky-3 Mean Cordial Labeling is Same as Mean Cordial Labeling, it does not work when (n = 3, 6, 9,…) etc (Table 1). Conclusion Different patterns emerge when different graph architectures are analyzed for compatibility with Mean Cordial Labeling, Stolarsky-3 Mean Labeling, and Stolarsky-3 Mean Cordial Labeling. Keywords: graph; labeling; mean; stolarsky-3; vertices
• Odd Hamming Distance Labeling of Some Path Related Graphs by E.Esakkiammal, K.Thirusangu, S.Seethalakshmi (2025) - Input: One point union of Path graph 𝑃𝑚 𝑛. 𝑉 ← {𝑣𝑖𝑗 /1 ≤ 𝑖 ≤ 𝑛, 0 ≤ 𝑗 ≤ 𝑚; 𝑣10 = 𝑣20 = 𝑣30 = ⋯ = 𝑣𝑛0} 𝑣0 ← 0; 𝑣0 = 𝑣10 = 𝑣20 = 𝑣30 = ⋯ = 𝑣𝑛0 for 𝑗 = 1 𝑡𝑜 𝑚 do 𝑣1𝑗 ← { 1 if 𝑗 ≡ 1(𝑚𝑜𝑑4) 6 if 𝑗 ≡ 2(𝑚𝑜𝑑4) 2 if 𝑗 ≡ 3(𝑚𝑜𝑑4) 5 if 𝑗 ≡ 0(𝑚𝑜𝑑4) ; 𝑣2𝑗 ← { 7 if 𝑗 ≡ 1(𝑚𝑜𝑑4) 3 if 𝑗 ≡ 2(𝑚𝑜𝑑4) 4 if 𝑗 ≡ 3(𝑚𝑜𝑑4) 0 if 𝑗 ≡ 0(𝑚𝑜𝑑4) ; end for for 𝑖 = 3 𝑡𝑜 𝑛 do 𝑣𝑖1 ← 22𝑖−1 − 1; 𝑣𝑖2 ← 22𝑛−2 − 1 e = ℎ𝑑([𝑓(𝑣i1)]2, [𝑓(𝑣𝑖2)]2) 1 1 1 1 1 1 1 For 1 ≤ 𝑖 ≤ 𝑛, 5 ≤ 𝑗 ≤ 𝑚 𝑓∗(𝑣𝑖𝑗𝑣𝑖(𝑗+1)) = ℎ𝑑([𝑓(𝑣𝑖𝑗)]2, [𝑓(𝑣𝑖(𝑗+1)))]2 ) Keywords: distance; graph; hamming
• On Irregular Coloring of Middle Graph of Snake Graphs by G. Jothilakshmi. (2025) - = 2𝑛 + 2 , n≥2 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 426 https://internationalpubls.com Figure 1: Middle graph of Triangular snake graph M(T2) In this paper we obtain the irregular chromatic number of middle graph of certain snake graphs of snake graph families. Keywords: coloring; graph; snake
• A Study on the Differential Value of Total Graph by D. Muralidharan (2025) - In this paper, we study the differential value of total graph for some standard graphs and its bounds. Keywords: total graph, domination number Mathematics Subject Classification 05C38, 05C69 1. Keywords: graph
• On Edge Prime Index of a Graph by Janani R (2024) - Illustration As an illustration of above theorem, edge prime index of , K4 ⊙ K1 𝑎𝑛𝑑 , K5 ⊙ K1 is given in Figure – 3, 4 respectively. 24-04-2024 Abstract: Relatively Prime Edge labeling extends the notion of prime labeling by considering edges. Keywords: edge; graph
• A General Characteristic Equation for Eigen Values and Energy of Cycle Graph by Aadarsh Chaudhary, Kamesh Kumar (2025) - Even with its significance, figuring out cycle graph eigenvalues and energy has proven to be a difficult undertaking. Keywords: Characteristic Equation, Eigen value, Cycle graph, Structural properties. Keywords: cycle; graph; matrix
• Theorems for Near Stable Points on a Near Banach Space Furnished with Graph by Savitha. S (2024) - Keywords: Cauchy Sequence, near fixed Point, Banach hyperspace, iterated function, graph, subgraph, Wˆ -sequence. In traditional fixed-point theory, the Banach contraction principle [2] guarantees the existence and uniqueness of fixed points for contraction mappings in complete metric spaces. Keywords: banach; contraction; graph; k(s; point; sequence
• Exploring the Essential Spectrum Extensions of Weyl's Theorem and Their Applications in Machine Learning by S. Usha, D.Senthilkumar (2025) - # Compute the adjacency matrix of the graph adj_matrix = nx.to_numpy_array(graph) # Apply spectral clustering to the original adjacency matrix sc = SpectralClustering(n_clusters=n_clusters, affinity='precomputed', random_state=42) labels_original = sc.fit_predict(adj_matrix) # No. 1 (2025) 562 https://internationalpubls.com # Apply spectral clustering to the perturbed adjacency matrix labels_perturbed = sc.fit_predict(adj_matrix_perturbed) # Keywords: clustering; graph; spectral; theorem
• Strong Regular Domination in Litact Graphs by G. Shankarajyothi (2024) - Definition-2.4: A ‘dominating set D’ of a ‘graph G’ is known as ‘strong regular dominating set’ of G if (i) for each point 𝑦𝜖𝑉(𝐺) Keywords: litact graph, strong domination number, regular domination number, strong regular domination number. Keywords: graph; set; 𝑉(𝐺
• Every Tree is an Integral Sum Graph by S. Muthukkumar (2024) - Trees are Integral sum graphs In this section, we prove our main result that all trees are integral sum graphs. Keywords: Integral sum graphs; sum graphs; integral sum number; 1. Keywords: graph; sum
• Topological Cordial Labeling of some Graphs by S. Selestin Lina (2025) - + 1, 𝑤ℎ𝑒𝑟𝑒 𝑣𝑖+1 = 𝑣𝑖} ∪ { 𝑢𝑖𝑢𝑖+1/1 ≤ 𝑖 ≤ 𝑖 + 1, 𝑤ℎ𝑒𝑟𝑒 𝑢𝑖+1 = 𝑢𝑖} ∪ {𝑤𝑖𝑤𝑖+1/1 ≤ 𝑖 ≤ 𝑖 If the induced function f^* on E(G) is defined by f^* (uv)={■(1 if f(u)∩f(v) is not an empty set and singleton set@0 otherwise )┤ for every uv∈E(G) such that |e_f (0)-e_f (1)|≤1 where e_f (0)= number of edges labeled with 0 and〖 e〗 _f (1)= number of edges labeled with 1 then f is a topological cordial labeling and a graph which admits such a labeling is called topological cordial graph. Keywords: graph; 𝐸(𝐺
• Distance Pair Antimagic Labeling on Cycle Related Graphs by M. Bala, T. Saratha Devi (2024) - 1074-133X Vol 31 No. 8s (2024) 1157 https://internationalpubls.com 𝐸(𝑆𝑛) = {𝑣𝑖𝑢𝑖: 1 ≤ 𝑖 ≤ 𝑛} ∪ {𝑣𝑖𝑣𝑖+1: 1 ≤ 𝑖 ≤ 𝑛 − 1} ∪ {𝑣1𝑣𝑛} be the edge set of 𝑆𝑛. Define 𝑓: 𝑉(𝑆𝑛) ⟶ {±1,±2,⋯ , ±𝑛} by 𝑓(𝑣𝑖) = {𝑣𝑖: 1 ≤ 𝑖 ≤ 𝑛} ∪ {𝑢𝑖: 1 ≤ 𝑖 ≤ 𝑛 − 1} be the vertex set and 𝐸(𝑇𝑛) = {𝑣𝑖𝑣𝑖+1: 1 ≤ 𝑖 ≤ 𝑛 − 1} ∪ {𝑢𝑖𝑣𝑖 , 𝑢𝑖𝑣𝑖+1: 1 ≤ 𝑖 ≤ 𝑛 − 1} be the edge set of 𝑇𝑛. Consider following two cases. Keywords: graph
• Results on Grundy Number of Fan Graph Families by K. Annathurai, P. Periasamy, V. Sankar Raj (2024) - Keywords: Grundy chromatic number, Fan graph, line graph, middle graph, Total graph. We begin by presenting the existing results concerning the grundy chromatic number of fan graph, line graph of fan graph, central graph of fan graph, middle graph of fan graph and total graph of fan graph. Keywords: graph
• Prime Spectrum Graph of C-Lattices by Lakpa Sherpa (2024) - In 1988, I. Beck proved that how graph theory can be applied to the study of commutative rings. For more information on graph theory, the reader may refer ([11], [14]). Keywords: graph; lattice; γs(σ(£
• Computing Topological Indices of Certain Networks by Vidya S Umadi (2024) - Central to this endeavor is the study of molecular graphs and their characterization through topological indices, which serve as powerful descriptors of molecular topology. 15-05-2024 Abstract: In mathematical chemistry, topological indices are molecular descriptors that are calculated on the molecular graph of a chemical compound. Keywords: edge; graph; indices; vol; ∣𝜀2,2∣; ∣𝜀2,3∣
• Chromatic Number of Split Graph of Cycle Cn by G.Prabhakaran (2025) - Algorithm Finding the chromatic number of split graph of cycle cn Step:1 Let spl(Cn ) be the split graph of cycle graph cn Step:2 Label the vertices of spl (Cn ) by using the known algorithm which is a prime graph whose vertices are 𝑃1,𝑃2,….. 26-09-2025 Abstract: In this paper we have discuss about how to find chromatic number of split graph and discussed about how to assign the colours. Keywords: colour; graph; number; vertices
• Bipartite through Prescribed Median and Antimedian of a Commutative Ring with Respect to an Ideal by Raghupatruni Sunil Kumar (2024) - Building graphs from commutative rings was started by Ivan Beck through his work on zero-divisor charts and from that point a few graphs developments were made by a few creators. A club of a graph is a maximal complete sub and the quantity of vertices in the biggest inner circle of graph G, signified by ω(G), is known as the faction number of G. Clearly χ(G) ≥ ω(G) for general graph G. Assume that S is a commutative semigroup with nothing. Keywords: graph; median; ring; set
• Innovations in Transport Optimization: Topological Graphical Methodologies and Computational Strategies by E. Kungumaraj (2024) - To tackle a transportation problem effectively, key decision parameters like supply, demand, Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 4s (2024) 136 https://internationalpubls.com and unit transportation costs must be defined with precision. [2] introduced an optimal solution for transportation problems (TP) in 1996. Keywords: cost; demand; graph; return; topology; transportation
• Optimizing Graph Theory Algorithms for Social Network Analysis by Susanta Kumar Sahoo (2024) - Challenges in Social Network Analysis To discover patterns, relationships, and structures within social networks, social network analysis (SNA) uses intricate data sets and sophisticated computational techniques [11]. This paper aims to contribute to ongoing efforts to optimize graph theory algorithms for social network analysis by providing a comprehensive overview of the current state of research and practical applications. Keywords: algorithms; analysis; graph; networks; set; sna; vertices
• Secure - Vertex - Edge Domination of Certain Named Special Graphs by C. Ruby Sharmila (2024) - This thorough analysis seeks to explore the multifaceted nature of vertex dominations in graph theory, illuminating several topics like dominance insets, different kinds of dominance, typical minimal dominance, theoretical findings, results, and applications of dominance in graphs[8].Several results on vertex-edge and edge-vertex properties in graphs were put forth in 2007 by J. R. Lewis The pioneering poll results by Hedetniemi and Cockayne caused a spike in the amount of studies being done on graph domination. Keywords: domination; edges; graph; number; set; vertex; vertex edge; vertices

• GQF-PSO Algorithm for Temp Control Loop in Process Control by Jotiram Deshmukh (2024) - The suggested Quantum Gaussian Firefly PSO algorithm is used to optimize the estimated initial parameters (Kp, Ki, and Kd) for the PID controller. 4.Improve time domain specifications using Gaussian quantum Firefly PSO Algorithm. Keywords: algorithm; control; firefly; gaussian; loop; optimization; pid; pso; quantum; temperature
• Optimal Strategy Formulation for Tic-Tac-Toe Using Minimax Algorithm for Interactive Gaming by Megha Chakole (2024) - No. 2s (2024) 490 https://internationalpubls.com Figure 1 Illustration of Minimax algorithm to develop Tic Tac Toe game Implementation steps for designing Tic Tac Toe GUI game are as follows and flow diagram is depicted by figure 2 Step 1: Launch the game and configure the participants, GUI, and game board. Keywords: Python, Tic Tac Toe, Tkinter, graphical user interface (GUI), single-player, multiplayer, mode selection, game board initialization, player moves, win condition checks, draw condition checks, game restart options. Keywords: algorithm; board; game; player; python; tac; tic; toe
• Cross-Entropy Assisted Optimization Technique for High Utility Itemset Mining from the Transactional Database by V. Jeevika Tharini (2024) - Unlike traditional approaches, this method optimizes the search for high utility itemsets dynamically, adjusting the threshold as a post-processing step. The algorithm utilizes transactions with the highest utility as initial populations for particles, enhancing efficiency in discovering high utility itemsets. Keywords: algorithm; bfa; hceg; huim; itemsets; mining; utility

• Expert Consensus on Mental Health Resilience Domains of a Module for Training of Trainers’ Programme: Delphi Method Study by Zulaini binti Husin (2025) - Introduction The World health organization (WHO) defined mental health as a state of well-being in which the individual realizes his or her own abilities, can cope with the normal stresses of life, can work productively and fruitfully, and is able to make a contribution to his or her community (Christodoulou et al., 2011). Mental health includes subjective well-being, perceived self-efficacy, autonomy, competence, intergenerational dependence, and self-actualization of one’s intellectual and emotional potential, among others (Christodoulou et al., 2011). Keywords: consensus; delphi; domains; expert; health; panels; resilience; round; self; study; subdomains; training
• Solutions to Improve the Quality of Training Program for Bachelor’s Degree in Sports Training at BAC Ninh Sport University by Nguyen Van Hoa, Nguyen Huu Hung (2025) - Coordinating units: Faculty of Sports Training, Training Department, specialized departments within the university, Sports Training Centers, Sports Centers and high-performance sports clubs across Northern provinces. MINISTRY OF CULTURE, SPORTS AND TOURISM Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 274 https://internationalpubls.com Solutions to Improve the Quality of Training Program for Bachelor’s Degree in Sports Training at BAC Ninh Sport University Dr. Nguyen Van Hoa and Dr. Nguyen Keywords: program; quality; solutions; sports; sports training; training
• The Impact of Circuit Training among Volleyball and Basketball Female Players of Jammu North Region by Manu Singh Pawar (2025) - The introduction of circuit training into sports training programs has shown encouraging results in this regard. Keywords: Circuit training, physical components, speed, agility, basketball, volleyball, female athletes. Keywords: jump; players; training; volleyball
• Role of HR Practices and Organizational Culture in Employee Job Satisfaction with Special Reference to 5-Star Hotels in Delhi-NCR by Divya (2025) - The findings of this study show that HR practices (Training, Work Environment and Rewards and Recognitions) and Organizational Culture have a significant positive impact on employees job satisfaction. H3: There is a significant positive relationship between improved work environment and employee job satisfaction. Keywords: analysis; culture; employee; environment; job; practices; rewards; satisfaction; training; work
• A Literature Review on Employee Retention, Retention Policies and Factors Affecting Employee Retention in Star-Categorised Hotels. An Indian Perspective by Pankaj (2025) - 05-02-2025 Abstract: Employee retention is a company's ability to keep its employees while reducing turnover. Keywords: Employee retention, Hotels, Human Resource Management, Policies, Job Satisfaction. Keywords: development; employee; hotel; industry; retention; staff; study; training
• Role of Jammu and Kashmir Women’s Development Cooperation Towards Upliftement of Women: A Sociological Study in Three Districts of Kashmir Valley. by Sonika Devi (2025) - For this reason, this institution's primary goal was to identify and develop women entrepreneurs and to organize awareness campaigns that would allow women to be recognized for engaging in activities that generate revenue. The study showed that Community and family background contributed to the success of prospective entrepreneurs, formal Education has not been a positive factor in entrepreneurship development, providing infrastructure Facilities alone will not promote entrepreneurship development and the Association of Small Scale Industries has to play an important role in identification and development of entrepreneurs, a strong Policy to support the entrepreneurs is called upon, as the economy demands the growth of women Entrepreneurs., the education and other factors like the background for entrepreneurship is not a criteria For entrepreneurial growth, risk bearing attitude and innovation prove to be more encouraging towards growth. Mayers (1981), conducted a research study to analyse the effect of economic pressure on theEmployment of married women. Keywords: beneficiaries; corporation; development; empowerment; entrepreneurs; study; training; women
• Efficacy of Different Endurance Training on Blood Leucocyte Count Among the District Level Football Players of Tripura by Prasenjit Debnath (2025) - Pre-test and Post- test were conducted for each of the four groups prior and after completion of the experimental program where applicable Administration of endurance training Firstly, 90 minutes of Fartlek session is given to the subjects of group a six days a week for 12 weeks. Effects of endurance training on resting and post- exercise cardiac autonomic control. Keywords: blood; count; district; endurance; leucocyte; players; training
• Relationship Between Training Effectiveness and Employee Career Advancement in Star Category Hotels of Pondicherry by Saumya Singh (2025) - Training effectiveness refers to how well training programs achieve their intended outcomes, such as enhancing knowledge, improving skills, and changing behaviors aligned with organizational goals (Al Kandari & Hasagewa, 2017). Abstract: Employee training is a critical factor influencing skill development and career progression in the hospitality industry. Keywords: advancement; career; effectiveness; employee; hospitality; hotels; training

• Using Multi-Scale Features, Hierarchical and Contour Covid Bodies Can Be Extracted from Bioinformatics Images by R Ashok Kumar, Shaheda Akthar (2025) - Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 1307 https://internationalpubls.com Using Multi-Scale Features, Hierarchical and Contour Covid Bodies Can Be Extracted from Bioinformatics Images R Ashok Kumar1, Shaheda Akthar2 1 Research Scholar, Dept. of CSE, Acharya Nagarjuna University, Guntur, AP & Lecturer in Computer Science, SCIM Government College (A), Tanuku, West Godavari, AP, India 2 Dr. Shaheda Akthar, Lecturer in Computer Science, Government College for Women (A), Guntur & Research Supervisor, Dept. of CSE, Acharya Nagarjuna University, Guntur, AP Article History: Received: 12-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract: The primary objective of processing and analyzing medical covid images is to effectively extract covid body features from objects in the images, and a crucial part of this process is segmenting the bodies in the images. input: ((u_1 ) ̂(h))((u2) (̂h)), example binary mask picture, and medical covid image. Keywords: body; cnn; contour; covid; covid-19; extraction; feature; images; medical; multi; neural; picture; pixel; resolution; scale; segmentation

• Applications of Fuzzy Soft Digraphs in Several Domains by Honnegowda C K (2024) - IV.APPLICATION To manage vulnerabilities, the surmised capabilities in intuitionistic fuzzy delicate set are subsets of intuitionistic fuzzy sets. The enrollment esteem and the non-participation esteem are used to describe the defined group of intuitionistic fuzzy delicate set. Keywords: 0,0; 0.0,0.0; analysis; applications; decision; development; project; sets; 𝝭 𝝭
• A Study on Digital Transformation and Sustainable Economic Development: Insights From Tamil Nadu by Noorjahan Sherfudeen (2025) - 1. Introduction Today, digital transformation is transforming economies at a rapid pace and introducing innovation, efficiency, and sustainable economic development. This literature review explores the relationship between digital transformation and sustainable economic development, drawing insights from existing research and focusing on the moderating role of sustainability as highlighted in Jianhua Pei'sPei's study, Approaches Toward Building the Digital Enterprise and Sustainable Economic Development: Keywords: commerce; development; digital; digitalization; economic; marketing; nadu; sustainability; tamil; transformation
• Multidimensional Analysis of Psychological Well-Being and Its Impact on Academic Achievement in Adolescents: A Cross-Cultural Study by María José Flores Tena, Virgilio García Aparicio (2025) - This recognition highlights the critical need to study and promote psychological well- being during this formative stage of life. In conclusion, this study contributes significantly to the understanding of psychological well- being in adolescence by identifying key influencing factors and providing relevant information for designing targeted interventions. Keywords: adolescents; development; differences; growth; life; relationships; ryff; self
• Pastoral Assistance for Youth with Gadget and Internet Users in the Seventh Day Adventist Church by Jhoni Lagun Siang (2025) - One of these changes is influenced by the use of gadgets and the internet, therefore church pastoral assistance is needed to prevent and resolve adolescent problems related to the media. Based on the problems above, church pastoral assistance is needed in order to guide, care for, nurture, protect, and help youth (Engel, 2007). Keywords: assistance; care; church; development; function; gadgets; information; internet; pastoral; teenagers; use; youth
• Forensic Science and Sustainable Development: Bridging Justice and Environmental Responsibility by Aishwarya Kanwar (2025) - -01-2025 Abstract: Forensic science, traditionally focused on criminal investigation and justice, plays an evolving role in addressing modern global challenges such as environmental sustainability. The intersection of forensic science with environmental responsibility ensures accountability while fostering sustainable practices. Keywords: analysis; challenges; development; evidence; justice; laboratories; practices; science
• An Analytical Study on the Tourists' Perspectives of Socio-Economic Impacts and Challenges of Border Tourism in Punjab by Shabnampreet Kaur Gill (2025) - Findings reveal that border tourism in Punjab significantly influences culture, economy, and infrastructure and cultivates cultural exchange, ensures the preservation of traditions, helps improve employment, and provides regional development. In conclusion, whereas border tourism in Punjab holds great socio-economic benefits, improvement of existing challenges through better facility and management strategies could enhance the tourism experience and further spur local economic growth. Keywords: analysis; areas; border; border tourism; challenges; destinations; development; impact; punjab; socio; tourism; tourists
• Diplomacy for Development: Examining India’s Commitment to the 2030 Agenda by Bulbul (2025) - Theoretical Frameworks Linking Diplomacy and Development Theoretical frameworks that link diplomacy and development provide essential insights into how countries, particularly developing ones like India, use diplomatic strategies to achieve national development goals while contributing to global sustainable development. Through active participation in global forums, bilateral engagements, and multilateral initiatives, India is aligning its foreign policy with the SDGs, demonstrating its commitment to global sustainable development while addressing its own socio-economic and environmental challenges. Keywords: agenda; challenges; climate; development; global; india; international; role; sdgs
• Role of Parental Involvement in the Holistic Development of Adolescents by Kiran Bala (2025) - Research and practice in parent involvement: Implications for teacher education. The role of the father in child development (5th ed.). Keywords: adolescents; children; development; family; involvement; journal; parenting; parents; school
• cana-5144 by None (None) - By analysing selected works of English literature through the lens of specific SDGs, this study highlights the profound capacity of literature to foster global citizenship, empathy, and advocacy for sustainable development. While these studies establish the transformative potential of literature, there remains a significant gap in research explicitly linking English literature to the United Nations' Sustainable Development Goals (SDGs). Keywords: analysis; development; english; gender; literature; sdg; sdgs; works
• A Literature Review of Evaluation of Knowledge, Attitude and Practice among Developmental Pediatricians and Parents towards Vision Therapy for Children with Autism Spectrum Disorder. by Sunita Agarwal (2025) - Methods: Literature from 2000 to 2024 was searched for studies and articles related to autism spectrum disorder (ASD), visual development and visual performance in ASD, vision therapy, vision therapy in ASD and referrals for vision therapy by various medical practitioners. As per 2022 World health organization report, prevalence of autism spectrum disorder (ASD) is 1% Keywords: asd; autism; children; development; disorder; eye; motor; movements; pediatricians; spectrum; therapy; vision
• The Role of Panchayat in Achieving Sustainable Development Goals in Rural India: Challenges and Opportunities by Kamlesh Rani (2025) - These institutions play a critical role in implementing government schemes, monitoring local development programs, and ensuring the active participation of marginalized groups, including women and lower-caste communities. They are pivotal in planning and implementing local development programs, such as rural infrastructure, poverty alleviation, health, education, and sanitation, including schemes like MGNREGA. Keywords: challenges; development; governance; india; institutions; panchayats; pris; role; rural; sdgs
• Business Management Practices to Promote Inclusive Economic Growth and Employment by Mrs. Riddhie Priya (2025) - These institutions play a critical role in implementing government schemes, monitoring local development programs, and ensuring the active participation of marginalized groups, including women and lower-caste communities. They are pivotal in planning and implementing local development programs, such as rural infrastructure, poverty alleviation, health, education, and sanitation, including schemes like MGNREGA. Keywords: challenges; development; governance; india; institutions; panchayats; pris; role; rural; sdgs
• A Review of Career Maturity amongst Adolescents by Neetu Handa (2025) - 05-02-2025 Abstract: career maturity is a critical psychological concept that signifies an individual’s preparedness and ability to make well-informed, realistic, and personally suitable career decisions. Career maturity becomes particularly important in adolescence as young individuals start to make significant decisions regarding their education and future career paths. Keywords: adolescents; career; development; journal; maturity; school; students; study; teenagers
• Localizing the SDGs: Challenges and Opportunities for Municipalities in India by Tanveer Kaur, Arief Hussain Ganaie (2025) - Effective monitoring and evaluation mechanisms are essential to understanding how well local SDG initiatives are performing and to make necessary adjustments. Key research questions addressed include the identification of major barriers to SDG localization in Indian municipalities, exploration of existing opportunities for municipalities to drive SDG achievement, and the analysis of case studies where local initiatives have successfully aligned with global goals. Keywords: challenges; development; governance; india; initiatives; municipalities; sdg; sdgs; urban
• Highway Development and Sustainability in Central India: Dual Analysis of Economic and Environmental Aspects by R Sivaramaiah, Honey Gaur (2025) - The framework evaluates each corridor based on: • Economic indicators (NPV, BCR, ERR, Payback) • Environmental indicators (land use change, pollution, biodiversity risk) • Integrated sustainability scores 4.2 Data Collection • Primary Data: o Field surveys on air/noise pollution o Stakeholder consultations (PWD, locals) • Secondary Data: o Detailed Project Reports (DPRs) o MoRTH & CSRDCL highway records o Forest Survey of India (FSI), CPCB data o • Environmental costs—especially forest loss, pollution, and biodiversity impacts—are severe in NH-30 and NH-130CD. Keywords: analysis; assessment; benefit; chhattisgarh; corridor; cost; development; forest; highway; impact; india; nh-130cd; nh-30
• Leveraging Expert Knowledge for Mobile Livestock Care: Combining AHP and Naïve Bayes for Diagnosis, Treatment, and Management by Mohammed Kemal Ahmed (2024) - [10] S. Al-Saqqa, S. Sawalha, and H. Abdelnabi, “Agile software development: Methodologies and trends,” Int. All activities involved in software development such as planning, analysis, design, coding, testing and maintenance are to be aligned to customer needs and satisfaction [3]. Keywords: agile; analysis; development; disease; livestock; process; software; user; vol

• Quantum Computing Algorithms for Nonlinear Optimization Problems by Vishwakarma, Vinod Kumar (2023) - Introduction When applied to nonlinear optimization problems, quantum computing algorithms face a number of significant obstacles [1]. Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 30 No. 4 (2023) 3 https://internationalpubls.com Here are the remaining sections of the document: The second section delves into the current state of affairs and identifies areas that require more research in the field of quantum computing algorithms for nonlinear optimization problems. Keywords: algorithms; analysis; approach; computing; figure; gradient; hqg; optimization; problems; quantum; quantum computing; solution
• Nonlinear Optimization Techniques for Signal Processing by Kloucha, Mohammed Kada (2023) - Nonlinear optimization techniques provide powerful tools for extracting valuable information from signals, enhancing signal quality, and optimizing signal processing systems. This article delves into the applications of nonlinear optimization techniques in signal processing. Keywords: optimization; processing
• Nonlinear Analysis of Biological Systems: From Cells to Ecosystems by Ioannis K. Argyros, Sadek Habani, (2023) - Nonlinear optimization techniques provide powerful tools for extracting valuable information from signals, enhancing signal quality, and optimizing signal processing systems. 3.3 Image and Audio Processing In image and audio processing, nonlinear optimization improves image reconstruction, denoising, and audio source separation, enabling clearer visuals and sound. Keywords: optimization; processing

• The Evaluation Model of School Literacy Programme at the Mover Senior High Schools by Sapta Mupakat Tatar Purba (2025) - The secondary data comprises documentation of school literacy activities or other documentation related to the research issues in the Independent Category Sekolah Penggerak. Interviews with teachers and students show that support from the school has been very helpful in improving student literacy. Keywords: activities; evaluation; implementation; literacy; program; reading; school; skills; slm; slm program; students
• Exploring the Correlation Between Higher-Order Thinking Skills, Reading Strategies, and Reading Literacy Among EFL Students in the Digital 4.0 Era by Luana Sasabone, Nur Jihad Saleh, Nasmilah, Harlina (2025) - Exploring the Correlation Between Higher-Order Thinking Skills, Reading Strategies, and Reading Literacy Among EFL Students in the Digital 4.0 Era Luana Sasabone, Christian University of Indonesia Paulus Nur Jihad Saleh, Nasmilah, Harlina Hasanuddin University Article History: Received: 12-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract: This study aims to explore the correlation between reading strategies, higher-order thinking, and reading literacy of EFL students in this Digital Era 4.0 at UKI Paulus Makassar among English as a Foreign Language (EFL) students in the Digital 4.0 era, with a focus on students in the Accounting program at UKI Paulus Makassar. Therefore, this study aims to explore the correlation between reading strategies, higher-order thinking, and reading literacy of EFL students in this Digital Era 4.0 at UKI Paulus Makassar, particularly to understand how technology can influence both aspects and contribute to enhancing the quality of education in the future. Keywords: comprehension; hots; literacy; order; reading; skills; strategies; students; thinking
• Anxiety, Metacognition, Resilience, and Problem- Solving Skills as A Predictors of Academic Achievement among Secondary School Students by Rajbir Kaur (2025) - 05-02-2025 Abstract: This research explores the roles of anxiety, metacognition, resilience, and problem- solving skills as predictors of academic achievement among secondary school students. A study conducted by Kaur, Nilam, and Kaur (2024) examined the relationships among these variables and their impact on academic achievement among secondary school students in the Amritsar district. Keywords: anxiety; mean; problem; resilience; school students; skills; students
• Assessing the Impact of Food Advertisements on Dietary Choices among University Students by Richa Verma (2025) - Emotional appeal in food advertisements: Impact on food choices. Emotional appeal in food advertisements: Impact on food choices. Keywords: advertisements; choices; et al; food; students; university
• The Role of Self-Perceived Communication in Enhancing Marital Well-Being: A Literature Review by Shikha K S, (2025) - Emotional appeal in food advertisements: Impact on food choices. Emotional appeal in food advertisements: Impact on food choices. Keywords: advertisements; et al; food; students; university
• An Investigating on Attitudes Towards Mathematics and Their Relationship to Achievement among Basic School Students by Maheshwor Pokhrel (2025) - Analysis of mathematics achievement in male and female students (Does the gender make any difference in achievement mathematics? In general, the analysis indicates that there is a significant difference in mathematics achievement between private and public school students, with private school students outperforming their public school. Keywords: achievement; analysis; attitudes; difference; mathematics; public; school; students; study; value
• Reliability and Validity Evaluation of the RAT-43 Psychological Resilience Scale in Chinese Adolescents by Chen Jing Amalia Bt Madihie (2025) - The results indicate that RAT-43 demonstrates good applicability among Chinese college students and can effectively assess psychological resilience levels. Objectives: To assess the level of psychological resilience among Chinese college students, this study introduces the Resilience Assessment Tool 43 (RAT-43), developed by Amalia bt Madihie and Siti Norazilah Mohd Said. Keywords: analysis; chinese; college; factor; health; items; mental; rat-43; reliability; resilience; students; validity
• Students’ Assessment of Teaching Effectiveness of Basic Science Teachers by Lawrence Achimugu (2025) - Thus, the study investigated junior secondary school students’ assessment of teaching effectiveness of basic science teachers in Kogi State. Results: Results revealed that basic science teachers were effective in subject matter, communication skills and evaluation skills but ineffective in instructional presentation skills. Keywords: assessment; effectiveness; research; schools; science; skills; students; study; teachers; teaching
• Impact of Digital Marketing on Brand Building with Reference to Rayat Bahra University by Ankush Sharma (2025) - The research therefore, aimed to study the impact of Digital Marketing strategies in context to University Brand enhancement amongst the students. [8] IV.IMPLICATIONS OF DIGITAL MARKETING STRATEGIES ON BRAND BUILDING OF UNIVERSITIES/EDUCATION SECTOR: Digital Marketing strategies have profound implications for brand building in the education sector, particularly for universities. Keywords: analysis; brand; building; digital; marketing; research; strategies; students; university
• Enhancing Listening Comprehension in ESP Courses: A Business English Perspective by Bardha Gashi (2025) - 2. Methodology This study employs a mixed-methods approach to combine quantitative and qualitative data for a comprehensive understanding of how ESP listening comprehension can be enhanced in professional contexts. These hours are allocated as follows: • Lectures: 30 hours • Theory/Lab Exercises: 15 hours • Self-study and Assignments: 28 hours • Midterm Test, Preparation, and Final Exam: 26 hours All courses emphasize progressive skill development in business English, with increasing complexity and practical applications in real-world business contexts. Keywords: business; comprehension; courses; english; esp; listening; skills; students

• The Influence of Social Media Algorithms on Consumer Buying Behaviour by S. Prabha Arockia Joans (2024) - The questionnaires were carefully designed to assess user engagement metrics— including likes, shares, comments, and click-through rates—while also capturing the participants’ purchasing behaviour as influenced by social media content. 20-11-2024 Abstract: Social media algorithms significantly shape 72% of consumer purchasing choices by customizing content to align with user interests. Keywords: algorithms; analysis; behaviour; consumer; consumer purchasing; content; decisions; engagement; media; purchasing; research; user
• Study on Value Co-Creation Model Driven by New Quality Productivity: The Interactive Impact of Supply Chain Collaboration and User Participation by Wang Xinyuan (2025) - In this context, enterprise supply chain management is faced with unprecedented mailto:wxyassist@stud.assist.ac.kr Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 136 https://internationalpubls.com challenges and opportunities. Based on the theory of new quality productivity, this paper uses the hierarchical regression method to analyze the sample data of 360 manufacturing enterprises and discusses the value co-creation model of supply chain collaboration and user participation driven by new quality productivity. Keywords: capability; chain collaboration; enterprises; innovation; participation; productivity; quality; supply chain; user; user participation; value
• An Evaluative Study on Internet Banking Usage among Middle Age and Youngsters by Karmjeet Kaur (2025) - The purpose of this study is to analyze the socio - economic profile of internet banking user of middle aged (41-65 years of age) and youngster (21-40 years of age). In middle aged user majorities of respondent were higher secondary (32.4%) followed by graduate (26.4%), postgraduate (25.4%) and few users were matric(16.0%) respectively. Keywords: banking; distribution; income; internet; middle; user; youngsters
• An Evaluative Study on Internet Banking usage among Middle Age and Youngsters by Karmjeet Kaur (2025) - The purpose of this study is to analyze the socio - economic profile of internet banking user of middle aged (41-65 years of age) and youngster (21-40 years of age). In middle aged user majorities of respondent were higher secondary (32.4%) followed by graduate (26.4%), postgraduate (25.4%) and few users were matric(16.0%) respectively. Keywords: banking; distribution; income; internet; middle; user; youngsters
• Impact of Digital Marketing on Consumer Travel and Destination Decisions with Special Reference to Behaviour Changes, Platform-Specific, Emerging Technologies and Engagement Metrics by Ch. Suman Swami Das (2025) - Nowadays, the social media platforms like Facebook, YouTube and Instagram has become the most significant integral part of travel digital marketing. 20-03-2025 Abstract: This comprehensive review assesses the transformative impact of digital marketing on consumer travel and destination choices, drawing on the findings from 24 studies across prominent databases, including Scopus, PubMed, Web of Science, ScienceDirect, JSTOR, and Google Scholar. Keywords: 2022; content; destination; digital; impact; marketing; media; tourism; travel; user
• Evaluating UI/UX Aspects in Mobile Applications Catered to Senior Citizens in India: A Comparative Study by Janhavi P. Kulkarni, Jayashree Patil (2025) - Case Study To examine the UI/UX aspects of mobile applications designed for older adults, three apps have been selected. By following these guidelines, older users can become more familiar with the applications and use them more effectively. Keywords: adults; applications; design; elderly; item; user; vol

• Applications of Discrete Mathematics in Network Theory by Meng, Lei (2023) - This article delves into the significance of discrete mathematics in network theory. 2. Mathematical Foundations 2.1 Graph Theory Graph theory forms the core of discrete mathematics in network theory. Keywords: mathematics; networks
• Strategies for Applying Women's Social Capital in Small and Medium Enterprises in North Sulawesi, Indonesia by Rahel Widiawati Kimbal (2025) - The specific objectives of this research are to identify and explore the application of social capital as strategies for starting a business, for marketing expansion, and for sustaining a business, as well as to assess the impact of social capital application on the economic benefits. Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 838 https://internationalpubls.com Strategies for Applying Women's Social Capital in Small and Medium Enterprises in North Sulawesi, Indonesia Rahel Widiawati Kimbal Fakultas Ekonomi dan Bisnis Universitas Negeri Manado, Jurusan Ilmu Ekonomi, Kampus Tonsaru Tondano, Minahasa Regency,North Sulawesi Province, Postal Code:95618, Indonesia Email: rahelwkimbal@unima.ac.id, Orchid ID: https://orchid.org/0000-0001-9697-5504 Grace Jenny Soputan email: gracesoputan@unima.ac.id, Pradipta Mandasari Parasan Email: pradiptaparasan@unima.ac.id Article History: Received: 7-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract: This study aims to reveal the strategies for applying social capital and its benefits in small and medium enterprises (SMEs) managed by women, particularly in the restaurant sector. Keywords: business; capital; communication; customers; entrepreneurs; networks; relationships; social; strategies; trust

• Enhanced Design of Ethernet to HDMI Accelerators and IP Subsystems for IoT Systems by Ipseeta Nanda (2025) - For this, the HDMI-Ethernet AXI association framework is planned and executed utilizing Xilinx Vivado IP implanted and Zynq processor. The reuse of approved IP plans assist empowers the creation of unused, bigger, and more complex frameworks. Keywords: axi; ethernet; figure; framework; gadgets; hdmi; information; interface; memory; plan; video; xilinx
• A Study on Green Food Consumption Behavior: An Analysis of Processes and Mechanisms from the Perspective of Environmental Sustainability by Xinqi Huang (2025) - Despite providing a systematic analysis of green food consumer behavior from an environmental sustainability perspective, this study has certain limitations. Therefore, both information asymmetry and bounded rationality jointly influence consumers’ risk perceptions and decision-making pathways in green food consumption and, to a certain extent, constrain the market expansion and sustainable development of green food. Keywords: awareness; behavior; consumers; consumption; environmental; food; green; information; market; products; purchase; purchasing; sustainability
• Digital Influence in the Age of Web Media: The Role of Social Media in the Spread of Fake News in India by Lisha Jaiswal, Shatakshi Boyar, Tuhina Choubey (2025) - 3. Encourage Platforms to Identify and Disprove Misinformation: Since social media platforms are important information-spreading tools, they need to be more accountable for halting the spread of false information. Sensationalized content has become widely disseminated on social media platforms due to algorithms that value interaction over accuracy. Keywords: content; digital; india; information; literacy; media; news; platforms; public; web

• Liver Disease and Its Associated Complications in Mizoram by Lalpawimawha (2025) - Additionally, promoting healthy lifestyle choices such as regular physical activity and a balanced diet can help maintain liver health and reduce the harmful effects of alcohol. Increasing awareness and taking preventive actions against liver health problems caused by alcohol consumption are crucial in minimizing the impact of alcohol-related liver disease. Keywords: alcohol; analysis; ascites; disease; health; liver; study
• Machine Learning-Based Prediction and Remedy Assessment for Non-Alcoholic Fatty Liver Disease Via Ultrasound Imaging by Sushma (2025) - Figure 1 Different stages of fatty liver disease Steatosis, also known as fatty liver disease, is characterized by the abnormal buildup of lipids in the liver. Keywords: analysis; bar; disease; fatty; fatty liver; grade; liver; liver disease; nafld; steatosis
• Transformative Approaches to Alzheimer Disease Treatment: Current Progress and Future Direction” by Vandana Bhatia (2025-04-24) - None Keywords: alzheimer; amyloid; analysis; app; cas9; crispr; delivery; disease; dna; doi; editing; gene; protein; target; therapies; treatment; trials; vol
• Neuroprotective Potential of Agmatine in Mitigating Aluminium Chloride-Induced Cognitive Deficits in Rats by Vandana Bhatia (2025) - 3. Results: 3.1 Behavioral Parameters 3.1.1 Effect of agmatine on spontaneous locomotor activity in AlCl3 treated rats. In open field test, AlCl3 treated rats showed significantly decreased locomotor activity as compared with vehicle control group (P<0.05). Keywords: agmatine; alcl3; aluminium; alzheimer; analysis; brain; disease; effect; memory; p<0.05; rats; stress

• Revolutionary Hybrid RDS, Big Data and AI Quality Control: Cpk-Based Analysis by B.Esha Raffie (2024) - Some specific uses of mixed inspection RDS plan in big data include: 1. Neural Network: Mixed inspection RDS plan can be used in neural network training as a strategy to sample the training data. Keywords: acceptance; cpk; inspection; plan; probability; quality; rds; sample; sampling; 𝑃( �
• An Analytical Study on Account Holders' Perceptions and Satisfaction with reference to Banking Service Quality Post Merger of selected Public Sector Bank in India by Kantharaju G (2024) - The bank's mission, to provide quality banking services with enhanced customer orientation, higher value creation for stakeholders, and to be a major player in the global market, reflects its commitment to excellence and customer satisfaction. This study aims to delve into these perceptions, examining the impact of mergers on various dimensions of banking service quality, such as reliability, responsiveness, assurance, empathy, and tangibles.(Shabd, 2020) Keywords: account; analysis; bank; banking; customer; merger; quality; respondents; satisfaction; sector; service; study; value; years
• Statistical Analysis of Water Quality Data of Agra Canal, Quantifying Seasonal Variation in Haryana Stretch India by Manisha Kumari (2025) - An array of water quality parameters were examined, including pH, E.C., TDS, Turbidity, DO, BOD, COD, T.H., TA, Ca, Mg, Na, K, HCO3, Cl, SO4 and NO3 and Total Coliform (T.C). Assessment of contaminant levels in locally cultivated vegetables using Agra Canal water and its associated health risks. Keywords: analysis; correlation; monsoon; parameters; pollution; quality; summer; water
• Planning Strategies Of Nurse Administrators And Quality Healthcare Service Delivery In The Bangsamoro Autonomous Region In Muslim Mindanao by Rahma K. Andamen, (2025) - The result of the study revealed that the extent of effectiveness of planning strategies of nurse administrators in terms of forecasting, budgeting risk management and tracking and monitoring were all highly extensive. This study aims to identify planning strategies in organizational issues related to quality service delivery for work purposes and examine whether such issues influence health service delivery. Keywords: administrators; nurse; planning; quality; strategies; study
• Exploring Consumers Behavioral Drivers and Demographic Differences towards Consumption of Traditional Awadhi Food in Lucknow by Feroz Haider Alvi (2025) - Article History: Received: 12-11-2024 Revised: 25-12-2024 Accepted: 05-01-2025 Abstract: This research study addresses consumer behavior and demographic variations in the consumption of traditional Awadhi food in Lucknow, seeking to identify salient drivers and demographic changes influencing preferences. 3. OBJECTIVES OF THE STUDY • To examine the factors influencing consumer behavior towards traditional Awadhi food of Lucknow. Keywords: accessibility; analysis; aspects; awadhi food; considerations; consumer behavior; consumers; consumption; difference; factor; food; health; influencing; mean; price; quality
• An Interplay between Social Media Marketing, Consumer Behavior and Relationship Quality: Scale Development and Validation by Rayees Ahmad Tantray (2025) - Social media marketing factors like interaction and entertainment play pivotal roles, with interaction being the most influential. No. ICMASD (2025) 657 https://internationalpubls.com An Interplay between Social Media Marketing, Consumer Behavior and Relationship Quality: Scale Development and Validation Rayees Ahmad Tantray1, Zahid Iqbal Tantray2, Davinder Kaur1* 1Department of Management, CT University, India 2Department Of Management, GDCW, Anantnag, India Corresponding Author’s email address: drdavinder24220@ctuniversity.in Article History: Received: 12-12-2024 Revised: 25-01-2025 Accepted: 05-02-2025 Abstract: This study explores the impact of social media marketing on consumer behavior and relationship quality in India's fast-moving consumer goods (FMCG) industry. Keywords: analysis; behaviour; consumer; factor; items; marketing; media; quality; relationship; scale
• Sacred Journeys: Assessing Visitor Satisfaction and Loyalty in Ayodhya's Religious Tourism by Abhishek (2025) - This study aims to explore the relationship between tourist satisfaction and destination loyalty in the context of religious tourism in Ayodhya. Findings indicate that spiritual satisfaction, cleanliness, crowd management, and hospitality are critical drivers of tourist satisfaction, which in turn strongly correlates with destination loyalty. Keywords: ayodhya; destination; experience; infrastructure; loyalty; quality; satisfaction; tourism; tourists
• Experimental Investigation on Surface Characteristics of Finish Hobbed Gear using Grey Relational Analysis by Govind Shantaram Dhage (2024) - [9] E. Bergstedt, J. Lin, and U. Olofsson, “Influence of gear surface roughness on the pitting and micropitting life,” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, vol. 234, no. 24, pp. This indicates that lower feed rates result in a better surface finish on gear tooth surfaces .Therefore, it is important to carefully select the optimal combination of cutting speed and feed rate to obtain the desired surface roughness for gear teeth. Keywords: analysis; cutting; feed; gear; grey; hobbing; parameters; process; quality; roughness; speed; surface; vol

• Can Automobile Brands Optimize their Print Advertisements through Eye-Tracking Analysis? by Joyeeta Chatterjee (2024) - The second question asked which image and design of automobile print advertisements appealed the most to the viewers. Hypotheses Testing To determine whether there is a significant difference between how men and women perceive automobile print advertisements, the hypotheses were tested. Keywords: advertisements; analysis; attention; automobile; brand; eye; gaze; participants; print; researchers; respondents; technology; tracking

• Thermal Radiation Effects of Convective Flow of a Hybrid Nanofluid with Different Base Fluids in Heat Transfer Over a Stretching Sheet by R. Lakshmi (2024) - explains, as the temperature ratio parameter (𝜃𝑤 = 0.1,0.2,0.3) increases, the temperature profile of the stretching sheet in the context of water mixing hybrid nanofluid and sodium alginate mixing hybrid nanofluid is subject to changes in heat transfer, fluid flow, and thermal boundary layer characteristics. [16] K. Guedri, A. Khan, N. Sene, Z. Raizah, A. Saeed and A. M. Galal, Thermal flow for radiative ternary hybrid nanofluid over nonlinear stretching sheet subject to Darcy–Forchheimer phenomenon, Mathematical Problems in Engineering,2022, 3429439. Keywords: flow; heat; hybrid; nanofluid; nanoparticles; radiation; sheet; stretching; temperature; transfer
• Application of Hydrogel as an Irrigation Alternative for the Pepper Production System in the Santa Lucía Canton, Guayas by Alberto Yitzak Lozano Sacoto (2025) - No. 9s (2025) 224 https://internationalpubls.com Eighth cycle / Rainy Season Income Expenses Utilities Benefit/cost Absolute Witness / Hybrid Martha R 5554.292644 3855.50 1698.79 1.44 Absolute Witness / Hybrid Nathalie 5178.459011 3855.50 1322.96 1.34 1 gr per plant / Martha R Hybrid 6765.181634 4560.05 2205.13 1.48 1 gr per plant / Absolute Witness / Hybrid Nathalie 4352.9265 3625.00 727.93 1.29 1 gr per plant / Martha R Hybrid 5574.8355 4274.90 1299.94 1.20 1 gr per plant / Keywords: analysis; grams; hybrid; hydrogel; martha; martha r; nathalie; pepper; plant; treatment; water; witness
• Millennials and Organizational Commitment in Times of Hybrid Work by Remmya Ramchandran, Ramandeep Gautam (2025) - Hybrid work, blending in-office and remote work, offers many benefits that appeal to millennials, including greater control over work-life balance and the autonomy to craft their work routines. Methodology This study used a survey-based approach to explore how hybrid work affects millennials’ commitment to their organizations. Keywords: autonomy; commitment; hybrid; millennials; work
• Flow of Hybrid Dust Micropolar Nanofluids Along the Symmetric Riga Surface with Heat Generation and Application of Cattaneo-Christov Theory by E. Rama (2024) - K K K     + − − − − = =  + − + − + − − − − + − + − The parameters and non-dimensional numbers are specified as Pr = ( 𝜇𝑐𝑝 𝑘 )𝑓 , 𝜆 = 𝐺𝑟𝑥 𝑅𝑒2 , 𝐺𝑟𝑥 = 𝑔𝛽𝑓(𝑇𝑤−𝑇∞)𝑥 3 𝜈𝑓 2 , 𝑅𝑒 = 𝑥𝑢𝑤 𝜈𝑓 , 𝜖 = 𝜈𝑓 𝑐𝐾𝑝 , 𝐸𝑐 = (𝑐𝑥)2 (𝑐𝑝)𝑓 (𝑇𝑤−𝑇∞) , 𝑅𝑑 = 16𝜎∗𝑇∞ 3 3𝑘∗∗𝐾𝑓 , 𝑄 = 𝑄0 𝑐(𝜌𝑐𝑝)𝑓 , δ = c𝛾𝑇, 𝐴 = 𝑘 𝜇𝑓 , 𝜒 = 𝜋𝑗0𝑀0 8𝑐2𝑥𝜌𝑓 , 𝛽𝑣 = 1 c𝜏𝑣 , 𝛽𝑇 = 1 c𝜏𝑇 ,𝜏𝑣 = 𝑚 𝑘∗ , 𝑚 = 𝜌𝑝 𝑠 , γ = (𝑐𝑝)𝑓 𝑐𝑚 , B = 𝑘ℎ𝑛𝑓 (𝜌𝑐𝑝)ℎ𝑛𝑓 𝜕𝑦𝑦𝑇 − 𝜕𝑦𝑞 𝑟 + 𝜌𝑝(𝑐𝑝)𝑓 𝜏𝑇(𝜌𝑐𝑝)ℎ𝑛𝑓 (𝑇𝑝 − 𝑇) + 𝜌𝑝 𝜏𝑣(𝜌𝑐𝑝)ℎ𝑛𝑓 (𝑢𝑝 − 𝑢) 2 + 𝑄0 (𝜌𝑐𝑝)ℎ𝑛𝑓 (𝑇 − 𝑇∞) (11) 4.4 Heat transfer and dust particle flow 𝜕𝑥𝑢𝑝 + 𝜕𝑦𝑣𝑝 = 0 (12) 𝑢𝑝𝜕𝑥𝑢𝑝 + 𝑣𝑝𝜕𝑦𝑢𝑝 = 𝑘∗𝑠 𝜌𝑝 (u − 𝑢𝑝) (13) 𝑢𝑝𝜕𝑥𝑇𝑝 + 𝑣𝑝𝜕𝑦𝑇𝑝 = − (𝑐𝑝)𝑓 𝜏𝑇𝑐𝑚 (𝑇𝑝 − 𝑇) (14) Keywords: fe3o4; flow; heat; hybrid; impact; micropolar; nanofluid; 𝐿 =

• Basic Demographic and Prevalence of Visual Function and Skill-Related Problems in Mild to Moderate Dementia Seen in a Memory Clinic in Kolkata by Somdatta Maitra (2025) - Dementia patients faces lots of problems in daily living skills( Marquie et al., 2019)which are strongly related to visual systems (Pal et al.,2013)like decreased depth of perception thus having problems in climbing into stairs ( Mittenberg et.al,1994. Dementia patients with deficits visual skills and visual function-related problem face more cognitive deficits as both of them are strongly related. Keywords: acuity; age; alzheimer; analysis; contrast; control; dementia; dementia patients; eye; group; impairment; patients; study; test; vision; visual; vol
• An Analytical Examination, Comparative Assessment, and Critical Evaluation of Choice Theory in the Holy Quran and Psychology by Abbas Hassanalipor Temijani (2024) - Abstract: This research aims to systematically analyze, juxtapose, and critically evaluate choice theory as presented in the Holy Quran and psychological discourse. The investigation identifies points of convergence, areas of contention, and original Quranic perspectives about the core tenets of choice theory. Keywords: baqarah; choice theory; control; holy; holy quran; need; perspectives; quran; responsibility; vol; world
• Optimal Design for High Performance Computing Systems Based on 5-Stage Pipeline 32-bit RISC-V Processor by Rajender Kumar, Sneha Bhattacharya (2025) - No. 3 (2025) 1080 https://internationalpubls.com ALU Control The Arithmetic Logic Unit (ALU) plays a central role in the execution of RISC instructions, performing a variety of arithmetic and logical operations depending on the instruction type: 3.8 Arithmetic and Logical Operations ● For instructions such as addition, subtraction, and logical operations, the ALU directly executes the operation and forwards the result to the data memory or destination register. ● Showcasing the benefits of the RISC pipelined architecture in achieving faster and efficient execution by overlapping instruction stages. Keywords: alu; control; execution; instruction; memory; processor; register; risc

• Joint Effects of Velocity and Thermal Wall Slips on Steady, Laminar, MHD Jeffrey-Nano Fluid Flow Over a Non-Linearly Stretching of a Flat surface by B. Chandrasekhar (2024) - [13] examine the characteristics of Jeffrey fluid flow. *Corresponding author Email address: shekmaths10@gmail.com Article History: Received: 17-05-2024 Revised: 23-06-2024 Accepted: 11-07-2024 Abstract: The effect of Thermophoresis and Brownian motion on the time-dependent (steady) magnetohydrodynamic boundary layer Jeffrey fluid flow of a nonlinearly stretching sheet in the existence of nanoparticles is investigated in this research. Keywords: fig; flow; fluid; jeffrey; parameter; results; stretching; velocity
• Influence of Cattaneo-Christov Heat Flux Model Rotating Maxwell Nanofluid with MHD and Double Stratification Across a Bidirectional Stretching Surface by Kanchana M (2024) - [8] Iskander Tlili, Sania Naseer, Muhammad Ramzan, Seifedine Kadry, and Yunyoung Nam, Effects of chemical species and nonlinear thermal radiation with 3D Maxwell nanofluid flow with double stratification - An analytical solution, Journal of Entropy, 2020, 22(4), 453, doi:10.3390/e22040453. Maxwell fluid flow with double stratification, thermal radiation and magnetic field considered by Tariq Hussain. Keywords: figure; flow; heat; maxwell; nanofluid; rotating;  ;  ;  
• Heat Transfer Analysis of Bingham Fluid Flow in the Entrance Region of Concentric Annuli with Outer Cylinder Rotating by Gayathri devi Nangineni (2024) - Keywords: Bingham fluid, Entrance region, Concentric annulus, Finite difference method, Rotating cylinder. 1074-133X Vol 31 No. 7s (2024) 384 https://internationalpubls.com The flow and heat transfer properties of Bingham fluid at the entrance region of concentric annuli were examined in this work. Keywords: analysis; bingham; cylinder; flow; fluid; heat; temperature; transfer; velocity
• A Mathematical Approach for Stability Analysis of MHD Nanofluid Flow and Heat Transfer over a Stretching Sheet with Thermal Dispersion and Variable Viscosity by Vinodkumar (2024) - Keywords: MHD nanofluid flow, stability analysis, thermal dispersion, variable viscosity, stretching sheet, heat transfer, linear stability theory, eigenvalue analysis, magnetohydrodynamics, nanofluid dynamics 1. Hence, the mathematical examination of global stability for complete case of MHD nanofluid flow over a stretching sheet with thermal dispersion and variable viscosity also becomes indispensable. Keywords: analysis; dispersion; flow; heat; mhd; nanofluid; sheet; stability; stretching; transfer; viscosity
• Heat and Mass Transfer in MHD Flow of a Nanofluid through a Porous Medium over a Stretching Sheet with Chemical Reaction by Arick M. Lakhani (2024) - Several researchers extended the idea of a stretching sheet beyond laminar flow analysis and investigated different features of fluid dynamics over stretch-ing surfaces as well as heat transfer. The present study aims to advance the understanding of magnetohydrodynamic flow and heat transfer of nanofluids through porous media in which viscous dissipation accompanies with chemical reaction effects are incorporated utilizing established numerical techniques like Keller-Box method. Keywords: analysis; applications; boundary; chemical; dissipation; effects; field; flow; fluid; heat; layer; mass; number; radiation; stretching; surface; temperature; transfer; 𝑁𝑢𝑥
• Radiative Maxwell Nanofluid Flow over a Stretching Sheet Undergoing a Chemical Reaction by Padmini (2024) - Slip effects on MHD boundary layer flow over an exponentially stretched sheet with suction/blowing and heat radiation was investigated by Mukhopadhyay [26] explored MHD boundary layer flow of micropolar nanofluid via a stretched sheet with non-uniform heat source/sink affected with thermal radiation. Keywords: boundary; flow; fluid; heat; layer; parameter; radiation; sheet; stretching; surface; transfer
• Effect of Polypropylene Fiber on compressive Strength of Self Compacting Concrete by Aparna Jagtap (2024) - 3.3 Graphical representation Graphical Comaprision of self compacting concrete and SCC-F1 ,SCC-F2, SCC-F3 and SCC-F4 shown in the below , Graph 1- Comparison of compressive strength for 7- days, 14-days, and 21-days curing of SCC and SCC-F1. No. 8s (2024) 642 https://internationalpubls.com Graph 3- Comparison of compressive strength for 7- days, 14-days, and 21-days curing of SCC and SCC-F3 Graph 4- Comparison of compressive strength for 7- days, 14-days, and 21-days curing of SCC and SCC-F4 Conclusion Methodology develop in this work gives the effective contribution in comparative compressive strength of self compacting concrete and compressive strength of self compacting concrete with polypropylene fiber. Keywords: concrete; days; flow; mix; polypropylene; scc; self; strength; test
• Hydrodynamic Force Expression with Couple Stress Drag Over Sphere at Small Reynolds Numbers by K Madhukar (2024) - [32] Heat transfer analysis of couple stress fluid flow past a porous stretching plate with convective boundary condition by Mukhopadhyay (2014) Methods: We consider both the expressions for the hydrodynamic forces and combine them to get a new expression for the effects of couple stress fluids at low Reynolds numbers on a rigid sphere. Keywords: couple; couple stress; flow; fluid; force; reynolds; stress
• Numerical Study of the 3D MHD Radiative Flow of Williamson Nanofluid with Variable Characteristics Over a Double Stretching Sheet by Boreddy Mahendar Reddy (2024) - The studies delve into the traits of 3D fluid flows with Maxwell fluids that have changing properties like viscosity and thermal conductivity. Impact of viscosity parameter on 𝑓′(𝜂) Figure.15 Impact of variable viscosity parameter on 𝑔′(𝜂). Keywords: flow; fluid; heat; impact; nanofluid; temperature; variable; viscosity; 𝐷𝑇 𝑇∞; 𝑅𝑒𝑥
• Darcy-Forchheimer Flow of Casson Nanofluids Towards a Spinning Disk with Non-Uniform Heat Source by Chepiala Pushpalata (2024) - Controlling of flow parameters has a few study ranges such as 0 < 𝑀 < 1, 0 < Numerical outcomes and conversation This paper visualizes the scope of slip parameters' features can be represented in equations (11) - (14) namely, porosity parameter, Forchhiemer flow parameter, magnetic parameter, Casson fluid parameter, Prandtl number, Brownian motion parameter, Thermophoresis parameter, Lewis number against radial velocity profile, tangential velocity, temperature distribution profile and volumetric concentration profile. Keywords: casson; disk; flow; fluid; heat; parameter; 𝜕2𝑇
• Combined Convection Stagnation-Point and Transfer of Heat of a Jeffery Fluid by Masarath Jabeen (2024) - The non- Newtonian fluids are broadly classified into three branches i.e. viscoelastic, time independent and time dependent one among the famous non-Newtonian fluid is Jeffrey fluid. [1] has studied the impact of viscous dissipation and joule heating on the Couette and Poiseuille flows of a Jeffrey fluid. Keywords: convection; flow; fluid; heat; mhd; nonlinear; stagnation; transfer
• An Analysis of Magnetohydrodynamic Free Convective Flow past an Infinite Vertical Porous Plate by P. Satish (2024) - Jordan J. inspected the impacts of MHD free convection stream over a semi-endless vertical permeable plate, heat radiation, and gooey dissemination. In this review, an examination was done to decide the effect that thick dissemination and Joule warming have on MHD free convection from an upward plate that encounters power-regulation variances in surface temperature. Keywords: convection; flow; liquid; mass; mhd; plate; temperature; transfer
• Radiative Flow and Heat Transfer of Chemically Reacted Casson Nanofluid Over a Wedge Under the Influence of MHD and Viscous Dissipation by Ch. Vittal (2024) - Nb Nt at f at          = = = − − + = =  =  =  = → The involved physical parameters are Casson fluid parameter 𝛾, wedge parameter 𝛽, 05-11-2024 Abstract: The effect of thermal radiation, viscous dissipation with magnetohydrodynamic and chemically reacted Casson Nano fluid flow across a moving wedge and convective boundary condition in existence of internal heat generation/absorption is studied, the obtained results are presented. Keywords: fig; flow; fluid; heat; number; parameter; temperature; values; wedge
• Numerical Analysis of Thermal Performance in Solar Thermal Collector System with Artificial Roughness by Arbind Kumar Amar (2024) - 5 depicts plot of out let temperatures with different mass flow rates, (0.036 kg/s, 0.039 Kg/sec & 0.042 kg/s) theoretical & practical. Figure.6 Plot of Collector efficiencies V/s day time with different mass flow rate 290 300 310 320 330 340 350 360 10:00 10:30 11:00 11:30 12:00 12:30 01:00 01:30 02:00 02:30 03:00 03:30 04:00 04:30 05:00 T em p er a tu re Time Time Vs Out let Theoretical Temperature (Tth) m=0.036 kg/sec m=0.039 kg/sec m=0.042 kg/sec 300 305 310 315 320 325 330 335 340 10:00 10:30 11:00 11:30 12:00 12:30 01:00 01:30 02:00 02:30 03:00 03:30 04:00 04:30 05:00 Keywords: efficiency; exergy; flow; mass; sec; stc
• An Exploration of the Influence of MHD, Porosity, and Wall Transpiration on Jeffrey, Fluid Flow by P. Aparna (2024) - Abstract: This work explores the complex dynamics of Jeffrey fluid flow, with a focus on the effects of wall transpiration, porosity, and magnetohydrodynamics (MHD). Examining the relationship between porosity and Jeffrey fluid flow sheds light on fluid transport in porous surfaces and has applications in biomedical engineering, increased oil recovery, and groundwater remediation. Keywords: dynamics; engineering; flow; fluid; jeffrey; mhd; porosity; velocity; vol
• Comprehensive Numerical Analysis of Fluid Flow Characteristics in a Lid-Driven Cavity with a Central Obstacle: Flow Physics by Dalmalka Praveen Kumar (2025) - No. 6s (2025) 410 https://internationalpubls.com 0.40L 14.525 24.37% 57.78% 4.8x10+04 17.07% 85.42% 0.50L 17.135 46.71% 57.20% 5.3x10+04 29.27% 78.00% 0.60L 21.658 85.48% 36.34% 6.2x10+04 51.22% 43.55% 100 0.0L 11.679 - 59.20% 4.1x10+04 - 42.86% 0.40L 14.928 27.83% 23.59% 4.8x10+04 17.07% 43.55% 0.50L 17.459 49.53% 24.69% 5.4x10+04 29.27% 39.06% 0.60L 21.906 87.57% 21.53% 6.3x10+04 53.66% 18.67% 400 0.0L 14.840 - 26.40% 4.7x10+04 - 18.42% 0.40L 17.920 20.77% 9.90% 5.5x10+04 17.02% 23.61% 0.50L 20.188 36.06% 10.37% 6.1x10+04 29.79% 21.92% 0.60L 24.282 63.63% 8.61% 7.1x10+04 51.06% 7.23% 100 0 0.0L 19.286 - - 5.9x10+04 - - 0.40L 22.921 18.85% - 7.0x10+04 18.64% - 0.50L 25.465 32.01% - 7.7x10+04 30.51% - 0.60L 29.528 53.08% - 8.9x10+04 50.85% - Note: The table summarizes the enstrophy (Z) and palinstrophy (P) values for different Reynolds numbers (Re) and obstacle aspect ratio (AR), alongside percentage increases relative to reference cases (without obstacle and Re=1000). As we observed in Figure 3(a-h) when compared to without obstacle (Figure 3d with Figure 3h), we see the primary/secondary vortices size drastically reduced due to the installation of obstacles at the geometric centre of the cavity. Keywords: aspect; cavity; figure; flow; fluid; ldc; obstacle; velocity; vortex; vortices
• Effect of Heat Source on MHD Convective Flow of Non- Newtonian Fluid past an Oscillating Porous Plate in Porous Medium by Rajni, et al. (2024) - [17] The study involves numerical approach in the matter of Newtonian MHD fluid flow across porous medium. In present times multifarious problems and their complex nature poses new challenges in every field dealing with fluid flow, simulation of ocean currents, artificial kidney and heart mechanism and blood flow in veins and arteries. Keywords: field; flow; fluid; heat; number; velocity
• MHD Three-Dimensional Porous Flow with Heat Source and Chemical Reaction: a Numerical Study by K.Srihari (2025) - In recent years, the issue of free convection flow through porous media has garnered considerable attention from researchers. Therefore, in the present paper, a numerical attempt is made to investigate the influence of heat source and chemical reaction on free convection flow of a viscous, incompressible fluid through a porous medium bounded by an infinite vertical porous plate with constant suction. Keywords: flow; heat; medium;  ;  ;  
• Slip Effects on Unsteady MHDCASSON Nano Fluid Flow Over a Porous Stretching Sheet by Tanuja Rachakonda (2025) - Sharidan and others [9] explored similarity solutions regarding unsteady boundary layer flow and the related heat transfer phenomena emerging from a stretching sheet. Table 1 shows the computational values for pertinent flow parameters on skin friction coefficient, Nusselt and Sherwood number. Keywords: figure; flow; fluid; heat; parameter; slip; stretching; t t; velocity
• Study of Convective Magnetohydrodynamic Flow of Casson Fluids through a Porous Medium Incorporating the Darcy-Forchheimer Model and Influenced by Prescribed Heat Sources by Avinash B. Raut (2025) - [6] investigated the modeling and non-similar analysis of the Darcy-Forchheimer- Brinkman model for Casson fluid flow in a porous medium. This study investigates the convective heat transfer dynamics of Casson fluid flow through porous media under the influence of a nonuniform horizontal magnetic field. Keywords: analysis; casson; concentration; figure; flow; fluid; heat; impact; parameter; profile; temperature
• Thermal Radiation, Chemical Reaction, Soret, Hall and Ion Slip Effects on Unsteady MHD Rotating Flow of Micropolar-Casson Fluid through Porous Medium by Suchita T.S (2024) - From all the aforementioned, Hall, and ion slip impacts with thermal radiation and chemical reaction on the convection by two different level density with different rate diffusion (double-diffusive) unsteady MHD natural convective rotating flow of micro-polar Casson fluid over and done with a Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 20-08-2024 Abstract: The effects of heat radiation, chemical reaction, Hall and ion slip, as well as a flow of a fluid in which each particle moves along its line of flow with constant speed and in which the cross section of each stream tube remains unchanged transverse magnetic field and convective boundary conditions, on an unstable MHD natural convective rotating flow of micro-polar Casson fluid through extending to infinity in one direction the porous plate moving vertically have been studied. Keywords: figure; flow; fluid; hall; ion; number; profile; slip; temperature; velocity; vol
• A Study of Bioconvective Williamson Fluid of an Exponential Stretching Sheet with Chemical Reaction by M. R. Mishra, S. Singh, D. Samal (2025) - Introduction The influence of heat radiation and the bio-microorganism phenomena in MHD Williamson fluid flow on an exponentially stretching sheet are investigated in this study. In the current study, MHD Williamson fluid flow has been analysed for an exponential stretching sheet by employing numerical approaches. Keywords: flow; fluid; heat; mhd; sheet; stretching; vol
• Space-Time Caputo Fabrizio Fractional Differentiation through a Proposed Fixed Transform-Based Domain (Ftd) Approach for Groundwater Model by Uttara Deshmukh, Gajanan Lomte (2025) - This study will concentrate on the suggested Fixed Transform Domain (FTD) approach to solving fractional differential equations based on groundwater flow. Additionally, it creates additional complications when boundary conditions are added to fractional differential equations. Keywords: analysis; derivative; differential; equations; flow; fractional; groundwater; solution
• Chemical Reaction and Soret Effects on Mhd Free Convection Flow Past an Accelerated Vertical Plate Through a Porous Medium with Heat Source by Y. V. Seshagiri Rao (2025) - B Mallikarjuna Reddy, D Chenna Kesavaiah and G V Ramana Reddy (2018): Effects of radiation and thermal diffusion on MHD heat transfer flow of a dusty viscoelastic fluid between two moving parallel plates, ARPN Journal of Engineering and Applied Sciences, Vol. 13 (22), pp. In order to reduce the above system of partial differential equations (9), (10) and (12) under the boundary conditions given equations (13) we assume in complex form the solution of the problems as ( ) ( ) ( ) ( ) ( ) ( ) 0 0 0 , , , i t i t i t F y t F y e y t y e y t y e    Keywords: flow; fluid; heat; number; plate; velocity; vol
• Nonlinear Hydrodynamic Instability Control on a Shear-Imposed Two-Layer Film Flow by Means of Velocity Slip and Insoluble Surfactant by Muhammad Sani (2025) - Bhat and Samanta[3] further examined the effects of surfactants on two-layer falling films over a slippery incline, highlighting the dual role of the viscosity ratio in surface mode instability. [27] M. Sivapuratharasu, S. Hibberd, M.E. Hubbard, H. Power, Inertial effects on thin-film wave structures with imposed surface shear on an inclined plane, Phys. Keywords: flow; fluid; layer; shear; surface; surfactant; 𝑅𝑒1
• RADIATION EFFECT ON TRANSIENT FREE CONVECTIVE MHD HEAT TRANSFER FLOW THROUGH POROUS MEDIUM by Y. V. Seshagiri Rao (2024) - Anita Tuljappa, D. Chenna Kesavaiah, M. Karuna Prasad, Dr. V. Bharath Kumar (2023): Radiation absorption and chemical reaction effects on MHD free convection flow heat and mass transfer past an accelerated vertical plate, Eur. Chem. D. Chenna Kesavaiah, G. Rami Reddy, G. Maruthi Prasada Rao (2022): Effect of viscous dissipation term in energy equation on MHD free convection flow past an exponentially accelerated vertical plate with variable temperature and heat source, International Journal of Food and Nutritional Sciences, Vol. 11,(12), pp. Keywords: flow; heat; plate; t t; vol
• Analysis of Flow of Blood Under the Influence of a Magnetic Field Using a Stenotic Multiple Artery Inclined with Suspended Silver Nanoparticles by M. Shiva Krishna, P Maddileti (2025) - Understanding blood flow behavior in these conditions is essential for early diagnosis, treatment, and prevention of cardiovascular disease Over the years, a vast literature has emerged addressing blood flow in stenotic arteries, modeling blood as a Newtonian or non-Newtonian fluid in various physiological situations. Understanding the dynamics of blood flow in different arterial geometries is essential to detecting and treating cardiovascular disease. Keywords: flow; 𝐹 =; 𝛼 𝐹
• Two-Dimensional Viscous, Steady, 2-D Nanofluid Flow Past a Permeable Stretching Sheet in Presence of Magnetic Field, Soret and Dufour Effects by Ch. Janaiah (2024) - The recent breakthroughs in utilizing solid particles to enhance heat transfer fluids mark a significant advancement f y f y f y y y y y Keywords: analysis; flow; fluid; heat; nanofluid; profiles; transfer
• Behavior of Non-Newtonian Nano-Williamson Fluid Flow Over a Stretching Sheet Filled by Porous Medium: Multiple Slips and Magnetic Field Effects by B. Chandrasekhar (2024) - Introduction: Multi-slip effects refer to the simultaneous occurrence of multiple slip mechanisms in fluid flows. Williamson nanofluid is a type of nanofluid that exhibits multi-slip effects. Keywords: effects; fig; flow; heat; nanofluid; slip; transfer; velocity

• An Ellustrative Research on Challenges and Opportunities Faced Due To Evolving Legal Landscape of Online Gaming in India by Garima Dhaka (2024) - Online gaming in India may face the challenges of the evolving legal landscape but also offers ample opportunities. Keywords: online gaming, challenges, opportunities, Information Technology, legal landscape. Keywords: act; court; framework; gambling; games; gaming; india; industry; laws; online; sector; skill
• Speech-Related Offences in India with Special Reference to Hate Speech: A Comparative Analysis by Srutakirti Panda, Madhubrata Mohanty (2025) - Hate speech India has no standardized definition of hate speech. This article compares India's laws on sedition, defamation, criticism, insults, and hate speech, arguing for the necessity of hate speech laws despite existing sedition and defamation regulations. Keywords: analysis; court; criticism; defamation; hate; hate speech; india; law; offences; sedition; speech; supreme
• India’s Export Potential and Product Diversification with Brazil, Russia, China and South Africa by Jasdeep Kaur Dhami, (2025) - In the literature on economics, export product diversification has received a lot of attention. Gozgor and Can (2016) investigated how export product diversification affected revenue at various economic development phases. Keywords: brics; diversification; export; export potential; india; potential; product; trade
• cana-5147 by None (None) - No. ICMASD (2025) 1196 https://internationalpubls.com Cinematic Narratives and Legal Realities: Analyzing Transgender Representation in Indian Films Rineet Kaur1, Amarjeet Kaur1, Bineet Singh2 1 Department of Journalism and Mass Communication, CT University, Ludhiana 2 Department of Law, Himachal Pradesh University, Shimla Article History: Received: 12-12-2024 Revised: 25-01-2025 Accepted: 05-02-2025 Abstract: The representation of transgender individuals in Indian cinema has played a pivotal role in shaping public perception and cultural discourse around gender identity. By analyzing selected Indian films and their reception, the research aims to identify gaps between cinematic narratives and the lived experiences of transgender individuals. Keywords: community; court; equality; films; india; individuals; media; people; rights; social; society; transgender; transgender individuals
• Legal Status of Sex Work in India by Shiffali (2025) - principalsol@ctuniversity.in Article History: Received: 12-12-2024 Revised: 25-01-2025 Accepted: 05-02-2025 Abstract: Sex work in India is a complex and a multifaceted perplexity, characterised by ambiguities, inconsistencies and challenges that affect the lives of sex workers. Keywords: Sex work, Laws, Human Trafficking, Sex workers. Keywords: act; court; india; prostitution; sex; work
• Rise of E-Marketing: A Shift from Traditional to Digital Marketing in the Tourism Industry (Hotels & Tour Operators) by Mousumi Dasgupta (2025) - “E-marketing, as shown by this body of work, has reshaped the hospitality landscape by allowing businesses to leverage data, analytics, and targeted marketing strategies to attract customers with more precision and efficiency than ever before. The effectiveness of e-marketing is often evaluated in isolation, with limited comparative analysis against traditional marketing methods. Keywords: analysis; customer; digital; engagement; hospitality; hotels; india; industry; marketing; operators; tour
• Justice beyond the Bench: The Impact of Mediation Courts on Family Law Disputes- A Study with Special Reference to District Jalandhar, Punjab by Harleen Kaur (2025) - This empirical study examines the effectiveness of mediation courts in family law matters in District Jalandhar, Punjab, using data from local mediation centres. Client Case Studies: Documentation of specific mediation cases handled, highlighting success stories, challenges, and the role of legal practitioners in facilitating settlements. Keywords: cases; court; disputes; family; india; law; litigation; mediation; resolution
• Legal Frameworks for Food Safety and Climate Change in India: an Analytical Study by Dileepkumar S (2025) - Introduction The confluence of food safety and climate change presents a critical challenge for India, a nation heavily reliant on agriculture and characterized by diverse climatic conditions. In a country where food security remains a pressing concern, ensuring the safety of the food supply is paramount.1 India’s legal and regulatory landscape for food safety, anchored by the Food Safety and Standards Act, 2006, and overseen by the Food Safety and Standards Authority of India (FSSAI), seeks to safeguard public health by regulating the food industry.2 Keywords: analysis; change; climate; climate change; enforcement; food; food safety; fssai; india; regulations; safety; standards
• The Influence of Colonial Legacies on Socio-Political Structures in Aravind Adiga’s Novel by Kriti Sharma (2025) - This topic is further contextualized by Partha Chatterjee's idea of colonial modernity, which holds that the modernization initiatives started by colonial powers were frequently insufficient and intended to achieve imperial objectives. No. ICMASD (2025) 1779 https://internationalpubls.com The Influence of Colonial Legacies on Socio-Political Structures in Aravind Adiga’s Novel Kriti Sharma Department of English, CT University, Ludhiana, India kriti94192@gmail.com Article History: Received: 12-12-2024 Revised: 25-01-2025 Accepted: 05-02-2025 Abstract: The novels of Aravind Adiga explore the sociopolitical landscape of modern-day India in great detail, emphasizing the long-lasting effects of colonial legacy. Keywords: adiga; india; postcolonial; tiger
• Cost-Benefit Analysis of Graphic Designing in Digital Marketing in the Academic Sector by Shikha Gambhir, Aditya Sharma (2025) - Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 1275 https://internationalpubls.com Cost-Benefit Analysis of Graphic Designing in Digital Marketing in the Academic Sector Shikha Gambhir1, Aditya Sharma2 1Research Scholar, TMIMT, Teerthanker Mahaveer University, Moradabad, INDIA, shikhag.computers@tmu.ac.in 2Professor, Management, Teerthanker Mahaveer University, Moradabad, India Article History: Received: 12-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract: This paper focuses on the importance of effective visual content used by digital marketing to deliver cost benefits to educational institutions and the use of various tools to facilitate and improve its creation. Graphic design is an essential element of digital marketing and is used as an important part of content strategy. Keywords: brand; content; design; india; internet; marketing; media; research; study; use
• Harnessing Artificial Intelligence to Combat Green Crimes: A Pathway to Sustainable Future. by Simran Kaler (2025) - However, that does not mean that India is not working towards AI infused technologies. Looking into these studies, it has shown that AI infused technologies will rather show a positive outcome in case of environmental protection than in any other field. Keywords: country; crimes; environment; india; intelligence; protection; technologies
• Post-Independent Agrarian Crises in Selected Indian Fiction by Rakesh Kumar (2025) - This quote highlights the economic struggles of rural farmers, linking them to the agrarian crisis caused by debt. Methodology: This study applies close textual analysis to present the socio-economic realities that surface during the post-independence period in India and particularly concerning agrarian crisis and how it hurts people residing in rural villages through the selected text. Keywords: crisis; farmers; india; kashi; kumar; land; reforms
• Controversial Cases Under the Fugitive Offenders Act in India: A Critical Analysis by Dheeraj A. S. (2025) - While his extradition order marked a symbolic victory for India, the prolonged battle reflects systemic issues—delays in legal processes, reliance on foreign courts’ interpretations of human rights, and difficulties in recovering stolen wealth. The slow pace of asset liquidation and legal challenges in multiple jurisdictions have hindered full restitution. Keywords: extradition; feoa; fugitive; india; mallya; offenders
• Simulation of Hemoglobin and Oxyhemoglobin Dynamics Using a Robust Computational Technique by R. Kasthuri (2024) - Mathematical model of hemoglobin oxygen saturation using continuous functions of pO2 and temperature. Svetina[5] investigated how haemoglobin surface density affects oxygen binding which in turn affects oxygen transport and release that reveals a new information on the connection between surface density, oxygen binding, and transport. Keywords: engineering; hemoglobin; india; mathematics; oxygen

• A New Modified Secant Condition for Non-linear Conjugate Gradient Methods with Global Convergence by Farhan Khalaf Muord (2024) - Figure 1: Number of iteration comparing bewteen New methods to standred methods Figure 2: Number of function evaluation comparing bewteen New methods to standred method Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 5s (2024) 380 https://internationalpubls.com 5. Keywords: condition; methods; vol; 𝑇 𝑦𝑘−1; 𝑠𝑘−1
• Using GeoGebra and SageMath to Assist Engineering Students in Tracing Different Curves and Solving Numerical Methods by Bhavna (2025) - It recommends using GeoGebra, SageMath programs for assisted instruction in the teaching and learning of mathematics, specifically for cases of numerical methods and Tracing the curve, respectively. Still for larger systems manual computation of iterations can be very difficult task.for ease of computations in this article we are using sagemath which is open source mathematical software and easily available on any device. Keywords: geogebra; methods; sagemath
• Advances in Topological Methods for Solving Nonlinear Partial Differential Equations by K.S. Krishnamohan (2025) - There are numerous theorems, among which this one is a primary tool of iterative solution methods (Aubin & Frankowska, 2009). 4.2 Topological Concepts The base fundamental concepts of topology used in this research are fixed point theory, degree theory as well as critical point theory. Keywords: analysis; degree; methods; pdes; point; solutions; theory; topological
• Analytical and Numerical Approaches to Solving Riemann Problems in Fluid Dynamics by J. Leo Amalraj (2025) - The research elaborates on the advantages and boundaries of analytical and numerical methods in Riemann problem solution for fluid dynamics applications. The ability of solver methods to detect distinct wave types is analyzed through the results presented in Table 2. Keywords: dynamics; fluid; hllc; methods; numerical; riemann; roe; solver; vol; wave
• Identification of Contaminants Present in Rainwater Collected from Ground Pit and its Removal by Punjab Singh (2025) - Reverse osmosis method is not useful for rainwater treatment as rainwater has very low TDS. But in case of rainwater treatment, TDS required to be increased as rainwater has very low TDS value. Keywords: carbon; color; conductivity; methods; months; osmosis; rainwater; tds; treatment; turbidity
• Numerical Accuracy of Euler-Maruyama and Milstein Methods for Solving Nonlinear Stochastic Differential Equation by Eram Naaz, Najmuddin Ahmad (2025) - 2.2 Euler Maruyama Method A simple technique to get approximate answers to stochastic differential equations is the Euler–Maruyama method. 2.3 Milstein Method The Milstein method is an advanced numerical method developed to improve upon the Euler–Maruyama method by adding an additional correction term from the second-order Itô- Taylor expansion for approximating solutions of stochastic differential equations (SDEs), hence achieving a strong convergence order of 1 [3], [6], [13]. Keywords: differential; equations; euler; maruyama; methods; milstein; stochastic; vol
• Numerical and Analytical Approaches to Fractional Quantum Mechanics by Vikas Kumar (2024) - 4. Theoretical Developments: Further theoretical advancements in fractional calculus itself, including the refinement of fractional derivatives and integrals, could provide a more solid foundation for FQM, enabling more precise and comprehensive modeling of quantum systems. The Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 4s (2024) 426 https://internationalpubls.com application of fractional calculus in quantum mechanics represents a significant shift in how researchers approach the study of quantum systems, providing a versatile tool for exploring the subtleties of quantum dynamics. Keywords: fqm; fractional; mechanics; methods; numerical; quantum

• Applications of Nonlinear Analysis in Engineering Design by Mewomo, Oluwatosin T. (2023) - 10-05-2023 Abstract: Nonlinear analysis plays a pivotal role in modern engineering design by addressing complex behaviors that linear models cannot capture. This article explores the mathematical foundations, methodologies, and real- world applications of nonlinear analysis, emphasizing its crucial role in optimizing and enhancing the design of complex engineering systems. Keywords: analysis; design; engineering
• A User Friendly Geopolymer Concrete Mix Design Procedure by Prashant G Sawarkar (2024) - Therefore, an attempt has been made to develop a mix design methodology for GGBS based geopolymer concrete. Owing to the environment friendly nature of geopolymer, the development of geopolymer based concrete has been on the fore-front of many research communities. Keywords: concrete; design; geopolymer; ggbs; mix; ratio; strength; 𝑆𝑆𝐶; 𝑉𝐹𝐴𝐶𝐴
• Design and Simulation of Subsonic Frequency, Frequency-Selective Circuit Using Active Inductor by Ramesh Krishna (2024) - C4 (nF) R1 (KΩ) R2 (KΩ) R3 (KΩ) R5 (KΩ) R6 (KΩ) 1. 19.80 2 1 3.6 3.6 3.6 7.40 500 2. 22.20 2 1 3.6 3.6 3.6 5.75 300 The quality factor Q of the simulated modified proposed active inductor circuit is computed using the equation (8), and this is implemented using the Python programming language. Active inductors are used in various applications, such as active filters, impedance matching, and simulation of inductive components in integrated circuits. Keywords: 19.80khz; analysis; circuit; design; frequency; inductor; tuning; value; vlf
• Non-Linear Approach to Revitalize Traditional Block Print with a Kurumba Motif by Vijayalakshmi Ravi, Dr. R.Sheela John (2025) - Objectives: This research aims to investigate and implement nonlinear analytical methodologies to rejuvenate traditional block printing, with a primary emphasis on pattern design. Objectives This research aims to investigate and implement nonlinear analytical methodologies to rejuvenate traditional block printing, with a primary emphasis on pattern design. Keywords: design; fractal; pattern; sierpiński; triangle
• Applications of Game Theory in Modern Economic Policy Design by D. Srinivasa Kumar (2025) - 01-03-2025 Abstract: Game theory, a mathematical framework for analysing strategic interactions, has emerged as a vital tool in modern economic policy design. This abstract explores the diverse applications of game theory within economic policymaking, emphasizing its relevance for understanding competitive behaviours, resource allocation, and negotiation strategies among various economic agents. Keywords: competition; design; economics; game; game theory; policies; policy; rate; tax; theory
• A Study on Wind Load Analysis of High Rise Building using CFD by Ranjeet Kumar Sahani (2025) - No. ICMASD (2025) 690 https://internationalpubls.com history which was “category 3” type hurricane and causing immense damage to building structures and more than 1900 deaths The evaluation of building structure under external load conditions was previously conducted using wind tunnel testing. Keywords: air; analysis; building; cfd; design; drag; figure; fluid; force; geometry; m/s; maximum; pressure; structure; summary =; triangular; wind
• Design & Analysis of Multistoried Residential Building (G+5) using ETABS software by Dwadasi Venkata Siddharth Rao, Honey Gaur (2025) - Whenever we think of Design and Analysis of residential building in 21st centaury one thing that comes in our mind is that construction of high rise building has been involved. Structure analysis and design are performed so as to identify that the structure is capable of resisting the applied load and will not fail throughout its life. Keywords: analysis; building; column; construction; design; etabs; software; structure
• Application of Nonlinear Analysis in Evaluating Additive Manufacturing Process for Engineering Design Features: A Study and Recommendations by Dama Y. B. (2024) - 3 Results and Discussion Challenges encountered with 3D printing engineering hole design features. 2 Materials and Methods For the 3D-Printing investigation of hole design features for additive manufacturing, different CAD software was employed to study. Keywords: additive; build; design; direction; features; figure; hole; manufacturing; printing; size
• Design of Ka-Band Microstrip Patch Antenna For Band-Ii 5g Applications by ArunFrancis G (2025) - Keywords–- Microstrip patch antennas, 5G, Ka-Band, gain, slot shapes, CST Studio Suite, bandwidth, directivity, radiation efficiency, mobile devices. No. 4s (2025) 670 https://internationalpubls.com S11 Parameter It should be noted that the S-parameters are of immense significance in evaluating microstrip antennas, especiallyin terms of impedance matching and signal reflection. Keywords: analysis; antenna; design; efficiency; ghz; microstrip; patch; radiation; vol
• Advanced Structural Design and Analysis of Skyscrapers Using STAAD Pro: A Study on Wind and Seismic Performance by Kanhu Charan Tandi, Somya pandey (2025) - A failure in structural design can lead to catastrophic consequences, including loss of life, economic damage, and public distrust. • STAAD Pro modeled these components using finite element plate elements for accurate stress distribution. Keywords: analysis; building; concrete; design; load; pro; shear; staad; structures; use; walls; wind
• Overview of Design for Testability, ATPG Flow, Pattern Generation and Translation by Sandeep Santosh (2025) - Scan In: While the design is in test timing mode, test patterns are loaded at this stage. ‘The loading of test patterns’ is the technical term for this procedure. Keywords: atpg; design; dft; figure; flip; mode; scan; test; testing
• Design and Optimization of Self-Healing Concrete Mix Proportions Using MATLAB by P.Neeraja S (2025) - Achieving desired properties like workability, strength, and durability requires Accepted: 05-01-2025 a systematic approach known as concrete mix design, which involves selecting suitable materials and determining their proper proportions. Concrete mix design is a critical process that entails selecting suitable ingredients and determining their proportions to achieve desired concrete properties. Keywords: concrete; content; design; input; mix; value; water

• Analysis and Implementation of Quantum Gates (X, Z, Y, Hadamard CNOT and CCNOT) by using matrices for Quantum Computing by Mohammad Rafeek Khan (2024) - Error mitigation approaches have been the subject of recent research aimed at increasing the accuracy of quantum gates, such as the X gate. = I Mt = M-1 Means, every matrices are sued in quantum gates are unitary. Keywords: algorithms; analysis; cnot; computers; computing; gate; quantum; qubit; |0⟩; |1⟩

• Political Communication Analysis: The West Sulawesi DPRD's Approach in Absorbing the Aspirations of Constituents in the Constituency by Muchsin Fadly (2025) - Overall, the application of political communication strategies by members of the West Sulawesi DPRD in recess activities shows that they adopt the principles of Contingency Theory by adjusting communication strategies according to the social, cultural, and needs of the local community. This diversity requires DPRD members to develop adaptive and contextual communication strategies so that people's aspirations can be properly accommodated in the legislation process. Keywords: communication; community; dprd; members; sulawesi; theory; west
• The Influence of Innovative Leadership, Organizational Trust, and Work Engagement on Principal Performance by Siti Hodijah (2025) - This study aims to analyze the influence of innovative leadership, organizational trust, and work engagement on the performance of school principals at the junior high school level in Bogor Regency. The low quality of education is partly influenced by the weak leadership of school principals in managing schools innovatively and strategically. Keywords: authority; communication; leadership; principals; trust; work
• The Impact of Interpersonal Communication by Functional Tax Extension Officers on Taxpayer Compliance: A Case Study at the South Makassar Primary Tax Office by Muhammad Azwar Maswar (2025) - The findings highlight that equality and positive attitude have the greatest influence on compliance, reinforcing the importance of fairness and encouragement in tax communication. Data were analyzed using IBM SPSS Statistics 25, incorporating validity, reliability, normality tests, and regression analysis to assess the influence of interpersonal communication on tax compliance. Keywords: analysis; communication; compliance; extension; interpersonal; makassar; officers; research; study; tax; taxpayers
• Impact of Social Media on Organizational Work Culture by Takhellambam Yaiphaba Singh (2025) - Received: 12-12-2024 Revised: 25-01-2025 Accepted: 05-02-2025 Abstract: The proliferation of social media has transformed the way organizations function, influencing workplace communication, collaboration, and overall work culture. This paper examines the impact of social media on organizational work culture by exploring both positive and negative consequences. Keywords: communication; culture; employees; engagement; media; organizations; platforms; workplace
• Inclination and Accession of Political Discourse by Malayaj Kumar (2025) - The primary function of political communication discourse, which is to be used as a tool for political power and to achieve this goal through power struggles, acquisition, maintenance, exercise, Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. ICMASD (2025) 2243 https://internationalpubls.com stabilisation, and redistribution, demonstrates the discourse's functional uniqueness in comparison to other discourse genres. 05-02-2025 Abstract: An overview of the primary inclination and accession in the study of political discourse is provided in this article. Keywords: analysis; communication; discourse; language; linguistics; speech
• Quad band Frequency Tunable Patch Antenna for Different Wireless Applications by Vijayluxmi (2025) - Keywords: Reconfigurable antenna, PIN diode, Cognitive radio, Tunable antenna, Multiband antenna. They make it promising to operate flexible across a range of frequency bands, which improve the use of spectrum and encourage compatibility between system types [1] Reconfigurable antennas improve performance parameters including impedance matching, gain, and efficiency by dynamically changing their configuration. Keywords: antenna; case; communication; diode; frequency; ghz; reconfigurable; vol
• The Impact of Leadership Communication on Staff Morale and Patient Outcomes in Healthcare Organizations by Sanjay Salunkhe (2025) - In healthcare setting, team leadership plays a basic role that ensures a high quality of care for patients. 11/06/2025 Abstract: A vital role is played by effective leadership communication to shape up the organizational culture, staff morale and ultimately patient outcome in healthcare settings. Keywords: communication; healthcare; leadership; patient; safety; staff; team

• Multi-Party Key Agreement Protocols using Conjugacy Search Problem in Five Dimensional Discrete Heisenberg Group by N. Sundarakannan (2024) - On knowing 𝑔1 , 𝐴1 computes 𝐾𝐴1 = 𝑔1 −1𝐾45 𝑔1. No. 6s (2024) 599 https://internationalpubls.com = (2, 2, 5, 1, 6) and sends it to 𝐴1 Computation of KEY: On knowing 𝑔1 , 𝐴1 computes 𝐾𝐴1 = 𝑔1 −1𝐾45 𝑔1 = (6, 5, 3, 3, 2)(2, 2, 5, 1, 6)(1, 2, 4, 4, 3) = (2, 2, 5, 1, 1). Keywords: key; 𝐴2 𝐴2; 𝐴3 𝐴3; 𝐴4 𝐴4; 𝐴5 𝐴5
• An Approach for Cipher Communication Utilizing the Concepts of Elliptic Curve Cryptography by S. Sarvalakshmi (2024) - ECC is more powerful and alternative technique of RSA, with a simple replacement of exponent calculations of large prime numbers to mathematical representation of Elliptic curve points. Keywords: Elliptic curve cryptography, Elliptic curve points, Encryption Decryption, Generator. Keywords: characters; cryptography; curve; key; points; text
• A Novel NTRU Cryptosystem with Gell Maan Matrix by Swati Verma (2025) - In our opinion, Gall Maan matrix makes the PKC more efficient as compare to invertible matrix because Gell Maan matrix is traceless Hermitian matrices consequently easily reducible. For this purpose he first randomly chooses two matrices f and g, where matrix f be an invertible matrix (modulo p). Keywords: key; matrix; ntru;  

• Nonlinear Dynamics of Complex Systems: Modeling and Analysis by C. Okeke, Chibueze (2023) - Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 30 No. 1 (2023) 1 https://internationalpubls.com Nonlinear Dynamics of Complex Systems: Modeling and Analysis Chibueze C. Okeke Division of Mathematics and Computer Science, National University of Singapore, Singapore Article History: Received: 20-02-2023 Revised: 12-04-2023 Accepted: 10-05-2023 Abstract: The study of nonlinear dynamics within complex systems has emerged as a pivotal field of research, with far-reaching implications across various scientific disciplines and practical applications. This article delves into the intricacies of nonlinear dynamics, focusing on modeling and analysis techniques that have revolutionized our understanding of complex systems. Keywords: dynamics; nonlinear
• Nonlinear Analysis of Structural Vibrations by Neugebauer , Jeffrey T. (2023) - Nonlinear vibration analysis of structures subjected to base excitation: A review. 3.3 Finite Element Analysis (FEA) FEA, coupled with nonlinear material models, allows for the analysis of complex structures subjected to nonlinear vibrations. Keywords: analysis; nonlinear
• Nonlinear Analysis of Chaotic Synchronization in Neural Networks by S. George, Djamila Seba, (2023) - Significance and Future Directions Nonlinear analysis plays a vital role in uncovering the intricate synchronization patterns in chaotic neural networks. It covers the mathematical foundations, methodologies, real-world applications, and the role of nonlinear dynamics in unraveling the complexities of neural network synchronization. Keywords: nonlinear; synchronization
• Stability Of Equilibrium States For A Stochastically Perturbed Pielou’s Equation [ by A. Lallouche (2024) - E-mail: meriem.tedj@gmail.com Article History: Received: 04-06-2024 Revised: 03-07-2024 Accepted: 30-07-2024 Abstract: It is widely recognized that the theory of stochastic difference equations is a mathematical area of great interest. Utilizing the general method of constructing Lyapunov functional for stochastic difference equations in discrete time, we establish necessary and sufficient conditions for the asymptotic mean square stability of the two equilibrium points (zero and positive). Keywords: difference; equation; equilibrium; nonlinear; stability
• A Nonlinear Analytical Approach to Social Dynamics: Modeling the Impact of Moderate Da’wah on Promoting Tolerance and Social Cohesion in Indonesia by test, Ifa Khoiria Ningrum (2024) - Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 3 (2025) 479 https://internationalpubls.com A Nonlinear Analytical Approach to Social Dynamics: Modeling the Impact of Moderate Da’wah on Promoting Tolerance and Social Cohesion in Indonesia Ifa Khoiria Ningrum1*, Nurul Musyafa'ah2, Fahru Rozi3, Nilna Indriana4, Muhammad Afthon Ulin Nuha5 1,2,3,4Universitas Nahdlatul Ulama Sunan Giri Bojonegoro 5Universitas Islam Negeri Sayyid Ali Rahmatullah Tulungagung Co-Email: nifakhoiria@unugiri.ac.id Article History: Received: 02-08-2024 Revised: 23-09-2024 Accepted: 05-10-2024 Abstract: This study applies a nonlinear analytical approach to examine the role of Daiyah Fatayat (DIFA) in promoting tolerance and moderate da’wah in Indonesia. Keywords: Nonlinear analysis, social dynamics, DIFA, moderate da’wah, tolerance, radicalization. Keywords: analysis; approach; da’wah; difa; nonlinear; q.s; tolerance; verses
• Nonlinear Analysis in Gaseous Dielectric Using Finite Element Method (FEM) by R Bharanidharan (2025) - • FEM nonlinear analysis guarantees an accurate representation of gaseous dielectrics such as SF₆ and its replacements under complicated electric field conditions. Keywords: Nonlinear analysis, Gaseous Dielectric, Finite Element Method 1. Keywords: analysis; dielectrics; field; nonlinear
• Applications of Partial Differential Equations in Fluid Physics by Swapna, Y. (2024) - 16-12-2023 Abstract: Partial differential equations, or PDEs, assume a critical part in grasping and outlining different fluid physics peculiarities. Partial differential equations are utilized to apply the developing methodology. Keywords: analysis; differential; differential equations; equations; fluid; mechanics; nonlinear; pde; pdes; string; vol
• Series Solution and Wave Solution of Time Fractional Generalized Korteweg-de Vries Equation by Mitu Nagpal (2025) - Section 6, Findings of series solution of KdV equation Section 7, Exact traveling wave solution of fractional KdV equation is provided in trigonometric form. J. S. Russell's (1834) provided the concept of KdV equations. Keywords: equation; kdv; nonlinear; vol; 𝐺′ 𝐺; 𝑮′ 𝑮
• Earthquake Impact Analysis on Open Ground Storey Framed Buildings by Vivek Singh, Swati Agrawal (2025) - The main story of OGS building is viewed as more defenseless when the ground story segments alone are planned with a MF of 2.5, 3.0 or more. In OGS buildings, where there are no infill walls in the ground story (no bracket activity), the ground story sections entirely resist the increased base shear, making heap sharing by adjacent infill walls impossible. Keywords: analysis; building; fragility; ground; infill; nonlinear; ogs; story; walls
• Computational Approaches to Fixed-Point Problems in Convex Metric Spaces: A Generalization of the Contraction Principle by Bhawna Malviya, Sanjay Choudhary (2024) - The renowned Banach Contraction Principle provides an elegant and powerful tool for guaranteeing the existence and uniqueness of fixed points for contraction mappings in complete metric spaces. Furthermore, in areas like game theory and economic modeling, the existence and computation of equilibrium points often reduce to finding fixed points of certain mappings, and the generalized contraction principles provide the theoretical underpinning for developing effective solution strategies. Keywords: analysis; contraction; mappings; metric; nonlinear; point; problems; spaces
• Symbolic Computational Algorithm for Hirota Bilinear Form to Higher-dimensional Nonlinear Partial Differential Equations in Nonlinear Sciences by Ankit Dadhich (2024) - Substituting the trial solution u = eξi into the linear part of Eq. (18), namely utt − uxx − uxxx = 0, leads to the relation di = √ µ2i + µ4i . The higher-order derivatives become uyt = 2 (hxyth+ hxyht − hxthy − hxhyt)h 2 − 2hht(hxyh− hxhy) h4 , uxz = 2 (hxxzh+ hxxhz − 2hxhxz)h 2 − 2hhz(hxxh− h2x) h4 , uxx = 2 hxxxh 3 − 3hxhxxh 2 + 2h3xh h4 , uxy = 2 (hxxyh+ hxxhy − 2hxhxy)h 2 − 2hhy(hxxh− h2x) h4 , uxxxy = 2 hxxxy h − 2 hxxxxhy h2 − 8 hxxxyhx h2 − 8 hxxxhxy h2 + 16 hxxxhxhy h3 − 12 hxxhxxy h2 + 12 h2xxhy h3 + 36 hxhxyhxx h3 + 18 h2xhxxy h3 − 54 h2xhxxhy h4 Keywords: bilinear; equation; form; hirota; nonlinear; transformation; u =; vol

• A Novel Application of Temporal Intuitionistic Fuzzy Hypergraphs in Mobile Networks by S.Jagadeesan (2024) - Keywords: Intuitionistic fuzzy hypergraph, Temporal intuitionistic fuzzy hypergraph, dual intuitionistic fuzzy hypergraph. A, The using of fuzzy temporal graphs as the modeling in GIS, Izvestiya UFY. Keywords: hypergraph; set
• A Study On Job Change Decision Making Of Peoples By Multi Objective Optimization Technique In Neutrosophic Environment by C. Jayabharathi (2024) - Then, neutrosophic fuzzy set is Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 Fuzzy multi-objective decision making is useful in determining the set of elements that explain an individual's choice of profession, as well as in determining his or her preferences for a particular job and selecting the best option that best suits their needs overall. Keywords: fuzzy; neutrosophic; objective; set; 𝐵𝑛+1
• On Beta Generalized Star Pre-I-Closed Sets in Ideal Topological Spaces by S. Gowri (2024) - [20] M. K. R. S. Veerakumar, Between closed sets and g-closed sets, Mem. Fac. Take M = {u} and N = {v} be closed sets similarly their union M ∪ N = {u, v} are also βg*p-closed set. Keywords: set
• Bipolar Vague α Generalized Continuous Mappings in Topological Spaces by F. Prishka (2024) - Keywords: Bipolar vague sets, bipolar vague topology, bipolar vague 𝛼 generalized closed sets, bipolar vague 𝛼 generalized continuous mappings and bipolar vague 𝛼 generalized irresolute mappings. Received: 10-06-2024 Revised: 10-07-2024 Accepted: 30-07-2024 Abstract: In this paper we have introduced bipolar vague 𝛼 generalized continuous mappings in topological spaces and investigated some of their properties. Keywords: set; vague
• Introduction to RG-Closed Type Sets in Topological Ordered Spaces by G. Sravani (2024) - This new class of sets is formed by generalizing closed sets using rg-open sets in topological ordered spaces. Notably, rg-closed sets strictly lie between the classes of closed sets and rg-closed collections in topological ordered spaces. Keywords: set
• A New Inventive Approach to Nano Fuzzy Soft Topological Space Using Mathematical Analysis by J. Nirmala (2024) - Nano soft sets and Nano soft topological space were introduced and analysed by M. Lellis Thivagar and S. P. R. Priyalatha The elements of the NFSTS that is ( )( )Af ~ τ~  , are called Nano fuzzy soft open sets and elements of ( )( )cAf ~ τ~  are called Nano fuzzy soft closed sets. Keywords: fuzzy; nano; nfcl; set
• Study on Concepts of Domination in Fuzzy Graphs by Ann Mary Joyson (2024) - In this research article we have studied and examined few new theoretical concepts of domination in fuzzy graphs. Keywords: Fuzzy; Fuzzy graphs; domination; graph. Keywords: fuzzy; set; vertex; 𝑉 −; 𝑉 𝐷
• Generalized Pre-semi Homeomorphisms in Intuitionistic Fuzzy Topological Spaces by R. Revathy (2024) - Then q be Intuitionistic Fuzzy generalised pre- semi homeomorphisms except Intuitionistic Fuzzy homeomorphisms. Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 2 (2025) 167 https://internationalpubls.com Generalized Pre-semi Homeomorphisms in Intuitionistic Fuzzy Topological Spaces R. Revathy1, P. Thirunavukarasu2 1Part Time Research Scholar, PG & Research, Department of Mathematics, Thanthai Periyar Government Arts & Science College, Thiruchirapalli, Tamil Nadu , India (Affiliated to Bharathidasan University) e-mail:rrevathy085@gmail.com 2Assistant Professor, PG & Research Department of Mathematics, Thanthai Periyar Government Arts & Science College, Thiruchirapalli, Tamil Nadu , India. Keywords: fuzzy; pre; set
• On Slightly Delta Generalized Pre-Continuous Functions by J.B.Toranagatti (2024) - [3] S.S.Benchalli and J.B.Toranagatti, Delta generalized pre-closed sets in topological vspaces,International Journal of Contemporary Mathematical Sciences,Vol.11,pp.281-292,2016. (iii) co-regular[5](resp,strongly δgp-regular) if for each clopen(resp, δgp-closed) set B and each x ∉ B,there exist disjoint open sets M and N such that B ⊂ M and x∈ M. (iv) mildly compact[12]( δgp-compact[17]) if every clopen(resp, δgp- cover of X has a finite sucover (v) δgp-connected[16] if X is not the union of two disjoint nonempty δgp-open sets. Keywords: open; set; δgp
• NEW FORM OF SOFT SETS AND ITS PROPERTIES by Basavaraj M Ittanagi (2024) - er1 ew1 eb2 em2 eci2 Find the requirements of customers by using the formula Requirement = ⋂ {fA(parameter)}customer requirement = ⋂ α∈A {fA(α), α ∈ requirement parameter } Officers requirement = ⋂ {fA(parameters)}requirements = ⋂ α∈A {fA(α), α ∈ requirements parameters} = ∩ (near by office) ∩ (near by school) ∩ (medium dimension) ∩ (granite type) ∩ (east facing) ∩ (wide road) ∩ (sufficient water facility) = ∩fA(eo1) ∩ fA(es1) ∩ fA(ed2) ∩ fA(et2) ∩ fA(ef1) ∩ fA(er3) ∩ fA(ew3) = ∩{h3, h5, h7, h8, h9, h12} ∩ {h3, h5, h7, h8, h9, h12} ∩ {h3, h5, h7, h8, h9, h12} ∩{h2, h3, h4, h5, h6, h7, h8, h9, h11, h12, h13, h14}∩{h3, h4, h5, h7, h8, h9, h12, h13} ∩{h2, h3, h4, h5, h6, h7, h8, h9, h11, h12, h13, h14}∩{h2, h3, h4, h5, h6, h7, h8, h9, h11, h12, h13, h14} = {h3, h5, h7, h8, h9, h12} Officers customers can select their own house which meets their require- ments by using swarm set, because each house information is available. The complement of a soft set (F,A) is denoted by (F,A)C and is defined by (F,A)C = (FC ,¬A), where FC : ¬A → P (U) is a mapping given by FC(α) Keywords: set; swarm
• Accurate Domination in Fuzzy Digraphs using Strong Arc by S.Sureka (2024) - The concept of fuzzy graph was introduced by A.Rosenfeld in 1975 Fuzzy graphs apply the principles of fuzzy sets to graphs allowing the edges and nodes to have degree of membership between 0 and 1. Keywords: digraph; dominating; set
• Relatively Prime Domination Number in Quadrilateral Snake Graphs by A. Anat Jaslin Jini (2024) - ∗Corresponding author: anatjaslin@holycrossngl.edu.in Article History: Received: 23-09-2024 Revised: 04-11-2024 Accepted: 18-11-2024 Abstract: A set 𝑆 ⊆ 𝑉 is said to be relatively prime dominating set if it is a dominating set with at least two elements and for every pair of vertices 𝑢 and 𝑣 in 𝑆, (deg(𝑢) , deg(𝑣)) A set S V is said to be a relatively prime dominating set if it is a dominating set and for every pair of vertices u and v in S such that (d(u), d(v)) Keywords: dominating; set; vertex; vertices
• Open Maps via δ-open Sets in Pythagorean Fuzzy Topological Spaces and its Applications by A. Vadivel (2024) - Fuzzy sets are generalized classical sets, since the indicator function of classical sets is special cases of the membership functions of fuzzy sets, if the latter only take values 0 or 1. Also, we have tried to diagnosis Covid-19 with the help of Pythagorean fuzzy sets which helps to record all symptoms in précised manner. Keywords: covid-19; fuzzy; let; set
• New Operators using Β-Open Sets in a Quadripartitioned Neutrosophic Topological Spaces by Mohanarao Navuluri (2024) - Now, Q-NsβExt((Q-NsβExt(A))c) = Q-NsβExt((Q-Nsβint(Ac))c) = Q- Nsβint((((Q- Nsβint(Ac))c))c) = Q-Nsβint (Q-Nsβint(Ac)) = Q-Nsβint(G). Keywords: neutrosophic; set; theorem
• More on Contra Β-Open Mappings in a Quadripartitioned Neutrosophic Topological Spaces by Mohanarao Navuluri (2024) - Q-NsSCts, Q-NsPCts, Q-NsbCts & Q-NsβCts)) A bijection K : (Z1, ΓQ) (Z2, σQ) is called a quadripartitioned neutrosophic β- Completely homeomorphism (briefly, Q-NsβCHom) if K and K−1 are Q-NsβIrr mappings. Keywords: neutrosophic; set
• Point Set Neutrosophic Domination in Single Valued Neutrosophic Graph by R. Poornavalli (2025) - In this proposed work, the definition of point set neutrosophic domination number is defined with appropriate examples and few theorems and bounds on point set domination in neutrosophic graph are developed. If no proper subset of point set domination set 𝐷 is point set domination set, then 𝐷 is said to be minimal point set domination in neutrosophic graph 𝐺 Theorem 3.13. Keywords: graph 𝐺; point; set
• CO- Total 2- Oded Number in Graphs by T. Sindhuja, V. Maheswari, V. Balaji (2025) - = |𝑁(𝑣2) ∩ (𝑉 − 𝐷)| = |{𝑣𝑛+1, 𝑣𝑛+2}| = 2 and 𝑜𝑑𝐷(𝑣𝑛−1) = |𝑁(𝑣𝑛−1) ∩ (𝑉 − 𝐷)| =|{𝑣2𝑛−2, 𝑣2𝑛−1}| = 2 . Email: pulibala70@gmail.com Article History: Received: 12-11-2024 Revised: 17-12-2024 Accepted: 06-01-2025 Abstract: Let D be a subset of V and 𝑢 ∈ 𝐷 the out degree of u is defined by |𝑁(𝑢) ∩ (𝑉 − 𝐷)| and denoted by 𝑜𝑑𝐷(𝑢). Keywords: set; vertices; − 𝐷)|; 𝑉 −
• Altering Point Results involving C-Class Functions in Partial Metric Spaces by Abdessalem Benterki (2024) - In many distinct abstract spaces, diverse results about fixed points, common fixed points, coincidence points, altering points, and so on for single-valued and set-valued https://internationalpubls.com Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 2 (2024) 182 mappings have been investigated for various contractive conditions, and this tradition continues. The key idea is to use the properties of -class functions to establish the existence of a sequence of points that converge to the altering point, thereby demonstrating the existence of such points in the first place. Keywords: analysis; metric; point; set
• Homeomorphism via δβ-open Sets in Fermatean Fuzzy Topological Spaces and Application in Entropy Measure by A. Vadivel, V. Sagunthaladevi, S. Priya (2025) - Fuzzy sets are generalized classical sets, since the indicator function of classical sets is special cases of the membership functions of fuzzy sets, if the latter only take values 0 or 1. To register importance of Fermatean fuzzy sets we applied a proposed entropy measure for multiple criteria decision making problem. Keywords: fuzzy; set; ℎ𝔉 −1(𝐾; −1(𝐾
• More on Contra Continuous, Irresolute Maps in Pythagorean Fuzzy Nano Topological Spaces and Application in MCDM by K. Balasubramaniyan (2025) - Fuzzy sets, intuitionstic fuzzy sets and Pythagorean fuzzy sets emerged one by one and many literature are adding on every day. [30, 27] and also flagged approach to study Pythagorean fuzzy sets. Keywords: fuzzy; let; set; ℎ𝑃 −1(𝐾; −1(𝑆; 𝒫ℱ𝔑(𝐴2
• The Non Split Eccentric Domination Number of Corona Product and Join of Some Standard Graphs by Sudhasenthil, N.Anbarasi (2024) - D = {v1, v5, v6} is an eccentric dominating set and also nonsplit eccentric dominating set. [11] and in 2000 [12] M. Bhanumathi and Sudhasenthil introduced the cocept of split and nonsplit eccentric domination number of a graphs in 2014 Keywords: dominating; set
• Complementary Tree Domination Number of Corona Product of Complete graph with Some Graphs by S. Jayalakshmi, P. Vidhya (2024) - Then V (Kn ◦ G) − D = V (K2) ∪ D1 and each vertex in V (K2) is adjacent to m−β0 vertices in a copy of G. Also, each vertex in D1 is adjacent to atleast m−β0 vertex in a copy of G. Let V (Kn) = {vi /1 ≤ i ≤ n} and V (Wm) = {c, uj /1 ≤ j ≤ m − 1} and V (Kn ◦Wm) = {v1, v2, . . . Keywords: set
• Multi-Criteria Decision Analysis for Wastewater Management using Neutrosophic Hypersoft Sets by Mythili S, Arokialancy A (2025) - Keywords: Neutrosophic hypersoft set, wastewater management, multi-criteria decision- making, TOPSIS, neutrosophic topology. Step 4: Now, apply TOPSIS for neutrosophic hypersoft sets. Keywords: decision; hypersoft; set; sets; waste
• Rough Set Analysis for Categorizing Motorcycles based on 100 Cubic Centimeters (CC) Engine Displacements by R. Venmani (2024) - Introduction In decision-making and data analysis, rough set theory provides a mathematical framework for handling ambiguity and uncertainty. Based on the comparable classes produced by the attribute values, rough set theory divides into three regions: boundary, lower approximation, and upper approximation. Keywords: analysis; attributes; set; table
• Edge binary coding of Cayley network by R. Radha, N. Mohamed Rilwan (2024) - Edge binary coding on Cayley graph For convenience, the vertex set 𝑉(𝒢) contains the elements of a finite group 𝛤 and the edge set 𝐿(𝒢) can be split into the sets N and 𝑆 whose edges are generated by the non-self inverse elements and self inverse elements of 𝛤 respectively. Conclusion Basically, Cayley graphs are the good network model, by implementing this edge binary encoding analogue on any practical problem, whose configuration resembles the Cayley graph at that instance, multiple non-binary output can be gained by the polynomial time algorithm as a decoder. Keywords: function ℱ; set; 𝐿(𝒢
• A Study about Isolate Domination & Isolate Inclusive Set in Graphs by Niketa J. Savaliya, Mital Patel (2024) - Now M is a subset of G − v & it is also an Isolate inclusive set of G − Suppose T is a set of vertices of G − v such that |T| = γ0(G) and suppose T is a minimum isolate dominating set of G − v . Keywords: isolate; set; γ0(g

• Multi-Bipolar Fuzzy Planar Graphs by K. Rama Kishore (2024) - In this research, we apply the idea of m-bipolar fuzzy set to multigraph and planar graph because m-bipolar fuzzy sets have shown advantages over bipolar fuzzy sets in addressing ambiguity and uncertainty to some extent. A region enclosed by m-BPF lines is known as the face of an m-BPFPG. Keywords: bpf; fuzzy; 𝑃ℎoγ+; 𝑃ℎoψr +; 𝑃ℎoψr −(𝜄𝜅)𝑢; 𝑅 =
• Homomorphism of Tripolar Fuzzy Soft Ternary Γ-Semiring by E. Meera Prasad (2024) - Keywords: Soft set, fuzzy Soft set, tripolar fuzzy soft set, tripolar fuzzy soft ternary Γ−Semiring, tripolar fuzzy soft ideal, tripolar fuzzy soft ternary Γ−Semiring homomorphism. Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 7s (2024) 446 https://internationalpubls.com 3: Homomorphism in tripolar fuzzy soft Ternary Γ−semiring: In this section the homomorphism concept over TFSTGSR is introduced and studied their properties. Keywords: fuzzy
• Pythagorean Fuzzy Ideals in Semiring by J. Jayaraj (2024) - 03-11-2024 Abstract: In this paper, we introduce the notion of Pythagorean fuzzy ideals in semiring some interesting properties, results are discussed in this paper. A fuzzy ideal of a semi-ring 𝑆 is a nonempty fuzzy subset of 𝑆 which is both a fuzzy left ideal and a fuzzy right ideal of 𝑆. 3 Pythagorean fuzzy ideals in semiring Keywords: fuzzy; pythagorean
• A Novel case on Fuzzy Resolving Sets on Interval-valued Fuzzy Graph and its Application on Signal Processing Unit by R. Shanmugapriya (2024) - We have defined Fuzzy Resolving Set to interval- valued fuzzy graphs such as interval-valued fuzzy resolving set and interval-valued fuzzy super resolving set. IVFGs represent uncertainty in the degree of membership of vertices and edges using intervals, as opposed to standard graphs or fuzzy graphs, where memberships are discrete or single values. Keywords: fuzzy; rk+i; φ(r
• Applications and Future Directions of Fuzzy BRK Topological Groups in Mathematics and AI by S.Kousalya (2024) - This paper has explored the theoretical foundations of fuzzy BRK topological groups, drawing from earlier works on fuzzy sets, fuzzy topological groups, and BRK-algebras. Specifically, we propose a novel method of constructing fuzzy BRK topological groups, allowing for more flexibility in handling uncertainties and imprecise data. Keywords: brk; fuzzy; topological; 𝐺𝑡.⋆
• Multi Fuzzy Iterated Function System Consisting of Generalized Fuzzy Contraction Mapping in Fuzzy Metric Spaces by S. C. Shrivastava (2024) - Then (𝒦(𝒳), Hd̅) is said to be a multi fuzzy fractal space with metric Hd̅ represented as Hd̅(𝒜, 𝔅) = max j=1,2,−−−,N {Hdj (Aj, Bj)} for 𝒜, 𝔅 ∈ 𝒦(𝒳), where 𝒜 = (A1, − − −−, AN) and 𝔅 = (B1, − − −−, BN), Hdj is Hausdorff distance between two sets Aj and Bj. Theorem2.2[42]: (𝒦(𝒳), Hd̅) be a complete metric space iff (𝒦(Xj), Hdj ) , where j = 1, − − −, N is a complete metric space. Definition 2.9[36]: The system {Xj, j = 1, − − −−, N; wij l : Xj → Xi, l = 1, − − −, mijandi, j = 1, − − −, N} is multi iterated function system with contractivity factor ratios = ma x{sij l , l = 1, − − −−, mij and i, j = 1, − − −−, N} for complete metric space (Xj, dj), j = 1,2, − − −−, N and contraction mapping wij l : Xj → Xi , l = 1, − − −, mij and i, j = 1, − − −, N. Definition 2.10[36]: Let in a complete metric space (Xj, dj), j = 1,2, − − −−, N, Xj, j = 1,2, − − −−, N; wij l : Xj → Xi, l = 1, − − −−, mij and i, j = 1, − − −−, N} be an Multi Iterated Function system. Keywords: fuzzy; metric; space; − −; − −−; 𝒦(𝒳
• GRA Approach for the Solution of Mitigating Air Pollutant Emissions from Animal Barns with the Help of fuzzy Knowledge Measure by Anirudh, (2025) - At the same time, the contradiction to the above belief, knowledge get measured with the help of knowledge measure that termed as reverse of fuzzy information measure or uncertainty. For this problem various methods are compared that can resolve this problem and a knowledge measure based on fuzzy sets for managing ambiguity and uncertainty in real life problems. Keywords: analysis; fuzzy; knowledge; measure; vol; ∈ 𝑃; 𝑅𝐻 1𝑌(𝑄; 𝑌𝐵(𝑄; 𝑌𝑃 𝛽; 𝑌𝑃 𝛽,𝛾; 𝜇𝑄(𝑝𝑖
• A Study on Performance Measure of FM/FD/1 Queueing Problem using LR-type Trapezoidal Fuzzy Numbers by LR Method by S. Vijaya (2025) - A numerical illustration has been analysed and solved in this model using trapezoidal fuzzy numbers of LR type by LR method and taken for comparison with DSW(Dong, Shah & Wong) Algorithm. Keywords: Fuzzy Queueing, system performance measure, LR method, LR- type Trapezoidal fuzzy numbers. Keywords: fuzzy; queueing
• Solving the Type 2 Trapezoidal Intuitionistic Fuzzy Fractional Transportation Problem Using the Diagonal Optimal Approach by K. Senbagam, (2025) - iii) Multiplication: �̂� ∗ �̂� = {(𝑚1 ̍ ∗ 𝑝1 ̍, 𝑚2 ̍ ∗ 𝑝2 ̍, 𝑚3 ̍ ∗ 𝑝3 ̍, 𝑚4 ̍ ∗ 𝑝4 ̍) (𝑛1 ̍ ∗ 𝑞1 ̍, 𝑛2 ̍ ∗ 𝑞2 ̍, 𝑛3 ̍ ∗ 𝑞3 ̍, 𝑛4 ̍ ∗ 𝑞4 ̍); ξ, ψ} where ξ = min (𝜉𝐴, 𝜉𝐵) and 𝜓 = max (𝜓𝐴, 𝜓𝐵). There exist r1 ∈ R, µ�̂�(r1) Keywords: fuzzy; transportation; ̂ �; � ̂
• Impact Fuzzy Ideal Extension in Terms of Gamma Semigroup by Vasantha.Gadipally (2025) - This extension is significant as it provides a new perspective on the properties and extensions of fuzzy semigroups. Using these notions, we consider characterisations of sub-semigroups and extensions of fuzzy semigroups. Keywords: fuzzy; ideal; semigroup; ∈ 𝑆
• Picture Fuzzy Set with Disaster Management & Decision Making by Measures by B. Maheswari, V. Chitra, (2024) - 18-12-2023 Abstract: Picture fuzzy sets are extension of intuitionistic fuzzy sets. In this research, we introduce the refusal membership grade for picture fuzzy sets in the implementation of similarity measure, correlation coefficient and Distance based Similarity Measure in the application of disaster management. Keywords: analysis; correlation; disaster; fuzzy; measure; membership; picture; response; sets
• Fermatean Fuzzy Transportation Problems for Finding an Optimal Solution based on a Score function with Decision Making by K. Senbagam (2025) - [3] Amarpreet kaur and amit kumar (2012) a new approach for solving fuzzy transportation problems using generalized trapezoidal fuzzy numbers, applied soft computing 12: 1201-1213. Therefore, issue with fermatean fuzzy transportation that occur in practical application can be solved using this methodology. Keywords: cost; demand; fermatean; ffszm; ffvam; fuzzy; solution; supply; transportation
• A Fermatean Fuzzy Environment is used in Transportation Problems to Extend a New Score Function by M Sngeetha, T. Mummoorthy (2025) - 𝐹 𝐹 𝐹 𝐹 𝐹 In this instance. 𝐹 𝐹 1𝐹 Again, 𝜌3 + 𝜏3 ≤ 1 𝐹 𝐹 ⇒1 + 𝜌3 + 𝜏3 ≤ 2 𝐹 𝐹 ⇒1 + 𝜌3 − 𝜏3 ≤ 2 as 𝜏3 ≥ 0 𝐹 𝐹 𝐹 3 3 𝐹 𝐹 ≤ 1 and 𝑆 (𝐹) ≤ 1. 2 𝐹 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 Keywords: decision; ffs 𝐹; fuzzy; iff 𝐹; making; transportation; 𝐹 1̂; 𝐹 1𝐹; 𝐹 communications; 𝐹 x13=0.0.597; 𝐹 x13=0.2065; 𝐹 ̂; 𝐹 𝐹; 𝐹 𝑆∗; 𝜏 𝐹
• An Innovative Distance Measure for Picture Fuzzy Sets and Applications in Medical Diagnosis and Pattern Analysis by Satpal Singh, Satish Kumar (2025) - So picture fuzzy distance measure 𝑀𝑆𝐵(𝐹1, 𝐹2) ≤ 𝑀𝑆𝐵(𝐹1, 𝐹3), also we can see that 𝑀𝑆𝐵(𝐹2, 𝐹3) ≤ 𝑀𝑆𝐵(𝐹1, 𝐹3) which shows picture fuzzy distance measure 𝑀𝑆𝐵 is an effective PIFSs measure of distance. [33] L. H. Son, “Measuring analogousness in picture fuzzy sets: from picture distance measures to picture association measures,” Fuzzy Optim. Keywords: fuzzy; 𝐹1 𝑀𝑆𝐵; 𝐹1 𝑀𝑑17; 𝐹1 𝑀𝑑5; 𝑀𝐺 𝑀𝑆𝐵
• A Smart Technique Approach in Picture Fuzzy Schweizer-Sklar Power Geometric Aggregation Operators for Enhancing Road Construction Companies through Group Decision-Making by T. Yogashanthi, K. Deva (2025) - 𝛽 − ∑𝑗=1 𝑚  �̆�𝑗 + 1) 1 𝛽 , (∑𝑗=1 𝑚  �̆�𝑗𝜂𝑗 𝛽 − ∑𝑗=1 𝑚  �̆�𝑗 + 1) 1 𝛽 , (∑𝑗=1 𝑚  �̆�𝑗𝜈𝑗 𝛽 − ∑𝑗=1 𝑚  �̆�𝑗 + 1) 1 𝛽 + (�̆�𝑚+1𝜇𝑚+1 𝛽 − �̆�𝑚+1 + 1) 1 𝛽, 1 − (�̆�𝑚+1(1 − 𝜂𝑚+1)𝛽 − �̆�𝑚+1 + 1) 1 𝛽, 1 − (�̆�𝑚+1(1 − 𝜈𝑚+1)𝛽 − �̆�𝑚+1 + 1) 1 𝛽⟩ = ⟨(∑𝑗=1 𝑚+1  �̆�𝑗𝜇𝑗 𝛽 − ∑𝑗=1 𝑚+1  �̆�𝑗 + 1) 1 𝛽1 − (∑𝑗=1 𝑚+1  �̆�𝑗(1 − 𝜂𝑗) In order to prove Equation 6, we first prove that when �̆� = (�̆�1, �̆�2, … , �̆�𝑛)𝑇 is any value, i.e. without any constraint for �̆�, the following equation is right: PFSSPWG(𝛼1, 𝛼2, … , 𝛼𝑛) Keywords: decision; fuzzy; operators; picture; ̆ �; − �; � ̆; � 𝑗; � 𝑗(1; 𝛽 −
• Neutrosophic Fuzzy α Composition by R. Vijayalakshmi (2025) - × Z be the two fuzzy relations, S(Q) be the set of fuzzy relations Q ∈ Y × Z be the two fuzzy relations, the set of fuzzy relations Q ∈ Y × Z such that R ◦ Q ⊆ T contains a greatest element R−1@T. Communications on Applied Nonlinear Analysis ISSN: Keywords: fuzzy
• Singularly Perturbed Initial Value Problem for First Order Delay Differential Equation Magdm Problem using a Magdm Problem by Manjumari M (2025) - [11] E.Szmidt, and J.Kacprzyk, Using intuitionistic fuzzy sets in group decision making, Control and Cybernetics 31(2002), 1037–1053, DOI: 10.1002/mp.17313ISBN: 2473-4209 [14]Z.SXu, and R.RYager, Dynamic intuitionistic fuzzy multi-attribute decision making, International Journal of Approximate Reasoning,48(2008),246–262, doi:10.1016/j.ijar.2007.08.008 Keywords: decision; fuzzy; sets
• Comparison of Fuzzy Multi Criteria Decision Making Approaches for Supplier Selection by Sindhu. R. Dhavale (2025) - Objectives • To apply fuzzy AHP, fuzzy SWARA, and fuzzy TOPSIS methods for supplier selection, using both numerical data and linguistic evaluations from decision makers in an uncertain and competitive supply chain environment. • Computation of fuzzy criterion weights Finally, I derive the fuzzy weight of each criterion by multiplying its fuzzy geometric mean by the reversed summation vector. Keywords: ahp; analysis; chain; criteria; criterion; decision; fuzzy; selection; step; supplier; supply; swara; table; topsis; vol; weights
• Fuzzy Soft Paranormal Operator in Fuzzy Soft Hilbert Space by A Radharamani (2024) - Fuzzy soft Normal Operator Let �̃� be an FS Hilbert space and ₮̃ ∈̃ �̃�(�̃�) . if ₮̃ =̃ ₮̃∗̃ Definition 2.9: [14] Fuzzy soft isometry operator Let �̃� be an FS Hilbert space and ₮̃ ∈̃ �̃�(�̃� ) . Keywords: fuzzy; operator; ̃ �; � ̃; 𝑙𝜂ɠ(𝑒
• Solving Fuzzy Assignment Problem of Pythagorean Fuzzy Numbers Exploiting a Software Tool by K. Senbagam (2024) - Mathematical formulation of Pythagorean fuzzy assignment problem as, Maximize/Minimize 𝒵~= ∑ ∑ ℂ~𝑘𝑙𝕏 ~ 𝑘𝑙 𝑚 𝑙=1 𝑚 𝑘=1 →(1) Subject to ∑ 𝕏~𝑘𝑙 𝑚 𝑙=1 Keywords: Maximization pythagorean fuzzy assignment problem , Fuzzy sets, Triangular pythagorean fuzzy numbers, Ranking function, Software tool 1. Keywords: assignment; fuzzy; problem; pythagorean; 𝔮11; 𝔮12; 𝔮21; 𝔮22
• Analysis of Non-Linear Dynamic Characteristics of Fuzzy-Based SRM Drive for Electric Vehicle Applications by N Padmavathi (2024) - No. 2s (2024) 170 https://internationalpubls.com Fig.6 Comparison between torque variations in conventional and Fuzzy Based SRM Control drive The results of fuzzy based SRM Drive and comparison between the Total Harmonic distortion of conventional and fuzzy based SRM drive is discussed. Various hybrid controllers are designed for SRM torque ripple minimization. Keywords: analysis; controller; drive; fuzzy; motor; reluctance; ripple; srm; torque
• Comparative Analysis of Fuzzy Dagum Hazard Function Approaches for Estimating Failure Rates by Vidya P (2024) - To determine membership, using level of α-cut of the shape parameter approach and estimate formula for failure number from the second method. Keywords: Dagum hazard function; TrFN; Failure number; GMDF; α-cut of FN. Keywords: failure; function; fuzzy; number; parameter; shape
• Modelling Neutrosophic Agility Index: A Mathematical Framework by M. Kavitha (2024) - 22-06-2024 Abstract: Introduction: This study uses a fuzzy-based methodology that combines agility score and certainty functions to assess the values of learning mathematics quickly. Conclusion: In conclusion, the study is represented by agility scores corresponding to specific values. Keywords: agility; analysis; certainty; decision; fuzzy; index; making; score; values
• Theoretical Foundation, Topological Technique, and Decision-Making Application of Intuitionistic Fuzzy D-Algebra by M. Siva (2024) - This innovation paved the way for further advancements, such as the introduction of intuitionistic fuzzy sets in 1986. Intuitionistic fuzzy sets extend the concept of fuzzy sets by incorporating a degree of non- membership alongside the degree of membership [7]. Keywords: algebra; algebraic; degrees; elements; fuzzy; membership; operation; sets

• Scleral Lens Insertion and Removal Techniques: A Systemic Review by Aditya Goyal (2025) - A variety of techniques are employed for scleral lens insertion and removal. Conclusion: The choice of scleral contact lens insertion and removal technique depends on individual patient needs, dexterity, and clinician guidance. Keywords: contact; handling; insertion; lens; patient; removal; scleral; techniques

• Heat Transfer in A Non-Uniform Channel Under the Action of Peristalsis by Suresh Chelikani (2024) - Z variation with P (For E = 3, R = 5, δ = 0.1, ε = 0.1, K = 0.1, t = 0.4) Communications on Applied Nonlinear Analysis ISSN: Z variation with E (For P = 3, R = 5, δ = 0.1, ε = 0.1, K = 0.1, t = 0.4) x R 1 3 5 7 9 0 -0.699 -0.2262 Keywords: channel; fluid; temperature
• Analyzing the Heat Treatment Flaws in Carbon Steel by Hussein M. Ali, Ayman S. Rashad (2025) - This work investigates the typical flaws in carbon steel heat treatment techniques by looking at variables like temperature variances, cooling rate differences, and chemical reactions during treatment. Through this research, the types of carbon steel were identified, which included three types with the percentage of carbon that ranges in it. Keywords: carbon; flaws; hardness; heat; process; steel; temperature; treatment
• Synthesis and Characterization of CO3O4 Nanoparticles Using Microwave-Assisted Method by S Sumathy (2025) - CO3O4 nanoparticles are exceptionally cost-effective and highly stable conductive materials featuring a broad bandgap. https://doi.org/10.1039/D0GC00885K [4] “Synthesis and electrochemical properties of Co3O4 nanoparticles by hydrothermal method at different temperatures” Qiuyan Duan , Haiyan Chen, Materials Science and Engineering, 207, (2017), 1-7. http://10.1088/1757-899X/207/1/012020 Keywords: analysis; co3o4; cobalt; figure; materials; microwave; nanoparticles; oxide; synthesis; temperature
• Thermal Properties of Concrete Prepared with Water Absorbing Beads by Sarvesh Kumar (2025) - [26] Li, J. R., Kazmi, S. M. S., Wang, X., & Wu, Y. F. (2024). https://doi.org/10.1016/j.jmrt.2024.11.040 [15] Eisa, M. S., Basiouny, M. E., & Fahmy, E. A. (2022). Keywords: beads; concrete; curing; days; materials; properties; strength; surface; temperature; vol; water
• A Climate Change Impacts on Structural Durability of Concrete by Kabiru Shuaibu (2025) - Durability is seriously threatened by increased CO2 concentrations and ambient temperatures, which hasten steel corrosion and concrete carbonation. Concrete compressive strength under changing environmental conditions during placement processes. Keywords: analysis; carbonation; change; chloride; climate; climate change; concrete; corrosion; co₂; degradation; durability; et al; infrastructure; strength; structures; temperature
• Fractional Order Three-Dimensional Generalized Boundary Value Problem for Rectangular Plate Moving with Heat Source by Changdev B. Kothule (2025) - − ∇2�̅� = 𝑠2𝑒̅ (39) ∇2�̅� = (𝑠𝛼 + 𝜏0𝑠𝛼+1)�̅� + 휀1(𝑠𝛼 + 𝜏0𝑠𝛼+1)𝑒̅ − 휀2(1 + 𝜏0𝑠𝛼)�̅� (40) �̅�𝑥𝑥 = 2𝛽𝑒�̅�𝑥 + (1 − 2𝛽)𝑒̅ − �̅�, (41) �̅�𝑦𝑦 = 2𝛽𝑒�̅�𝑦 + (1 − 2𝛽)𝑒̅ − �̅�, (42) �̅�𝑧𝑧 = 2𝛽𝑒�̅�𝑧 + (1 − 2𝛽)𝑒̅ − �̅�, (43) �̅�𝑥𝑦 = 2𝛽𝑒�̅�𝑦 (44) �̅�𝑥𝑧 = 2𝛽𝑒�̅�𝑧 (45) and �̅�𝑦𝑧 = 2𝛽𝑒�̅�𝑧 (46) �̅� = 𝜔�̅� − �̅� (47) where, 𝛼1 = 𝑠2𝜔 − (𝑠𝛼 + 𝜏0𝑠𝛼+1)(1 − 𝜔)(𝜔 + 휀1) 𝜔 , 𝛼2 = 𝑠2𝜔 − 휀1(1 − 𝜔) 𝜔 , Keywords: analysis; fractional; heat; source; temperature; vol; ̅ �; � ̅

• The Impact of Sodium Valproate on Male Reproductive Health: A Comprehensive Review by Harpreet Singh (2025) - Although valproate exhibits therapeutic properties, there are concerns about its detrimental impacts on male reproductive health. The effects of sodium valproate on male reproductive health are not only due to the structural changes, but also brought about by hormonal disturbance(Harden and Pennell 2013). Keywords: doi; health; kaen; khon; male; reproductive; valproate
• Sustainable Mental Health: Development and Changes by Rahul Gupta (2025) - 2.2 Marmot et al. (2010) examined the social determinants of mental health and found that factors such as income, education, and social support are important determinants of mental health outcomes. Sustainable mental health is a complex concept that requires a multi-faceted approach that addresses both individual and environmental factors that influence mental health outcomes. Keywords: adults; happiness; health; levels; outcomes; support
• Examing the Relationship between Consumption Patterns and Health Benefits of Millet-Based Food Products in Gwalior, Madhya Pradesh by Abhinav Bhat (2025) - Using a sample of 384 respondents, this research explores the factors influencing millet consumption in Gwalior, focusing on demographic characteristics (age, gender, income, education), awareness of health benefits, frequency of consumption, and the barriers to millet adoption. The decline in millet consumption is particularly noticeable in urban regions, where diets have shifted toward processed and refined foods. Keywords: benefits; consumption; food; health; millet; patterns; products

• Double Encrypted Symmetric Cryptosystem Using adjacency matrix and Linear Feedback Shift Register (LFSR) by MPR Murthy (2024) - Seed and next three stated of LFSR are represented as1010101101, 1101010110, 0110101011 are adjacency matrices used for encryption of first block matrix in the rounds. The elements of cipher block matrices C [(1) (2)(3)]C[(2)(2)(3)] are coded to ASCII Characters which is cipher text C. 3.4 Decryption: As the present cipher is symmetric block cipher, decryption is just the reverse process of encryption. Keywords: adjacency; block; cipher; encryption; lfsr; matrix; 𝐹𝑙𝑖𝑝; 𝑋𝑂𝑅
• Implementation of R in Cryptographic Algorithms: Integrating Symmetric Matrices and Positive Integer-Valued Functions by K. Kaleeswari (2025) - Encryption decryption algorithm using solutions of Pell equation. Keywords: Encryption, decryption, cyclic symmetric matrix, positive integer-valued function. Keywords: encryption

• Nonlinear Analysis of Heat Transfer in Materials by X. Zhang, Abbes Benaissa, (2023) - Phase Change Materials Phase change materials undergo nonlinear heat transfer during phase transitions, impacting energy storage and thermal management applications. Finite element analysis of nonlinear heat transfer in materials with temperature-dependent properties. Keywords: heat; transfer
• The Impact of Volume Fraction and Nanoparticles in the Flow of Nanofluids along the Boundary Layer Over a Flat Plate by Rose Paul (2024) - Abstract: Introduction: The forced convective, steady, viscous, nonlinear boundary layer flow of a two-dimensional problem over a flat plate with heat transfer nanofluids. In this work, forced convective, viscous, nonsequential boundary layer flow of a two- dimensional problem over a flat surface with heat transfer nanofluids is explored. Keywords: fraction; heat; nanofluids; number; volume
• Analysis of Three-Dimensional Non-Homogeneous Fractional order Thermoelastic Problem of Thick Rectangular Plate with Internal Heat Generation by Yogesh U. Naner, Satish G. Khavale, Kishor. R. Gaikwad (2025) - Some contribution of thermoelastic problems and fractional order thermoelastic problems have been discussed in [12-34]. [28] S. G. Khavale, K. R. Gaikwad, ‘‘Fractional order thermoelastic problem of thin hollow circular disk and its thermal stresses under axi-symmetric heat supply’’, Design Engineering, vol. 2021(9), pp. Keywords: fractional; heat; plate; vol; ∂2𝑈
• Effect of Linearly Distributed Sources in Normal Loading of a Dual-Phase-Lag Thermoelastic Diffusion with Non-Local Formulation by Rajneesh Kumar (2025) - − 𝐾₁₃𝐾₂₆𝜔2 − 𝐾₂₂𝐾₁₅𝜔² − 𝐾₁₁𝐾₂₃𝐾₂₅ + 𝐾₃₃𝜁²𝐾₂₅𝜔² + 𝐾₃₅𝜍²𝐾₂₃𝜔² + 𝐾₂₁𝐾₂₆ − 𝐾₂₃𝐾₂₄ − 𝑏₃𝐾₂₁𝐾₂₅ + 𝑏₃𝐾₂₂𝐾₂₄ , 𝐾₀₃ = 𝜔2𝐾₂₆𝐾₂₂ − 𝜔²𝐾₂₃𝐾₂₅ , 𝐾₁₁ The roots of the characteristic equations (20), (21) are mᵢ (i=1,2,3,4) and 𝐴𝑖(i=1,2,3,4) are the corresponding amplitude coefficients determined from boundary conditions and 𝑅𝑖 ∗ and 𝑆𝑖 ∗ are derived as follows: 𝑅𝑖 ∗ = (𝑚ᵢ2 − 𝜉₁²)³(𝐾₃₃𝐾₃₄𝜁²𝜍² − 𝐾₃₁𝜁²𝐾₁₅) + (𝑚ᵢ2 − 𝜉₁²)²(𝐾₃₁𝜁2𝐾₂₆ + 𝐾₂₁𝐾₁₅ −𝐾₃₃𝜁2𝐾₂₄ − 𝐾₃₅𝜍²𝐾₂₁) + (𝑚ᵢ2 − 𝜉₁²)(𝐾₂₁𝐾₂₆ − 𝐾₂₃𝐾₂₄) (𝑚ᵢ2 − 𝜉₁²)² (𝐾₁₃𝐾₁₅ − 𝐾₃₃𝐾₃₅𝜁²𝜍²) + (𝑚ᵢ2 − 𝜉₁²)(−𝐾₂₂𝐾₁₅ − 𝐾₁₃𝐾₂₆ + 𝐾₃₃𝜁²𝐾₂₅ +𝐾₃₅𝜍²𝐾₂₃) + (𝐾₂₂𝐾₂₆ − 𝐾₂₃𝐾₂₅) 𝑆𝑖 ∗ = (𝑚ᵢ2 − 𝜉₁²)³(𝐾₃₁𝐾₃₅𝜁²𝜍² − 𝐾₃₄𝐾₁₃𝜍²) + (𝑚ᵢ2 − 𝜉₁²)²(𝐾₁₃𝐾₂₄ + 𝐾₃₄𝜍²𝐾₂₂ − 𝐾₃₁𝜁²𝐾₂₅ −𝐾₃₅𝜍²𝐾₂₁) + (𝑚ᵢ2 − 𝜉₁²)(𝐾₂₁𝐾₂₅ − 𝐾₂₂𝐾₂₄) (𝑚ᵢ2 − 𝜉₁²)² (𝐾₁₃𝐾₁₅ − 𝐾₃₃𝐾₃₅𝜁²𝜍²) + (𝑚ᵢ2 − 𝜉₁²)(−𝐾₂₂𝐾₁₅ − 𝐾₁₃𝐾₂₆ + 𝐾₃₃𝜁²𝐾₂₅ +𝐾₃₅𝜍²𝐾₂₃) + (𝐾₂₂𝐾₂₆ − 𝐾₂₃𝐾₂₅) i=1,2,3 5. Keywords: analysis; diffusion; heat; journal; lag; phase; stress

• The Fractional Calculus of Product of Special Functions by Karuna Laddha (2024) - Wright function is a special case of the Fox – H function as [13] ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( )     −− −− −=         + qq ppp qp qq pp qp BB AA zHz BB AA ,1,......... The following result is required here           ++ −        − + − = + − + 1 1 1 1)( )1( )( 1),,( 0           a t tP a (2) Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 5s (2024) 344 https://internationalpubls.com where ;1 ;0)Re(  0)Re(  . Keywords: function
• Stability and Preservation of Fuzzy Membership Functions in Adaptive Gaussian Derivative Filters by Aarthi D (2024) - The theorem and corollaries stated above establish that the adaptive 1D and 2D Gaussian filters is BIBO stable, preserves the essential properties of fuzzy membership function and acts as a low pass filter in the frequency domain. Since, 𝐴(𝑖, 𝑗) is bounded and the properties of Gaussian filter then, 𝑔(𝑥, 𝑦) ≤ ∑∑|𝐴(𝑖, 𝑗)| 𝑗 | 1 2𝜋𝜎𝑥𝜎𝑦 [1 − 𝛼 𝑥 𝜎𝑥 2 − 𝛽 𝑦 𝜎𝑦 2 ] 𝑒𝑥𝑝 (− 𝑥2 2𝜎𝑥 2 − 𝑦2 2𝜎𝑦 2 )| Keywords: filter; frequency; function; gaussian; membership
• Exploring the Complex Dynamics of Julia and Mandelbrot Sets for the Complex-valued Mapping sin(zk) + az + c Using Four-Step Iterative Scheme with s-Convexity by Nabaraj Adhikari (2024) - The impact on Julia sets for varying k 4.2 Mandelbrot set In this segment, we generate Mandelbrot sets using Algorithm 2. Higher values of k result in more compact fractals with circular or rounded shapes, featuring numerous lashes in the case of Julia sets and k − 1 lashes in the case of Mandelbrot sets. Keywords: function; julia; mandelbrot; parameter; sets
• Heat Conduction in a Square Plate Involving Multivariable H-Function by Nitesh Kumar Sahu (2024) - In 1954, Saran completed Lauricella’s series of hypergeometric function of three variables by defining two functions FE, FF, FG, etc. Keywords: Generalized hypergeometric function,H-function, Multivariable H-function, Heat conduction, Square plate geometry. Keywords: function
• Approximation of Fixed Points via Picard-Abbas Hybrid Iteration Scheme for p-Quasi-Nonexpansive Multivalued Mappings by Manbhalang Chyne (2025) - Abstract: We present results on stability and convergence for the Picard-Abbas iteration scheme for ρ-quasi-nonexpansive multivalued mappings within modular function spaces. Keywords: Picard-Abbas hybrid iteration; convergence; stability; quasi-nonexpansive mappings; modular function space. Keywords: function; let; mapping; modular
• Mathematical Models: Unlocking Solution to Two Biological Frontiers by Bevara Kondala Rao (2025) - − − − −(6) and the corresponding pdf is given by 𝑔(𝑧) = 𝛿𝜔𝛾𝜔 𝑧𝛿−1{(1 − 𝜌)(𝛾 + 𝛾𝛿) 𝜔 + 2𝜌𝛾𝜔 (𝛼 + 𝛼𝛽)2𝜔+1 , 𝑧 > 0 − − − −(7) Keywords: cows; distribution; figure; function; group; journal; prl; prolactin
• The T-Generalized P - K Wright Function and its Properties by Arvind Maharshi (2025) - k Wright function, Generalized p-k Wright function, Generalized k-Wright function, Generalized Wright function, two parameter Pochhammer symbol, two parameter Gamma function. Properties of Generalized p-k Wright Function We evaluate the functional relation between t-Generalized p-k Wright function,Generalized p-k Wright function and Generalized Wright function and we obtain the recurrence relations of t-Generalized p-k Wright function. Keywords: function; ∏ 𝛤𝑘𝑝; 𝑖=1
• Finite-Dimensional Hilbert Spaces: Optimal Basis Selection and Its Applications in Signal Processing and Numerical Analysis by Mansourah H. Al-Yazidi (2025) - [4] who proved that there corresponds, to any given finite Abelian group, one and only one class of unitarily equivalent, irreducible representations in finite dimensional space. More precisely, for the observable Universe, finite-dimensionality of Hilbert space is not only a mathematical use but a physical necessity imposed by the following relation Keywords: analysis; applications; basis; dagger; error; finite; framework; function; hilbert; numerical; processing; quantum; signal; space
• Generalized q-Mittag-Leffler Matrix Function and its Properties by Cynthia V. Rodrigues (2025) - For A ∈ Cr×r and q ̸= 1, qA = eA log q then the q-shifted factorial matrix function is defined by [10] (A; q)n = { I if n = 0 (I − A)(I − Aq)...(I − Aqn−1) if n ∈ N. (2.2) σ ( q2A ) , q−2n /∈ σ ( qA+I/2 ) , n = 1, 2, · · · In view of [3, Eq.(6)], we can propose the the following theorem for matrix function. Keywords: function
• New Operational Matrix Via Gnocchi Polynomial for Solving Non-Linear Fractional Differential Equations. by Anil Kumar, Sachin Kumar (2025) - In this study an operational matrix based on Gnocchi polynomial is introduced for solving non linear fractional differential equations (NFDE) with better sparsity, stability and computational efficiency. The proposed method transforms NFDEs into tractable algebraic systems by constructing a fractional differentiation operational matrix using Gnocchi polynomials. Keywords: analysis; differential; equations; fractional; function; gnocchi; matrix; polynomial
• Classical and Bayesian Estimation for a New Long Tailed Distribution: Modi-Lomax Distribution by Surinder Kumar, Rahul Shukla, Bhupendra Meena (2025) - Survival function plots for MOLD distribution. Hazard function plots for MOLD distribution 3.5. Keywords: analysis; distribution; function; lomax; modi; mold; parameter; 𝑖=1
• To Investigate the Biochemical Parameters in Male Albino Wistar Rats Treated with Benincasa Hispida Seeds and Coenzyme Q10 by Savita Sharma (2025) - Hormonal assays in male reproductive studies. Email: anjaligoswami229@gmail.com Article History: Received: 04-12-2024 Revised: 23-01-2025 Accepted: 26-02-2025 Abstract: Male infertility remains a global health concern, with oxidative stress being a critical factor responsible for impaired sperm quality, hormonal imbalance, and altered biochemical homeostasis. Keywords: analysis; antioxidant; coq10; dose; function; group; hispida; infertility; male; reproductive; seeds; stress
• Cost Analysis Approach-the \(M^x / M / 1\) Queues with Working Breakdowns and Interruptions by B. Deepa (2024) - [2𝜆2𝛼𝑍(1 − 𝐺(𝑍))𝐺′(𝑍) − 𝛼𝜆2(1 − 𝐺(𝑍)))2 − 𝛾𝜆𝛼[(1 − 𝐺(𝑍) − 𝑍𝐺′(𝑍)]]𝑃1,0 Δ′(𝑍) = 𝜆3(1 − 𝐺(𝑍)))3 + (1 − 𝐺(𝑍)))2[−3𝜆3𝑍𝐺′(𝑍) + 𝜆2(𝜇𝑏 + 𝛼 + 𝜇 + 𝛾) + 𝜆(𝛼𝜇𝑏 + 𝜇𝜇𝑏 + 𝛾𝜇𝑏 + 𝛾𝛼 + 𝛾𝜇)] + 𝐺′(𝑍)𝜆𝑍[−𝛾𝛼 − 𝛾𝜇 + 𝛾𝜇 𝑍 − 𝛾𝜇𝑏 − 𝛼𝜇𝑏 − 𝜇𝜇𝑏 + 𝜇𝜇𝑏 𝑍 ] + 𝛾𝜇𝑏[𝛼 + 𝜇] Now letting Z=1 then the above equations can be rewritten as follows: 𝑃0(1) From figure16 it is evident that total cost function decreases first and then increases consequently the convex nature arises in the total cost function. Keywords: cost; effect; function; probability; rate; 𝑃0(1; 𝑃1(1

• A Statistical Analysis of Finance-Production Relationship in Mango Farming in Palani Taluk by Navamani. C, A.V. Chinnasamy (2025) - Interestingly, farmers with high financial problems recorded slightly higher mean production scores, suggesting that some cultivators may adopt efficient practices, rely on experience, or prioritize resource utilization to overcome financial constraints. Post-hoc tests can pinpoint the differences, e.g., moderate vs. high financial stress farmers. Keywords: efficiency; farmers; mango; palani; problems; production; taluk

• Non-Toxic Processable Solution Up-Cycling of Spent Electrical Anode: Environmental Sustainability by V Y Ganvir (2024) - However, more research in this low surfactant region would be beneficial in maximising concentration utilising used graphite anode material, and the strong recovery performance is encouraging. Using used graphite anodes instead of high-purity graphite flakes increases process yield by 38.6% under the same hydrodynamic circumstances. Keywords: analysis; anode; concentration; exfoliation; figure; graphene; graphite; layer; materials; paper; process; shear; surfactant; upcycling; vol
• Machine Learning Approach for Optimal Parameter Estimation in Vibratory Welding by Rashmi Dwivedi (2025) - Mechanical properties improvement of weldments using vibratory welding system. Mechanical properties improvement of weldments using vibratory welding system. Keywords: electrode; frequency; hardness; joint; process; properties; strength; vibratory; welding; workpiece
• Mathematical Analysis for Optimizing Electro Discharge Machining Parameters and Enhancing Hastelloy Machining Efficiency by Alok R. Narkhede (2024) - The optimizing [14] EDM process parameters for Hastelloy machining is a complex task with significant ramifications for the sectors that depend on this superalloy. In conclusion, this study highlights the crucial significance of optimising EDM process parameters in Hastelloy machining. Keywords: analysis; discharge; edm; electrode; hastelloy; machining; material; parameters; process; rate; removal; surface; tool; wear
• Enhancing Surface Integrity and Quality through Roller Burnishing: A Comprehensive Review of Parameters Optimization, and Applications. by Avinash A. Somatkar (2024) - Effects of roller burnishing process parameters on surface roughness of A356/5%SiC composite using response methodology. It explores topics including residual stresses, surface roughness, microhardness, cooling strategies, and modeling techniques. Keywords: alloy; analysis; burnishing; burnishing process; et al; feed; hardness; material; microhardness; parameters; process; roller; roller burnishing; roughness; speed; surface; surface roughness; tool

• A Comprehensive study on the Women Disparities in the society using the Methodology of Multi-Criteria Decision Making by S. Shafeena Miraclinl (2025) - Subtraction: �̃� − �̃� = (𝑞1 − 𝑤2, 𝑟1 − 𝑣2, 𝑠1 − 𝑢2, 𝑡1 − 𝑡2, 𝑢1 − 𝑠2, 𝑣1 − 𝑟2, 𝑤1 − 𝑞2) 3. Multiplication: �̃� ∗ �̃� = (𝑞1 ∗ 𝑤2, 𝑟1 ∗ 𝑣2, 𝑠1 ∗ 𝑢2, 𝑡1 ∗ 𝑡2, 𝑢1 ∗ 𝑠2, 𝑣1 ∗ 𝑟2, 𝑤1 ∗ 𝑞2) Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 Keywords: decision; ̃ �; � ̃; 𝒮4 𝒬1
• Application of Neutrosophic Sets in Multi Attribute Decision Making by R. Ramesh (2025) - Neutrosophic sets are employed to handle the inherent uncertainty and indeterminacy in hospital evaluation criteria, allowing for more flexible and accurate representation of data that may not be fully precise or certain. Then, 𝑁WA(𝛾1, 𝛾2) = 𝑤1𝛾1𝑤2𝛾2 =< 2 − (1 − 𝒯𝛾(x1)) 𝑤1 − (1 − 𝒯𝛾(x2)) Keywords: criteria; decision; entropy; 𝒯2 𝛾(x𝑖
• Social Media-Driven Viral Marketing: A Strategic Approach to Leveraging Influencer Marketing for Enhanced Virality by Amrit Kaur (2025) - This shift has led to the evolution of connected marketing, social media marketing, and, most notably, viral marketing. Viral marketing involves sharing content on social media that spreads rapidly and exponentially. Keywords: content; decision; influencers; interaction; journal; marketing; media; virality

• New Quantum Codes using Monomial Matrix over Hermitian Dual-Containing Matrix Product Codes by Shivender Goswami (2025) - The incorporation of these algebraic techniques enhances the performance of quantum codes and lays a strong foundation for future developments in theory of quantum error codes [16]. Since seminal works [1,2,3], research in quantum codes has flourished, particularly in constructing effective quantum codes. Keywords: codes; matrix; quantum;  ;  
• Spin Dependent Steady State and Transient Gain Characteristics of Stimulated Brillouin Scattering in Magnetized Quantum Plasma by Gopal Chand Dangi, Ravi Vanshpal, Ratna Agrawal (2025) - Electron spin effects have not only enriched the theoretical framework of plasma physics but also inspired emerging applications in spintronics, quantum computation, and spin-based diagnostic techniques [7,8]. In Figure 3, steady-state gain characteristics of the SBS are displayed including quantum spin effect. Keywords: brillouin; density; gain; plasma; polarization; pump; quantum; sbs; spin; vol; 𝑆𝛼0

• An Investigation into the Impact of Value Orientation on Attitude and CRM Purchase Intention towards Eco-Friendly Products: Evidence from Gujarat State in India by Neha Upadhyay (2024) - This study demonstrates that value oriented young consumers would tend to have a positive attitude and strong purchase intention towards CRM products that a bend of eco- friendliness. We propose that consumer value orientation and positive attitude would lead to high CRM purchase intention toward eco-friendly products. Keywords: attitude; consumers; crm; eco; intention; journal; marketing; orientation; products; purchase; research; study; thomas; value
• A Fuzzy Optimal Base Stock System for Tolerant Clients by Jagatheesan. R (2024) - Table 1.3:The variations in �̂� for the changes in the value of �̃� �̃� �̃� µ̃ �̃� �̃� �̃� �̃� �̃� 𝛉∗̃ �̂� x10-4 = [0.2,0.5,0.8], θ∗̃=[0.5,1,1.5], µ̃=[0.5,1.5,2.5], the optimal value of �̂� is obtained and the variations in �̂� for the changes in the value of �̃� are listed. Keywords: base; ranking; stock �; value; ̃ �; � ̃; � �
• A Novel Method for the Fuzzy Survival and Fuzzy Hazard Models of the Corticosterone Effect by Senthilkumar P (2024) - Similarly the α-cut for the Upper fuzzy Survival and Lower fuzzy Hazard values decreases when alpha value increases. ( ) ( )( )   H S H S S d d f −= ( ) ( )( )   H S H S S d d H log−= Keywords: distribution; h s; hazard; hypothesis; survival; value
• Three Persons Satisfactory Roommates Problem with Incomplete List by N. Logapriya,, et al. (2024) - The problem of finding large weakly stable matchings in the presence of incomplete preference lists containing onesided ties was examined by Lam and Plaxton Two variations of the traditional Stable Roommates (SR) problem with incomplete (but strictly ordered) preference lists (SRI) that are degree-constrained—that is, preference lists with restricted length—were examined by Cseh et al. Keywords: preference; problem; value
• Impact of Impulse and Hedonic Buying on Mobile Shopping and Cognitive Dissonance: A Study in Tenkasi by L. Christlin Mercy, J. Vijay Stanly (2025) - Hypothesis Generation from Conceptual Models H1 - Digital payments have a positive influence on hedonic buying behaviour. H2 - Online reviews have a positive influence on hedonic buying behaviour. Keywords: analysis; buying; consumer; dissonance; materialism; online; payments; shopping; value
• The Roles of Indonesian Creative Industries: The Economic Perspective by Ubaidillah Zuhdi (2025) - The dynamics of indonesian creative industry sectors: An analysis using input–output approach. 4 Conclusions and Further Researches This study analyzes the roles of Indonesian creative industries in the Indonesian national economy by using IO analysis. Keywords: analysis; household; income; index; indonesian; industries; industries journal; journal; output; period; sector; services; study; value
• Navigating the Future of Hospitality: Understanding Guest Adoption of Contactless Services by Sitesh Srivastav (2025) - It looks at how much frequent use of contactless services by visitors has become automatic and engrained in their interactions with hospitality services. Increased visitor awareness of hygiene and a desire for fewer in-person touchpoints when interacting with hospitality services are the main factors driving the growing demand for these services (Chathoth et al., 2021). Keywords: analysis; contactless; contactless services; expectancy; hospitality; influence; intentions; services; use; value; visitors
• Three Persons Satisfactory Roommates Problem by N. Logapriya (2024) - Key words: Preference value, Preference value matrix, perfect matching, three person roommates, modified preference value matrix. Preference value matrix is defined by P:[Pij] Pij = { 3𝑛−2 3𝑛−2 𝑖𝑓 Keywords: person; preference; value
• Evaluating The Effectiveness Of The Piotroski F-Score In The Indian Equity Market : Evidence From Nifty100(2007–2024) by Ayush Shah (2025) - Sort Dates: • Dates from date to company values are sorted in ascending order to process investments sequentially. [4] focus primarily on bankruptcy prediction, but fail to provide a holistic financial assessment essential for value investment. Keywords: analysis; companies; company; firms; growth; investment; market; piotroski; portfolio; score; study; value
• A Fuzzy Optimal Base Stock System for Tolerant Clients by Jagatheesan. R (2024) - �̃� �̃� µ̃ �̃� �̃� �̃� �̃� �̃� 𝛉∗̃ �̂� x10-4 �̃� �̃� µ̃ �̃� �̃� �̃� �̃� �̃� 𝛉∗̃ �̂� x10-4 Keywords: base; stock �; value; µ̃ �; ̃ �; � ̃; � �

• Optimality of Finite Capacity Markovian Queues with Discouraged Arrivals and Singlhiatus with Waiting Server by J. Vimal Andrew (2024) - We consider the following cost parameters as CO1 = 20, CO2 = 45, CO3 =60, CO4 = 80, CO5=90 Figure 11: Total Cost against µ Table 1: Cost function versus µ µ 1 2 3 4 5 6 7 8 9 10 λ = 0.6 650.3 557.1 612.1 687.6 769.8 854.9 941.5 1029.1 1117.2 1205.7 λ = 0.8 835.1 672.5 719.1 792.5 873.9 958.6 1045.1 1132.5 1220.6 1309.1 λ = 0.9 912.2 760.4 802.1 874.5 955.3 1039.9 1126.2 1213.6 1301.6 1390.1 In Figure 11, for the different arrival rate λ = 0.6, 0.8, 0.9 and for the fixed values of γ = 0.1 and α = 0.2, we got the values while varying µ from 1 to 10 as follows the table. The cost function TC is defined as 𝑇𝐶 ≡ 𝐶𝑂6𝑃0 1(𝑍) + 𝐶𝑂7𝑃1 1(𝑍) + 𝐶𝑂8µ Figure 12: Total Cost against µ Table 2: Cost function versus µ µ 1 2 3 4 5 6 7 8 9 10 λ = 0.3 833.1 497.4 479.5 520.2 582.1 653.7 730.9 811.5 894.2 978.4 λ = 0.4 1344.6 668.4 584.6 598.6 645.3 707.3 788.6 854.4 933.6 1015.1 λ = 0.5 2088.4 885.9 713.8 693.1 722.1 773.3 836.6 907.1 982.1 1060.3 Keywords: cost; figure; values; vol
• Machine Learning Enabled Inventory Control for Deteriorating Items with Carbon Emission and Trade Credit under Learning and Forgetting by Sushil Bhawaria, et al. (2024) - = 𝜏𝜃(𝑃 − 𝑎 − 𝑏(𝑡 − 𝜏𝜃)) The industry considers carbon emission cost and extra investment h’ M per unit per unit for holding inventory. Keywords: cost; inventory; − 𝑃; 𝑀 −; 𝑅 −; 𝑇 𝑀
• The Cost of Living in Early Childhood Education and Care (ECCE): Financial Constraints among Low (B40) and Medium Income Group (M40) in Kuala Lumpur, Malaysia by Zarina Kassim (2025) - Keywords: Cost of living; Early Childhood Care and Education; Financial stress; Depression; B40 and M40 1 Introduction The phenomenon of rising prices of goods and services every year caused by various factors such as dependence on the global economy and food security crisis has caused low-income communities to experience a cramped life until the phenomenon of urban poverty exists. Hence, this research was to determine relationship between financial stress and depression among B40 and M40 parents to paying the cost of ECCE. Keywords: analysis; children; cost; ecce; family; income; living; malaysia; parents; stress
• A Dual-Channel Supply Chain Model with Distribution-Free Approach using Customization by Quazzafi Rabbani (2025) - For the ‘jth’ element, aj =minimum time span, bj = normal time span, and cj = crashing cost per unit time. Thus, the penalty cost as a consequence of carbon emission is given as EC2 = l∑ i=1 YiCep,i (24) where Yi = { 1 Ed1 > Eli (i = 1, 2, ..., l) 0 otherwise (25) 2.3.2 Social pillar Cumulative social cost as a result of hard labor, medical maintenance, welfare, and social consciousness (Khan et al., 2016) for single channel supply chain model, is SC1 = ηS1q1 (26) Keywords: cost; d1l)2; νd1; σ2l; ∂2tcd
• Precast Concrete Buildings: A Study on Innovation, Application, and Future Prospects in the Indian Construction Industry by Nikhil Mandle, Ruchi Chandrakar (2025) - Precast concrete construction, which involves off-site fabrication and on-site assembly of concrete components, is gaining global attention. Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 2333 https://internationalpubls.com Precast Concrete Buildings: A Study on Innovation, Application, and Future Prospects in the Indian Construction Industry Nikhil Mandle1, Dr. Ruchi Chandrakar 2 1 Research Scholar , Department of Civil Engineering , Kalinga University Raipur (CG), India mandlenikhil17@gmail.com 2 Assistant Professor,, Department of Civil Engineering , Kalinga University Raipur (CG), India Article History: Received: 12-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract: This paper presents a comprehensive investigation into the structural, economic, and environmental performance of precast concrete construction, with a focus on its applications in the Indian context. Keywords: concrete; construction; cost; precast
• Computational Analysis of the Framework Evaluation for Sustainable EOQ Considering Emission Tax with Capital Constraints by Ajeet Baraskar (2024) - This constraint must be carefully balanced with the goal of minimizing total inventory costs, including emission tax liabilities. The model of total inventory cost as evaluated in previous study [22] is as shown in equation (3) is added to the constraint function in equation (1). Keywords: capital; cost; inventory
• The Markovian Batch Arrival Queue with Differentiated Vacation by K. Vijaya (2024) - Correlation between P0,1 and service rate 𝜇 based on 𝑟2 Figure 9 is the representation of the relationship between primary vacation P1,0 with vacation rate 𝑟1 and arrival rate 𝜆. Here P1,0 value decreases the value of 𝜆 increases for different values of primary vacation rate 𝑟1.It is observed that P1,0 value decreases the value of 𝜆 increases for different values of vacation rate 𝑟1. Keywords: cost; rate; server; vacation; 𝐸(𝑊𝑠

• Nonlinear Analysis of Non-Newtonian Fluid Flows by Kim, B. C. (2023) - 26-06-2022 Abstract: Non-Newtonian fluids exhibit diverse and complex behaviors under different conditions. 2.2 Navier-Stokes Equations for Non-Newtonian Fluids Navier-Stokes equations extended for non-Newtonian fluids incorporate nonlinear terms that account for the material's rheological properties. Keywords: analysis; fluid

• Eichhornia Crassipes as a Media of Woven Crafts in Coastal Communities of Minahasa by Jans Mangare (2025) - 2. Benefits of using water hyacinth: - Utilization as Industrial Raw Material: Water hyacinth can be used in various industries. Material complementary addition needed following types ( kinds ) of crafts water hyacinth created goiter. Keywords: art; craft; feed; goiter; handicrafts; hyacinth; making; material; matting; warp; water; water hyacinth; work
• Recent Advances in Removal of Heavy Metals from Aqueous Solution by Gelatin Acrylic Acid-Based Hydrogel - A Review by Diksha Bhatt (2025) - Results indicated that the hydrogel exhibited high adsorption capacities for these metals, with the swelling behaviour and ion-exchange interactions enhancing the uptake of heavy metal ions. Acrylic acid-based hydrogel composites for the removal of heavy metal ions: Keywords: acid; acrylic; gelatin; hydrogels; metals; water

• The Impact of Influencer Marketing on Consumer Behaviour by Aziz Öztürk (2025) - Influencer marketing is the practice of promoting companies' goods and services using social media influencers, and it has been shown to significantly reduce customer scepticism. Social media influencers distribute sponsored content with their following in order to help marketers promote their companies. Keywords: advertising; analysis; brand; consumer; content; customers; influencer; influencer marketing; journal; marketing; media; purchase; research; scepticism; vol; youtube
• Innovative Marketing & Social Commerce: Addressing Fraud Risks in Consumer Behavior by Navjot Kaur Gill (2025) - For studies presenting statistical results, meta-analysis techniques will be used to calculate effect sizes and summarize the overall impact of marketing strategies on consumer behavior, while thematic analysis will be applied to qualitative studies to identify recurring themes related to consumer fraud. The findings provide significant insights into understanding consumer purchase intentions and highlight ways to foster the growth of social commerce. Keywords: commerce; consumer; fraud; journal; marketing; media; research; social; strategies; study; trust
• cana-5149 by None (None) - Empowering Women: By highlighting stories of empowerment and success, media can inspire women and create role models, fostering a culture of equality and ambition. 2.3 Themes in Media Coverage of Women’s Issues Recent studies have identified recurring themes in the portrayal of women’s issues in Indian newspapers: Crime and Victimization: Violence against women is the most reported theme, but the coverage often lacks depth. Keywords: gender; issues; media; narratives; newspapers; print; representation; women
• Factors Influencing Consumer Behavior towards Fast Food and the Role of Social Media Marketing on Consumers Fast Food Purchase Decision in Delhi NCR by Pranita Sah, Gaurav Bathla, Varinder Singh Rana (2025) - Deviation Awareness of fast-food brands 220 1 5 2.96 1.466 Awareness of nutritional content of fast food 220 1 5 3.11 1.330 Awareness of ingredients in fast food 220 1 5 3.09 1.345 Awareness of health risks of fast food 220 1 5 3.29 1.416 Awareness of hygiene standards 220 1 5 3.36 1.422 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. ICMASD (2025) 1739 https://internationalpubls.com Awareness of calorie count 220 1 5 3.15 1.338 Awareness of marketing strategies of fast food 220 1 5 3.10 1.334 Awareness of discounts/deals/loyalty programs offered by fast food outlets 220 1 5 3.16 1.334 Awareness of promotional campaigns 220 1 5 2.95 1.252 Awareness of packaging and sustainability 220 1 5 3.20 1.304 Awareness of ethical/local sourcing 220 1 5 3.04 1.271 Awareness of consumers rights towards fast food 220 1 5 2.85 1.392 Valid N (listwise) 220 Table no. 6 highlights critical inputs into the perception and knowledge that consumers within Delhi- NCR have related to fast foods, compared across 12 dimensions. Although this gap remains, even in less literate populations or where the alternative may not be so readily accessible, intervention targeting fast food consumers to take informed choices is needed. Keywords: analysis; awareness; behavior; consumer; consumer behavior; consumption; correlation; delhi; delhi ncr; factors; food; food consumption; influence; marketing; media; ncr; platforms

• A Comparative Study on Bilayer and Tri Layer Fabrics by C. Manimekala, R. Sheela John (2025) - Bilayer fabrics consist of two layers of material bonded or woven together (Kavitha, 2023). Bilayer fabrics are commonly used in activewear, outdoor garments, medical textiles, and industrial applications. Keywords: bilayer; fabrics; layer; trilayer

• Formulation of Impulsive Differential Equations with Time-Dependent Continuous Delay by Venkatachalapathi Uday (2024) - -10-2024 Abstract: Research in impulsive delay differential equations has been undergoing some exciting growth in recent times. The realization that differential equations, in general, and indeed impulsive delay differential equations are very important models for describing the true state of several real-life processes/phenomena may have been the tunic. Keywords: differential; equations
• Non-Homogeneous Fuzzy Differential Equation with Triangular Fuzzy Number as Initial condition by Dnyaneshwar P. Bawane, Lemraj S. Ladke (2025) - Seikkala, S. [5] has conveyed a use of extension principle and extremal solution of initial value problems to solve fuzzy differential equation in 1987. In year 1999, Oberguggenberger, M. [23] used zadeh’s extension principle get solution to fuzzy differential equation. Keywords: differential; equation
• Applying Differential Transform Method (DTM) to get Series Solution of Sixth Order Boundary Value Problems by Dnyaneshwar Kadam, Avinash Khambayat (2025) - Refrences [1] Farshid Mirzaee, “Differential Transform method for solving linear and nonlinear system of ordinary differential equation”, Appl. In this study, we effectively use DTM to solve differential equations with boundary conditions. Keywords: differential
• Numerical Method for the Solution of Integro-Differential Equations of the Second Kind by Dilmi Mustapha (2025) - Genocchi polynomial method for I.D.E Consider the following integro-differential equation 𝑦 ′(𝑥) Refrences [1] A. Adawi, F. Awawdeh, A numerical method for solving linear integral equations, Int. Keywords: differential; equations; integro; solution; 𝑏−𝑎

• Integrating FinTech Solutions in Agribusiness: A Pathway to a Sustainable Economy in Bangladesh by Zahiduzzaman Zahid (2025) - State and potential of digital financial services among farmers in Bangladesh: An in-depth study. Financial Inclusion Many smallholder farmers in Bangladesh lack access to formal financial facilities due to high interest rates, rigid loan terms, and the dominance of informal credit systems (Tripoli & Schmidhuber, 2018). Keywords: access; agribusiness; bangladesh; challenges; farmers; finance; fintech; islamic; platforms; sector; services; solutions

• Utilizing Nanomaterials to Enhance Durability and Strength in Concrete by Ram B.Ghogare (2024) - The results showed that the addition of carbon nanotubes increased the compressive and flexural strength of concrete, indicating a potential improvement in building performance. Microcracks were found in carbon nanotubes, indicating their ability to bond and resist stress. Keywords: carbon; concrete; mix; mpa; nanotubes; strength
• A Non-linear analysis of Wall Putty and ConcreteCubes for Self-Cleaning usingTitanium Dioxide by A. Hemamathi (2025) - Methodology Natural source of sun is utilized in the self-cleaning process of concrete surface in this study. Photocatalytic activity analysis on wall putty due to TiO2 by RH dye: Two different samples were made of roughly 1.5 to 2 feet were made on a gypsum board to indicate realistic plain surfaces such as brick work and concrete surfaces. Keywords: cleaning; concrete; dye; figure; putty; self; surface; tio2; titanium
• Effect of Aluminium and Steel Fibers on Flexural Performance of Reinforced Concrete Beam by Giridhar N.Narule (2025) - “Performance on steel fiber reinforced concrete using metakaolin”, Materials Today: Proceedings- The value of all parameters highlighted in table such as load at first cracking, ultimate load, deformation and flexural stress improved significantly with fiber additives in range 0.5% to 1.5% while casting RC fiber reinforced beams compared to the control beam without fiber. Keywords: aluminium; beam; concrete; fiber; specimens; steel; strength
• Influence of Masonry Strength and Column Reinforcement on the Lateral Performance of Infilled RC Frames by Jonathan T Mark (2025) - No. 8s (2025) 695 https://internationalpubls.com experimental studies that masonry infill is beneficial in increasing the stiffness of a RC frame under lateral loading and also alters the failure mode of RC frame. Experimentally investigations on two full-scale masonry infilled RC frames under cyclic loading were carried out by Wararuksajja et. Keywords: cmu; concrete; failure; frame; masonry; reinforcement; shear; specimens; study; vol
• Exploring the Synergistic Effects of Industrial and Agricultural Waste in Concrete by Shashank Shekhar Kamal, Akshit Lamba (2025) - Numerous past investigations have documented the exceptional pozzolanic properties of sugarcane bagasse ash in concrete. The performance evaluation of sugarcane bagasse ash as a component of unburned bricks, paver blocks, and alkali-activated concrete is the main emphasis of this work. Keywords: ash; bagasse; concrete; marble; materials; specimens; strength; sugarcane; waste
• Investigation into Mechanical Characteristics and Fracture Behavior of Self-Compacting Concrete with Chopped Fibers by Manjul Naresh Lanjewar, Akshit Lamba (2025) - To obtain the basalt fiber reinforced SCC, glass fiber reinforced SCC, carbon fiber reinforced SCC the requiredfiber percentage was added to the already prepareddesign mix, satisfying the fresh SCC requirements. Different fiber types and percentages were evaluated to analyze their impact on compressive strength, flexural strength, and fracture toughness. Keywords: concrete; fiber; mix; properties; scc; self; strength
• Study and Experimental Investigation of Marble Waste as a Concrete Ingredient by Agnilal Yadav, Akshit Lamba (2025) - Simultaneously, the disposal of marble waste from quarrying and processing poses environmental challenges. This study explores the use of marble waste as a partial replacement for fine and coarse aggregates in concrete production, promoting sustainability and waste management. Keywords: aggregate; concrete; fine; marble; powder; scc; vol; waste
• Experimental Analysis of Mechanical Properties of Fiber Reinforced Cenosphere Lightweight Concrete with Higher Temperature Effect by Nilesh Zanjad (2024) - Experimental study on mechanical properties of fiber reinforced concrete: Effect of cellulose fiber, polyvinyl alcohol fiber and polyolefin fiber. Experimental study on mechanical properties and damage mechanism of basalt fiber reinforced concrete under uniaxial compression. Keywords: aggregate; concrete; properties; strength; study

• Enhancing Job Satisfaction and Professional Commitment: Keys to Success in the Public Sector by Ahmad Khanali (2025) - Professional commitment is influenced by various factors, including personal values, professional identity, job satisfaction, and opportunities for professional growth. 26-10-2024 Revised:10-11-2024 Accepted:18-12-2024 Abstract: This literature review explores the relationship between job satisfaction and professional commitment among public sector employees, particularly civil servants (ASN). Keywords: commitment; employees; job; job satisfaction; public; satisfaction; servants; work
• Transformational Leadership, Self-Efficacy, Organizational Climate on Innovative Behavior in Indonesia by Ulya Amelia (2025) - Innovative behavior is directed towards transformational leadership: (H1) transformational leadership has a direct positive effect on innovative behavior (O = 0.136). Transformational leadership behaviors of school principals: A qualitative research based on teachers’ perceptions. Keywords: analysis; behavior; climate; effect; efficacy; innovative; leadership; self; study; teachers; teaching; work
• Frames of Change: A Review of the Evolution, Expansion, and Emerging Trends in Indian Graphic Novels by Hardik Shiroya, Suman Pandey (2025) - 26-10-2025 Abstract: Indian graphic novels are now fully formed and unique, joining visual art, literature, and criticism of society. To the wider world, Indian graphic novels are known for their rich plots and engaging artwork, as they have advanced from comic books with more Indian-culture appeal. Keywords: art; banerjee; books; comics; indian; issues; new; novels; people; stories; storytelling; ways; work

• Annual Report Summarizer: RAG based Summarizer by Jayasudha Subburaj (2025) - • Financial domain is a particular linguistic and contextual issue that is difficult to make the generic LLMs perceive. Retrieval-Augmented Generation (RAG) strengthens contextual accuracy by grounding generated text in retrieved evidence. Keywords: ars; retrieval; summaries; summarization; text

• Exploring Code- Switching in Filipino Literature: A Study of Language use among Filipino Majors by Geraldine Madrio Baja (2025) - This implies that these students recognize the functional and situational aspects of language switching, which is critical in navigating the diverse linguistic landscape of Filipino literature. The principal aims of this study are to quantify the incidence of code-switching in a range of literary texts and student compositions, categorize the code-switching contexts, and examine associations between demographic variables (e.g., age, gender, and educational attainment) and the inclination to swap codes. Keywords: analysis; code; filipino; filipino literature; language; literature; mean; study; switching; use

• Premium Linear-Exponential Mixture of Poisson Distribution by Suresh Kumar Sahani, Binod Kumar Sah, (2024) - Putting 3r = in the expression (9), the third moment about origin can be obtained as 2 3 3 2 00 ( ) !(1 ) y y y e e d y          − − =    = +  +    = ( ) 2 3 2 2 0 3 ( ) (1 ) e d         −+ + + +  Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 1 (2024) 192 https://internationalpubls.com = ( ) 2 2 3 4 2 0 (1 3 ) (3 )3 (1 ) e d          −+ + + + + +  = 2 2 3 2 2 2 3 1 2(1 3 ) 6( 3) 24 1 2 6 18 6 24 (1 ) (1 )                 + +    d               − − − − + −= + = + + +  Keywords: distribution; plempd;  
• Neutrosophic Credibility Bounds for the ZB Distribution: Theory, Simulation, and Applications by Abderrahmane Bensid, Thara Belhamra (2025) - Keywords: Neutrosophic logic, Credibility theory, ZB distribution, Interval estimation, Hybrid uncertainty Introduction In many real-world applications, uncertainty arises not only from randomness but also from imprecision, vagueness, and incomplete knowledge. Properties of Neutrosophic Credibility Bounds Using ZB Distribution This section presents both the theoretical construction and neutrosophic properties of the ZB distribution (ZBD), which is defined as a mixture of two classical distributions. Keywords: bounds; credibility; distribution; uncertainty

• Research on the Influence of Differential Voting Rights on Technological Innovation Output: Empirical Evidence based on Listed Companies on the STAR Market by Ren Quan (2025) - Studying the impact of differential voting rights on technological innovation output has important theoretical significance. By deeply studying the impact of differential voting rights on technological innovation output, it can provide useful reference for listed companies on the STAR Market to optimize their corporate governance structures and improve innovation efficiency. Keywords: analysis; capital; companies; company; innovation; innovation output; market; output; rights; star; voting; voting rights
• Affordability and Household Indebtedness: A Case Study of Slovakia by Julius Golej, Daniela Spirkova (2025) - The National Bank of Slovakia introduced new measures in the area of prudential provision of housing loans from 1 January 2020. The law in question also includes an amendment to the draft law on housing loans. Keywords: estate; household; housing; income; interest; loans; market; mortgage; rates; slovakia
• Priority of Low-Income Consumer Behaviour in Visiting Market Places by K. Abraham (2024) - It is found that there is no relation between the profession of low-income consumers and their priority in visiting market place. On the overall observation it is said that irrespective of their educational level most of the respondents are visiting public distribution shops compare to other market places for purchasing goods and services. Keywords: consumers; district; income; market; respondents; shops

• A Two-Stage Enhanced Genetic Algorithm for the Multi-Depot Vehicle Routing Problem in Epidemic Logistics Management by Aji Thomas (2025) - To demonstrate the model, consider an example with two depots, A and B, and demand nodes numbered 1 to 10. For this instance, their optimal path can be represented as (A.3, 8, 5, 4, 6, 1, A), which indicates that vehicles begin from depot A and travel towards demand nodes 3, 8, 5, 4, 6, 1 before returning to A. A similar path exists for depot B, with its optimal path being (B, 3, 10, 9, 7, 4, 2, B). Keywords: case; demand; depot; distance; epidemic; logistics; mdvrp; nodes; phase; problem; vol

• Exploring the Mediating Role of Workplace Incivility in the Relationship Between Emotional Intelligence and Job Satisfaction Among Lebanese Nurses by Suzan Al Kadi (2025) - Based on the preceding arguments, the following hypothesis is posed: H1: Emotional intelligence negatively affects workplace incivility of Lebanese nurses Understanding the relationship between emotional intelligence and job satisfaction is crucial for organizations that foster positive work environments and enhance employee engagement (Rаmirez- Аsis et аl., 2021). For instance, a meta-analysis by Miao et al. (2017) reported a significant positive correlation between emotional intelligence and job satisfaction, suggesting that individuals with higher emotional intelligence, specifically the first three skills, self-awareness, self-management, and social awareness, tend to experience greater job satisfaction. Keywords: analysis; effect; et al; incivility; intelligence; job satisfaction; journal; nurses; relationship; research; self; study; workplace; workplace incivility
• cana-5145 by None (None) - To examine Parental attachment as a significant predictor of emotional intelligence and self- efficacy among adolescents. Parental attachment would be a significant predictor of emotional intelligence and self-efficacy among adolescents. Keywords: adolescents; analysis; attachment; correlation; efficacy; father; intelligence; mother; relationship; self
• Leading AI-Driven Change: A Framework for Successful Digital Transformation in Enterprises by Sanjay Salunkhe, Sagar Bhadange, Swati Bedekar (2025) - Keywords: Digital transformation, digital technology, artificial intelligence, business process, digital innovation. Means and strategies to select and implement digital technologies realizing company’s objectives in digital transformation have been examined extensively. Keywords: business; digital; intelligence; organizations; technologies; transformation

• Encryption and Decryption using Hill Cipher and Integral Transforms by Gobburi Rekha (2024) - This illustration explains about Hill Cipher using Laplace integral transform. Keywords: Encryption, Decryption, Hill cipher, Laplace transform, Inverse Laplace transform, Kamal transform and Inverse Kamal transform. Keywords: step; transform

• Establishing The Relationship Between Profitability and Growth of Unicorns in India by Dwaraka Nath Mohapatra (2024) - However, most previous research on company growth and profitability has been undertaken independently. Implications of this study Based on the findings, scholars, managers, investors, and policymakers could gain from taking a more interesting perspective on company growth that takes into account its complex and contrasting relationship with profitability. Keywords: analysis; business; company; firm; growth; journal; profitability; relationship; startups; study; unicorns
• Gaps in Access to People's Business Credit Financing for MSEs in Depok, West Java Experimental Design Approach by Irma Setyawati (2025) - Additionally, the increased adoption of technology in marketing was found to positively influence financial access. Data was collected both before and after the intervention to assess its impact on KUR access. Keywords: access; business; coefficient; credit; depok; economic; financial; financing; group; income; increase; indonesia; journal; kur; mses; poverty; understanding
• A Testing Design Approach to the Gap in People's Business Credit Recipients, in Micro Small Business in Depok, West Java, Indonesia by Irma Setyawati (2025) - Employing an experimental design, the study focuses on key factors affecting financial access, including MSEs' comprehension of KUR, business age, financial reporting practices, and the adoption of technology in marketing. Data was collected both before and after the intervention to assess its impact on KUR access. Keywords: access; analysis; business; coefficient; credit; depok; economic; financial; financing; group; increase; indonesia; journal; kur; mses; poverty; understanding
• The Evolution of Sustainable Marketing: Transparency, Trust, and Consumer Engagement by Mani Kapoor (2025) - It concludes that tailoring CSR strategies to local consumer preferences, while maintaining global sustainability commitments, is essential for strengthening brand value and fostering consumer trust in the energy sector. The choice of writing depended on importance to the center subjects of maintainable promoting, buyer trust, and straightforwardness, guaranteeing a different portrayal of points of view from various ventures and locales. Keywords: business; consumer; greenwashing; industry; organizations; practices; shopper; straightforwardness; sustainability; trust

• A Robust Regression Analysis of Factors Affecting Diesel and Petrol Price by P.Anandhi (2025) - Objectives: To identify and understand the key factors influencing the fluctuations in diesel and petrol prices, including supply and demand, crude oil prices, government taxes, and currency exchange rates. Crude oil prices are the primary determinant of diesel and petrol costs, as they account for a significant portion of the production costs. Keywords: analysis; crude; demand; diesel; gas; oil; prices; regression

• To Evaluate the Frequency and the Factors Contributing to Medication Errors in Critical Care Areas of A Tertiary Care Hospital: A Prospective Observational Study by Pankaj Kumar (2025) - Medication errors are estimated to account for 78% of all medical errors in intensive care units, with an average of 1.75 medication errors per patient per day.4In a healthcare team nurses are responsible for medication administration to the patients and is therefore considered as the key faulty component for medication errors. Medication errors are unintended but prominent failures in prescribing, dispensing, and administrating medications. Keywords: administration; care; errors; frequency; medication; patient; safety

• Sea in Language: Exploring Ecological Linguistic Relationship among Bajau, Bugis, and Banua in Berau Regency by Syamsul Rijal (2025) - These informants included 2 speakers of Banua language, 2 speakers of Bajau language, and 2 speakers of Bugis language. Talking about environmental narrative, Bajau language often contains stories that emphasize the importance of maintaining balance with the sea. Keywords: analysis; bajau; banua; berau; bugis; culture; dan; groups; language; marine; people; regency; sea; similarity; vocabulary; vol; word

• Experimental Analysis of Mechanical Tests on a Plate Composed of Banana Fibre by Rohit Jadhao (2024) - 1. INTRODUCTION A lingo-cellulosic fibre called banana fibre is derived from the pseudo - stem of the banana tree. The specific strength characteristics of banana fibre are good and on par with those of more traditional materials like mailto:jadhaorohit@gmail.com Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 Keywords: banana; composites; engineering; fiber; fibre; materials; strength; test
• Editorial by Dr. Pranav Charkha, Dr. Nitin Sherje, Prof. Dr. Sham H. Mankar, (2024) - Application of Nonlinear Analysis in Evaluating Additive Manufacturing Process for Engineering Design Features: A Study and Recommendations: Utilizing nonlinear analysis to enhance additive manufacturing techniques. This special issue aims to explore the latest developments in nonlinear analysis and its diverse applications across engineering disciplines. Keywords: analysis; engineering; materials

• An Analytical Study on the Factors Influencing Consumer Choice and Satisfaction with the Eco-Friendly Practices of 5-Star Hotels of Kolkata by Banani Mondal (2025) - The demand of the consumer to have sustainable travels has been what drives the development of eco-friendly hotels, pointing out the urgency of the hospitality industry to take up green practices for survival purposes and contributing to global sustainability objectives (Gössling& Buckley, 2021). 2.2 Sustainable Practices Exercised at Eco-Friendly Hotels Environmental sustainability has been significant at eco-friendly hotels as this encourages the aspect of environmental protection even as ensuring satisfaction among their clients through sustainable tourism. Keywords: analysis; choice; consumer; eco; factors; green; hospitality; hotels; kolkata; practices; satisfaction; star; sustainability
• Financing Responsibility: The Role of Green Investments and ESG Adoption in Advancing SDG-12 in Chennai by V. Sujatha (2024) - Strengthening financial education programs and promoting transparency in sustainability reporting can improve investor confidence and encourage more businesses to seek sustainable financial solutions. Key Words: Sustainable Finance, ESG Investments, Green Bonds, SDG-12, Stakeholder Awareness 1. INTRODUCTION Sustainable finance has emerged as a key driver in promoting responsible consumption and production, aligning with Sustainable Development Goal 12 (SDG-12). Keywords: awareness; chennai; esg; finance; green; sdg-12; sustainability

• Retail Complaint Patterns: A Statistical and Predictive Analysis Framework by Archana Ratnaparkhi (2025) - I. METHODOLOGY A. DATA COLLECTION AND PREPROCESSING Dataset Loading: The dataset containing information about store complaints is loaded using pandas into a DataFrame called data. No. 8s (2025) 773 https://internationalpubls.com Retail Complaint Patterns: A Statistical and Predictive Analysis Framework 1 Archana Ratnaparkhi, 2Sandeep Kore, 3 Abhijit Chitre 1Electronics & Telecommunication Vishwakarma Institute of Information Technology Pune, India archana.ratnaparakhi@viit.ac.in 2Mechanical Enggineering Vishwakarma Institute of Information Technology Pune, India sandeep.kore@viit.ac.in 3Electronics & Telecommunication Vishwakarma Institute of Information Technology Pune, India abhijit.chitre@viit.ac.in Article History: Received: 08-11-2024 Revised:15-12-2024 Accepted:02-01-2025 Abstract: Customer complaints provide essential insights for improving service quality and customer satisfaction in retail. Keywords: analysis; complaints; customer; fig; store; vol
• Evaluating the Impact of E-Banking Services on Consumer Behavior by Randhir Kumar (2025) - ● Close-ended Questions Used ● The questionnaire includes the following types of close-ended questions: ● Dichotomous Questions (Yes/No): ● Do you use online banking services? ● Daily ● Weekly ● Monthly ● Rarely ● Never ● Likert Scale Questions (Satisfaction, Opinions, Preferences): ● How satisfied are you with online banking services? (1 = Very Dissatisfied, 5 = Very Satisfied) ● How secure do you feel using mobile banking? Keywords: banking; banking services; consumer; customer; internet; journal; mobile; online; services; study
• An Analytical Study on the Relationship Between AI-Driven Tools and Customer Satisfaction in Five Star Hotels of Kerala by Ashok V D (2025) - First, while the global literature has established strong links between AI marketing tools and customer satisfaction, studies rarely account for regional cultural contexts, particularly in India and Kerala. The results confirm that AI marketing significantly contributes to convenience, trust, and engagement in the hospitality sector. Keywords: customer; hospitality; hotels; kerala; marketing; research; satisfaction; tools

• Recent Developments in Number Theory: From Diophantine Equations to Cryptography by Anderson, Douglas R. (2023) - This article delves into the exciting advancements in number theory, focusing on topics such as Diophantine equations, prime numbers, and their applications in modern cryptography. Recent developments in solving Diophantine equations, understanding prime numbers, and advancing cryptography underscore the vitality of number theory in the modern age. Keywords: cryptography; theory
• Analyzing Symmetry in Group Theory: Applications in Crystallography by S. Balamuralitharan (2024) - The strength of piezoelectricity can be attributed directly to crystal structure symmetry since results demonstrated that higher symmetry crystals produce stronger responses. Group theory provides the systematic approach to examine crystal symmetries by enabling researchers to assign crystals to point groups and space groups. Keywords: analysis; crystal; group; material; operations; properties; space; structure; symmetry; theory; vol
• Matrix Transformations on Modulated Orlicz-Type Sequence Spaces by Sanskriti, H. C. Jha (2024) - The boundedness of matrix operators on XM spaces relies on delicate bal- ancing of entrywise growth through modular functions. This pairing between x and y underpins the duality theory of XM spaces, generalizing the well-known relation between ℓp and ℓq spaces. Keywords: analysis; modular; sequence; spaces; theory; type

• Supplier Selection in Supply Chain Management using Intuitionistic Trapezoidal Fuzzy Numbers, Earth Mover's Distance and Fuzzy TOPSIS by G. Padma, K. Srinivasa Rao, N. Ravi Shankar (2025) - This review synthesizes existing research on supplier selection criteria, building upon previous comprehensive reviews The objective is to compile an exhaustive list of supplier selection criteria, serving as a starting point for industries to tailor their specific requirements. Keywords: criteria; membership; selection; supplier; table

• A Nonlinear Analytical Approach for Video Compression in Telecommunication by Sanket B. Kasturiwala (2025) - Methods: Existing methodologies for block matching motion estimation, such as FS, TSS, NTSS, DS, and ETSS, have shown limitations in video compression. There are two main types of video compression: lossless and lossy. Keywords: approach; coding; compression; estimation; motion; search; telecommunication; video
• To Study the Effect of Ruler Approach based Instructional Strategy on Social Emotional Competence and Achievement in English among Viii Grade Students by Pooja Sharma (2025) - Along with mood meter, other strategies of SEL can be used by teachers in the classroom to improve intra and inter personal skills of social emotional competence such as mindful activities, team work to complete any projects or assignments, model social emotional skills, and plan the class events together for taking a rational decision etc. • Findings of the present study revealed that students who were taught through RULER approach based instructional strategies (EG) were able to show better performance in achievement in English as compared to students taught through conventional approach (control group). 05-02-2025 Abstract: Introduction: The development of social emotional competence is a key challenge for young children in present scenario. Keywords: achievement; approach; competence; group; ruler; ruler approach; strategy

• Common fixed point theorems for weakly compatible mappings in Multiplicative Metric Space by Chiranjeevi Perala (2024) - In this paper the concepts of semi-compatible mapping, WCM , reciprocally continuous , conditionally reciprocally continuous mappings and and OWC mappings are used for obtaining the generalization of existing common fixed point theorems proved in [1] which are weaker than those classes of compatible mappings and continuous mappings. Keywords: Multiplicative Metric Space (MMS), fixed point, semi-compatible mapping, reciprocally continuous mappings , weakly compatible mapping, strongly semi compatible mappings, conditionally reciprocally continuous mappings and and OWC mappings. Keywords: mappings; point
• Menger Space and Some Contraction Mappings by Ajay Kumar Chaudhary (2024) - The two different types of contraction mappings in probabilistic metric spaces are the creation of V.M. Sehgal Keywords: Probabilistic metric space, Menger space, Sehgal, and Hicks contraction. Keywords: contraction; menger; metric; point; probabilistic; space
• Common Fixed Point Solutions for Pair of Mappings Via Contraction with Admissibility by D. Sattemma (2024) - Therefore, there exists Nl and an odd integer ‘ h ’ such that 12 += li and hlhij ++=+= 12 . Now, if ,0 then ),,(),,(),,( 2222222   HHJeeHHJ === ++ . Keywords: + +; + =; + ; max; point; 
• GENERALIZED α-ADMISSIBLE ALMOST z-CONTRACTIONS INVOLVING SIMULATION FUNCTIONS IN A METRIC SPACE by DIPTI (2024) - References [1] A. S. Alharbi, H. Alsulami and E. Karapinar: On the power of simulation and admissible functions in metric fixed point theory, Jour. There after the existence of fixed point of α-admissible contraction type mappings in different metric spaces have been studied by several authors (see [8, 9, 10, 16, 18]) and references cited there in. Keywords: point
• Fixed Point Results in G Metric Space via Α-Series by K. Varalakshmi (2025) - Let {Tn}nϵN: ℬ3 →ℬ be a sequence of mappings and g is an identity mapping for 𝜌, 𝝈, 𝝉,𝝒,𝜼,𝜻 ∈ ℬ , {Tn}nϵN with 𝝆 ≤ 𝝒, 𝜼 ≤ 𝝈, 𝝉 ≤ 𝜻 or 𝝒 ≤ 𝝆,𝝈 ≤ 𝜼, 𝜻 ≤ 𝝉, satifies the following conditions. Afterwards, Mustafa et al and many authors [3]-[19] obtained some common fixed-point theorems, coupled and tripled fixed point results for mappings satisfying different contractive conditions in G metric space. Keywords: lim; point
• Some Fixed Point Results for Expansive Mappings in Dislocated Quasi-B-Metric Spaces with an Application to Integral Equations by Dasari Ratna Babu (2025) - Conclusion and future work In this paper, we studied fixed point results for expansive mappings in dislocated quasi-𝑏-metric spaces. Proceeding similar to Case (i), we get {𝑎𝑛} is a 𝑏-Cauchy sequence in 𝑋, which converges to some 𝑢 ∈ 𝑋, which can be shown to be unique fixed point of 𝑇. Case (iii). Keywords: point; space; 𝑑(𝑎
• STUDY OF GENERALIZED α- ADMISSIBLE MODIFIED ALMOST z- CONTRACTIONS VIA SIMULATION FUNCTIONS by SURENDRA KUMAR TIWATI (2025) - 3. A.S. Alharbi, H. Alsulami and E. Karapinar: On the power of simulation and admissible functions in metric fixed point theory, Jour. Subsequently, Abdeljawad[1] introduced a pair of α-admissible mappings satisfying new sufficient contractive conditions, whixh are different from those in[14, 16] and obtained fixed point and common fixed point theorems. Keywords: d(x; point
• Some Common Fixed Point Theorems for Weakly Compatible Mappings in Rectangular S-Metric Spaces by T. R. Shimpi, S. G. Dapke (2025) - sadashivgdapke@gmail.com Article History: Received: 02-01-2025 Revised: 25-02-2025 Accepted: 20-03-2025 Abstract: This paper explores the existence of common fixed points for weakly compatible mappings in the framework of rectangular S-metric spaces, a generalization of traditional S-metric spaces. Keywords: S-metric space; rectangular S-metric space; Common fixed point. Keywords: point; 𝑋 converges
• Some New Types of \(\alpha_\beta - 1\)-admissible Mappings and Fixed Point Results by Dev Raj Joshi (2024) - Introduction In the field of fixed point theory, Banach contraction principle [1] is one of the fundamental tools to explain existence of fixed point in complete metric spaces. 1074-133X Vol 31 No. 3s (2024) 369 https://internationalpubls.com The uniqueness of fixed point is guaranteed by following conditions Theorem 2.3: Let (𝑋, 𝑑) be complete metric space and 𝜇 be a given self- map. Keywords: point

• Hedging Basis Risk in Power Portfolio Using Principal Component Analysis by Ritesh Kumar (2025) - Power portfolio do have substantial Basis Risk and the purpose of this paper is to explain these risks and propose a model to hedge Basis Risks in power portfolio. In such a scenario, the more expensive units within a zone have to come online to meet the load obligation leading to large Basis. 2.3. Keywords: analysis; basis; hedge; load; portfolio
• Design and Seismic Performance Analysis of Multi-Story Building by Vijay Kumat Pandit (2025) - Structural analysis software like STAAD.Pro and ETABS enables engineers to model, analyze, and design structures efficiently. Multi-story buildings require sophisticated analysis to ensure safety and stability under various load conditions. Keywords: analysis; building; etabs; load; staad.pro
• Understanding Drug Resistance of HIV Infection with Multidrug Treatment and Immune Response by Deepmala Kamboj, Kapil Kumar, Vijay Chawla (2024) - 𝛾𝑠)(1 − 𝑓𝑠)(1 − 𝜇𝑚)(𝑁01 −𝑁)𝑇0; 𝑁01 = (𝜇1+𝛼𝑠+𝑏𝑠)𝜇𝑣 𝑘𝑇0𝛼𝑠(1−𝜂 𝑠)(1−𝛾𝑠)(1−𝑓𝑠)(1−𝜇𝑚) , 𝐴1 = 𝜇1 + 𝛼𝑟 + 𝑏𝑟 + 𝛿𝑟 + 𝜇𝑣 , 𝐵1 = (𝜇1 + 𝛼𝑟 + 𝑏𝑟)(𝛿𝑟 + 𝜇𝑣) + 𝛿𝑟𝜇𝑣 , 𝐶1 = 𝑘𝛼𝑟𝛿𝑟(1 − 𝜂 𝑟)(1 − 𝛾𝑟)(1 − 𝑓𝑟)(𝑁02 −𝑁); 𝑁02 = (𝜇1+𝛼𝑟+𝑏𝑟)𝜇𝑣 𝑘𝑇0𝛼𝑟(1−𝜂 𝑟)(1−𝑓𝑟)(1−𝛾𝑟) . 𝑉𝑟 + 𝑘2𝛼𝑟𝛿𝑟(1 − 𝜂 𝑟)(1 − 𝛾𝑟)(1 − 𝑓𝑠)(1 − 𝑓𝑟)𝑑𝐸𝑁𝑇𝑉𝑟, 𝐴4 = 𝑢1 + 𝛼𝑠 + 𝑏𝑠 + 𝜇𝑣 + 𝛿𝑠 + 𝑑𝑥𝐸, 𝐵4 = 𝜇𝑣(𝜇1 + 𝛼𝑠 + 𝑏𝑠) + (𝛿𝑠 + 𝑑𝑥𝐸)(𝜇1 + 𝛼𝑠 + 𝑏𝑠 + 𝜇𝑣), 𝐶4 = (𝛿𝑠 + 𝑑𝑥𝐸)(𝜇1 + 𝛼𝑠 + 𝑏𝑠)𝜇𝑣 Keywords: cells; drug; hiv; load; virus; 𝑇 𝑇𝑚𝑎𝑥; 𝑇1 𝑟; 𝑇1 𝑠; 𝑇2 𝑟; 𝑇2 𝑠
• Analyse the Behaviour of Magnetic Fluid based Transversely Rough Long Bearing by Mital Patel, Niketa J. Savaliya, Mohit Diwan (2024) - It is clearly observed that the dimensionless pressure distribution is presented by equation (10), while the profile of load carrying capacity in dimensional form is determined by equation (12). In another investigation, Bhat and Deheri (1995) compared various geometric configurations of porous slider bearings, reporting that magnetic fluid lubrication generally increases load-carrying capacity and shifts the pressure center toward the outlet. Keywords: bearing; capacity; load; slider
• Nonlinear Analysis of Friction Behavior in Glass Fiber and Organic Clay Reinforced Polyphenylene Sulphide Composites via Pin-on Disc Testing by Vishavjit Bhanavase (2024) - The tribological behavior of the carbon fiber reinforced Polyphenylene Sulphide (PPS) composite coating under dry sliding and water lubrication shows the variations of friction coefficient of the coatings with sliding time in water lubricated condition is steady than that in dry sliding. An increase in the clay % by wt first marked a rise in the value of friction coefficient till it reached 5% by wt, further showing a reduction from 5% to 7%, as shown in table 4. Keywords: analysis; bentonite; clay; coefficient; composite; figure; friction; increase; load; pps; sliding; wear

• An Interval approach to solve Fuzzy Fractional Programming Problem as a Fuzzy Linear Complementarity Problem by Jenifer D H (2024) - Multiplication: �̃��̃� = [𝑟1, 𝑟2] [ 𝑠1, 𝑠2] = [(m(�̃�) m(�̃�)) - k, (m(�̃�) m(�̃�)) + k ], Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 Subtraction: �̃� − �̃� = [𝑟1, 𝑟2] - [ 𝑠1, 𝑠2] = [(m(�̃�) - m(�̃�)) - k, (m(�̃�) - m(�̃�))+ k ], where k = { (𝑠2+𝑟2)−(𝑠1+𝑟1) 2 }. Keywords: 0,0; complementarity; linear; problem; programming; ̃ �; � ̃
• Variational Analysis of a Dynamic Frictional Contact Problem with Adhesion and Long Memory in Viscoelastic Materials by H. Hammar, S. Boutechebak (2025) - if 𝑗 = 1. Doing the addition so we have (�̈�𝜂1𝑞1 − �̈�𝜂2𝑞2 , �̇�𝜂2𝑞2 − �̇�𝜂1𝑞1) + (𝒢�̇�𝜂1𝑞1 − 𝒢�̇�𝜂2𝑞2 , �̇�𝜂2𝑞2 − �̇�𝜂1𝑞1) +𝑗𝑞1(�̇�𝜂2𝑞2) − 𝑠)𝜀(𝑢(𝑠))𝑑𝑠 𝑎. 𝑒. 𝑡 ∈ [0, 𝑇] 1 0 ((𝑢,̈ 𝜔 − �̇�)) 𝐻 + (𝒜𝜀(𝑢), 𝜀(𝜔) Keywords: problem; | �; ̇ �; − �; � ̇; � 𝜂1𝑞1(𝑠; 𝑉′×𝑉; 𝒢 �
• A Methodology for Solving Fuzzy Linear Programming Problem as a Fuzzy Linear Complementarity Problem by Jenifer D H (2024) - W - Mz = q, gives [ 𝑤1 𝑤2 𝑤3 𝑤4 ] - [ (0,0,0) (0,0,0) (−4,−3,−2) (−4,−2,0) (0,0,0) (0,0,0) (−3,−2,−1) (−3,−1,1) (2,3,4) (1,2,3) (0,0,0) (0,0,0) (0,2,4) (0,1,2) (0,0,0) (0,0,0) ] Bv W1 W2 W3 W4 Z1 Z2 Z3 Z4 q W1 (1,1,1) (0,0,0) (0,0,0) (0,0,0) (0,0,0) (0,0,0) (2,3,4) (1,2,3) (1,2,3) W2 (0,0,0) (1,1,1) (0,0,0) (0,0,0) (0,0,0) (0,0,0) (0,2,4) (0,1,2) (4,5,6) W3 (0,0,0) (0,0,0) (1,1,1) (0,0,0) (-4,-3,-2) (-4,-2,0) (0,0,0) (0,0,0) (-7,-6,-5) W4 (0,0,0) (0,0,0) (0,0,0) (1,1,1) (-3,-2,-1) (-3,-1,1) (0,0,0) (0,0,0) (−4,−2,0) W1 (1,1,1) (0,0,0) (0,0,0) (0,0,0) (0,0,0) (0,0,0) (2,3,4) (1,2,3) (1,2,3) W2 (0,0,0) (1,1,1) (0,0,0) (0,0,0) (0,0,0) (0,0,0) (0,2,4) (0,1,2) (4,5,6) W3 (0,0,0) (0,0,0) (1,1,1) (-2,-1.5,-1.3) (-0.7,0,2) (-2,-0.5,2) (0,0,0) (0,0,0) (-5,-3,1) Z1 (0,0,0) (0,0,0) (0,0,0) (-1,-0.5,-0.3) (1,1,1) (-1,0.5,1) (0,0,0) (0,0,0) (0,1,1.3) W1 (1,1,1) (0,0,0) (0,0,0) (0,0,0) (0,0,0) (0,0,0) (2,3,4) (1,2,3) (1,2,3) W2 (0,0,0) (1,1,1) (0,0,0) (0,0,0) (0,0,0) (0,0,0) (0,2,4) (0,1,2) (4,5,6) W4 (0,0,0) (0,0,0) (-0.8,-0.7,-0.5) (1,1,1) (-1.5,0,0.4) (-1.5,0.3,1) (0,0,0) (0,0,0) (-0.7,2,2.5) Z1 (0,0,0) (0,0,0) (-0.5,-0.3,-0.2) (0,0,0) (0,1,1.4) (0,0.7,0) (0,0,0) (0,0,0) (0.8,2,2.5) (Table 5.1) Keywords: 0,0,0; complementarity; linear; problem; programming
• Direct Approach to a Generalized Fractionalorder Thermoelastic Problem for a Thickcircular Plate with Lord-Shulman and Classical Coupledthermoelastic Model by Vidhya G. Bhandwalkar (2025) - E. M. Hussain, “Fractional order thermoelastic problem for an infinitely long solid circular cylinder”, Journal of Thermal Stresses, 38, 133—145, 2014. S. G. Khavale, K. R. Gaikwad, “Fractional order thermoelastic problem of thin hollow circular disk and its thermal stresses under axi-symmetric heat supply”, Design Engineering, 2021(9), 13851–13862, 2021. 27. Keywords: analysis; order; problem
• Applying a Fuzzy Ordering Approach in Transportation Problems with Decagonal Intuitionistic Fuzzy Numbers by Nathiya K (2024) - Applying accuracy function on decagonal Intuitionistic Fuzzy Number [(1,2,3,5,6,7,8,10)(3,6,7,8,9,10,12,13)], we have R(Aoc)=10.5 Similarly applying for all the values, we have the following table after ordering 3.2 Applying VAM Method B1 B2 B3 Supply A1 12.5 11.5 9.5 [10.5] 10.5 A2 10.5 [7.25] 6.5 [7.25] 13.5 12.5 A3 11.5 [6.25] 9.5 8.5 [5] 6.25 Demand 11.5 7.25 13.5 Since the number of occupied cell m+n−1 = 5 and are also independent. Applying accuracy function on decagonal Intuitionistic Fuzzy Number (8,9,10,11,12,13,14,15,16,17)(6,7,8,9,10,12,13,14,15),we have R(Aoc)=12.5 Similarly applying for all the values, we have the following table after ranking Reduced Table B1 B2 B3 Supply A1 12.5 10.5 9.5 13.5 A2 10.5 6.5 13.5 11.5 A3 Keywords: numbers; problem; solution; transportation

• The Role of Traditional Cuisine in Enhancing Tourist Satisfaction: An Exploratory Study on Hamirpur by Yashveer Bhardwaj (2025) - Culinary-gastronomic tourism: A search for local food experiences. Despite the increasing popularity of culinary tourism, Hamirpur’s rich gastronomic heritage remains underexplored as a strategic asset for attracting tourists. Keywords: cuisine; culinary; food; hamirpur; satisfaction; tourism
• An Analytical Study on the Demographic Variations and Key Influencers of Street Food Consumption in Mumbai by Sanjay Kumar, Gaurav Bathla (2025) - The major objectives of this study are to identify which are the key influencers driving the consumption of street food, and then it tries to compare the variations across demographic groups. The increasing popularity of eating street food can be accounted for by its convenience, affordability, and sensory appeal. Keywords: age; consumers; consumption; convenience; factors; food; food consumption; groups; mumbai; street food; taste

• Narrativizing Silence: Autobiographical Voices in Tehmina Durrani’s my Feudal Lord by Mariya Hussain, (2025) - Writing gives Durrani power and aids in the development of her identity because the autobiographical genre gives her the freedom and room to speak out about the exploitation and mistreatment she experienced in her culture on both levels of her life and career. No. ICMASD (2025) 414 https://internationalpubls.com Narrativizing Silence: Autobiographical Voices in Tehmina Durrani’s my Feudal Lord Mariya Hussain1, Nancy Paul1*, Rashid Khan1 1Department of English, CT University, Ludhiana Punjab India Corresponding author’s email id: nancy17642@ctuniversity.in Article History: Received: 12-12-2024 Revised: 25-01-2025 Accepted: Keywords: autobiography; durrani; life; lord; memoir; mustafa; silence; tehmina; women; writing
• Bridging Generations: Feminist Narratives in the Works of Shashi Deshpande and Preeti Shenoy by Sonika Rani (2025) - Basu explores Shenoy’s depiction of modern Indian women balancing tradition and ambition. Her analysis of Deshpande’s novels reveals how they challenge patriarchal structures by grounding feminist narratives in the everyday lives of Indian women, offering a critique of traditional societal norms. Keywords: deshpande; indian; shenoy; women
• Gender, Nature, and Equity: An Ecofeminist Approach to Justice and Sustainability in Literary Criticism by Monalisa Pradhan (2025) - The socio-environmental and gender resistance entanglements of Roy and Ghosh enact the necessity to link social with environmental justice (Tabassum, 2024). Ecofeminism and environmental justice: Human/non-human interconnections. Keywords: analysis; ecofeminist; gender; ghosh; nature; roy; women
• Gendered Resistance: Exploring Subaltern Voices in Ajeet Cour’s Koora Kabara by Darspreet Kaur (2025) - The paper delves into themes of self-realization, confidence, and the challenges Indian women face in a male-dominated society. The British colonial era significantly influenced the roles and identities of Indian women, as colonial beliefs strengthened patriarchal standards and restricted women's independence. Keywords: ajeet; cour; gender; kabara; koora; life; resistance; women
• cana-5146 by None (None) - Introduction The subject of women identity in Indian social context is very dynamic and uncertain because she can ever be individual or herself. The paper presents the tribulation of women identity that debase gender equality notion in patriarchal social system. Keywords: identity; life; mother; virmati; women
• Reimagining Homeric Women : An Analysis of Pat Barker’s the Silence of the Girls by Jon Bhat (2025) - 05-02-2025 Abstract: Margaret Atwood’s The Penelopiad (2005) and Pat Barker’s The Silence of the Girls (2018) both offer feminist reimaginings of Homeric women, particularly Penelope and Briseis, who were originally marginalized in The Odyssey and The Iliad, respectively. The paper makes an attempt to analyse the host of ways through which women try to reclaim their space, voice and a definite position or standing to narrate the plight of the women in Homeric times. Keywords: achilles; barker; briseis; story; war; women
• Women as Victims of Poverty and Patriarchy: A Feminist Study of Gurdial Singh’s Selected novels by Rupinder Kaur Bhullar, Shafayat Hussain Bhatt (2025) - 5. OBJECTIVES OF THE RESEARCH • To discuss and analyse the marginalised representation of women in Gurdial Singh’s selected novels such as The Last Flicker, The Survivors and Parsa examining the role of female characters and their significance in the narrative. No. ICMASD (2025) 1817 https://internationalpubls.com Women as Victims of Poverty and Patriarchy: A Feminist Study of Gurdial Singh’s Selected novels Rupinder Kaur Bhullar1, Shafayat Hussain Bhatt1 1Department of English, CT University, Ludhiana Article History: Received: 12-12-2024 Revised: 25-01-2025 Accepted: 05-02-2025 Abstract: Gurdial Singh is a renowned and celebrated Punjabi novelist known for his contribution to Punjabi literature. Keywords: characters; female; gurdial; singh; society; women

• To Study the Impact of Online and Offline Advertisement on Brand Loyalty of H. P. Milkfed by Niharika Agnihotri (2025) - This research investigates the influence of online and offline advertisements on the brand loyalty of H.P. Milkfed. In the dairy sector of Himachal Pradesh, H.P. Milkfed, a government-supported cooperative, has established a strong reputation. Keywords: brand; h.p; loyalty; marketing; milkfed

• Bootstrapping Collinear Poisson Regression System: A Simulation Study by Mohamed A. Gharib (2024) - Poisson regression model is classified as a generalized linear model which depends on the log-link function. Generally, multicollinearity results inability to conduct accurate statistical inference for the parameters of Poisson regression model. Keywords: b10; b11; b20; bootstrap; poisson; regression

• Diagnosis of Type-2 Diabetes using Multi-Criteria Decision-Making Techniques with Diverse Operators by Prabakaran R (2025) - These operators facilitate a nuanced assessment of risk factors, allowing for a more comprehensive and structured evaluation of their impact on Type 2 diabetes mellitus (T2DM). The results demonstrate how different methodologies influence the prioritization of risk factors, contributing to a more refined approach to decision-making in T2DM management. Keywords: analysis; blood; diabetes; factors; insulin; risk; 𝔐 𝔐; 𝔐 𝕸𝕴; 𝕬𝟏𝟎; 𝕮𝟒 𝕬𝟏; 𝕷 𝕷; 𝕷 𝕸𝕷; 𝕸 𝕸; 𝕸 𝕸𝕴; 𝕸𝕴 𝕳; 𝕸𝕷 𝔐; 𝕸𝕷 𝕸; 𝖁𝕷 𝕸𝕷
• Emotional Finance and Investment Behavior: An Analytical Examination of Patterns in Punjab by Malkeet Singh (2025) - Emotional finance, which combines principles of traditional finance and psychology, emphasizes how emotions such as fear, overconfidence, and impulsivity influence investment decisions, often leading to departures from rational behavior. Parveen et al. (2020) and Tomar et al. (2021) focus on emotional factors such as market overreactions and present bias, which play a critical role in financial decision-making. Keywords: analysis; behavior; decisions; factors; fear; finance; impulsivity; investment; overconfidence; traits

• Extorial in RL Circuits and Heat Flows by T. Sathinathan (2024) - There are various types of difference equations namely ordinary, delay, advanced, neutral, quasilinear, half linear, etc. The basic theory of difference equations is based on the difference operator Δ defined as Δ𝑢(𝜅) Keywords: difference; equation; −𝑅 𝐿
• Steady State Dispersion of Non-buoyant Air Pollutants with Variable Wind Profile and Removal Mechanism by Prem Sagar Bhandari, et al. (2023) - In order to illustrate the behavior of the concentration profile of non buoyant air pollutants, we have displayed the concentration distribution graphically for variety of conditions: Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 30 No. 4 (2023) 173 https://internationalpubls.com The concentration profile of non-buoyant air pollutants is computed and variations of the downwind and crosswind distances for a range of parametric values are analyzed. Keywords: air; dispersion; equation; pollutants; wind
• Optical Solitons and Lie Symmetry Analysis of Kaupnewell Equation by Arshdeep Kaur (2025) - Keywords: Lie Classical method, Kaup–Newell equation, G ′ G –Expansion Method, Symme- try reductions, Optical Solitons. 2 Lie Symmetry Analysis Recently, symmetry analysis has become popular for studying differential equations. Keywords: a0(−2+ba0; a21b; ba21; equation
• Some Exact Solutions of Unsteady Viscous Incompressible Fluid Flows with Topology Conservation of Vorticity Vector Field by Ansatz Method by N. Punitha (2024) - Keywords: Topological conservation, Navier-Stoke equation, vorticity equation, Non linear algebraic equations. [9] Naoki Sato, Michio Yamada, Vorticity equation on surfaces with arbitrary topology embedded in three- dimensional Euclidean space, Journal of Mathematical Physics, 63(9), 2022. Keywords: equation
• Lie Symmetry Analysis and Similarity Solutions for Two-Dimensional Heat and Wave Equations by Yatin Adhana (2024) - A beginner-friendly guide to symmetry methods, with practical examples of applying Lie symmetries to physical problems, including heat diffusion. A beginner-friendly guide to symmetry methods, with practical examples of applying Lie symmetries to physical problems, including heat diffusion. Keywords: equation; symmetry
• A Study of a Modified Equation of State In (2+1)-Dimensional Holographic Cosmology by S. G. Ghodmare, K. P. Pande (2024) - No. 8s (2024) 1255 https://internationalpubls.com The goal of this study is to re-examine earlier research on cosmological models in (2+1) dimensions, where the mathematical simplicity could aid in a deeper comprehension of the physics. Numerous endeavours have been made to apply various holographic principle formulations to different cosmological models [10–13]. Keywords: 1)-dimensional; equation; gravity; principle; 𝑆 𝐴

• Geometrical Abstraction on VAN Hiele Levels Among Mathematics Undergraduates by Asdar Ahmad (2024) - Abstract: This research aims to analyze the geometrical abstraction on van Hiele levels among Mathematics Undergraduates at The State University of Makassar by utilizing an explanatory sequential mixed methods approach. Future studies are recommended to explore the relationship between van Hiele levels and geometrical abstraction. Keywords: abstraction; concepts; hiele; level; mathematics; undergraduates; van

• Edge Irregularity Strength of Binomial Trees by S. Muthukkumar (2024) - [1] introduced a new parameter called edge irregularity strength of graphs. For an exhaustive survey on edge irregularity strength of graphs, we refer to the dynamic survey on graph labeling by Gallian [7]. Keywords: edge; strength
• Preparation and Analysis of New Hybrid PAEK Nano-Composites Containing MWCNT, Inorganic and Organic Nano-Particles by Shripad Nirantar (2024) - In addition to that thermal and mechanical properties of PEEK nano composites were linearly increases with MWNT percentage. They observed that thermal and mechanical properties of PEEK nano composites increased due to efficient dispersion of SWCNT. Keywords: composite; filler; nano; nanofiller; paek; peek; properties; strength; tensile; vol; ws2

• An Aesthetic Analysis of Socio-Mythical Representation of Hunger in Indian Graphic Novels: A Study on Amruta Patil’s ‘Aranyaka’ by Hardik Shiroya, Suman Pandey (2025) - No. 9s (2025) https://internationalpubls.com 3250 An Aesthetic Analysis of Socio-Mythical Representation of Hunger in Indian Graphic Novels: A Study on Amruta Patil’s ‘Aranyaka’ Hardik Shiroya1*, Dr. Suman Pandey2 1*Research Scholar GLS Institute of Design, GLS University, Ahmedabad, Gujarat, India, 26-10-2025 Abstract: This paper examines Aranyaka: The Book of the Forest (2019) by Amruta Patil and Devdutt Pattanaik, reimagining ‘hunger’ as a multi-layered aesthetic, philosophical, and socio-mythical construct. Keywords: amruta; analysis; eco; forest; hunger; panel; patil

• Even Vertex Odd Edge Root Square Mean Labelling Of Path Related Graphs by K. N. Babu (2024) - Illustration: Figure 1 shows G = P7 is Even vertex odd edge root square mean labelling. If n = 4 K 1 ,4 is not even vertex and odd edge labelling graph Since the graph depicts that the edge label 5 repeated two times Keywords: edge; mean
• On (α, β)-Total Edge Irregularity Strength of Some Graphs by P. Pandiaraj (2025) - = 2𝑛𝔦 − 2𝑛 − (𝔦2 + 3𝔦 − 7), 𝔦 ≠ 1, 𝑛 − 1 , 𝔦 + 1 ≤ 𝑗 ≤ 𝑛, 𝜌(𝑢𝑛−1𝑢𝑛) = 𝑛2 − 5𝑛 + 9 Induced weight function for edge 𝜓: 𝐸(𝐾𝑛) → {3, 5, 7, … ,1 − 𝑛 + 𝑛2} is given by 𝜌(𝑢1𝑢𝔦) → {3, 5, 7, … ,8𝑛 − 9} is given by 𝜓(𝔞𝒿𝔞𝒿+1) = −3 + 8𝒿, 𝜓(𝑣𝓉𝑣𝓉+1) Keywords: edge

• “Are All Low-Income Consumers are Stereotype in Respect of Their Consumption Expendituere on Various Items?” A Comparative Study by K. Abraham (2024) - The objectives of the study are to know the pattern of consumption expenditure of low-income consumers on different items and to know the variation in the consumption expenditure of low-income consumers on essential commodities, durable goods and non- durable goods. Keywords: Low-Consumer behaviour, comparative study, Consumption expenditure, stereotypic behaviour. Keywords: consumption; expenditure; goods; income

• Visitors Satisfaction Level with Sustainable Tourism Practices Exercised at World Heritage Sites of Madhya Pradesh by Taru Saxena (2025) - The aim of the study is to examine visitors satisfaction level with sustainable tourism practices at world Heritage Sites in Madhya Pradesh. First hypothesis is Satisfaction level with sustainable tourism practices shows difference for demographic profile of Respondents. Keywords: heritage; heritage sites; level; madhya; practices; pradesh; satisfaction; sites; tourism; world; world heritage
• Customer Satisfaction Regarding Online Banking Services: A Comparative Study of Public and Private Sector Banks in Punjab by Gurjeet Kaur (2025) - The comparative analysis indicates that private sector bank customers are generally more satisfied than those of public sector banks across all factors. No. ICMASD (2025) 805 https://internationalpubls.com Customer Satisfaction Regarding Online Banking Services: A Comparative Study of Public and Private Sector Banks in Punjab Gurjeet Kaur1, Ashima Thakur1, Swati1 1 Department of Management Studies, C T University, Punjab, India Article History: Received: 12-12-2024 Revised: 25-01-2025 Accepted: 05-02-2025 Abstract: This study investigates customer satisfaction with online banking services provided by public and private sector banks in Punjab. Keywords: banking; banks; public; respondents; satisfaction; sector

• Sustaining Feminist Mnemonics: A Study of Temporal and Spatial Ecology of Memory in Geetanjali Sree’s “The Tomb of Sand” by Ananya Dasghosh (2025) - As Assmann (2011) argues, “cultural memory” operates as a dynamic system of meaning-making that mediates between the past and the present, enabling societies to preserve, reinterpret, and transmit their collective histories. Central to the novel’s thematic fabric is its focus on sustainability, not in the environmental sense alone, but as a mechanism for sustaining cultural memory, shared identities, and collective resilience in the face of historical disjuncture. Keywords: assmann; border; history; memory; novel; partition; sand; shree; tomb; trauma

• Some Results of Data Encryption and Decryption using Euler’s Totient Function by Gobburi Rekha (2024) - On converting the numbers in matrix E into symbols we get ¸ÕENQR¸×DC2 NULݸDELÝ which acts as the cipher text. Therefore, on converting the numbers of matrix D into alphabets we get the message as “Estimation”. Keywords: matrix; mod
• Mathematical Modelling for Failure Analysis of Composite Drive Shaft Using Modal Flexibility and Curvature Method by Rakesh Raushan (2024) - Figure 3 represents the experimental set-up for torsional test of composite drive shaft. To construct an artificial crack on intact composite drive shaft, finite element analysis is first used to identify the damage-sensitive area. Keywords: analysis; beam; carbon; composite; crack; curvature; damage; drive; drive shaft; flexibility; journal; mass; matrix; modal; shaft
• The Normalization of Complex Intuitionistic Fuzzy Matrices by Jaikumar. S, Ragavan. C (2025) - =0.2 3.3 Application of intuitionistic fuzzy matrix: 3.3.1 Decision-Making Problems (Multi-Criteria Decision Analysis): Intuitionistic fuzzy matrices are often used in decision-making problems where decisions depend on multiple criteria, and there is uncertainty in the assessment of each criterion. 209-220 [11] Enginoǧlu S., Arslan B., “Intuitionistic fuzzy parameterized intuitionistic fuzzy soft matrices and their application in decision-making”, Computational and Applied Mathematics, vol. 39, Article No. 325, pp. 1-20, 2020. Keywords: + 𝑖𝛽11; + 𝑖𝛿22; + 𝑖𝜃11; matrices 𝐴𝐸; matrix; 𝐵𝐹 ̅̅̅̅; 𝑁𝑜𝑟𝑚 �; 𝑁𝑜𝑟𝑚 𝐵𝐹; 𝑋11 𝑋12; 𝑋12 𝑋21; 𝑋22; 𝛼11 +; 𝛾22 +; 𝜇11 +

• Frames of Promise in Biden’s Presidential Addresses by Mister Gidion Maru (2025) - The analysis identified twenty promises are explicitly voiced in Biden’s nomination, acceptance, inaugural, and state of the union speech as seen in the following diagram as follows: This figure implies that each of his speech, President Biden, from his time of presidential nomination to presidency, expressed his promise to American people, and even to the international communities. In his Nomination Speech, Biden declared that his administration would not tolerate foreign interference, saying, Under President Biden, America will not turn a blind eye to Russian bounties on the heads of American soldiers. Keywords: american; analysis; biden; economic; frames; future; line; nation; people; president; promise; public; social; speech; speeches; trump
• The Cultural Significance of Taboo Expressions in Japanese Wedding Ceremonies: An Academic Exploration by Diane M Tengker, Sandra Rakian (2025) - Keywords: Taboo words, Japanese traditional ceremonies, moral values 1 Introduction Taboo, as an integral part of culture, is a shared phenomenon across the globe (Brown, 1987). Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 799 https://internationalpubls.com The Cultural Significance of Taboo Expressions in Japanese Wedding Ceremonies: An Academic Exploration Diane M Tengker*a, Sandra Rakianb Universitas Negeri Manado *Corresponding author Email: *dianetengker@unima.ac.id Article History: Received: 7-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract: This article aims to analyze the taboo expressions in Japanese wedding ceremonies. Keywords: bride; ceremonies; expressions; groom; japanese; people; society; taboo; wedding; words
• The Double Consciousness of the Diaspora: Memory and Assimilation in Andrea Levy’s Novels by Rashid Khan (2025) - Levy’s characters exemplify the fragmented yet resilient identities of diasporic individuals, offering a lens through which to explore the ongoing negotiation of cultural identity. Cultural identity and diaspora. Keywords: british; consciousness; diaspora; diasporic; faith; identity; jamaica; levy; olive; people
• A Perspective of Eco-Critical Postcolonial Study of Amitav Ghosh's the Living Mountain: A Fable for our Times by Anshu (2025) - It marked the beginning of the the postcolonial period but the nature had been disturbed by the Anthropoi and now the warring people continued to walk on the footsteps of the Anthropoi, creating more ecological imbalance in the nature and toa chieve their aim, they confined their own fellowmen under the guns of newly formed legions of armed guards, picked from our own villages These were the Kraani of the Varvaroi (Ghosh 21). Man depends upon nature for many things like water, fruits, air, mineral resources, etc. Keywords: anthropoi; mountain; nature; people; valley
• British Administration in the Punjab from 1849-53; Structural Changes and Development by Harbhinder Singh (2025) - (Mathur, 1973) has written 8 chapters in his book British Administration of Punjab (1849-75). [8] Mathur Y.B. (1973), British Administration of Punjab (1849-75) Keywords: administration; board; british; henry; lawrence; people; punjab
• Subaltern Voices and Cultural Memory in Mammang Dai’s "The Legend of Pensam" by Anju Bala (2025) - Subaltern Voices and Cultural Memory in Mammang Dai’s The Legend of Pensam Tribal literature especially through the oral tradition has been used as a record of the histories, struggles, and identities of indigenous people. Dai’s representation of cultural creolization is a universal experience of indigenous peoples in the contemporary world. Keywords: adi; adi people; cultural; culture; dai; legends; pensam; people; tribe
• Recent Advances in Devices for the Visually Impaired: A Review Article by Tridip Puzari (2025) - In a country like India affordability and accessibility of such devices will be a challenge, particularly the people living in rural areas as well as for the economically backward. ADVANCED SMART DEVICES FOR MOBILITY AND NAVIGATION: Various devices with modern technologies have been developed for the visually impaired in past few years. Keywords: devices; glasses; life; navigation; patients; people; sensors
• Transforming Public Spaces through Place-Making by Aafreen Saleem (2025) - Case studies have been done on western public places and Indian public places to study the negatives and positive points of Indian public places and the various factors that are responsible for it. The survey involved both the visitors and the resident of the place. CRITERIA FOR SAMPLE SELECTION 3 different types public places were considered for the study i.e. 2 waterfronts , a junction and a park .the Keywords: community; making; people; place; public; space; study
• Religious Practices in Western Himalaya; Historical and Ritualistic Analysis of Naga Cult in Pangi Valley of Himachal Pradesh by Rajender Kumar (2025) - The antiquities discovered so far during this period unmistakably prove the prevalence and popularity in Naga worship in Orissa.8 Literary References First literal evidence related to Naga cult in Kashmir is found in the Mahayamsha. The Naggar Castle near Manali is a notable site associated with Naga worship. Keywords: chamba; cult; day; deity; devta; naag; naga; naga cult; pangi; people; ritual; temple; village; villagers; vol; worship; year

• Solution of Cauchy and Boundary Problems of Discrete Multiplicative-Poverative-Additive Derivative Third-Order Equation by Aygun Mammadzada (2025) - 3. Literature review To my knowledge, discrete derivative equations have formed the basis of an expanding research area, especially for non-linear systems, with applications ranging across numerical analysis, mathematical modelling and dynamical systems. Discrete Derivative Equations Such equations where the derivative is expressed in terms of differences instead of continuous rates of change are called discrete derivative equations. Keywords: boundary; derivative; discrete; equations; solution
• Anisotropic Charged Spheres in Higher Dimensional Rosen's Bimetric Relativity Theory by R. T. Katre (2024) - − 𝑛𝜆′ 2𝑟 ] + 𝑛(𝑛−1) 2𝑟2 = − 3 2𝑎2 𝑒−𝜈 + .8𝜋𝜌 + − 𝛥 = 3 2𝑎2 𝑒𝜈 − 8𝜋𝑃𝑟𝑒 . Keywords: equations; field; 𝑇𝑖𝑗

• The Impact of Knowledge Management Strategies on Organizational Productivity in the Retail Sector at Jiangxi Province in China by Luo Zhuo (2025) - These findings emphasize the importance of aligning knowledge management practices with organizational strategies and underscore the need for a holistic approach to knowledge management in enhancing organizational performance. These results contribute to the growing body of literature on knowledge management in the retail industry, offering both theoretical and practical implications for organizations seeking to improve their productivity through knowledge management practices. Keywords: kmp; kms; kmst; knowledge; knowledge management; organizations; practices; productivity; research; retail; study
• Exploring Investor Decision-Making through the KAP Model: Knowledge, Attitudes, and Practices Regarding ESG Disclosures in the Oil and Gas Sector by Tanushree Bhattacharjee (2025) - Overall, the findings underscore the importance of enhancing investors' knowledge and attitudes to promote better ESG investment practices. Companies with strong ESG practices are often viewed as better positioned to adapt to regulatory changes, such as stricter environmental laws, carbon pricing, or increased pressure from governments and consumers to reduce greenhouse gas emissions. Keywords: disclosures; esg; gas; investment; investors; knowledge; oil; practices; sector

• A Study on Fuzzy Network Graph Used for Online Hotel Reservation Using MATLAB by K.Bhadmavadhi (2025) - [3] A. Rosenfeld, Fuzzy graphs, in: L. A. Zadeh, K. S. Fu, M. Shimura (Eds.), Fuzzy Sets and Their Applications, Academic Press, New York (1975), 77-95. [9] Dr. A. Rajkumar, and J. Sharmila Jessie Ignatia, “A Method for Solving Bottleneck-Cost Transportation Problem Using Fuzzy Optimization Trapezoidal Fuzzy Numbers With λ-Cut and Ranking Method”, Advances and Applications in Mathematical Sciences Mili Publications, India. Keywords: addmf(fis; fis; input
• N-bit Multiplexers Using Verilog by Ponnala Lakshmi Prasanna (2025) - Figure1: Block Diagram of 1-bit 8 to 1 Multiplexer The Block Diagram of 8 to 1 Multiplexer consists of 8 inputs from I7 – Io and output Y with select lines S2 – So. [4] S. Vijayakumar and B. Karthikeyan, “Mixed style of Low Power Multiplexer Design for Arithmetic Architectures using 90nm Technology ”, Proceedings of the 12th international conference on Networking, VLSI and signal processing (ICNVS), pp. Keywords: bit; input; lines; multiplexer; output; vol

• Dual Hesitant Fuzzy Set based Knowledge and Accuracy Measure with its Application to Power Crisis and Pattern Detection by Alisha Aggarwal (2025) - In order to address these issues, we present a novel solution to DHF entropy, which we refer to as DHF knowledge measure. In Examples 1-3, we use DHF entropy and DHF knowledge measure to compute weights. Keywords: dhf; knowledge; measure; pattern 𝑇; vol; 𝑄1 𝑄2; 𝜎(𝑗

• Extension and Generalization of Banach Contraction in Metric and in Menger Space by Ajay Kumar Chaudhary (2024) - Generalization of contraction mapping in Menger Space: Sehgal [50] first defined probabilistic contraction in his PhD dissertation in 1966 as: Definition 4.1: Let (𝑋, 𝐹) be a probabilistic metric space. [36] Kincses J, and Totik V. (1990), Theorems and counter examples on contraction mapping, Mathematic Balkanica, new series vol 4, Fasc 1. Keywords: mapping 𝑇; metric; space
• (α,β)-Metric on Cartan Space by Robin Kumar (2024) - The relation between Cartan space and Finsler space has been studied by F. Brickell R. Miron ( [6], [7]) introduced the theory of Hamiltonian space, He proved that Cartan space is a particular case of Hamilton space. Keywords: cartan; space; space 𝐶
• Invariant Submanifolds of Generalized Sasakian-Space-Forms by Sagarika Nandy (2025) - This is a more involved way of describing things in terms of curvature tensors. Curvature tensor has also been largely established. Keywords: contact; curvature; space; submanifolds; tensor; − 𝒀; 𝒀)𝒁; 𝝈(𝑼
• On the Geometry of Grassmannian Manifold by T. Venkatesh (2024) - Before we define them formally some background of affine and projective vector spaces are defined. 12-05-2024 Abstract: We start with basics in Differential manifold such as complex manifolds, tangent space to a manifold, complex sub manifolds and sub varieties and specified their generalizations to projective spaces with its rich topological and smooth manifold structure. Keywords: complex; space; 𝐶𝑛+1
• Physics and Mechanics use Geometric Algebra by Minavere Hasani Berisha (2024) - Clifford algebra, often known as geometric algebra, is a mathematical framework that expands the principles of vector algebra to encompass objects with greater dimensions. In contrast to vector algebra, geometric algebra inherently supports an unlimited number of dimensions and any quadratic form, as is the case in relativity theory. Keywords: algebra; dimensions; mechanics; physics; space; subspace; vector

• Navigating Transitions: Factor Analysis of Competencies in Military Officers by Abhinav Kumar (2024) - A model of command, leadership and management competency in the British Royal Navy. An analysis of the literature identifies various competencies including skills and traits which are the characteristics of military officers. Keywords: ability; analysis; competencies; competency; defence; factor; individual; military; officers; team
• Heat Transfer and Friction Characteristics of Rectangular Solar Air Heater Duct using Square Protrusions as Artificial Roughness by Varinder Singha (2025) - However in case of protruded absorber plate friction factor is more as compared to smooth absorber plate. 3: Schematic of roughened absorber plate. Keywords: absorber; factor; friction; number; nusselt; plate

• A Modified Trapezoidal Technique with Improved Accuracy of Nonlinear Algebraic and Transcendental Equations by Inderjeet, et al. (2023) - 15-10-2023 Abstract: For the purpose of evaluating numerical integration, a modified trapezoidal rule is presented in this paper; the proposed method appears to be an effective modification of the trapezoidal rule, which consists of the arithmetic mean of subintervals, while the proposed method uses the arithmetic mean and heronian mean at the subintervals. Utilizing numerical experiments on the basis of local truncation error, the modified and original trapezoidal rules are compared Keywords: Arithmetic mean, heronian mean, Modified trapezoidal technique, numerical examples, accuracy, and numerical integration. Keywords: integration; numerical; rule; solution; trapezoidal
• Evaluating Analytical Approximations and Numerical Solutions for Volterra’s Population Growth Equation by S U Kore, S S Bellale, Y M Muley (2025) - Future work could explore extending the hybrid method to equations with variable coefficients or developing automated coefficient computation for series solutions. While it yields the same result here, it offers a framework for equations where direct series methods are intractable. Keywords: series; solution; 𝑛=0

• The Home Minister’s Authority in Book Banning: A Legal Contextual Analysis by Mohd Zamre Mohd Zahir (2025) - A list of books challenged annually by public libraries and schools in the United States is maintained by ABFE, a group that battles book bans nationwide from its headquarters in White Plains (Amy Brady, 2016). Received: 12-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract: The banning of books by government authorities raises critical questions about the balance between freedom of expression and the protection of public order, morality, and public interest. Keywords: ban; book; freedom; home; malaysia; minister; mohd; order; public

• Design and Analysis of Planar Frequency Doubling Reflectenna for IoT Sensor Networks by Anil M Kasture (2025) - Figure 3 shows simulation of Microstrip antenna, radiation pattern and gain of F1 Microstrip antenna for 433 MHz. Microstrip Antenna with Triangle Fractal of 866 MHz Table I: Represents gain of different structures of Microstrip Patch Antenna of 433MHz Antenna Structure Gain (dBi) Meander Line Monopole Antenna 2.52 Meander Line Antenna 2.11 Microstrip Antenna with Cohen-Minkowski Fractal 1.94 Microstrip Antenna with Triangle Fractal 1.93 Microstrip Patch Antenna 3.50 Figure 5: Simulation of a) Microstrip antenna for 866 MHz, b) Radiation pattern and gain of mF1 Microstrip antenna for 866 MHz by simulation Figure 5 shows simulation of Microstrip antenna, radiation pattern and gain of F1 Microstrip antenna for 866 MHz. Keywords: antenna; doubling; figure; frequency; gain; mhz; microstrip; microstrip antenna; reflectenna

• An Analysis of the Performance of Secant – Shaped Porous Slider Bearing Lubricated with Couple Stress Fluid under the Effect of Slip Velocity and Squeeze Velocity by Biradar Kashinath, Adinatha C. Upadhya (2025) - Prakash and Vij [4] investigated the hydrodynamic lubrication of porous slider bearings. [7] theoretically analysed the couple stress fluid effect on porous slider bearing and later on the performance of a secant-shaped porous slider bearing lubricated with couple stress fluids, by Bujurke et.al [8]. Keywords: figure; values; velocity

• Locally Harmonious Chromatic Number of Certain Tree-Structured Networks by M. Siva (2024) - The locally harmonious chromatic number of slim tree network ST (n), n ≥ 2, is given by h1(ST (n)) In this paper, we investigate the locally harmonious chromatic number of slim tree, hypertree, shuffle hypertree and l-complete binary tree. Keywords: coloring; level; tree; vertices
• An Analysis of the Components of Personality Traits among Badminton Players by Jeevan Lal (2025) - A glance at Table 6 showed that the mean value of Inter-College Level Badminton Players was 64.37 whereas Inter-University Level Badminton Players had mean value as 29.23 and the mean difference between both the groups was found 3.64. A glance at Table 8 showed that the mean value of Inter-College Level Badminton Players was 296.90 whereas Inter-University Level Badminton Players had mean value as 312.81 and the mean difference between both the groups was found 15.78. Keywords: badminton; badminton players; inter; level; level badminton; players
• Herbal Drugs used for the Management of Diabetes: A Review by Rohit Kumar (2025) - Coriander (Coriandrum sativum L.) which belongs to Apicea family.18 Investigation of antidiabetic, anti-inflammatory and antioxidant effect of Polyphenolic fraction of Coriander sativum seeds demonstrated potent antihyperglycemic activity of 9 polyphenols present in medicinal plant extract. Findings of study demonstrated the time- dependant hypoglycemic effect of medicinal plant extract due to its alpha-glucosidase enzyme inhibition potential. Keywords: activity; analysis; antidiabetic; antioxidant; aqueous; blood; diabetes; effect; et.al; ethanolic; extract; findings; glucose; insulin; leaves; level; plant; plant extract; potential; rats; study; type

• Covid-19 in Tamil Nadu: People’s Life Expectancy vs. Impact of Economic by J Leo (2024) - 7. Conclusion The life expectancy of Tamil Nadu residents remained unaltered during the first two years of Covid- 19. No. 4s (2024) 362 https://internationalpubls.com Covid-19 in Tamil Nadu: People’s Life Expectancy vs. Impact of Economic J Leo1, A Bernick Raj2, A. Velankanni3, T.R. Ramesh Rao4 1,2,4 Department of Mathematics & Actuarial Science, B S Abdur Rahman Crescent Institute of Science & Technology, Chennai, Tamil Nadu, India. Keywords: analysis; covid-19; growth; kaplan; meier; nadu; sector; survival; tamil; vol

• A Study of Teaching Effectiveness among Secondary School Teachers by Kulakarni Ganesh Rao (2025) - Teaching effectiveness of school teachers in relation to emotional maturity. No. ICMASD (2025) 1652 https://internationalpubls.com A Study of Teaching Effectiveness among Secondary School Teachers Kulakarni Ganesh Rao1 & Baby Nilam 1 1 CT University, Punjab Article History: Received: 12-12-2024 Revised: 25-01-2025 Accepted: 05-02-2025 Abstract: The purpose of this study is to investigate the connection between the occupational self-efficacy of secondary school teachers and the factors that impact their effectiveness in the classroom, specifically with regard to lesson preparation. Keywords: effectiveness; efficacy; instructors; school; self; teachers; teaching

• Second Order Bipolar Fuzzy Matrix and its Application in Medical Diagnosis by Muthamizhselvi. S (2024) - ̂ / ( )( ) , - and ( ̂ ) ( )( ) , - , , where . 3.2 Definition (Operations on second order bipolar fuzzy matrix) Let . ̂ / ( ̂ ) ) ( * + * +) ( ) 3.11 Properties of second order bipolar fuzzy matrix Let ( ̂ ) ( ̂ ) and ( ̂ ) be three SOBPFM of order and respectively, then (i) ( ̂ ) . Keywords: order; 
• Dynamic Effect of Green Building Concept for Sustainable Cities under Climate Change via Variable-Order Fractional Derivatives by T.Saradhadevi (2024) - No. 2 (2025) 240 https://internationalpubls.com = 1 − 𝜈(𝑡) 𝑀(𝜈(𝑡)) − ℎν(t)𝑓(𝑡𝑚−1 ,𝑢𝑚−1) ν(t)(ν(t)+1) ( (𝑛 + 1 − 𝑚)ν(t)+1 − (𝑛 − 𝑚)ν(t)(𝑛 − 𝑚 + 1 + ν(t) ) ) 𝑛 𝑚=0 (14) (𝑢𝑛+1) Keywords: fractional; green; order; − �; − 𝐼(0; 𝑀(𝜈(𝑡; 𝑡 −; 𝜈(𝑡
• Fractional Order Differential Equations in Applied Nonlinear Analysis by Singh, V. K. (2023) - 20-12-2022 Abstract: Fractional order differential equations provide a powerful framework for understanding and modeling complex nonlinear phenomena in various scientific and engineering disciplines. This article delves into the mathematical foundations, methodologies, and real-world applications of fractional order differential equations in applied nonlinear analysis, emphasizing their crucial role in addressing intricate problems and advancing scientific understanding. Keywords: fractional; order

• Evaluation of Hardware Trojans in the Adder circuits by Allagadda Seetharamaraju (2024) - In this work, different concepts of hardware Trojan circuits have been presented and introduced into adder circuits: function-destructive Trojan as well as information-leakage Trojan. Random test vectors are used in logic testing methodologies to trigger Trojan circuits as well as analyses their impact on chip outcomes. Keywords: adder; analysis; circuits; fault; figure; hardware; trojan; variation; vol

• Comparison of Adolescent-Parent Relationship among Boys & Girls in Rural & Urban Settings by Shaheeda Shaban (2025) - During adolescence, parent–child relationships are thought to become more equal, interdependent, and reciprocal (Laursen et al., 1998). It is concluded that majority of the adolescents (both male and female, rural & urban) share a smooth relationship with both the parents, contrary to the old view according to which as adolescents mature, they detach themselves from parents and move into the world of autonomy apart from parents. Keywords: adolescents; boys; child; children; dimension; girls; mean; parent; relationship

• Building a Sustainable Future: Understanding Generation Z's Purchasing Intention Toward Green Insurance by Sharon Elsen Abraham (2024) - Results: Results revealed that green attitude, perceived effectiveness, subjective norms, and willingness to pay are having positive impact on green purchase intention of Gen Z. Keywords: Green insurance, green purchase intention, Generation Z 1. Keywords: analysis; consumers; green; insurance; intention; purchase

• Exploring Relationship between Near Phoria, Reading Speed, Comprehension and Effect of Vision Therapy: A Systematic Review by Arpita Paul (2025) - 2. Literature Review 2.1 Impact of Binocular Vision Anomalies on Reading Performance Reading performance is greatly impacted by binocular vision disorders such near phoria and convergence insufficiency (CI), which result in slower reading speeds and decreased comprehension. The condition can cause increased eye strain, reduced reading speed, and impaired comprehension.5 Left untreated, these symptoms can further exacerbate academic underperformance and lower quality of life. Keywords: convergence; phoria; reading; speed; therapy; vision
• “A Review of Knowledge, Awareness, and Practice Among Eye Care Professionals Towards Convergence Insufficiency: Prevalence, Diagnosis, and Treatment Innovations in young adults.” by Abhinav Maharwal (2025) - This is reflected in worse scores on the Convergence Insufficiency Symptom Survey (CISS) and Adult Strabismus-20 (AS20) quality-of-life questionnaire, which correlate with reading function and overall quality of life (Jong et al., 2023) Interventions such as orthoptic exercises and prisms have shown improvements in near-point of convergence (NPC) and quality-of-life scores, indicating that treatment can alleviate symptoms and enhance life quality (Jong et al., 2023). Keywords: adults; convergence; convergence insufficiency; home; insufficiency; prevalence; therapy; treatment; vision
• Effectiveness of Anti-Fatigue Contact Lens in Visual Display Terminals User with Digital Eye Strain by Shruti Dagar (2025) - This study will provide valuable insights into the potential benefits of anti-fatigue contact lenses for individuals experiencing digital eye strain. Conclusions: The results support the use of anti-fatigue lenses for reducing digital eye strain and enhancing visual ergonomics, although mailto:shruti.dagar09@gmail.com Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. ICMASD (2025) 2187 https://internationalpubls.com the impact on accommodative range remains limited. Keywords: accommodation; contact; eye; fatigue; lenses; strain; vision

• An Analysis of Crop Insurance as an Adaptation Tool of Climate Vulnerability in Cauvery Delta Zone by D Hebsiba Beula (2024) - The effects of climate change, such as increased temperatures, changed precipitation patterns, and extreme weather events, are particularly vulnerable to the region's agriculture. Our assessment of crop insurance concentrated on how it can improve adaptive capacity by offering monetary protection against crop failures are induced by climate change. Keywords: change; climate; crop; cvi; land; vulnerability

• The M-polynomial of Schreier Graphs of the Basilica and Grigorchuk Groups: Comparative Evaluation by V. Rajkumar (2024) - The M-polynomial of the Schreier graphs associated with the actions of the two well-known automorphism groups of the binary rooted tree, Basilica group and Grigorchuk group is investigated in this paper. Let Γ𝑛 be Schreier graph (without loops) of Grigorchuk group. Keywords: group; schreier; 𝑀𝑝𝑜𝑙𝑦(𝐵𝑛

• Bounds on The Reduced Sombor Index of Graphs by S. Nagarajan (2024) - Keywords: Reduced Sombor index; topological index; graph invariant; trees; extremal problem; characterization. For some recent surveys in Sombor index, one can refer to the articles Keywords: index; sombor; 𝑅𝑆𝑂(𝐺
• Systematic Investment Plan vs. Lumpsum Investment: A Comparative study across Time and Indexes by Pushkar Dilip Parulekar (2025) - Index/ Style SIP LI SIP LI SIP LI SIP LI SIP LI Nifty 50 15.22% 16.56% 2.41% 4.55% 11.09% 10.92% 2.23% 2.72% 6.68 5.25 Nifty 100 15.68% 16.72% 2.79% 4.86% 11.52% 11.36% 2.14% 2.69% 7.63 5.87 Nifty 200 16.52% 15.96% 2.47% 4.50% 11.53% 11.16% 2.35% 2.83% 6.96 5.33 Nifty 500 17.18% 16.12% 2.49% 4.52% 11.87% 11.42% 2.47% 2.91% 7.10 5.51 Nifty AUTO 24.51% 25.40% 0.00% 3.80% 13.99% 14.83% 6.71% 4.84% 3.72 5.74 Nifty BANK 19.33% 21.95% 3.69% 5.89% 13.90% 14.14% 2.69% 3.11% 9.15 8.17 Nifty FMCG 21.09% 23.50% 9.02% 10.89% 14.43% 15.36% 2.69% 3.11% 9.83 9.52 Maximum Minimum Avearge Std. SIP LI SIP LI SIP LI SIP LI Nifty 50 13.49% 15.20% 5.42% 7.51% 11.05% 10.99% 1.63% 1.70% 9.06 8.53 Nifty 100 13.97% 15.87% 5.84% 7.65% 11.34% 11.31% 1.62% 1.79% 9.70 8.71 Nifty 200 14.51% 16.01% 5.33% 7.13% 11.33% 11.03% 1.88% 1.93% 8.32 7.60 Nifty 500 15.05% 16.52% 5.36% 7.31% 11.62% 11.23% 2.03% 2.01% 8.22 7.63 Nifty AUTO 16.94% 21.32% 4.34% 10.05% 12.35% 13.97% 2.40% 3.08% 8.03 8.05 Nifty BANK 16.01% 19.12% 8.19% 10.29% 13.12% 13.84% 1.54% 2.04% 14.20 11.95 Nifty FMCG 16.01% 19.12% 12.64% 11.95% 14.13% 15.36% 0.70% 1.46% 36.13 20.36 Std. Keywords: difference; index; investment; nifty; p(t<=t; period; sip; tail; years
• Stablizetion of Expansive Soil using Industrial Solid Waste by Abhishek Rai (2025) - 01-03-2025 Abstract: Expansive soils pose significant challenges to civil engineering projects due to their high swelling and shrinkage potential, which often leads to structural damage such as cracks, heaving, and settlement. This study investigates the effects of two waste-based stabilizing agents—Fly Ash and Demolished Construction Waste Powder (DCWP)—on the geotechnical properties of expansive soil. Keywords: ash; fly; index; soil; waste

• Policy of Criminalization under Islamic Criminal Justice System: A New Paradigm of Analysis by Ridwan Olawale Olagunju-Ibrahim (2025) - Ittijahat al-Siyasah al-Jinaiyyah al-Mu’asirah wa al-Shari’ah al-Islamiyyah. Siyasah al-Tajrim fi al-Shari’ah al-Islamiyyah. Keywords: acts; allahu; allahu swt; analysis; crime; criminalization; ibn; islamic; law; man; policy; punishment; quranic; shari’ah; swt; vol

• Clinical Management of Anisometropic Amblyopia: Current Approaches and New Directions: A Mini Review of Literature by Keshav Jha (2025) - The lack of robust evidence for the effectiveness of amblyopia treatment, the multifactorial nature of amblyopia therapy, and the challenge of treating amblyopic adolescents and adults have led to a significant increase in randomized controlled trials (RCTs) and new treatment modalities for amblyopia. This review will provide an update on current clinical management of amblyopia and discuss recent research for amblyopia treatment. Keywords: amblyopia; anisometropic; eye; stereopsis; therapy; treatment; visual
• Comparative Simulation of Advanced Oxidation Process and Electrocoagulation for Wastewater Treatment: A Two-Dimensional Diffusion–Reaction Study by Surpinder Singh, Abhilash Thakur (2024) - [13] M. Mollah et al., “Electrocoagulation for wastewater treatment,” Environ. [20] N. Gupta et al., “Environmental Impact of AOP By-products,” Chemosphere, vol. 350, p. 138921, 2024. Keywords: aop; concentration; pollutant; removal; simulation; treatment; vol; wastewater

• Triggers of Schedule Overrun in Construction of Railway Projects; A Quantitative Analysis of Rail Transportation Networks in Saudi Arabia by Muhammad Wajidullah Khan (2024) - With the global emphasis on fast, secure, and convenient transportation networks, extensive research has explored schedule overruns in railway construction projects. The study reveals that the primary schedule overrun triggers in railway construction projects, with higher Frequency Impact Index (FII) related to construction parties, include: “changes initiated after completion of work,” “inefficient selection of contractors,” “lack of coordination,” “delays in approval of documents,” “non-compliance with specifications,” and “material delays by suppliers.” Keywords: analysis; arabia; construction; delays; doi; faii; metro; overruns; projects; railway; riyadh; saudi; schedule; triggers; vol

• Compactness and Connectedness in Beta Weakly Semi – Closed Sets in Topological Spaces by S. Saranya (2024) - Keywords: Beta weakly semi – closed sets (ws - closed), Beta weakly semi – open sets (ws-open), Beta weakly semi-closed sets – compactness (ws – compactness), Beta weakly semi closed sets – connectedness (ws – connectedness). The ws - Cws and ws – Compactness fulfilled most of the connectedness and compactness properties in TS. Keywords: compact; sets; spaces; ws
• Exploration of NαIg-Closed and NαIg-Open Sets in Nano Ideal Topological Spaces with Practical Applications of Nano Ideal Topological spaces by M. Mary Jansirani (2024) - He also established and analyzed the nano forms of weakly open sets such as nanoα- open sets, nano mailto:d_vinodhini@cb.amrita.edu Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 [10], introduced and studied the characteristic of Nano generalized closed sets. Keywords: nano; open; sets
• Advancing Disc-Based Pythagorean Fuzzy Sets with Distinct Radii by Vinoth Kumar V (2024) - In D-PFSs, each element xxx is defined by a triplet (x , μ x , vx, rx), where μ x and vx are the membership and non-membership degrees, respectively, and rx is the distinct radius. 3 Membership and non-membership degrees for multiple elements with distinct radii Fig.3 visualizes the membership and non-membership degrees for multiple elements within distinct radii, emphasizing the flexibility of D-PFSs. Keywords: degrees; membership; non; pfss; pythagorean; radii; sets

• Bianchi Type V Universe with QVDP in f (R, T) Theory of Gravity by Vandana Soni, Sudha Agrawal (2025) - In this paper, we have evolved anisotropic cosmological model in f(𝑅, 𝑇) gravity theory to acquire the exact solution of the alter field equations in the activity of the newly offered condition of [36] quadratic form of deceleration parameter and requiring the functional form of f(𝑅, 𝑇) = f1(R) + f2(T), where f1(R) = 𝜆 𝑅 and f2(T) = 𝜆 𝑇. The Hubble Parameter in the terms of redshift (z) conceivably expressed as, H = Ho [1± 1+𝑧 √𝑧(𝑧+2)+2 ] 3 −6𝛽[1± 1+𝑧 √𝑧(𝑧+2)+2 ] 2 +8 𝛽2[1± 1+𝑧 √𝑧(𝑧+2)+2 ] concerning red shift, Deceleration parameter can be stated as, q (z) = 𝑧2+2𝑧−1 𝑧2+2𝑧+2 (40) Keywords: 4𝛽2; deceleration; gravity; parameter; √𝑧(𝑧

• MHD with Viscosity Variation and Velocity Slip between Rough Porous Conical Bearings using Couple Stress Fluid by S Sangeetha (2024) - All these research works showed that, the presence of couple stress fluid has a notable role in working of a bearing system as compared to Newtonian case. The problem of MHD porous conical bearings lubricated with couple stress fluid has not been studied. Keywords: couple; stress; viscosity

• Spectral Symbols: Exploring Supernatural Imagery, Equity, and the Unconscious in Contemporary Indigenous Horror Literature by Anshu Mala Sharma (2025) - Such motifs emphasize the resilience of Indigenous cultural identities while promoting dialogues on equity and inclusion through the lens of psychological and cultural transformation. Through these symbolic elements, the novel highlights the resilience of Indigenous cultural heritage in the face of existential threats (Dimaline, 2017). Keywords: dreams; horror; identity; literature; resilience; supernatural; symbols; unconscious
• cana-5150 by None (None) - For instance, Webber (2019) explores how YAL narratives centered on the immigrant experience cultivate empathy by allowing readers to step into the shoes of characters grappling with displacement and cultural integration. In contrast, Lynne Rae Perkins takes a subtler approach to fostering empathy, focusing on everyday emotional struggles in Criss Cross. Keywords: dasgupta; empathy; literature; narratives; perkins; readers; yal
• Examining Nature and the Environment in Literary Work: Eco-Critical Dimension. by Priyanka Sharma (2025) - Eco-criticism is the study of relationship between nature and environment and representation of nature literary work. Some have admired the beauty of nature and represented its Picture in a scenic way while some are worried about the disturbance of ecological balance and desires to contribute to the natural restoration Nature and Narrative in Indian Literature R.K Narayan a famous Indian writer who a amused his audience with his imaginary creations ‘Malgudi ‘ .It is an imaginary world which always have a imaginary backdrop of specific region. Keywords: desai; literature; nature

• Comparative Study of Geotechnical Properties of Fly Ash and Bio Soil Mixed with Low Plastic Clay by Shubhra Upadhyay (2025) - 4 Conclusions A series of the following tests: Specific Gravity test, Standard Compaction test & California Bearing Ratio tests were carried out on Bio soil, Soil, fly ash & different mixtures of bio soil & soil (in the proportions (80:20), (60:40), (40:60), (20:80); to explore the impact of soil variation in Bio soil and elucidate the trends of change in these characteristics concerning fly ash, an investigation is conducted. For Bio soil mixed with CL soil in different proportions a. For all types of the proportions studied, the specific gravity increases as the proportion of clay particles increases in bio soil because bio soil particles are replaced by clay particles. Keywords: ash; bio; cbr; fly; samples; soil
• Analysis and Statistical Assessment of Liquefaction Potential Using SPT-N Approach in Bhandara Region Maharashtra: Implications for Infrastructure Development by Manish V. Bawankule (2024) - Simplified procedure for evaluation of soil liquefaction potential. Some findings in soil liquefaction; water conservancy and Hydroelectric power scientific research institute, Bejing, China. Keywords: liquefaction; potential; soil; spt; study; 𝐶𝑅𝑅; 𝐶𝑆𝑅; 𝐹𝑎𝑐𝑡𝑜𝑟; 𝑀𝑆𝐹; 𝑂𝑣𝑒𝑟𝑏𝑢𝑟𝑑𝑒𝑛 𝑆𝑡𝑟𝑒𝑠𝑠; 𝑆𝑡𝑒𝑝; 𝑆𝑡𝑟𝑒𝑠𝑠 𝑅𝑎𝑡𝑖𝑜

• Visual Culture in Southeast Asian Web Series: Reimagining Queer Identities and Life after Death Narratives by Altobeli Lobodally (2025) - Singapore Web series show that homosexuality is a mistake, adherents of a free lifestyle, homosexuals occur because someone does not have a good family relationship, web series become a medium for homosexuals to open their voices that have been silent. Web series as audio-visual products, not only pack the two realities. Keywords: analysis; asia; culture; death; homosexuals; hyperreality; life; reality; series; southeast; study; visual; web; web series; world

• Algebraic Structures in Cryptography: Challenges and Solutions by O. Belhamiti, Rodica Luca, (2023) - Algebraic structures are essential in developing post-quantum cryptographic algorithms that remain secure in the quantum era. This article delves into the significance of algebraic structures in cryptography, highlighting the challenges posed by evolving cryptographic methods and the solutions that algebraic structures offer to address these challenges. Keywords: cryptography; structures

• Magneto Thermo-Elasticity in Rotating Functionally Graded Shell by V.B. Srinivas, Nitin J Wange, G.D. Kedar (2025) - The study determine the mechanical responses of an FGM shell under magnetic, thermal, and mechanical loads are significantly influenced by material parameters such as thermal expansion coefficient [4], volume fraction By analyzing all Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 2424 https://internationalpubls.com interaction this study used for enhance engineering applications and materials performance in the presence of magnetic thermal environment. Keywords: fgm; field; material; shell; thermal; volume
• Exploring Nonlinear Behavior of Gasket Joints in DEF Dosing Units through Finite Element Analysis by B. D. Patil (2024) - Effect of bolt torque on gasket pressure as well as other components of the assembly was studied. The best configuration which gives gasket pressure above minimum required to maintain leak proof joint and with no yielding in the assembly has been recommended. Keywords: analysis; body; flange; gap; gasket; graphite; material; mica; pressure

• Analyze the Stochastic Solid Fuzzy Transportation Problem with Mixed Constraints through Weibull Distribution by Rashi Arya (2024) - [16] suggested a better approach to optimize fuzzy transportation problem with cost, demand and supply as fuzzy parameters. Sensitivity analysis demonstrated the impact of these parameters on transportation cost and unit flow. Keywords: transportation; 𝑃(∑ ∑; 𝑃𝑎𝑖; 𝑃𝑏𝑗; 𝑃𝑒𝑘; 𝑥𝑖𝑗𝑘

• Contextualizing Distributive Leadership Measurement through Expert-Centric Validation in China's Private University Ecosystem by Du Wei (2025) - Introduction In the evolving landscape of educational leadership, distributive leadership has emerged as a critical paradigm, emphasizing the distribution of leadership roles across various stakeholders within an educational institution [1]. As the landscape of educational leadership continues to evolve, the need for precise and validated measurement tools will remain a critical component in developing effective leadership strategies that can cater to diverse educational needs and challenges. Keywords: content; content validity; cvi; experts; instrument; items; leadership; principal; research; study; validity; vol

• Numerical Analysis of Stability of Plant-Animal Interactions in Riparian Zones by D. Ravi kiran (2024) - 29-07-2024 Abstract: Ecological interactions of Plant, Animal Species, particularly in Riparian Zones have become a subject of intense interest in recent years. Keywords: Plant-Animal Interactions, Riparian Zones. Keywords: analysis; animal; equilibrium; plant; species; state; zones
• Thermal Analytical Characterization of Gymnema sylvestre Using TGA-DTA Technique by Nirmala Kakde (2025) - The TGA and DTA curves of G. sylvestre plant material reveal its decomposition pattern in the temperature range of 35°C to 700°C. [10] Maniyar K. G., Ingole D. S., Multi response optimization of EDM process parameters for aluminium hybrid composites by GRA. Keywords: analysis; dta; maniyar; plant; sylvestre; tga

• Dispersion and Stability Behaviour of Graphene and MWCNT Based Nano-Lubricant for Vapour Compression Refrigeration (VCR) System by Cut Vira (2024) - Recent progress in pool boiling heat transfer of low GWP refrigerants with the effect of POE lubricant oil. Presence of higher graphene concentration in lubricant makes the graphene particles closer to restack as the Van der Waals force becomes greater. Keywords: graphene; lubricant; mwcnt; oil; samples; stability
• Study on the Use of Waste Polyethylene in Asphalt Pavements by Anupama, Swati Agrawal (2025) - This study investigates the feasibility of incorporating waste polyethylene into asphalt mixtures as a sustainable solution for both waste management and pavement improvement. This research supports the potential of waste polyethylene as a viable additive in asphalt pavements, offering economic and ecological benefits. Keywords: bitumen; dbm; mixes; plastic; polyethylene; sma; stability; waste

• Error Estimates for Three-Dimensional Singularly Perturbed Convection-Diffusion Problem by Brehmit Kaur (2024) - Therefore, the term 𝑩𝜌,𝜎(𝑣 − 𝑣ℎ, 𝑤 − 𝐼𝑐𝑤) is bounded above by 𝑩𝜌,𝜎(𝑣 − 𝑣ℎ, 𝑤 − 𝐼𝑐𝑤) ≾ [ ∑ 𝛼𝑇 2 𝑇∈ℾℎ ||𝑅𝑇||𝑇 2 ) 1 2 + ∑ 𝜖− 1 2𝛼𝐸||𝑅𝐸| 𝐸⊂ℾ\𝜕ℾ𝐷 |𝐸 2 ) 1 2]. Further, reliable error bounds for the proposed scheme Hughes stabilized SUPG finite element method has been proposed on anisotropic meshes Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 1s (2025) 478 https://internationalpubls.com Exact residuals: Let 𝑅𝑇 and 𝑅𝐸 denote the exact element residual and exact face residual over a general tetrahedron element T respectively and are defined as 𝑅𝑇 = 𝑓 − (−𝜖∆𝑢ℎ + 𝒃. ∇𝑢ℎ + 𝑐𝑢ℎ) on T, 𝑅𝐸(𝑥) Keywords: error; ℎ𝑚𝑖𝑛 𝑇; 𝐼𝑐𝑤; 𝑇∈ℾℎ
• Age-Driven Changes in Corneal Morphology, Axial Length, and Refractive Error Correlations in Different Age Group by Devakani Suresh Kumar (2025) - Alteration of corneal thickness can be indicative of different pathologies, so in clinical practice it is important to obtain the most reliable corneal pachymetry value for every patient(Li, YCorneal et al., 2008) thickness is also known to affect the accuracy of intraocular pressure (IOP) and plays a very important role in making final decisions regarding proceeding with corneal refractive surgeries. They confirmed a statistically significant age related progressive decrease in ECD, CCT and hexagonality of corneal endothelial cells along with increase in CV and average cell size in normal healthy adult Pakistani population. Keywords: age; cct; ecd; error; groups; years
• An Exponential Class Estimator of Mean in the Presence of Correlated Measurement by Jamohan Singh Dhakar (2025) - Proposed Class of Estimators The proposed class of estimators in the presence of measurement error is �̂�𝑌𝑅𝐸𝑠𝑦𝑚 = �̅�𝑠𝑦𝑒𝑥𝑝 ( 𝜇𝑋𝑠𝑦𝑚 −�̅�𝑠𝑦 𝜇𝑋𝑠𝑦𝑚+�̅�𝑠𝑦+2𝐾 ) (3.1.1) 𝑀𝑆𝐸(�̂�𝑌𝑅𝑠𝑦𝑚) The mean estimator in the presence of measurement error is �̅�𝑠𝑦. The variance in the presence of measurement error is given as, 𝑉(�̅�𝑠𝑦𝑚) = 𝜎𝑌𝑠𝑦𝑚 2 = 1 𝑘 ∑ (�̅�𝑠𝑦 − 𝜇𝑌𝑠𝑦) 2𝑘 𝑖=1 Keywords: error; variable 𝑌; ̅ �; � ̅

• Study & Analysis of G+10 Building in M25grade Concrete for Earthquake & Wind Resistance by Aditya Dewangan, Eswara Veera Raghava Rao (2025) - The effectiveness of RC flat slab and shear wall building is studied with the help of three different models. (More R. S., Sawant V. S. (2015).[7] • The effect of with and without the shear wall of flat slab building on the seismic behaviour of high rise building with different position of shear wall studied. Keywords: analysis; building; earthquake; increases; response; seismic; shear; slab; storey; wall

• Seismic Performance Comparison between Regular and Irregular G+5 Commercial Structures using SAP2000 by Ashish Shrivastav, Ruchi Chandrakar (2025) - Ruchi Chandrakar ¹Department of Civil Engineering Kalinga university Raipur (CG) INDIA Email id-ashishshrivastav88as@gmail.com ²Assistant professor, Department of Civil Engineering Kalinga University Raipur (CG) INDIA Email id-ruchi.chandrakar@kalingauniversity.ac.in Article History: Received: 12-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract: This study presents a structural comparison between regular and irregular G+5 commercial buildings with a special focus on floating columns. The results show that structures with floating columns exhibit greater flexibility, longer time periods, and altered lateral force distribution. Keywords: analysis; columns; structures

• Applying Grading on Degree of Disc Damage Scaling Method to Assess Risk Stages of Glaucomatous Eye at Optic Cup and Disc Segmentation by V. Satya Aruna, et al. (2024) - []} O[0]=first :p=0 : loop; if first>O[p] then store first=O[p]; p=p+1: repeat loop until p>7 Step 9: Print rim width(RW){ var : retrieves narrowest rim width with disc damage stages } step 10: { Deriving GD3 stages with grading scale} Optic cup size and rim width both are inversely proportional. Keywords: cup; damage; disc; eye; glaucoma; optic; rim; size; stages; width

• A Heuristic Method to Improve the Robustness of Flight Schedules: Estimating Optimal Slack and Re-Timing Flights by Khusnul Novianingsih (2025) - A Heuristic Method to Improve the Robustness of Flight Schedules: Estimating Optimal Slack and Re-Timing Flights Khusnul Novianingsih1*, Kartika Yulianti2, Fitriani Agustina3 1,2,3Mathematics Study Program, Faculty of Mathematics and Science Education, Universitas Pendidikan Indonesia, Bandung 40132, Indonesia *Corresponding author; k_novianingsih@upi.edu Article History: Received: 26-10-2024 Revised:10-11-2024 Accepted:18-12-2024 Abstract: An investigation was conducted concerning the problem of flight delays to propose a solution to enhance the robustness of airline flight schedules. The robustness of flight schedules depended on the ability to reduce the effects of flight delays on daily operations. Keywords: airline; connections; delay; departure; flight; schedules; slack; times

• Performance and Assessment of Jaw Crusher in a Cement Manufacturing Plant by Suresh Kumar Sahani (2025) - [4], highlighted how facilities may move from reactive to proactive methods by integrating RCM principles into jaw crusher maintenance plans. Keywords: Jaw crusher, failure rate, repair rate, cement plant, etc. Keywords: analysis; dependability; equipment; failure; jaw; maintenance; reliability

• Vague Strong Implicative Filters of Lattice Wajsberg Algebras by Praveen Vardhan Kuppili (2024) - Keywords: wajsberg algebra; Lattice wajsberg algebra; Implicative filter; strong Implicative filter, vague Implicative strong filter; vague strong implicative filter; vague implicative filter, vague strong implicative filter. The objective of this paper is to contribute further to the study of vague algebra by In this section, we introduce vague strong implicative filter of lattice of wajsberg algebra and vague strong implicative filter of lattice of wajsberg algebra A with illustrations and investigate some properties with suitable examples. Keywords: filter; lattice; vague

• Stability and Hopf Bifurcation Analysis of Tumors with Immature and Mature Lymphocytes by M.Sridevi (2025) - x dt    − − = − + + − = − + = − (2) with initial condition 1 1 2 2 3 3( ) , ( ) , ( )x x x     = = = (2.1) with 0j   1, 2,3j = for  ,0  − , where   3 2( ) ; (0) , 0 & 0X t X t X t b b c=   −  . From the equation (15) ( ) * ** 1 2 31 1 2 0* * 2* 3 32 * * 1 3 0 2 2 2 2 2 0* 3 0 sin( ) 1 (1 ) cos( ) 1 b x xb c b x x xb x b x b c b x c x        − +  + +  + − + − + − + (18) Using (15) in (18) ( )   ( )( ) ( ) ( ) * ** 1 2 31 1 2 * * * * * * 2* 1 2 3 1 3 1 3 3 31 1 2 2 0 0 0* * 2 * * 3 3 3 3 0 * * * * 1 3 1 2 2 2 2 2 2 2 2 2 2 * 3 1 (1 ) 1 cos( ) 1 sin( ) 1 (1 ) 1 1 1 1 1 b x xb c b x b x x b x b x x xb c b x b c x x x x b x b b c b x b c b x c b c b x b c x         − +     + +−   + − + − − + −     + + + +          + − + − + − − − + + − − + * ** * 21 2 31 2 2 0* * 2 3 31 (1 ) b x xc b Keywords: b b; c b; c x; tumor; x x; − −

• Impact of Screen Brightness on Static and Dynamic Aspects of Accommodation among Digital Eye Strain Subjects by Mohammad Nooruz Zaman (2025) - The findings highlight the importance of screen brightness as a key factor in digital eye strain, a condition characterized by eye discomfort after prolonged screen use. This suggests that screen brightness equal to ambient room illumination is optimal, as it enables better focusing ability and may reduce digital eye strain symptoms caused by increased accommodation lag. Keywords: accommodation; brightness; digital; eye; eye strain; lux; response; screen; screen brightness; strain

• The Inclinations of Consumers towards Electric Vehicles: A Case Study by Sewa Singh (2025) - EV adoption is higher among consumers in areas with established charging networks (Bailey et al., 2017). One of the Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. ICMASD (2025) 834 https://internationalpubls.com biggest obstacles to EV adoption is the absence of charging infrastructure, especially in rural or impoverished locations (Bailey et al., 2015; Egbue & Long, 2012). Keywords: analysis; charging; evs; fig; infrastructure; respondents; source; vehicles

• Attracting Foreign Direct Investment in Vietnam Towards Sustainability by Nguyen Tien Minh (2024) - 117 https://internationalpubls.com Attracting Foreign Direct Investment in Vietnam Towards Sustainability Nguyen Tien Minh1, Nguyen Thi Thu Ha2, Nguyen Duc Duong3 1VNU University of Economics and Business, Hanoi, Vietnam; Email: ntminh@vnu.edu.vn 2Graduate academy of social sciences, Hanoi, Vietnam; Email: hantt.neu@gmail.com 3Banking Academy of Vietnam, Vietnam; Email: duongnd@hvnh.edu.vn Article History: Received: 04-10-2024 Revised: 26-11-2024 Accepted: 04-12-2024 Abstract: A gloomy economic picture, a decline in trade transactions, the potential destruction of global value chains, industries struggling due to the Covid-19 pandemic, lockdowns, and curfews in various parts of the world—this is what much of the media described about 2020. With the vision of a developing country, Vietnam needs to seize the opportunity, strengthen its supporting industries, and create a healthy investment environment to maximize the opportunities brought by international capital flows, contributing to the rapid recovery of the economy in the post-Covid-19 period. Keywords: analysis; asean; asia; capital; china; countries; fdi; flows; investment; new; total; trade; u.s; usd; vietnam

• Group Actions on Manifolds by T. Venkatesh, et al. (2024) - Formulation of local integrable structure Since, PDE’s arise as sections of vector bundles rather sub-bundles of vector bundles where is a connected smooth manifold. above setting of linear local vector field are the formal setting for this explanation. Keywords: geometry; structure; vector

• Content Validation and Content Validity Index Calculation for Teacher Innovativeness Instrument among Henan Private Universities in China by Du Wei (2025) - The second type relates to the S-CVI, which represents the percentage of items in an instrument receiving a rating of either 3 or 4 from a total number of content experts (Polit et al., 2007). *Corresponding Author: Bity Salwana Alias, Email: bity@ukm.edu.my Article History: Received: 12-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract: This paper aims to assess teacher innovativeness among Henan private universities in China with a valid measurement, the content validity index (CVI). Keywords: content; cvi; expert; innovativeness; items; research; scale; study; teacher; validity

• Neurorehabilitation Strategies for Cerebral Palsy: Contemporary Trends and Future Directions by Shaminder Kaur (2025) - The role of virtual reality in motor rehabilitation of children with cerebral palsy: A systematic review. f. Robotics-Assisted Rehabilitation An exploration of studies examining the use of robotic devices to assist with motor rehabilitation in CP is conducted. Keywords: motor; neurorehabilitation; palsy; therapy

• Number Of Distinct Topologies On Finite Set With R-Open Sets by Narendrakumar R. Dasre (2025) - These repeated ratios are calculated for series of distinct topologies on n-sets with exactly r-open sets. Here we have applied the concept of repeated ratios proposed by Dasre and Gujarathi [3] to these sequences. Keywords: ratios; series

• Application of the Inverse Weibull Distribution to Agricultural Data Based on Intuitionistic Fuzzy Sets by S. Sujatha (2024) - 𝜆 𝑑1−1𝜂𝑑2−1𝑒−𝑐1𝜆−𝑐2𝜂 With reference to the Bayesian formulation, the posterior distribution of 𝜆 and 𝜂 is 𝜋(𝜆, 𝜂 ∣ �̃�)∝ ℎ(𝜆, 𝜂 ∣ �̃�) × 𝜋(𝜆, 𝜂) The posterior expectation of the function 𝑔(𝜆, 𝜂) of 𝜆 and 𝜂 is: 𝐸[𝑔(𝜆, 𝜂) ∣ �̃�]= ∫   +∞ 0  ∫   +∞ 0  𝑔(𝜆, 𝜂) 𝜋(𝜆, 𝜂 ∣ �̃�) ∫   +∞ 0  ∫   +∞ 0  𝜋(𝜆, 𝜂 ∣ �̃�)𝑑𝜆𝑑𝜂 𝑑𝜆𝑑𝜂 𝐸[𝑔(𝜆, 𝜂) ∣ �̃�] = ∫𝑔(𝜆, 𝜂)𝑒𝐻(𝜆,𝜂∣�̃�)+𝐺(𝜆,𝜂)𝑑(𝜆, 𝜂) ∫ 𝑒𝐻(𝜆,𝜂∣�̃�)+𝐺(𝜆,𝜂)𝑑(𝜆, 𝜂) [2ℎ−3(𝜆, 𝜂 ∣ �̃�𝑖) (∫   +∞ 0   𝑠𝑖(𝑡) ∂𝑦(𝑡; 𝜆, 𝜂) ∂𝜆 𝑑𝑡) 3 − ℎ−1(𝜆, 𝜂 ∣ �̃�𝑖)∫   +∞ 0  𝑠𝑖(𝑡) ∂3𝑦(𝑡; 𝜆, 𝜂) ∂𝜆3 𝑑𝑡] Keywords: reliability; ̃ �; ∣ �; � ̃; � 𝑀𝐿

• Biographical Sketches of Sikh Empire; Islamic and Firangis Courtiers in Lahore Darbar by Jasmeen Walia (2025) - It was established by Maharaja Ranjit Singh in the Punjab region. Here are brief biographical sketches of key figures from the Sikh Empire: Maharaja Ranjit Singh (1780–1839) Maharaja Ranjit Singh, known as the Lion of Punjab, unified various Sikh factions (Misls) and established the empire in 1799 after capturing Lahore. Keywords: court; courtiers; darbar; din; empire; fakir; lahore; maharaja; punjab; ranjit; ranjit singh; sikh; singh

• Class of Modules for Which Strongly Hopfian Modules are Noetherian by Mankagna Albert Diompy (2025) - No. 5s (2025) 489 https://internationalpubls.com prove that in the setting of finitely generated 𝑆𝐹-modules, noetherian module, artinian module and semiartinian module are equivalent. Since submodule of Noetherian module is Noetherian so N is Noetherian. Keywords: module; σ[m
• On Modules For Which Every Cosingular Verify The D4-Condition by Papa Cheikhou Diop (2025) - By hypothesis, M ⊕ N has the SI P property. Thus, M ∩ N is a direct summand of M ⊕ N , leading to N ≤ ⊕ M . 3) ⇒ 4). Keywords: module; 𝑀 ⊕; 𝑀 𝐾; 𝑀 𝑁; 𝑁 ⊕

• A Voyage of Marketing from Swadeshi Movement to Indigenous Branding Destined Towards Vikasit Bharat 2047 by Harshada Raut, Chhabi Sinha (2025) - From Friedman test of ranking Swadeshi Movement in History is recalled the most with Swadeshi. Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 1 (2025) 642 https://internationalpubls.com A Voyage of Marketing from Swadeshi Movement to Indigenous Branding Destined Towards Vikasit Bharat 2047 Dr. Harshada Raut hjr.imcc@mespune.in Assistant Professor, MES’ IMCC, Pune Dr.Chhabi Sinha Dean Academics: MIT-ADT University, Loni, Pune chhabi.chavan@mituniversity.edu.in Article History: Received: 02/02/2025 Revised: 15/03/2025 Accepted: 25/03/2025 Keywords: analysis; extent; indian; movement; products; swadeshi; vol

• Assessing the Impact of Vaccination Strategies and Re-infection Dynamics on Mycobacterium tuberculosis Transmission by Mathematical Modelling by Naresh Kumar Jothi (2024) - Despite these reptiles, although variants of MTBC are terribly similar and incorporated in the phylogeny of M. tuberculosis they do not especially merit the status of subspecies; however, for reasons of history, they eventually received that designation. It appears that M. canettii is the primal form of tuberculosis (M. tuberculosis), according to the description from 1969. Keywords: population; tuberculosis; 𝐶𝑇𝐵; 𝐸𝑇𝐵; 𝐼𝑇𝐵; 𝑅𝑇𝐵; 𝑆𝑇𝐵; 𝑉𝑇𝐵

• Second Hankel Inequality for Certain Common Subclass of Classes of Starlike and Convex Functions by Gurmeet Singh (2024) - − 2)2(9𝑟3 − 29𝑟2 + 30𝑟 − 12) 576(3 − 2𝑟)2(𝑟 − 2)4(3𝑟 − 4) From 𝐸′(𝑐) = 0 we will have 𝑐 = 0 𝐸′′(0) = − 9𝑟3 − 29𝑟2 + 30𝑟 − 12 24(3 − 2𝑟)2(𝑟 − 2)2(3𝑟 − 4) that we can easily conclude that 𝐸′′(0) is Negative, which implies that at 𝑐 = 0 the function will attain its maxima. |𝑎2𝑎4 − 𝑎3 2| ≤ 1 4(3 − 2𝑟)2 Corollary When 𝑟 = 0, we have ℎ ∈ 𝑆∗𝐶sin (0):= 𝐶sin and we get |𝑎2𝑎4 − 𝑎3 2| ≤ 1 36 When 𝑟 = 1 we have ℎ ∈ 𝑆∗𝐶sin(1):= 𝑆sin ∗ , and we get |𝑎2𝑎4 − 𝑎3 2| ≤ 1 4 4. From (15), we Have 𝑎4 = 1 288(𝑟 − 2)3(6𝑟2 − 17𝑟 + 12) Keywords: class; functions
• Toeplitz Matrices whose Elements are Coefficients of new Subclasses of Analytical Functions by M. Nandeesh (2024) - [ 𝑝2(4 − 𝑝2) 8(𝜆 + 4) − 𝑝(4 − 𝑝2) 2(𝜆 + 4) ] |𝑥|3 + − (𝜆2 − 2𝜆 − 7)𝑝(4 − 𝑝2) 2(𝜆 + 1)(𝜆 + 3)(𝜆 + 4) ] |𝑥|2 + Keywords: class; functions; |𝑥|; − 𝑎2; − 𝑝2; 𝑝(4 −; 𝜆 +

• Nonlinear Analysis of Phase Transitions in Materials Science by Liu, Z. (2023) - Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 29 No. 3 (2022) 8 https://internationalpubls.com Nonlinear Analysis of Phase Transitions in Materials Science Z. Liu Department of Mathematical Sciences, National Taiwan University, Taipei, Taiwan Article History: Received: 12-07-2022 Revised: 20-08-2022 Accepted: 24-09-2022 Abstract: Phase transitions play a pivotal role in materials science, and understanding their intricate dynamics is essential for designing advanced materials. This article delves into the significance of nonlinear analysis in the study of phase transitions. Keywords: phase; transitions
• Reflection at the Free Surface of Generalized Thermoelastic Medium with Voids Under Three Phase Lag Effect by Neelam Hooda, Renu Yadav (2024) - [�̄�1, �̄�2, �̄�, �̄�] 𝑒𝑥𝑝{ 𝜄𝑘(𝑥 𝑠𝑖𝑛 𝜃 − 𝑧 𝑐𝑜𝑠 𝜃) [Iesan (1986)] 𝛼𝛻2𝜙 − 𝑏(𝛻 ⋅ �⃗⃗�) − 𝜉1𝜙 + Keywords: phase; voids; vol; wave

• (1, 2)*-D**SpOpen Sets in Bitopological Spaces by P. Devi Prabha (2024) - *-D**spOS Theorem 3.21 in BTS X Consider A Map h : This example proves reverse of thm 5.2 Consider A map h : K →L let the two sets L = K Keywords: map

• Chaos and Bifurcation Analysis in Electrical Circuits by Derhab, Mohammed (2023) - Bifurcation Analysis Bifurcation analysis plays a crucial role in understanding circuit behavior: • Parameter Variation: Bifurcation diagrams illustrate how changing parameters affect circuit dynamics. Transition from periodic to chaotic behavior in oscillatory circuits. • Strange Attractors: Chaotic circuits exhibit strange attractors in phase space, capturing complex trajectories. Keywords: analysis; chaos

• Finite Range Probability Distribution for Reliability Theory and Theoretical Physics by Musallam Tabook (2025) - There are many research workers who have developed probability distribution in recent times, such as, Mukherjee and Islam (1983), Siddiqui et al(1992,1994,1995,2016). It is not possible to track every single particle’s motion; statistical mechanics uses probability distributions to describe the average behavior of the system. Keywords: probability

• Degree Associated Reconstruction Number of Split Graphs with Some Biregular Independent Set by A. Anu (2025) - The vertex z2 and all the neighbours of z1 form a clique such that exactly r vertices of degree m2 − 1 + i [1] A. Anu and S. Monikandan, Nearly all biregular graphs have degree associated edge reconstruction number at most three, Ars Combinatoria, 147, 263-280 (2020). Keywords: degree; vertex

• A Comparative Analysis of Physiological and Physical Fitness Variables among Intercolligiate Volleyball Players of Jammu Region by Malook Singh (2025) - Table:2 Summary of t-test results comparing explosive strength among urban(50) and rural(50) intercollegiate male volleyball players of Jammu region. There is insignificant difference in the explosive strength among urban (mean=2.266) and rural (mean=2.264) intercollegiate male volleyball players of Jammu region. Keywords: fitness; physical; players; rural; variables; volleyball

• A Unified Numerical Framework for the Inversion of Integral Transforms: Laplace and Fourier by Amol Pimpalkar (2025) - We validate the effectiveness and precision of this universal method through several standard examples, comparing its performance with traditional techniques such as the Bromwich integral and Stehfest's algorithm for Laplace inversion. a) Choice of Shift Parameter 𝝈 i.For Laplace inversion, the factor 𝑒𝜎𝑣 Grows exponentially with 𝑣. ii. Keywords: fourier; integral; inversion; laplace; numerical; transform

• Hybrid Identities and Cultural Assimilation in Zadie Smith’s Novel. by Amita Kalsi (2025) - Cultural Assimilation in Zadie Smith’s Novels Smith's writings highlight the difficulties of cultural assimilation by presenting it as a negotiation process as opposed to a one-way adaptation . Smith challenges the demands of assimilation in all of her writings and promotes a more flexible and composite conception of cultural identity that values variety and opposes uniformity. Keywords: assimilation; identity; smith

• On Neutrosophic Ideal of KK-algebras by A. Ibrahim (2024) - ∎ Proposition 3.12: The intersection of any set of neutrosophic ideals of KK-algebra X is also neutrosophic ideal. Keywords: KK-algebra; Ideal; Neutrosophic Set; Neutrosophic ideal; Neutrosophic subalgebra. Keywords: algebra; neutrosophic
• Comparison Between Cauchy's Steepest Descent and Fletcher-Reeves Methods in Solving Unconstrained Neutrosophic Nonlinear Programming Problems by G. Vanaja (2024) - 4.1 Neutrosophic Cauchy’s Steepest Descent Method Consider an unconstrained minimization problem min𝑓𝒩(�̃�1, �̃�2, … , �̃�𝔫). As a result, the iterative approach consists of, �̃�𝜅+1 = �̃�𝜅 + (�̃�𝜅�̃�(�̃�𝜅))𝒩 (2) where as �̃�𝜅 is the current estimate of �̃�∗, (�̃�κ)𝒩 = (�̃�(�̃�𝜅))𝒩 is the search direction and 𝛼(κ) is the step length parameter in the space ℛ𝒩 of design variables. Keywords: 0.7,0.65,0.72; f̃ 𝒩; neutrosophic; s̃i 𝒩; ̃ �; ℛ( �; ℛ(f̃ 𝒩; ℜ( �; � ̃; � κ)𝒩; � �; � 𝔫; � 𝔫(υ; 𝒩 step

• On Discrete Harmonic Distributions related with Harmonic Mean Random Variable by Prasanta Kumar Das (2024) - In this paper we develop the random variable for some types of discrete harmonic distribution and their cumulative distribution mass functions. Keywords: Harmonic mean random variable, Harmonic mass function, Exponential harmonic mass function, Natural logarithmic harmonic mass function. Keywords: harmonic

• Analytical and Computational Investigation of Non-Steady State Reaction and Kinetics at Spherical Ultramicroelectrodes Concerning Conducting Polymer Modification using Homotopy Perturbation Method by A. Uma (2024) - Conclusion The system of nonlinear reaction diffusion equations in the spherical ultramicroelectrodes alongside conducting polymer modification at non-steady state have been determined analytically in the present study. Approximate analytical solutions for Nonlinear reaction diffusion equations at conducting polymer modified ultramicroelectrodes via Taylor Series Method, ISRN Journal of physical chemistry, (12):745616- 745628. Keywords: 2𝜋 𝑋; concentration; diffusion; species; 𝜒𝒮1; 𝜕𝑋2
• Theoretical Analysis of Nonlinear Reaction-diffusion Equation on Immobilised Alpha-Chymotrypsin in Acetonitrile Solvent by A. Dorathy Cathrine (2024) - Nomenclature Parameter Meaning Units 𝐷𝐴𝑒𝑓𝑓 acyl donor Effective diffusion coefficient c𝑚2/s 𝐷𝑁𝑒𝑓𝑓 nucleophile Effective diffusion coefficient c𝑚2/s [AcD] acyl donor concentration mM Approximate analytical solutions of acyl donor and nucleophile substrate concentrations under steady-state conditions are derived concerning all diffusion parameters using Akbari Ganji and homotopy perturbation methods. Keywords: acyl; concentration; donor; hpm; nucleophile; substrate

• Emergence of New Woman in the Backdrop of India’s Economic Liberalisation in Chetan Bhagat Novels ‘One Indian Girl’and ‘One Night @ The Call Center’ by Rajeev Kumar (2025) - No. ICMASD (2025) 1130 https://internationalpubls.com Emergence of New Woman in the Backdrop of India’s Economic Liberalisation in Chetan Bhagat Novels ‘One Indian Girl’and ‘One Night @ The Call Center’ Rajeev Kumar1, Nancy Paul1 1 Department of English, CT University Ludhiana, India Article History: Received: 12-12-2024 Revised: 25-01-2025 Accepted: 05-02-2025 Abstract: The concept of the New Woman emerged in the late 19th century and had a significant impact throughout the 20th century. Keywords: New Woman, Economic Liberalisation, Patriarchy, Educated Woman, Equality. Keywords: girl; indian; new; novel; radhika; society; woman

• Geometry and Symmetry: Insights into Mathematical Artistry by Z. Dahmani , K. Hakiki, (2023) - From the layout of buildings to the proportions of columns, mathematical principles guide architects in creating aesthetically pleasing and structurally sound structures. In the visual arts, artists employ mathematical principles to create visually pleasing compositions. Keywords: art; geometry; symmetry

• Microwave Propagation in Circular Quarter Wave Transformer made of Teflon and K-12 Composite by Surendra Kumar (2024) - Results: The insertion loss of the circular Quater wave transformer was found 0.05 dB. Thus, a circular Quater wave transformer is formed with polymer and ceramic composite a new material for low loss microwave applications. Low loss circular quarter wave transformer is important for the circular microwave devices like phase shifters antennas etc which is realizable using Fused silica and K12 polymer ceramic composites. Keywords: composite; quater; teflon; transformer; wave; wave transformer

• An Analytical and Numerical simulation of Fuzzy Delay Differential Equation Model of HIV infection of CD4+T-Cells by T.Muthukumar (2025) - − 𝛼)] 𝐹2(𝛼) = [7000𝛼 + 6750(1 − 𝛼), 7000𝛼 + 7250(1 Keywords: cells; 𝐹 �; 𝐼 �; 𝑈𝑐̅̅

• A Study of Diverse Immigrant Perspectives and Experiences through the Novel the Immigrant by Manju Kapur by Samandeep Kaur (2025) - The diverse perspectives of various characters namely Nina, Ananda, Dr. Sharma etc. are focused to comprehend the harsh and critical realities of lives of diaspora abroad. It also reveals that while initially the heroine of the novel, Nina, suffers from emotional isolation but her husband, Ananda, adapts himself to the needs of the hybrid culture. Keywords: ananda; canada; new; nina; novel; society

• Fekete-Szegö and Second Hankel Determinant for a Class of p-Valent Functions Related to Modified Sigmoid Functions by Saleem Ahmed (2025) - Keywords: Analytic functions, modified Hadamard product, Sigmoid function, Fekete-Szegö inequality 1. In this paper, we study the initial coefficient bounds for a noval class 𝑀𝜆(∗)(𝜂, 𝜑𝑛,𝑚) of 𝒫-valently analytic functions related to Sigmoid functions. Keywords: functions

• A Comparison of Proposed Ranking Method for Fuzzy Transportation Problem with the Existing Method by E. Fany Helena (2024) - 5. Let 𝑅(�̃�) = 𝑏1+𝑏2+𝑏3+𝑏4 4 �̃� ÷ �̃� = ( 𝑎1 𝑅(�̃�) , 𝑎2 𝑅(�̃�) , 𝑎3 𝑅(�̃�) , 𝑎4 𝑅(�̃�) ) Keywords: ranking

• On GeneralizedNanoℕ?̌-Closed andNanoℕα̂-OpenSetsin Nano-Topological Spaces by Abdulaziz .S. Hameed (2024) - 2014 saw the introduction of Nano closure and Nano Interior operator in Nano topological spaces by Thivagar M. Lellis and Carmel Rechard No. 4s (2024) 361 https://internationalpubls.com References [1] ABDULAZIZ .S. HAMEED, , Nabila I. Aziz and Siham I. Aziz , Inside of Nano topological spaces a novel generalized Open and Closed Nano operators, under review [2] Kalavathi, A. and Krishnan, G., Soft g* closed and soft g* open sets in soft topological spaces. Keywords: nano; r(ψ

• Stochastic Nonlinear Analysis in Probability Theory by Gorine, H. (2023) - This article delves into the significance of stochastic nonlinear analysis in probability theory, covering mathematical foundations, methodologies, real-world applications, and the role of stochastic nonlinear dynamics in advancing our understanding of complex random phenomena. However, many real-world processes exhibit nonlinear and time-varying behavior, necessitating the incorporation of stochastic nonlinear analysis into probability theory. Keywords: processes; stochastic

• Mathematical Analysis of Some (3+1)-D Models via Rangaig Transform by Sandeep Sharma (2024) - = ( 1 𝜛4 − 1 𝜛5 ) sin 𝜋𝑥 sin𝜋𝑦 sin 𝜋𝑧, ⋮ Therefore, 𝜇1(Υ, 𝑡) = − sin 𝜋𝑥 sin𝜋𝑦 sin 𝜋𝑧, 𝜇2(Υ, 𝑡) = 𝑡2 2! sin 𝜋𝑥 sin𝜋𝑦 sin 𝜋𝑧, 𝜇3(Υ, 𝑡) = − 𝑡3 3! sin 𝜋𝑥 sin𝜋𝑦 sin 𝜋𝑧, ⋮ Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 3 (2025) 394 https://internationalpubls.com [19-22] The following part introduces the fundamental principles and features of another transform, the “Rangaig Transform”, which will be introduced in this work. Keywords: sin; transform
• Using W Transform for Solving Volterra Integro-Differential Equations by Amal M. Wadi (2025) - ……………………………………………………………………………………… { 𝑠𝑘𝑛𝑊( 𝜑p(ω)) −𝑠𝑚∑𝑠𝑛(𝑘−𝑗−1) 𝑘−1 𝑗=0 𝜑p (𝑗)(0) } = 𝑊{Hp(ω)} + …………………………………………………………………………………… { 𝑠 𝑘𝑛𝑊( 𝜑𝑝(ω)) −𝑠𝑚+𝑛(𝑘−1)𝑎𝑝0 −𝑠𝑚+𝑛(𝑘−2)𝑎𝑝1 −⋯− 𝑠𝑚𝑎𝑝𝑘−1} = 𝑊{Hp(ω)} + Keywords: transform; 𝑠𝑚𝑊

• A Fuzzy Log-Normal Distribution Model for the Rainfall level of Namakkal District by Prakasam. S (2024) - Namakkal district is bounded on the north by Salem district, on the south by Karur district, on the east by Trichy and Salem districts and on the west by Erode district. In this paper using a few mathematical models we can take the rainfall levels in Namakkal district from 2014 to 2018 and find the highest rainfall year by the fuzzy mean and the fuzzy variance in the Log-Normal distribution. Keywords: district; rainfall; ̅ �; � ̅

• Prime Graceful Chromatic Number of Diverse Graphs by M. Keerthika (2024) - Then, it induces edge coloring ꞷ ∗ (v1v2)= 𝑐1, ꞷ ∗ (v1v3)= 𝑐1, ꞷ ∗ (v1v4)= c2, ꞷ ∗ (v1v5)= c3 and so on which is a contradiction with the definition of prime graceful coloring since the color of any two adjacent edges are distinct. Since ꞷ ∗ (v2v3) = 𝑐1 and ꞷ ∗ (v3v4) = 𝑐1 receives same color which is a contradiction with the definition of prime graceful coloring since the color of any two adjacent edges are distinct. Keywords: coloring
• Rainbow Dynamic Coloring in Few Brick Product Graphs by Gayathri Annasagaram (2025) - Case 4. n = 16, 18 for n = 16 Coloring is defined by 𝑣𝑖+6𝑘 = i, 1 ≤ i ≤ 6, 0 ≤ k ≤ 4 ; 𝑣𝑖+6𝑘 = i + 1, 1 ≤ i ≤ 2, k =⌊ 𝑛 3 ⌋. for n = 18, 𝑣𝑖+6𝑘 = i, 1 ≤ i ≤ 6, 0 ≤ k ≤ 5 Case 5. 2n ≡ 2 (mod 3) Coloring is defined by 𝑣 𝑖+(⌊ 𝑛 3 ⌋+2)𝑘 =i, 1 ≤ i ≤ ⌊ 𝑛 3 + 2⌋ , 0 ≤ k ≤ 4 for 2n ≤ 50, 0 ≤ k ≤ 5 for 2n > 50 Keywords: coloring

• A Collaboration Graph of the Lilavati Prize Winners with Certain Domination Parameters by Renuka Lakshmi A (2024) - [16] Vaidya S.K.& Karkar S.H., “ On Strong domination number of Graphs”, Applications and Applied Mathematics:An international journal , ISSN: 1932-9466, vol 12 , issue I pp: 604-612, 2017. Domination number: Keywords: domination; graph 𝐺; number; set 𝐷; split; 𝑉(𝐺; 𝑉\𝐷
• Changing and Unchanging Secure Integer Domination in Graphs by Gowtham Priya L, (2025) - The minimum weight of secure integer dominating function is denoted by 𝛾𝑘 𝑠(𝐺) is called secure integer domination number (SIDN). In this article, we introduce secure integer domination and study about changing and unchanging behavior of graph. Keywords: domination; 𝑉(𝐺; 𝑠(𝐺
• Analyzing Detour Distance and Domination Number in Special Graph Classes by N. Jeyasree, S. Chelliah (2024) - This work introduces and elaborates upon new graph invariants based on detour domination and detour distances. However, since 𝐾𝑛 allows for each vertex to lie on a detour path from any other vertex, and since every vertex is adjacent to all others, a single vertex suffices for detour domination. Keywords: detour; domination

• Elegant Fuzzy Labeling of Graphs by Nithya Sree (2024) - [7,15] introduced the concept of fuzzy labeling graphs and studied their properties. [7] Gani, A. N., Subahashini, D. R.: Properties of fuzzy labeling graph. Keywords: 𝐸(𝐺; 𝑉(𝐺; 𝑚 +
• More Results on Complementary Tree Domination Number of Semi Total Point Graph by S. Jayalakshmi, P. Vidhya (2025) - − D = {⋃ 𝑣𝑖 𝑝−1 𝑖=1 } ∪ 𝑆. Since δ(𝐺) ≥ 2, 𝑑𝑒𝑔(𝑣𝑖) ≥ 2, 𝑖 = 1,2, … , 𝑝 − 1 and hence 𝑣𝑖 is adjacent to the vertices of G other than v, Then 𝑣𝑖 ′ is adjacent to the vertex 𝑣𝑖, 𝑖 = 1, 2, … , 𝑝 − 1 where 𝑣𝑖 is a vertex in 𝑉(𝑇2(𝐺)) − 𝐷 = {𝑢3, 𝑢4, 𝑢13 ′ , 𝑢23 ′ , 𝑢24 ′ , 𝑢41 ′ } since 𝑝 ≥ 4 and δ(𝐺) ≥ 2 each vertex in ⟨𝑉(𝑇2(𝐺)) Keywords: − 𝐷; 𝐺 ≅; 𝑇2(𝐺; 𝑉(𝐺; 𝑉(𝑇2(𝐺

• Some Results of Total Domatic Number on Anti Fuzzy Graph by R. Muthuraj (2024) - The maximum number of classes with maximum fuzzy cardinality of a partition Di (AG) is called anti fuzzy total domatic number of anti fuzzy graph AG and it is denoted by 𝑑𝑓𝑡(𝐴𝐺). In this paper, we define the definition of total domatic number and partial total domatic number on anti fuzzy graph AG also extant some general bounds and results that relate the total domatic number of AG. Keywords: number; total

• North Macedonian Culture as Part of Southeast Culture: A Focus on Contemporary Practices and Cultural Policy by Natasha Sarafova (2025) - Furthermore, it analyzes the role of cultural policy in promoting and preserving cultural heritage, addressing the challenges related to cultural identity and globalization. Keywords: cultural heritage, cultural policy, contemporary cultural practices, North Macedonia, Southeast Europe Introduction Situated at the heart of the Balkans, North Macedonia occupies a strategic geographical position, sharing borders with Kosovo, Albania, Greece, Bulgaria, and Serbia. Keywords: heritage; macedonia; north; ohrid; poetry; preservation

• The Bounds of Energies of Rough Complemented Graph by B.Praba (2024) - ] 2 ≥ (3𝑛 − 2𝑛+1 + 1 + 𝛾(𝐶(𝑇))) + (2𝑛 − 2)(2𝑛 − 3)∆𝐷 2 (2𝑛−2)(2𝑛−3) Ԑ𝐷(𝐺𝑅𝐶(𝑇)) ≥ √(3𝑛 − 2𝑛+1 + 1 + 𝛾(𝐶(𝑇))) + (2𝑛 − 2)(2𝑛 − 3)∆𝐷 2 (2𝑛−2)(2𝑛−3) Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 − 1 + (2𝑛 − 3)(2𝑛 − 4) ( | det 𝐴(𝐶(𝑇))| ∏ 𝑑𝑖 2𝑛−2 𝑖=1 ) 2 2𝑛−3 Where 𝑑𝑒𝑡 𝐴(𝐶(𝑇)) denotes the determinant of adjacency matrix of 𝐺𝑅𝐶(𝑇). Keywords: dominating; graph 𝐺𝑅𝐶(𝑇; 𝐷(𝐶(𝑇; 𝐺𝑅𝐶(𝑇; 𝑅𝑆(𝑋

• A Research on Bipolar Valued Vague Normal Subrings of a Ring by B.Deeba (2024) - The following are extension of fuzzy set, they are vague set, intuitionistic fuzzy set, bipolar valued fuzzy set and etc. on Intelligent Technologies, Bangkok, Thailand (2000), 307-312. Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 7s (2024) 443 https://internationalpubls.com [10] K.M.Lee, Comparison of interval valued fuzzy sets, intuitionistic fuzzy sets and bipolar valued fuzzy sets. Keywords: theorem

• Mean Cordial Labeling in Graph Representations of Human Anatomy and Circulatory Systems by A. Anto Cathrin Aanisha (2024) - They are sum divisor cordial labeling, prime cordial labeling, edge sum divisor cordial labeling and product cordial labeling etc., Mean cordial labeling is also derived from cordial labeling. In this study, we investigate the notion of mean cordial labeling in the three-dimensional portrayal of the human body, as well as in graphical depictions of blood circulation in the heart and the circulatory systems of the human heart and kidney. Keywords: labeling

• Comparative Assessment of Seismic Performance in RC Buildings with Varying Slab System Configurations by Sharada Polusani (2025) - Despite their architectural and construction benefits, flat slab systems may pose significant risks if not adequately designed for seismic performance. In contrast, flat slab systems eliminate beams, allowing slabs to transfer loads directly to columns. Keywords: analysis; displacement; drop; seismic; slab; storey

• Analytical Investigation of Human Finger Dynamics using Lie Symmetry Analysis by Amara Chandoul, Alanod M. Sibih (2025) - [𝜃2 ( 𝜇𝑎 𝐼 − �̇�) − 𝜃𝑐 − 𝑑] 𝑑𝜏 𝑑𝜃 + (𝑐 − 2�̇� − 2𝜃 𝜇𝑎 𝐼 ) 𝜏 +𝜃2 ( 𝐼𝑎 − 𝜇2�̇� 𝐼 ) + 𝜃(𝜇�̇� + 𝐼�̈�) + 𝜇�̇� + 𝐼�̈� = 0, 3𝑎𝜏 + 3𝜃(𝜇𝑎 − 𝐼�̈�) + 𝐼(�̈� − 2�̇�) − 𝜇�̇�̇ = 0. − �̇�2ξθ, ζ2 = ηtt + �̇�(2ηtθ − ξ tt) + �̇�2(𝜂𝜃𝜃 − 2ξtθ) Keywords: analysis; lie; symmetry; 𝜇𝑡 5𝐼

• Bounds for Product Eccentricity Energy of Graphs by Priya Karen S, Arokia Lancy A (2025) - [2] defined the concept of maximum eccentricity matrix. Keywords: Energy, bounds, Product eccentricity energy. Keywords: 𝐸𝑃𝐸(𝐺; 𝑖=1

• Analysis of Non-Linear Characterization for Optical Properties of Thiourea Tartarate by S Raju (2025) - The preset work aim to synthesis and grow Thiourea tartrate single crystals by slow evaporation solution growth technique for higher Non Linear Optical efficiency. EXPERIMENTAL In the present work, we have grown thiourea tartrate single crystals using the slow evaporation method. Keywords: acid; analysis; crystals; sample; single; tartrate; thiourea

• Structural Performance of Diagrid Systems in High-Rise Buildings with Different Geometrical Configurations by Polusani Sharada, P.Neeraja (2024) - [1] Framing building without any load resisting system shows highest drift and displacement value as compared to diagrid system, between the region 63 degree to 75 degree(diagonal angle) diagrid system posses better stiffness, storey drift and storey displacement are less in this region [5] Dr.Gopisiddappa, M.Divyashree&Sindhuja G J “Performance study of High rise building with diagrid system under dynamic loading”International Research Journal of Engineering and Technology,Volume: 04 Issue: 06 | June -2017 . Keywords: analysis; diagrid; maximum; square; storey

• Investigation on Anti-Fuzzy Tssemiring of a Ter.semi-ring by G. Srinivasa Rao (2024) - [( a1, b1 , c1)+(a2, b2 , c2)] =  212121 ,, ccbbaaU  = max  212121 ,, ccbbaaU  )} ≤ max{max{  1aU ,  2aU },max{  1bU ,  2bU )} max{  1cU ,  2cU }}= max{max{  1aU ,  2aU },max{  1bU ,  2bU )}, max{  1cU ,  2cU }} = max{  111 ,, cbaU ,  222 ,, cbaU )} = max{  aU ,  bU }. P ,   P }, Therefore,  P ≤ max{   P ,   Keywords: max
• An operations and relations on the Cartesian Product of Interval Valued Intuitionistic Fuzzy Matrices by R. Amutha, (2025) - Therefore, this paper generalizes the interval valued intuitionistic fuzzy set theory and provides some valuable conclusions for the field of application research of interval valued intuitionistic fuzzy matrices and it is also useful to the generalization of interval valued intuitionistic fuzzy reasoning. We have proved some type of Cartesian product of interval valued intuitionistic fuzzy matrices, which makes it match to some Cartesian product of interval valued intuitionistic fuzzy sets. Keywords: max; min; 𝐴 𝐿; 𝐴 𝑈; 𝐵 𝐿; 𝐵 𝑈; 𝐿 ∙

• Rayleigh Waves Propagation in a Micropolar Viscothermoelastic Half-Space with Impedance Boundary Conditions by Mamatha Kumari (2024) - − 𝑇2(𝑙1𝑛4 − 𝑛1𝑙4)] = 𝑚2[𝑇1(𝑙2𝑛3 − 𝑛2𝑙3) − 𝑇2(𝑙1𝑛3 − 𝑛1𝑙3)] (26) where 𝑙𝑖 = 𝑉1𝑍1 ∗ − 𝑏𝑖 − (1 + 𝑘∗ 𝜇 ) 𝑏𝑖 , (𝑖 = 1,2) 𝑙𝑗 = 𝑉1𝑍1 ∗𝑏𝑗 − 1 − (1 + 𝑘∗ 𝜇∗ ) (1 − 𝑐2 𝑐2 2) , (𝑗 = 3,4) Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 12-07-2024 Abstract This paper deals with the propagation of Rayleigh waves in a micropolar viscothermoelastic half space with impedance boundary conditions. Keywords: impedance; inetcache; micropolar; microsoft; rayleigh; windows

• Growth of Optimizational Principles in Portfolio Analysis through Discrete Entropic Models by Vikramjeet Singh (2024) - y y y       = =    = − + + + + +       (2.8) subject to the set of subsequent constraints: ( ) 10 1 1 2 2 1 0.12j j j j p y y  = + = (2.9) 1 2 1y y+ = (2.10) and 1 20, 0y y  where 1 0.05p = , 2 0.10p = , 3 0.15p = = − + + + − − = + +    (2.11) and ( )  ( ) 10 10 10 2 2 1 1 2 2 2 1 1 1 1 1 2 2 1 log 0 2 j j j j j j j j j j j j p y y p y y          = Keywords: j j; portfolio; y y

• A Study on Signless Laplacian Energy of an Intuitionistic Fuzzy Graphs with Applications to Group Decision Making by Obbu Ramesh, (2025) - We can understand that Intuitionistic fuzzy set is an extremely helpful apparatus to manage vulnerability. This paper covers the EXTENDED VIKOR method and MULTIMOORA method to resolve the problem of evaluation and ranking the potential mailto:obbu.ramesh@presidencyuniversity.in mailto:obbu.ramesh@presidencyuniversity.in Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 9s (2025) 186 https://internationalpubls.com alternatives based on Signless laplacian energy of Intuitionistic fuzzy graphs. Keywords: 0,0;  ;  ;  ;  ;  ;  

• Pseudo CMOS Logic Indium Tin Oxide Thin Film Transistor ZnO for Transparent Electronics by Krishna kant Nayak, Laxmi Singh (2025) - Switching transistor circuits with logic have been developed shaped on “n-type indium tin oxide” (ITO) “ZnO” thin film transistor (TFT) technology. The material used for flow and electrode mixing is metal because it can increase the current rate of the device and reduce the junction resistance of changed transistors, which is a requirement of circuit mixing [7]. Keywords: cmos; ito; pseudo; semiconductor; tft; vol; zno

• Magnetohydrodynamic Effect on 3D Nanofluid Flow via Stretching/Shrinking Surface by S. Rakmaiah (2024) - Alamirew and Awgichew [6] examines the motion of MHD Casson NFs via vertically SS with effect of VD, MC in a spongy medium. [11] M. Revathi Devi, N. Sivakumar, N. Tarakaramu and H. Ahmad, S. Askar, Entropy generation on MHD motion of hybrid nanofluid with porous medium in presence of thermo-radiation and ohmic viscous dissipation, Discover Applied Sciences, 6(4) (2024) 199. Keywords: motion

• Complex Tangent Trigonometric Approach Applied to (γ, τ )-Rung Fuzzy Set using Weighted Averaging, Geometric Operators and its Extension by Raed Hatamleh (2024) - Complex tangent trigonometric approach applied to (γ, τ)-rung fuzzy set using weighted averaging, geometric operators and its extension Raed Hatamleh1, Abdallah Al-Husban2,3, K. Sundareswari4,∗, G.Balaj5, M.Palanikumar6 1Department of Mathematics, Faculty of Science, Jadara University, P.O. Box 733, Irbid 21110, Jordan. 2Department of Mathematics, Faculty of Science, Irbid National University, P.O. Box: 2600 This article will deal with averaging, geometric, generalized weighted averaging, generalized weighted geometric using complex tangent trigonometric (γ, τ)-rung fuzzy set. Keywords: i=1
• A Study on Perfect Rings Dominating Energy of Graphs by Prema M (2025) - [λ4 − 2λ3 − (pq − 1)λ2 + (2pq − (p + q))λ − [pq − (p + q) + 1]] ≈ λp+q−4(λ − 1)[λ3 − λ2 − pqλ − (pq− (p + q))] φ(Kp,q, λ) ≈ λ p+q−4(λ − 1)2(λ2 − pq) iii) Suppose p > q, then the PRD matrix is of the form 𝔓A(Kp,q) = ( P Q R S ) where P = ( 1 O1×p−1 Op−1×1 Op−1 ); Q = (Jp×q) R = (Jq×p); S = ( 1 O1×q−1 Oq−1×1 Oq−1 ) here J and O represents the matrix of 1’s and 0’s. = (2p − 3)|−1| + |p − 1| + | p + √(p − 2)2 + 8 2 | + | p − √(p − 2)2 + 8 2 | Thus, 𝔓𝔈A(Bp,p) Keywords: i=1
• Laplacian Minimum Dominating Quotient Energy of a Graph by Ramesha M S (2025) - And Its characteristic polynomial is [𝜆 − 1](𝑛−2)[𝜆2 − (𝑛 − 1)𝜆 The key characteristics of Laplacian energy, including various upper and lower bounds, have been established in [4, 5] It has been found that Laplacian graph energy has notable applications in areas such as chemical analysis, high-resolution satellite image classification and segmentation, as well as identifying semantic structures in image hierarchies. Keywords: graph 𝐺; i=1

• Impatient Customer Queue with Single Working Vacation by A.Saila kumari (2025) - Figure 3: Effect 𝜂 on 𝐸[𝐿] for different 𝜙 The effect of service rates in working vacation period (𝜂) on the average system length 𝐸[𝐿] for different vacation rates 𝜙 is given in Figure 3. This is due to the service rate in working vacation period is lower than the service rate in normal working period. Keywords: vacation; working; 𝐸[𝐿; 𝑀/𝑀/1

• Generalized Markov Inequality: Extensions, Numerical Illustrations, and Multivariate Chernoff Bounds by Nouara Lazri, Ahlem Djebar (2025) - Keywords : Markov inequality; Chernoff bound; Multivariate Chernoff Bound; Portfolio Risk Assessment. Direct computation of such joint tail probabilities is often intractable, especially when dependencies exist between components. Keywords: bound; inequality; 𝑃(𝑋

• Analysis of Competitive Anxiety among Elite and Amateur Cyclists by Pushpinder Kaur (2025) - In post hoc test there was an insignificant difference of competitive anxiety found between male female elite and amateur cyclists Reference In the present study psychological competitive anxiety difference among the male and 0 10 20 30 40 50 60 70 80 (CYCLISTS) MALE ELITE FEMALE ELITE MALE AMATEUR FEMALE AMATEUR Fig. 1.1 Mean values of competitive anxiety among male and female elite and amateur cyclists MEAN NUMBER Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. ICMASD (2025) 1087 https://internationalpubls.com female elite and amateur cyclists have been investigated and then compared with each other. Keywords: amateur; cyclists; elite; male

• Ethnomathematics in Aashtimki: A Study on Tharu's Culture by Parshuram Chaudhary (2024) - Emic ethnomodeling is used to investigate the mathematical elements embedded into the construction of Aashtimki painting in Tharu's community. The findings of the study revealed that Aashtimki painting have sophisticated mathematical ideas and knowledge and they used the concepts of reflection, rotation, translation and dilation of transformation implicitly. Keywords: aashtimki; painting; rotation; tharu

• Some Properties of The Spectrum of The Power Digraph Γ(n,k) by Sanjay Kumar Thakur (2024) - Also, we have, 𝑑𝑒𝑡((𝐴Γ +)𝑡 − 𝜆𝐼) = 𝑑𝑒𝑡((𝐴Γ +)𝑡 − 𝜆𝐼𝑡), where I is an Identity matrix of order n. ⇒ 𝑑𝑒𝑡(𝐴Γ − − 𝜆𝐼) = 𝑑𝑒𝑡(𝐴Γ + − 𝜆𝐼)𝑡 [ By Result 3.1. , (𝐴Γ +)𝑡 = 𝐴Γ − ] ⇒ 𝑑𝑒𝑡(𝐴Γ − − 𝜆𝐼) = 𝑑𝑒𝑡(𝐴Γ + − 𝜆𝐼) Keywords: digraph; matrices 𝐴γ; matrix 𝐴γ; 𝐴γ +; 𝐴γ −)𝑡; 𝐴γ1; 𝐴γ2; 𝐴γ𝑠

• Bound Inequalities on Degree Sum Energy of Graph by Ramesha M S (2024) - There has been a steady flow of articles on this subject since I. Gutman first established the graph energy 𝐸(𝐺) of a simple graph 𝐺. For basic mathematical properties of the theory of graph energy including its upper and lower bounds one can see [4, 11]. Bounds for the degree sum eigenvalues and degree sum energy of a graph. Keywords: 𝑘=1
• Bounds on Dominating Energy of Graph by Shivakumar Swamy C S (2024) - For basic mathematical properties of the theory of graph energy including its upper and lower bounds one can see [ 20, 21, 22]. [18] J. H. Koolen and V. Moulton, Maximal energy graphs, Adv. in Appl. Keywords: 𝑘=1

• Quasi D-Limits Of Bounded Sequences And Regular Matrices by Sakambari Mishra (2025) - If we define 𝑑𝑛𝑘 = { 1 𝑛 , 𝑖𝑓 1 ≤ 𝑘 ≤ 𝑛 0 , 𝑒𝑙𝑠𝑒𝑤ℎ𝑒𝑟𝑒 (3.1) then the matrix 𝐷 = (𝑑𝑛𝑘) is a Cesaro matrix of order one which is a translation matrix and its quasi 𝐷-limit [3] or quasi Banach limit exists as it is a nonnegative, regular and 𝐷(= 𝐵)- Invariant matrix. We now propose the following definitions for new kind of 𝐷-convergent sequences, called as quasi 𝐷-convergent sequence. Keywords: quasi

• Generalized Modulus of Smoothness and K-functional. by Bushra Kadhum Awaad (2024) - 𝜏𝑦 (𝑓) − 𝜏0 (𝑓) = − ∫ (1 − 𝜈)−1(1 − 𝜈)−5 ∫ (1 + 𝑢)4−1 𝜈 𝑦 1 𝜏𝑢(𝐷𝑥,2,2𝑓, 𝑥)𝑑𝑢𝑑𝜈 . − 𝜏𝜋 2 (𝑓) = − ∫ (sin 𝜈 2 ) −1 (cos 𝜈 2 ) −9 ∫ 𝜏𝑢(𝐷𝑥,2,2𝑓, 𝑥) 𝜋 𝜈 𝑡 𝜋 2 sin 𝑢 2 (cos 𝑢 2 ) 9 𝑑𝑢𝑑𝜈 . Keywords: cos; sin

• Pure and Weakly Pure Elements in Lattice Modules by Santosh Mitkari (2024) - Element N ∈ M is said to be multiplication, if for every K ∈ M with K ≤ N there exists an element a ∈ L such that K = aN. It is also noted that, N ∈ M is a multiplication element if and only if N is weak meet principal in M . 2. 1LN = N ; for 1L ∈ L and N ∈ M . Keywords: element

• Some Special Structures of〖 δ〗_1 Near-Rings by S.Sivanthi (2025) - [we write xy for x.y for all x, y in N] and (iii) (𝑥 + 𝑦)𝑧 = 𝑥𝑧 + 𝑦𝑧 for all x, y, z in N. Because of (iii) 0n =0 for all n in N. As we do not stipulate the left distributive law, n0 = 0” need not hold good for all n in N. We say that N is zero-symmetric if 𝑛0 = 0 for all n in N. N is called an S-near-ring or an S'-near-ring according as 𝑥 ∈ 𝑁𝑥 or 𝑥 ∈ 𝑥𝑁 for all 𝑥 ∈ 𝑁. A subgroup M of N is called an Nsubgroup if 𝑁𝑀 ⊂ 𝑀 and an invariant N-subgroup if, in addition, 𝑀𝑁 ⊂ 𝑀. An ideal I of N is called a semi prime ideal if for all ideals J of N. 𝐽2 ⊂ 𝐼 ⇒ 𝐽 ⊂ 𝐼 . Now 𝑥2 ∈ 𝑥𝑁 for all x in N ⇒ 𝑥2 ∈ 𝑁𝑥2 Keywords: near; ring

• Structural Study of ZnO Nanostructures on Porous Silicon: Effect of Precursor Molarity by Kevin Alvin Eswar (2025) - Precursor molarities in the range of 0.01 M to 0.20 M were used in order to study its effect on structural property of ZnO nanostructures. There are several methods have been used to produce ZnO nanostructure such as radio frequency magnetron sputtering, chemical vapour deposition, spin coating method, hydrothermal method, pulsed laser deposition and spray pyrolysis [3-7]. Keywords: molarity; nanostructures; peak; plane; vol; zno

• Development of Framework for a Comparative Study of Long Pepper (Piper Longum) and Black Pepper (Piper Nigrum) through Organoleptic Evaluation by Bhumika Raghunath (2025) - Overall Acceptability (r-value = 0.8, p-value = 0.00): the correlation is medium, positive and significant with scope for improvement similar to Paneer with black pepper by replacing black pepper with long pepper that mellows flavours that could improve taste, mouthfeel, aroma, and appearance while the correlation of Rasam with Long pepper (R2) having Appearance (r-value = 0.6, p-value = 0.00) Aroma (r-value = 0.7, p-value = 0.00) Taste (r-value = 0.8, p-value = 0.00), Mouthfeel (r-value = 0.8, p-value = 0.00), Aftertaste (r-value = 0.8, p-value 0.00) and Overall Acceptability(r-value = 0.9, p-value = 0.00) are high, positive and significant. Using Paneer Pepper Fry and Pepper Rasam, two recipes that had long pepper and black pepper as main ingredients, a survey was conducted using organoleptic analysis. Keywords: aftertaste; appearance; aroma; mouthfeel; pepper; piper; taste; value =

• Exploring Quadruple Fixed Points in Fuzzy Metric Spaces for Occasionally Weakly Compatible Mappings by Sandhya Shukla, Priyanka Nigam (2025) - Next we show that 𝑥 = 𝑦, for this putting 𝑥 = 𝑎 , 𝑦 = 𝑏 , 𝑧 = 𝑐, 𝑝 = 𝑑, 𝑢 = 𝑏′ , 𝑣 = 𝑐′, 𝑤 = 𝑑′, 𝑟 = 𝑎′ in (i), 𝑀(𝑥, 𝑦, 𝑞𝑡) = 𝑀(𝐴(𝑎, 𝑏, 𝑐, 𝑑), 𝐵(𝑏′, 𝑐′, 𝑑′, 𝑎′), 𝑞𝑡) ≥ 𝑚𝑖𝑛 { 𝑀(𝑆𝑎, 𝑇𝑏′, 𝑡), 𝑀(𝐴(𝑎, 𝑏, 𝑐, 𝑑), 𝑆𝑎, 𝑡), 𝑀(𝐵(𝑏′, 𝑐′, 𝑑′, 𝑎′), 𝑇𝑏′, 𝑡), 𝑀(𝑆𝑎, 𝐵(𝑏′, 𝑐′, 𝑑′, 𝑎′), 𝑡), 𝑀(𝐴(𝑎, 𝑏, 𝑐, 𝑑), 𝑇𝑏′, 𝑡) } = 𝑚𝑖𝑛{𝑀(𝑥, 𝑦, 𝑡), 𝑀(𝑥, 𝑥, 𝑡), 𝑀(𝑦, 𝑦, 𝑡), 𝑀(𝑥, 𝑦, 𝑡), 𝑀(𝑥, 𝑦, 𝑡)} = 𝑀(𝑥, 𝑦, 𝑡) ⟹ 𝑥 = 𝑦 × 𝑋 × 𝑋 → 𝑋 if 𝑥 = 𝑓(𝑥, 𝑦, 𝑧, 𝑡), 𝑦 = 𝑓(𝑦, 𝑧, 𝑡, 𝑥), 𝑧 = 𝑓(𝑧, 𝑡, 𝑥, 𝑦), 𝑡 = 𝑓(𝑡, 𝑥, 𝑦, 𝑧). Keywords: 𝑇𝑎′
• Reimagining Fixed Points: Exploring the Role of Occasionally Weakly Compatible Mappings in Fuzzy Metrics by Priyanka Nigam, Sandhya Shukla (2025) - Fixed point theorems, involving four self-maps, began with the assumption that they are commuted. [1] T. G. Bhaskar and V. Lakshmikantham, Fixed point theorems in partially ordered metric spaces and applications, *Nonlinear Analysis: Theory, Methods & Applications*, vol. 65, no. 7, pp. Keywords: 𝑇𝑎′

• Extended Reverse R Degrees of Vertices and Extended Reverse R indices of Graphs by T. Lavanya (2024) - = 𝑛(𝑚 − 1){(𝑛(𝑚 − 1)[(𝑚 − 1)(𝑛 − 1) + 1] + = 𝑛(𝑚 − 1){(𝑛(𝑚 − 1)[(𝑚 − 1)(𝑛 − 1) + 1] + Keywords: 𝑚 +; 𝔼ℜℛ

• Decision–Making Problem for Triangular Hesitant Fuzzy Set by E. Fany Helena (2024) - By using step 3 in an algorithm (3), We have �̃�1 = 0.0746 ; �̃�2 = 0.1729; �̃�3 = 0.0648; �̃�4 = 0.1172⁡; �̃�5 = 0.1316 �̃�6 = 0.1790; �̃�7 = 0.1201; �̃�8 = 0.0909; �̃�9 = 0.0483; �̃�10 = 0.0006 Also, the weighted expected value for each alternative �̃�𝑖 �̃�′ 𝑊(�̃�1) = 0.2289 �̃�′ 𝑊(�̃�2) = 0.1370 �̃�′ 𝑊(�̃�3) = 0.2601 �̃�′ 𝑊(�̃�4) Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 5s (2024) 282 https://internationalpubls.com Algorithm: 3.7 (New Method using Mid Value Ranking and Variance) Let �̃� = { �̃�1, �̃�2, … . , �̃�𝑢} be an alternative to a set. Keywords: 0.7,0.9; ̃ �; � ̃; 𝑊( �

• Numerous Determinants Identities Involving Jacobsthal and Jacobsthal Lucas Numbers by T.Ragunathan (2024) - Two higher Hessenberg matrices were analyzed, demonstrating that their permanents correspond to Jacobsthal numbers. The determinant identities can be expressed using the Trudi formula as equations that consist of combinations of Jacobsthal numbers and multinomial coefficients. Keywords: ɉn+1

• A Class of Analytic Functions with respect to Symmetric Points Involving Multiplicative Derivative by Kadhavoor R. Karthikeyan (2024) - If 𝜑(𝜔) ∈ ℳ𝑘(𝜒), with the logarithmic coefficients given by (4.1), then, |𝑑1| ≤ 𝐿1 2| 1 − Γ2,𝑘| |𝑑2| ≤ 𝐿1 2| 2 − Γ3,𝑘| max {1; | 𝐿2 𝐿1 − 𝐿1 (Γ2,𝑘 2 − Γ2,𝑘 − 1 2) (1 − Γ2,𝑘) 2 − 𝐿1(2 − Γ3,𝑘) 2(1 − Γ2,𝑘) 2|}. For 𝜇 ∈ ℂ, we have |𝑑2 − 𝜇𝑑1 2| ≤ 𝐿1 2| 2 − Γ3,𝑘| max {1; | 𝐿2 𝐿1 − 𝐿1 (Γ2,𝑘 2 − Γ2,𝑘 − 1 2) (1 − Γ2,𝑘) 2 − 𝐿1(1 + 𝜇)(2 − Γ3,𝑘) 2(1 − Γ2,𝑘) 2 |}. Keywords: γ2,𝑘; − 𝐿1; − 𝐿2; 𝐿2 𝐿1

• Outcomes for The Analysis of The Existence of Fuzzy Fractional Differential Equations by P.Dhanalakshmi (2024) - ⊙ ‖∫ 𝜏1 𝜏0 (𝜏1 − 𝔮𝑠)𝛼−1𝜙(𝑠) 𝑑𝔮𝑠 − ∫ 𝜏2 𝜏0 (𝜏2 − 𝔮𝑠)𝛼−1𝜙(𝑠) 𝑑𝔮𝑠‖ + 1 Γ𝔮(𝛼) ⊙ ‖∫ 𝜏1 𝜏0 (𝜏1 − 𝔮𝑠)𝛼−1𝑓(𝑠, 𝜙(𝑠), 𝒢𝑢(𝑠), 𝒮𝑢(𝑠)) 𝑑𝔮𝑠 − ∫ 𝜏2 𝜏0 (𝜏2 − 𝔮𝑠)𝛼−1𝑓(𝑠, 𝜙(𝑠), 𝒢𝜙(𝑠), 𝒮𝜙(𝑠)) 𝑑𝔮𝑠‖ Consider 𝜆 Γ𝔮(𝛼) ⊙ ‖∫ 𝜏1 𝜏0 (𝜏1 − 𝔮𝑠)𝛼−1𝜙(𝑠)𝑑𝔮𝑠 − ∫ 𝜏2 𝜏0 (𝜏2 − 𝔮𝑠)𝛼−1𝜙(𝑠)𝑑𝔮𝑠‖ ≤ 𝜆 Γ𝔮(𝛼) ⊙ ∫ 𝜏1 𝜏0 ((𝜏1 − 𝔮𝑠)𝛼−1 − (𝜏2 − 𝔮𝑠)𝛼−1)‖𝜙(𝑠)‖𝑑𝔮 + 𝜆 Γ𝔮(𝛼) ⊙ ∫ 𝜏2 𝜏0 ((𝜏2 − 𝔮𝑠)𝛼−1)‖𝜙(𝑠)‖𝑑𝔮𝑠 ≤ 𝜆 Γ𝔮(𝛼) ⊙ ∫ 𝜏1 𝜏0 ((𝜏1 − 𝔮𝑠)𝛼−1 − (𝜏2 − 𝔮𝑠)𝛼−1)(‖𝜙(𝑠) − 𝜙0‖ + ‖𝜙0‖)𝑑𝔮𝑠 ≤ 𝜆 Γ𝔮(𝛼) ⊙ ∫ 𝜏1 𝜏0 ((𝜏1 − 𝔮𝑠)𝛼−1 − (𝜏2 − 𝔮𝑠)𝛼−1)(𝜖 + ‖𝜙0‖)𝑑𝔮𝑠 + 𝜆 Γ𝔮(𝛼) ⊙ ∫ 𝜏2 𝜏0 ((𝜏2 − 𝔮𝑠)𝛼−1)(𝜖 + ‖𝜙0‖)𝑑𝔮𝑠 ≤ 𝜆(𝜖+‖𝜙0‖) Γ𝔮(𝛼) Consider 1 Γ𝔮(𝛼) ⊙ ‖ ∫ 𝜏1 𝜏0 (𝜏1 − 𝔮𝑠)𝛼−1𝑓(𝑠, 𝜙(𝑠), 𝒢𝜙(𝑠), 𝒮𝜙(𝑠))𝑑𝔮𝑠 − ∫ 𝜏2 𝜏0 (𝜏2 − 𝔮𝑠)𝛼−1𝑓(𝑠, 𝜙(𝑠), 𝒢𝜙(𝑠), 𝒮𝜙(𝑠))𝑑𝔮𝑠 ‖ ≤ 1 Γ𝔮(𝛼) ⊙ ∫ 𝜏1 𝜏0 ((𝜏1 − 𝔮𝑠)𝛼−1 − (𝜏2 − 𝔮𝑠)𝛼−1)‖𝑓(𝑠, 𝜙(𝑠), 𝒢𝜙(𝑠), 𝒮𝜙(𝑠)) Keywords: γ𝔮(𝛼; ⊙ ∫; 𝜏 𝜏0

• Relation Between the Fractional Domination Number of Some Graphs and their Line Graphs by Mahesh Sarada (2024) - Line graph: Line graph of 𝐺 is 𝐿 (𝐺) having its vertices are converted as the edges of original graph 𝐺 with two vertices of graph 𝐿 (𝐺) are adjacent for the condition if corresponding edges share a common vertex in graph 𝐺. Another definition that the vertices of 𝐿 (𝐺) are the edges of graph 𝐺 with two vertices are adjacent whenever the corresponding edges of 𝐺 are adjacent. A subset 𝐷 ⊆ 𝑉 is known as a distance k-domination set of graph 𝐺 if f every 𝑣 ∈ 𝑉 − 𝐷, there exists a vertex 𝑢 ∈ 𝐷 such that 𝑑 (𝑢, 𝑣) ≤ 𝑘. Keywords: graph 𝐺; graph 𝐿(𝐺; graph 𝑃𝑛; product 𝐺; × 𝑃𝑛; 𝐺 =; 𝐺 𝘜; 𝐿(𝐺

• Computational Framework on MHD Hybrid Nanofluid Flow Over A Stretching Surface with Thermal Radiation by G. Kavitha (2024) - Mf G G G     + − − − = (10) ( ) 25 4 3 3 4 0. 3 G G Rd G Prf MEc f G k G k k k k k                      = − −      = − − + +    Keywords: hnf; vol

• Generalization of Bi- Г-Ideals in Ternary Г-Semirings by K. Maha lakshmi (2024) - Thus D M D M D D          i D M D M D D M D M D D              ( ) ( ) ( ) .i Keywords: j j; 

• Some Product in Bipolar Valued Multi I-Fuzzy Subrings of a Ring by K.Vairamuthu (2024) - Keywords: Interval-valued fuzzy subset, bipolar valued fuzzy subset, bipolar valued multi fuzzy subset, bipolar valued multi I-fuzzy subset, bipolar valued multi fuzzy subring, bipolar valued multi I-fuzzy subring, product, and strongest relation. = (𝔓𝑖 + × 𝔚𝑖 +)(𝔬, 𝔡) 𝑎𝑛𝑑 (𝔓𝑖 − × 𝔚𝑖 −)(𝔥, 𝔷) = (𝔓𝑖 − × 𝔚𝑖 −)(𝔬, 𝔡), for all i = 1, 2, … , n} is either empty or 𝑎 subring 𝔎1 × 𝔎2, where 𝔬, 𝔡 are first operation identity elements of 𝔎1 and 𝔎2. Keywords: 𝔓i +; 𝔓𝑖 +; 𝔚𝑖 +; 𝔚𝑖 −(𝜁; 𝔚𝑖 −(𝜐; 𝔚𝑖 −(𝜚; 𝔚𝑖 −)(𝔬; 𝔚𝑖 −)[(𝔥1; 𝔹𝕍𝕄𝕀𝔽𝕊ℝ

• Pseudo Symmetric Ideals in Near Subtraction Semigroups by Jayarami Reddy.M (2024) - The fundamental concept of this work is to learn about PS ideals in NSSG and PSNSSG and some of the results were proved regarding NSSG. Theorem 3.4 :The family of non empty intersection of PS ideals of a NSSG X a PS is an ideals of X. Proof : Assume that { 𝐴𝛼}∝𝜖∆a family of PSI of X and letA=⋂ 𝐴𝛼𝛼𝜖∆ . Keywords: nssg

• Computation Zagreb, Randic, and general sum-connectivity polynomials on symmetrical chemical dendrimer by Mohammed W. Mihan (2024) - x            Proof : By using definition third Zagreb polynomial (dv du)(dv du) 3 vu E(G) Re Z (G, x) x      vu E(G) vu E(G) vu E(G) (2 2)(2 2) (2 3)(2 3) (3 3)(3 3)               No. 7s (2024) 555 https://internationalpubls.com (2 2) (2 3) (3 3) (3 4) vu E(G) vu E(G) vu E(G) vu E(G) x x x x                   Keywords: e(g; uv e(g; vu e(g;  ;  

• Nano C τ & Nano*gα -compactness in Nts by K. Baby (2024) - Nano*gα open sets in U . A collection {𝐴𝑖 : i ∈ I } of Nano*gα -open sets in Nts (𝑈, 𝜏𝑅(𝑋)) is called Nano∗ gα-open cover of a subset A in (𝑈, 𝜏𝑅(𝑋)) Keywords: nano*gα; 𝜏𝑅(𝑋

• An In-Depth Exploration of The Properties and Theoretical Foundations of Neutrosophic Generalized Semipreclosed Sets in Neutrosophic Topological Spaces by S. Sathishkumar (2024) - Next, suppose that �̅� ⊆ �̅� and that �̅� is an NSO in (X, ). In (X, ), �̅� is therefore an NSGSPCS but not an NSαCS. Keywords: ̅ �; � ̅; 𝑈 ̅; 𝑋,; 𝑛𝑠𝑐𝑙( �; 𝑛𝑠𝑠𝑝𝑐𝑙( �

• Tripled Fixed Point Results in G_b-Metric Spaces by V. Rajitha (2024) - Since ℱ commutes with ℋ and by equation (3.4.1) ₢𝑏(ℱℱℐ𝑛+1, ℋ(𝜌, 𝜎, 𝔡), ℋ(𝜌, 𝜎, 𝔡)) + ₢𝑏(ℱℱή𝑛, ℋ(𝜎, 𝔡, 𝜌), ℋ(𝜎, 𝔡, 𝜌)) + ₢𝑏(ℱℱϱ𝑛 , ℋ(𝔡, 𝜌, 𝜎), ℋ(𝔡, 𝜌, 𝜎)) = ₢𝑏 (ℱ(ℋ(ℐ𝑛, ή𝑛, ϱ𝑛)), ℋ(𝜌, 𝜎, 𝔡), ℋ(𝜌, 𝜎, 𝔡)) + ₢𝑏 (ℱ(ℋ(ή𝑛, ϱ𝑛, ℐ𝑛)), ℋ(𝜎, 𝔡, 𝜌), ℋ(𝜎, 𝔡, 𝜌)) + ₢𝑏 (ℱ(ℋ(ϱ𝑛, ℐ𝑛, ή𝑛)), ℋ(𝔡, 𝜌, 𝜎), ℋ(𝔡, 𝜌, 𝜎)) Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 8s (2024) 437 https://internationalpubls.com = ₢𝑏 (ℋ((ℱℐ𝑛, ℱή𝑛, ℱϱ𝑛)), ℋ(𝜌, 𝜎, 𝔡), ℋ(𝜌, 𝜎, 𝔡)) + ₢𝑏 (ℋ((ℱή𝑛, ℱϱ𝑛, ℱℐ𝑛)), ℋ(𝜎, 𝔡, 𝜌), ℋ(𝜎, 𝔡, 𝜌)) + ₢𝑏 (ℋ((ℱϱ𝑛, ℱℐ𝑛, ℱή𝑛)), ℋ(𝔡, 𝜌, 𝜎), ℋ(𝔡, 𝜌, 𝜎)) ≤ 𝜃[₢𝑏(ℱℱℐ𝑛, ℱ𝜌, ℱ𝜌) + ₢𝑏(ℱℱή𝑛, ℱ𝜎, ℱ𝜎) + ₢𝑏(ℱℱϱ𝑛, ℱ𝔡, ℱ𝔡)]. From (3.4.4)we get ₢𝑏(ℱℱℐ𝑛+1, ℋ(𝜌, 𝜎, 𝔡), ℋ(𝜌, 𝜎, 𝔡)) + ₢𝑏(ℱℱή𝑛, ℋ(𝜎, 𝔡, 𝜌), ℋ(𝜎, 𝔡, 𝜌)) + ₢𝑏(ℱℱϱ𝑛 , ℋ(𝔡, 𝜌, 𝜎), ℋ(𝔡, 𝜌, 𝜎)) → 0 𝑎𝑠 𝑛 → ∞. On the other hand, ℱ is continuous, ₢𝑏(ℱℱℐ𝑛+1, ℋ(𝜌, 𝜎, 𝔡), ℋ(𝜌, 𝜎, 𝔡)) + ₢𝑏(ℱℱή𝑛, ℋ(𝜎, 𝔡, 𝜌), ℋ(𝜎, 𝔡, 𝜌)) + ₢𝑏(ℱℱϱ𝑛, ℋ(𝔡, 𝜌, 𝜎), ℋ(𝔡, 𝜌, 𝜎)) → ₢𝑏(ℱ𝜌, ℋ(𝜌, 𝜎, 𝔡), ℋ(𝜌, 𝜎, 𝔡)) + ₢𝑏(ℱ𝜎, ℋ(𝜎, 𝔡, 𝜌), ℋ(𝜎, 𝔡, 𝜌)) + ₢𝑏(ℱ𝔡, ℋ(𝔡, 𝜌, 𝜎), ℋ(𝔡, 𝜌, 𝜎)) 𝑛 → ∞. It gives ₢𝑏(ℱ𝜌, ℋ(𝜌, 𝜎, 𝔡), ℋ(𝜌, 𝜎, 𝔡)) + ₢𝑏(ℱ𝜎, ℋ(𝜎, 𝔡, 𝜌), ℋ(𝜎, 𝔡, 𝜌)) + ₢𝑏(ℱ𝔡, ℋ(𝔡, 𝜌, 𝜎), ℋ(𝔡, 𝜌, 𝜎)) Keywords: ℱϱ𝑝+1; ℱή𝑚

• On δgα Closure and δgα Interior S In TSS by M. Madhesan (2024) - But δgα − cl(E) is δgα − C containing E and δgα − cl(F) is δgα − C containing F. = E. 2. δgα − cl(E) is the smallest δgα − C sub of X containing E. 3. δgα − cl () is empty, δgα − cl (X)= X. 4. δgα − cl(E) is a δgα − C in (X, ). Keywords: δgα

• Existence and Approximate Controllability of Random Impulsive Neutral Functional Differential Equation with Finite Delay by Tharmalingam Gunasekar (2024) - − ∫ h 0 T1(h − ϖ)ρ(ϖ,φϖ(. , ℵ), ℵ)dϖ +∫ h 0 T2(h − ϖ)Υ(ϖ,φϖ(. , ℵ), ℵ)dϖ + ∑0Keywords: + ∫; space 𝒮; ℵ||𝒟; − ∫

• On Arithmetical Traits of Doubt Fuzzy T-Ideals beneath the Normalization is a T-Algebra by CT. Nagaraj (2024) - Theorem: 3.3 Let any 𝐷𝐹𝑇𝐼 Ώ of ᾎ, we can generate the 𝑁𝐷𝐹𝑇𝐼 of ᾎ ⊂ Ώ. Proof: Let Ώ be a 𝐷𝐹𝑇𝐼 of ᾎ. Define a 𝐷𝐹𝑆 Ώn of ᾎ as Ώ𝑛(ã) = Ώ(ã) + Ώ𝑐(0), ∀ã ∈ ᾎ. Let ã, ɓ ∈ ᾎ (i) Ώ𝑛(0) = Ώ(0) + Ώ𝑐(0) ≤ Ώ(ã) + Ώ𝑐(0) = Ώ𝑛(ã) ⇒ Ώ𝑛(0) ≤ Ώ𝑛(ã) (ii) Ώ𝑛(ã ∗ ĉ) = Ώ((ã ∗ ɓ) ∗ ĉ) + Ώ𝑐(0) ≤ 𝑚𝑎𝑥{Ώ((ã ∗ ɓ) ∗ ĉ), Ώ(ɓ)} + Ώ𝑐(0) = 𝑚𝑎𝑥{[Ώ((ã ∗ ɓ) ∗ ĉ) + Ώ𝑐(0)], [Ώ(ɓ) + Ώ𝑐(0)]} = 𝑚𝑎𝑥{Ώ𝑛((ã ∗ ɓ) ∗ ĉ), Ώ𝑛 (ɓ)} ⇒Ώ𝑛(ã ∗ ĉ) ≤ 𝑚𝑎𝑥{Ώ𝑛((ã ∗ ɓ) ∗ ĉ), Ώ𝑛 (ɓ)} Also Ώ𝑛(0) = Ώ(0) + Ώ𝑐(0) = Ώ(0) = 𝑓(Ώ (0)) ≤ 𝑓(Ώ(ã)) = Ώ𝑓(ã) ⇒ Ώ𝑓(0) ≤ Ώ𝑓(ã) (b) Ώ𝑓(ã ∗ ĉ) = 𝑓(Ώ (ã ∗ ĉ)) ≤ 𝑓 {𝑚𝑎𝑥{Ώ((ã ∗ ɓ) ∗ ĉ), Ώ(ɓ)}} = 𝑚𝑎𝑥{𝑓(Ώ(ã ∗ ɓ) ∗ ĉ), 𝑓(Ώ(ɓ))} = 𝑚𝑎𝑥{Ώ𝑓((ã ∗ ɓ) ∗ ĉ), Ώ𝑓(ɓ)} Keywords: 𝐷𝐹𝑇𝐼

• Some Common Fixed Point Theorems in Neutrosophic Metric Spaces by Pandiselvi. M (2024) - In view of Lemma (2.9), we have �̈�𝔨 = �̈�𝜍̃ and therefore �̈�𝔨 = 𝔏𝔨 = �̈�𝜍̃ = 𝔚𝜍̃. (3.4.4) Suppose that the pair {𝔄,̈ 𝔏} have an another coincidence point 𝔴 ∈ Ξ. i.e., �̈�𝔴 = 𝔏𝔴. Now, ℜ(�̈�𝔴, �̈�𝜍̃, 𝔡𝜚) ≥ min{ℜ(𝔏𝔴, 𝔚𝜍̃, 𝜚), ℜ(𝔏𝔴, �̈�𝔴, 𝜚), ℜ(�̈�𝜍̃, 𝔚𝜍̃, 𝜚), ℜ(�̈�𝔴, 𝔚𝜍̃, 𝜚), ℜ(�̈�𝜍̃, 𝔏𝔴, 𝜚)} = min{ℜ(�̈�𝔴, �̈�𝜍̃, 𝜚), ℜ(�̈�𝔴, �̈�𝔴, 𝜚), ℜ(�̈�𝜍̃, �̈�𝜍̃, 𝜚), ℜ(�̈�𝔴, �̈�𝜍̃, 𝜚), ℜ(�̈�𝜍̃, �̈�𝔴, 𝜚)} = min{ℜ(�̈�𝔴, �̈�𝜍̃, 𝜚), 1,1, ℜ(�̈�𝔴, �̈�𝜍̃, 𝜚), ℜ(�̈�𝜍̃, �̈�𝔴, 𝜚)} = ℜ(�̈�𝔴, �̈�𝜍̃, 𝜚). If there exists 𝔡 ∈ (0, 1) such that ℜ(𝔏𝔨, 𝔏𝜍̃, 𝔡𝜚) ≥ �̃�ℜ(�̈�𝔨, 𝔄𝜍̃̈ , 𝜚) + �̃� 𝑚𝑖𝑛{ℜ(�̈�𝔨, �̈�𝜍̃, 𝜚), ℜ(𝔏𝔨, �̈�𝔨, 𝜚), ℜ(𝔏𝜍̃, �̈�𝜍̃, 𝜚)} 𝔖(𝔏𝔨, 𝔏𝜍̃, 𝔡𝜚) ≤ �̃�𝔖(�̈�𝔨, �̈�𝜍̃, 𝜚) + �̃� 𝑚𝑎𝑥{𝔖(�̈�𝔨, �̈�𝜍̃, 𝜚)𝔖(𝔏𝔨, �̈�𝔨, 𝜚), 𝔖(𝔏𝜍̃, �̈�𝜍̃, 𝜚)} and 𝔗(𝔏𝔨, 𝔏𝜍̃, 𝔡𝜚) ≤ �̃�𝔗(�̈�𝔨, �̈�𝜍̃, 𝜚) + �̃� 𝑚𝑎𝑥{𝔗(�̈�𝔨, �̈�𝜍̃, 𝜚), 𝔗(𝔏𝔨, �̈�𝔨, 𝜚), 𝔗(𝔏𝜍̃, �̈�𝜍̃, 𝜚)} (3.10.1) Keywords: ̈ �; � ̈; � �; � 𝜍̃; 𝔄,̈ 𝔏; 𝔖( �; 𝔗( �; 𝔚𝜍̃

• On P-Stable Functions by M P Jeyaraman (2024) - [𝒥0,𝐵 𝛿1+𝛿2(𝑧)]−1, for 𝑧 ∈ Δ. 2. Then ℎ1 is 𝒫-stable with respect to ℎ2, whenever 𝒫𝑛(ℎ1, 𝑧) ℎ1(𝑧) ≺ 1 ℎ2(𝑧) (𝑧 ∈ Δ), holds for all 𝑛 ∈ ℕ. Here ’≺’ stands for subordination and 𝒫𝑛(ℎ, 𝑧) = 𝒫𝑛(𝑧) ∗ ℎ(𝑧) where 𝒫𝑛(𝑧) denote the 𝑛-degree polynomial induced by the (𝑛 + 1)th row entities in an admissible lower triangular matrix. Keywords: 𝒥0,𝐵; 𝒥𝐴,𝐵

• Contractive Fixed Point Theorems in Cone G- Metric Spaces by M. Uma (2024) - [11] I. Beg, M. Abbas, T. Nazir, Generalized cone metric spaces, J. Nonlinear Sci. Cone G-metric spaces, a generalisation of G-metric spaces and cone metric spaces, were recently introduced by Beg et al. Keywords: cone; qan

• An Introduction to Ternary Γ-Semirings by G. Chandrasekhar (2024) -         Lemma 4.6: If : :R R R  → is defined by ( ) ( )R x x = and RI is the identity function on  , then ( , ) : ( , ) ( : , )R RI R R   →  is an epi-morphism. Keywords: ternary

• Stability, and Almost Sensitivity of Induced Maps by Amalraj. P (2024) - We prove that there exist a sequence {𝑓�̃�} in 𝜓(𝐶(𝑋))which converges to F such that there is f ∈ C(X) satisfies 𝑓 = 𝐹. Consider 𝜓−1(𝑓𝑛) = 𝑓𝑛. For every ϵ > 0, take N > 0 such that 𝑑(𝑓𝑛, 𝑓𝑚) < ϵ, for every n,m ⩾ N and all x ∈ X. Since {fn} is a cauchy in C(X), which is a complete metric space, there exist f ∈ C(X) such that {fn} converges to f. Since 𝜓 is continuous {𝜓(𝑓𝑛)} Keywords: k(x; 𝐾(𝑋

• Logic Density in Gabor Frame Structures by Manal Yagoub Ahmed Juma (2024) - − 𝑝 − 1, 𝑛 ∈ 𝕫}, 𝐿(𝑠, 𝑡) = {𝑙: 𝐿(𝑠): 𝑙 = 𝑡 + 𝑚𝑞,𝑚 ∈ 𝕫}and 1,… . , 𝑞 − 1. 6. Hypothesis Equations in the previous part become tedious for arbitrary 𝜀 + 1, 𝜀 − 1with 𝜀 ∈ 𝑄,𝜀 < √2. Keywords: 𝐿2(ℝ

• Complex cubic intuitionistic fuzzy set applied to subbisemirings of bisemirings using homomorphism by Raed Hatamleh (2024) - � µZ((~2 �2 ð2)) · ei2πβZ((~2�2ð2)),then µZ((~1 �2 ð1)) · ei2πβZ((~1�2ð1)) � µZ((~2 �3 ð2)) · ei2πβZ((~2�3ð2)),then µZ((~1 �3 ð1)) · ei2πβZ((~1�3ð1)) Keywords: comcifsbs; � t

• Bounded Closed Interval-Valued Decagonal Fuzzy Number and its Application by T. Gunasekar (2024) - Lower fuzzy number �̃̃�𝐿 and upper fuzzy number �̃̃�𝑈. Keywords: Fuzzy sets, Fuzzy numbers, Decagonal Fuzzy numbers, Bounded Closed interval 1. Keywords: 2.10)𝑈; 𝐴1 𝐿; 𝐴2 𝑈; 𝐵 𝐶; 𝐵1 𝐿; 𝐵2 𝑈; 𝐿 ⩘; 𝑈 ⩘; 𝑉 𝑍; 𝛾10 2.10)𝑈

• New algebraic structures such as q-rung interval-valued intuitionistic fuzzy set applied to logarithm operator and its extension by G. Shanmugam (2024) - If all Mi = 〈 (logT l M i, logT u Mi), (logF l M i, logF u Mi) 〉 are equal and Mi = M , for i = 1, 2, ..., n. Then q-LIVIFWG (M1,M2, ...,Mn) =M . If all Mi = 〈 (logT l M i, logT u Mi), (logF l M i, logF u Mi) 〉 are equal and Mi = M . Keywords: l m; log∏; t l; t u

• A New Type of (ϵ)- Lorentzian Para-Sasakian Manifolds by Shadab Ahmad Khan (2024) - [𝑔(𝑌, 𝑍)𝑔(𝑋,𝑊) − 𝑔(𝑋, 𝑍)𝑔(𝑌,𝑊)] 𝑔(𝑅(𝑋, 𝑌)𝑍,𝑊) = { 𝑟 − 2𝜖(𝑛 − 1)(𝛼2 + 𝛽2) (𝑛 − 1)(𝑛 − 2) } { 𝑔(𝑌, 𝑍)𝑔(𝑋,𝑊) − 𝑔(𝑋, 𝑍)𝑔(𝑌,𝑊) } + { 𝑟 − 𝜖𝑛(𝑛 − 1)(𝛼2 + 𝛽2) (𝑛 − 1)(𝑛 − 2) } { 𝜂(𝑌)𝜂(𝑍)𝑔(𝑋,𝑊) −𝜂(𝑋)𝜂(𝑍)𝑔(𝑌,𝑊) +𝜂(𝑋)𝜂(𝑊)𝑔(𝑌, 𝑍) −𝜂(𝑌)𝜂(𝑊)}𝑔(𝑋, 𝑍)} In view of definition (2.1) and above relation, we have the following. Let us suppose 𝐹(𝑋, 𝑌) = 𝑝𝑔(𝑋, 𝑌) + 𝑞 (𝑋)𝜂(𝑌) (4.6) where, 𝑝 = √{ 𝑟 − 2𝜖(𝑛 − 1)(𝛼2 + 𝛽2) (𝑛 − 1)(𝑛 − 2) } and 𝑞 = { 𝑟 − 𝜖𝑛(𝑛 − 1)(𝛼2 + 𝛽2) (𝑛 − 1)(𝑛 − 2) }√{ (𝑛 − 1)(𝑛 − 2) 𝑟 − 2𝜖(𝑛 − 1)(𝛼2 + 𝛽2) } Now, from the equation (2.13), we have �̃�(𝑋, 𝑌, 𝑍,𝑊) = 𝐹(𝑌, 𝑍)𝐹(𝑋,𝑊) − 𝐹(𝑋, 𝑍)𝐹(𝑌,𝑊) Keywords: 𝑆(𝑋; 𝑆(𝑌; 𝑉)𝑊; 𝑌)𝑍

• Approximation of Functions by n-Euler Product Means of Fourier Series and its Conjugate by Md Hadish (2024) - We have �̃�𝑟(𝑔; 𝑥) − �̃�(𝑥) = 1 2𝜋 ∫ 𝜋 0 𝜓(𝑡)𝑐𝑜𝑠(𝑟+ 1 2 )𝑡 𝑠𝑖𝑛( 𝑡 2 ) 𝑑𝑡 and �̃�𝑟 𝐸𝑞𝐸𝑞...𝐸𝑞 (𝑔; 𝑥) − �̃�(𝑥) = 1 2𝜋(1+𝑞)𝑟 ∑𝑟 𝑗=0 Keywords: 𝑂(1

• A New Subclass of Univalent Functions Defined by Raducanu-Orhan Linear Differential Operator by Thirucheran M (2024) - Therefore, | 𝐹(𝜁) − 1 𝐹(𝜁) + 1 | = | 𝑅𝜌,µ 𝑚 𝑓(𝜁) − (1 + 𝛾𝑏)𝑅𝜌,µ 𝑛 𝑓(𝜁) − 𝑏𝜏|𝑅𝜌,µ 𝑚 𝑓(𝜁) − 𝑅𝜌,µ 𝑛 𝑓(𝜁)| 𝑅𝜌,µ 𝑚 𝑓(𝜁) − (1 + (𝛾 − 2)𝑏)𝑅𝜌,µ 𝑛 𝑓(𝜁) − 𝑏𝜏|𝑅𝜌,µ 𝑚 𝑓(𝜁) − 𝑅𝜌,µ 𝑛 𝑓(𝜁)| | < 1. ⟹ ∑ { |(1 + (𝑙 − 1)(𝑙𝜌µ + 𝜌 − µ))𝑚 − (1 + 𝛾𝑏)(1 + (𝑙 − 1)(𝑙𝜌µ + 𝜌 − µ))𝑛| +(1 + (𝑙 − 1)(𝑙𝜌µ + 𝜌 − µ))𝑚 + ((2 − 𝛾)𝑏 − 1)(1 + (𝑙 − 1)(𝑙𝜌µ + 𝜌 − µ))𝑛 +2𝑏𝜏|(1 + (𝑙 − 1)(𝑙𝜌µ + 𝜌 − µ))𝑚 − (1 + (𝑙 − 1)(𝑙𝜌µ + 𝜌 − µ))𝑛| } ∞ 𝑙=2 |𝑎𝑙| ≤ 2(1 − 𝛾)|𝑏|. In this study, the Raducanu-Orhan differential operator defines the new subclass of univalent functions. Keywords: 𝑅𝜌,µ; 𝑓(𝜁

• Pebbling on Crisscross Sequence of m Complete Graphs by J.Jenifer Steffi (2024) - = 4𝑡 − 2𝑛 − 7 and 𝑝(𝐶3) ≥ 4𝑡 + 𝑛 − 3 ≥ 2(2(𝑡 − 1)) − 𝑞2] − 2 = 2(2𝑛 − 2) − 𝑞 + 1 − (𝑛 − 2) + 𝑞2 − 2 = 4𝑛 − 4 − 𝑞1 − 𝑛 + 𝑞2 + 1 = 3𝑛 − 𝑞3 − 3 = 2𝑛 Keywords: 2𝑛 −; pebbles; 𝐶𝑚(𝐾𝑛; 𝐶𝑚1

• Some Properties of RICCI Solitons in LP-Kenmotsu Manifolds by Bidyabati Thangjam (2024) - No. 3s (2025) 699 https://internationalpubls.com Some Properties of RICCI Solitons in LP-Kenmotsu Manifolds Bidyabati Thangjam1, M. S. Devi*2 1,2 Article History: Received: 28-09-2024 Revised: 18-11-2024 Accepted: 30-11-2024 Abstract: Examining Ricci solitons in Lorentzian para-Kenmotsu manifolds is the goal of this paper. Furthermore, certain curvature properties of Lorentzian para-Kenmotsu manifolds admitting Ricci solitons are studied. Keywords: manifold 𝑀; 𝑋2)𝑋3

• Degree of Approximation of the Conjugate of Functions Belonging to LIP (α,r)-Class by (C,1)(E,q)(E,q) Means of Conjugate Fourier Series by Rupesh Kumar Mishra (2024) - Keywords: Lip(𝛼, 𝑟) − class, conjugate Fourier series, (𝐶, 1)(𝐸, 𝑞)(𝐸, 𝑞) means. [6] M.L.Mittal, U. Singh, V.N. Mishra, S. Priti, S.S. Mittal: Approximation of functions belonging to Lip(𝜉(𝑡), 𝑝)class by means of conjugate Fourier series using linear operators. Keywords: 1)(𝐸

• Fixed Points of Generalized - Geraghty Ciric -Rational Type Contraction in B- Metric Spaces by P.Harikrishna (2024) - Keywords: Fixed point; b-metric space; Geraghty –ciric type contraction. [7] Dukic.D., Kadelburg,Z., Radenovic,S,: Fixed points of Geraghty-type mappings in various generalized metric spaces. Keywords: 𝐵𝑛𝑘

• Applications of Disease Identification in the Advancement of Intuitionistic Fuzzy Sets with Interval by K Rajesh (2025) - − 𝑀2 𝐵𝐿(𝑤𝑖)| + |𝑀2 𝐴𝑈(𝑤𝑖) − 𝑀2 𝐵𝑈(𝑤𝑖)| 𝑛 𝑖=1 + |𝑁2 𝐴𝐿 (𝑤𝑖) − 𝑁2 𝐵𝐿 (𝑤𝑖)| +|𝑁2 𝐴𝑈 (𝑤𝑖) − 𝑁2 𝐵𝑈 (𝑤𝑖)| + |𝜋 2 𝐴𝐿 (𝑤𝑖) − 𝜋 2 𝐵𝐿(𝑤𝑖)| + |𝜋 2 𝐴𝑈(𝑤𝑖) Keywords: − 𝑀𝐴𝑈; − 𝑁2; − 𝑁𝐴𝑈; 𝐴. 𝐵; 𝑀𝐴𝐿; 𝑁2 𝐴𝑈; 𝑁𝐴𝐿

• Oscillatory and Property Conditions for Third Order Difference Equation with Negative Middle-Term by S. Kaleeswari, et al. (2024) - < 0 Recent research has explored the oscillation criteria of difference equations, primarily focused on [1]- [4] , [15]. Recent studies have investigated the oscillatory criteria and Property A conditions for difference equations, and their findings are available in the literature ([6],[8],[9],[11]). Keywords: 𝑦(𝜑

• Diophantine Kites: Rational Diagonals and Integer Area Constructions by M. Mahalakshmi (2025) - So the area is 1 4 𝑑 [√4𝑛2 − 𝑑2 + √4(𝑛 − 𝑟)2 − 𝑑2 ]. So the area is 1 4 𝑑 [√4𝑛2 − 𝑑2 + √4(𝑛 − 1)2 − 𝑑2 ]. Keywords: δ 𝐴𝐷𝐶; 𝐴𝐵𝐶; 𝐴𝐷𝐶

• Quasi- Laplacian energy of some novel classes of graphs by Manash Protim Borah (2025) - 26-10-2024 Revised:10-11-2024 Accepted:18-12-2024 Abstract: We formulate the relationship of quasi-Laplacian energy of some novel classes of graphs with their corresponding original graphs. The exact formulas of quasi-Laplacian energy of novel graphs are obtained in terms of the corresponding quasi-Laplacian energies, the first Zagreb indices, and the number of vertices and edges of the original graphs. Keywords: ∈ 𝑉(𝐻1; 𝐸𝑄(𝐻1

• New General Complex Integral Transform on Time Scales by Dipali Kaklij, Dinkar Patil (2025) - 𝒯𝑔 𝑐{𝑓∆(𝑡)}(𝑠) = 𝑝(𝑠) ∫ 𝑓∆(𝑡)𝑒⊖𝑖𝑞(𝑠) 𝜎 (𝑡, 0)∆𝑡 ∞ 0 Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 7s (2025) 702 https://internationalpubls.com = 𝑝(𝑠) ((𝑓(𝑡)𝑒⊖𝑖𝑞(𝑠)(𝑡, 0)) 𝑡=0 𝑡=∞ − ∫ 𝑓(𝑡)𝑒⊖𝑖𝑞(𝑠) ∆ (𝑡, 0) ∞ 0 ∆𝑡) ⸪ by rule for integration by parts. 3.6.1 Theorem 4 Convolution theorem Let 𝑓: 𝕋 → ℂ and 𝑔: ℂ → ℂ have new general complex integral transforms on time scales 𝕋 are ℱ𝑔 𝑐(𝑠) and 𝒢𝑔 𝑐(𝑠) respectively. Keywords: 𝑝(𝑠; 𝒯𝑔 𝑐{𝑓(𝑡)}(𝑠; 𝒯𝑔 𝑐{𝑦(𝑡

• Elliptic Curves over p-adic field Q_p and its p-adic point addition by P. Anuradha Kameswari (2025) - Now if �̃� = (�̃�, �̃�) ∈ 𝐸(𝑄𝑝) then �̃�2 = �̃�3 + 𝐴�̃� + 𝐵, i.e., for �̃� = (𝑥0 + 𝑝𝑥1 + 𝑝 2𝑥2+. . . , 𝑦0 + 𝑝𝑦1 + 𝑝 2𝑦2+. . . ) The 𝑦-coordinate of �̃�31 is given as 𝑦(�̃�31) = �̃�1(�̃�11 − �̃�31) − �̃�11 = (𝑚0 +𝑚1𝑝) (𝑥10 + 𝑥11𝑝 + ((𝑝 − 1) + (𝑝 − 1)𝑝)(𝑥30 + 𝑥31𝑝)) + Keywords: curve 𝐸(𝑄𝑝; ̃ �; − �; � ̃; � �; 𝐴 �; 𝐸(𝐹𝑝; 𝐸(𝑄𝑝; 𝒪 �; 𝒪 𝒪

• θ-separation Axioms on Fuzzy Hypersoft Topological Spaces by P. Revathi, (2025) - θ semi & θ pre)-separation axioms in fuzzy hypersoft topological spaces are introduced by developing fuzzy hypersoft θ (resp. [19] introduced θ open sets and studied its maps in fuzzy hypersoft topological spaces. Keywords: resp; φ̃,∧

• Topological Study on Revised Fuzzy Metric Spaces and Their Generalization by Thangathamizh R, (2025) - Conclusion This paper provides a deeper understanding of the structure of revised fuzzy metric spaces. 2. Preliminaries In this section, we first introduce some basic concepts and properties of revised fuzzy metric spaces. Keywords: 𝕎(𝕒

• Quasinormed Cones and Bicompletion Isometries by Manal Yagoub Ahmed Juma (2025) - (𝑋, 𝑒𝑝𝑗 ) is the symbol for the extended quasi-metric space created by (𝑋, 𝑝𝑗).In the extended metric space (𝑋, (𝑒𝑝𝑗 ) 𝑠 ) , �̃� ̃ is the sum of all Cauchy sequences. Consequently, (𝑋, 𝑒𝑝𝑗 ) is a stretched quasi-metric cone. Keywords: 𝑒𝑝𝑗

• On Sombor Energy of Graphs with self-loops by S. H. Pathan (2025) - − √2((𝑛 − 1)2 + 2𝜎)2 + 4𝜎(2(𝑛2 − 1) + 4(𝑛 − 𝜎)) 2 = √2 (𝑛+1)(𝜎−1)𝜎+(𝑛−𝜎−1)(𝑛(𝑛−1)+(𝑛+1)𝜎) 𝑛 + √2((𝑛 √2 2 = 1 √2 [2𝑛2 − 4𝑛 + 2 − 𝑛 − 1 + (𝑛 − 1)(2𝑛 − 2 + 𝑛 + 1) + (2𝑛2 + 2𝑛 − 𝑛 − 1) + 𝑛2 − 1] = 1 √2 (8𝑛2 − 8𝑛) = 4√2𝑛(𝑛 − 1) Keywords: 𝐴𝑆𝑂(𝐺𝑆

• Application of Beal’s Fuzzy Sets in Pattern Recognitions under Similarity Measures by K.Balasubramaniyan (2025) - For any Beal’s fuzzy set 𝐴1 = (𝐽𝐴1, 𝐾𝐴1) and 𝐴2 = (𝐽𝐴2, 𝐾𝐴2), the comparison technique is supposed as (𝑖)𝐼𝑓 𝑆(𝐴1) < 𝑆(𝐴2) 𝑡ℎ𝑒𝑛 𝐴1 < 𝐴2 (𝑖𝑖)𝐼𝑓 𝑆(𝐴1) > 𝑡ℎ𝑒𝑛 𝐴1 = 𝐴2 (𝑖𝑣) 𝛼 ̅(𝐴1) < 𝛼 ̅(𝐴2) 𝑡ℎ𝑒𝑛 𝐴1 < 𝐴2 (𝑣)𝐼𝑓 𝛼 ̅(𝐴1) > Keywords: − 𝐾𝐴; 𝐵𝑚 𝑛; 𝐽𝐴 𝑚; 𝐽𝐴1; 𝐽𝐴2; 𝐾𝐴 𝑛; 𝐾𝐴1

• Investigating a Novel Stability Results of Generalized Alternate Cubic Functional Equations: Classical Method for Banach Spaces and Direct -Fixed Point Approaches for Fuzzy Normed Spaces by P. Agilan (2025) - [ℱ(𝑣 + 𝑤) − ℱ(𝑣 − 𝑤)] −(ℜ2𝑎 − 1)[(ℜ𝑎 ∓ℜ 𝑏)ℱ(𝑣) ∓ (ℜ𝑎+𝑏 ± 1)ℱ(𝑤)]‖ = 1 ℜ𝑎𝑛 ‖ℱ(ℜ𝑎𝑣 + 𝑤) ±ℜ 𝑏 ℱ(𝑣 − ℜ 𝑎𝑤) − ( ℜ𝑎(1±ℜ𝑎+𝑏) 2 ) No. 9s (2025) 485 https://internationalpubls.com 𝒩 (±ℜ 𝑏𝒞(𝑣 − ℜ 𝑎𝑤) ± 1 ℜ3𝑎𝑘 ℜ 𝑏 ℱ(𝑣 −ℜ 𝑎𝑤), 𝑟 6 ), 𝒩 (−( ℜ𝑎(1±ℜ𝑎+𝑏) 2 ) Keywords: ℱ(ℜ𝑎𝑣; ℱ(𝑣; ∈ 𝑋

• Controllability and Observability of Matrix Sylvester Adjoint Dynamic Impulsive Systems on Time Scales by A. Sreenivasulu (2025) - Additionally, the research incorporates the Gramian matrix to establish results for impulsive dynamic systems on time scales, providing a comprehensive criterion for evaluating system properties. The findings advance the mathematical understanding of Sylvester matrix systems and offer practical insights into the design and control of complex impulsive systems across varied applications. Keywords: −1𝜓𝐺𝑘 𝑇; 𝐴1𝐴1 𝑇; 𝐼𝑛⊗𝑅𝑗; 𝑇𝜓𝐺𝑘 𝑇; 𝑒𝐺1 𝑇; 𝜓𝐺𝑗 𝑇

• SP Mean E-Cordial Labeling by M. Aishwarya (2025) - In this research, we define a new labeling based on edge is called SP mean E-cordial labeling and SP Mean E-cordial graph. Hence Wheel graph 𝑊𝑛 admits SP Mean E-cordial graph labeling. Keywords: 𝑅(𝐺

• Optimal Replacement Policies for a Multistate Degenerative System using Partial Sum Process by I. Ashwini (2025) - Upon system failure, two repair scenarios arise: negligible repair time with probability p, or non-negligible repair time with probability 1 - p. Cycle are defined by the time between consecutive system replacements, spanning from initial installation to first replacement, and subsequent replacement intervals. Keywords: 𝐹𝑛 ′(𝑇; 𝐺𝑛(𝑇; 𝑛=1 𝐹𝑛(𝑇

• Various Types of Translation in Bipolar Valued Multi I-Fuzzy Normal Subrings of a Ring by K.Vairamuthu, S. Loganathan (2025) - 𝐼 − 𝑓𝑢𝑧𝑧𝑦 𝑠𝑢𝑏𝑠𝑒𝑡 (𝐵𝑉𝑀𝐼𝐹𝑆) of 𝕨, where 𝔗𝑖 +: 𝕨 → 𝔻[0,1] 𝑖𝑠 𝑎 𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒 𝑚𝑒𝑚𝑏𝑒𝑟𝑠ℎ𝑖𝑝 map and 𝔗𝑖 −: 𝕨 → 𝔻[−1,0] is a negative membership map. [11] 𝐴 𝐵𝑉𝑀𝐼𝐹𝑆 Ħ =  Ħ1 +, Ħ2 +,…,Ħ𝑛 +, Ħ1 −, Ħ2 −,…,Ħ𝑛 − 𝑜𝑓 𝑎 𝑟𝑖𝑛𝑔 Keywords: 𝐵𝑉𝑀𝐼𝐹𝑁𝑆𝑅; 𝐼𝑓 𝔓1; 𝔓2 ∩

• August Wilson and Four B’s Influences by Sudarsan Sahoo (2022) - 25-06-2022 Abstract: August Wilson emerged in 1980s as a major figure in American theatre. August Wilson doesn’t just talk about his four B’s, he teaches them, not merely as discrete influences, but as constituent elements of an African American cosmology. Keywords: american; august; baraka; bearden; blues; plays; wilson

• Dynamical Aspects of Bianchi Type VI0 Cosmological Model with Cosmic String and Dark Energy in f(T) Gravity by Nayna M. Tade (2024) - [67] Nojiri, S. S. S., Odintsov, S. D. & Sami, M., 74, 046004 (2006). 2 K T T T       = − − − (9) So from (5), we have obtained the torsion scalar as . . . . . . Keywords: phys

• An Analysis of Mysticism and Interfaith Conversation in the Rishi-Sufi Syncretism Legacy of Kashmir by Mumin Sajad Kar (2025) - Rishi-Sufi syncretism is full of examples in the history of Kashmir, coming together of spiritual traditions, which have allowed for coexistence and respect. Mystical experience and its role in spiritual traditions. Keywords: ded; interfaith; kashmir; mysticism; rishi; sufi; teachings; traditions

• Astigmatism in Infants: A Systematic Review of Neurotypical and Developmental Abnormalities by Aditya Goyal (2025) - Keywords: infant astigmatism, developmental abnormalities, refractive errors, visual development, early intervention, pediatric ophthalmology, neurodevelopmental disorders, systematic review, meta-analysis Introduction Astigmatism in infancy represents a significant challenge in pediatric ophthalmology, with far- reaching implications for visual development and overall cognitive functioning.1 the relationship between astigmatism and developmental abnormalities has emerged as a critical area of mailto:adityagoyal@hotmail.com Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 Conclusions: This review establishes clear distinctions in astigmatism patterns between neurotypical infants and those with developmental abnormalities, emphasizing the need for differentiated screening protocols. Keywords: abnormalities; astigmatism; developmental; infants

• Optimality and Duality for Multiobjective Semiinfinite Programming Problems Involving Generalized (C,α,η,ρ,d)-Invexity by Pooja Gupta (2025) - The vector-valued function f : X → Rp is called (C,α, η, ρ, d)-pseudo-invex at x0 ∈ X if, for each fi : X → R, there exists a vectorial function ηi : X ×X → R such that for every x ∈ X and i ∈ p, the following condition holds: fi(x)(≦) < fi(x0) ⇒ C(x,x0)(∇fi(x0))ηi(x, x0) + ρi di(x, x0) αi(x, x0) < 0. The vector-valued function f : X → Rp is called weak strictly (C,α, η, ρ, d)-pseudo- invex at x0 ∈ X if, for each fi : X → R there exists a vectorial function ηi : X ×X → R such that for every x ∈ X and i ∈ p, the following condition holds: fi(x) ≤ fi(x0) ⇒ C(x,x0)(∇fi(x0))ηi(x, x0) + ρi di(x, x0) αi(x, x0) < 0. Keywords: invex

• Closely Connected Domination Number in Corona Product of Graphs by Gurusamy P, Angel Joy R (2025) - Every vertex in 𝑉ሺ𝐺ሻ is CC-isolated vertex, By the Theorem 1 we have all the CC-isolated vertices must belong to every CC-dominating set. Let 𝑣𝑖 be the vertices of the 𝑖th copy of 𝐾1 is joined to 𝑢𝑖, then |𝑉ሺ𝐺ሻ| = 2𝑚. Let 𝐷 = {𝑣1, 𝑣2, … , 𝑣𝑚} be the set of all pendent vertices of 𝐺 and is also CC-isolated vertices. Keywords: 𝑉ሺ𝐺ሻ

• On Class of Analytic Function Defined by Generalized Ruscheweyh Derivative by Rashmi B T., Dileep L. (2025) - (𝐷𝜆 𝑚𝑓(𝑧))′ ) ≥ 𝑅𝑒 𝑝(𝑧) {𝑎 + 2(1 − 𝑎)(1 − 𝐵2𝑟2) 2 + (𝐴 − 𝐵)𝑘𝑟 − 2𝐴𝐵𝑟2 − 2𝑎𝑟{(𝐴 − 𝐵)𝑘 − 4𝐵(𝐴 − 𝐵)𝑟 + 𝐵2(𝐴 − 𝐵)𝑘𝑟2} (2 + (𝐴 − 𝐵)𝑘𝑟 − 2𝐴𝐵𝑟2)𝜉 } = 𝑅𝑒 𝑝(𝑧) { 𝑎1𝑟4 + 𝑎2𝑟3 + 𝑎3𝑟2 + 𝑎4𝑟 + 4(2𝑎 − 1) (2 + (𝐴 − 𝐵)𝑘𝑟 − 2𝐴𝐵𝑟2)𝜉 } > 0, provided 𝑇(𝑟) = 𝑎1𝑟4 + 𝑎2𝑟3 + 𝑎3𝑟2 + 𝑎4𝑟 + 4(2𝑎 − 1) > 0, where 𝑎1 = 4𝑎2𝐴2𝐵2 − 4(𝑎 − 1)2𝐵4 𝑎2 = 2a(2a − 1)(B − A)𝐵2𝑘 𝑎3 = 8𝑎2(𝑎 − 2) + 8𝑎(1 − 𝑎)𝐴𝐵 − 𝑎2(𝐴 − 𝐵)2𝑘2 𝑎4 = 2𝑎(2𝑎 − 3)(𝐴 − 𝐵)𝑘 and 𝜉 = 2(2𝑎 − 1) − 𝑎(𝐴 − 𝐵)𝑘𝑟 + 2(𝐵2 − 𝑎(𝐴 + 𝐵)𝐵)𝑟2. [1, −1, 𝛽, 𝑏 + 1], z 𝜖 𝒰, where β (0 ≤ β < 1) is one of the roots of (3.3) 𝜂1𝜂2𝑏2(𝑚 + 2)2(1 − 𝛼)2 − 𝑏(𝑚 + 2)(1 − 𝛼)[𝜂1(𝐵 + 1) + 𝜂2(𝐵 − 1)] + (𝐵2 − 1) Keywords: 𝑃𝑘[𝐴

• A New Stochastic Partial Differential Model for Image Restoration by Radhia Halilou (2025) - ∫ 〈Wk(s),Ψ(𝑠)〉ds − T 0 T 0 1 2 |𝓋(0)|2 − ∫ 〈𝑢(𝑠) − 𝑊(𝑠),𝛹(𝑠)〉𝑑𝑠 𝑇 0 = ∫ 〈𝑢(𝑠),𝛹(𝑠)〉𝑑𝑠 𝑇 0 (58) Early research in this field focused on employing different SDEs using various diffusion processes for image noise reduction. Keywords: 𝐿2(𝒱

• From Doctrine of Sweat of the Brow to Modicum of Creativity- Concept of Originality in Indian Scenario by Aishwarya Aneja (2025) - The doctrine provided copyright protection to a work created through mechanical and automatic process even if lacking minimal creativity. Further the court held that “originality is sine qua non of copyright” and “no author may copyright his idea or the facts he narrates to qualify for copyright protection, a work must be original to the author. Keywords: brow; copyright; doctrine; originality; sweat

• Aggregate Operators of Neutrosophic Vague Hypersoft Set by Sharviya Sona S, Elvina Mary L (2025) - The characteristics of NVHSS ꟻ(Ș1) and NVHSS ꟻ(Ș2). The compliment of NVHSS ꟻ(Ș1) = ꟻ( Convertible, 7 Seat, Top end) = {X1, X2} is given as 𝑇𝐶(ꟻ(Ș1) ) Keywords: nvhss; seat; ꟻ(ș1

• Common Neutrosophic Metric Space Fixed Point Theorems with Properties by M.Sornavalli, R. Selvarani, N. Mehala (2025) - Example: 2.5 [20] Let (Ξ, d) be a Q- metric space, for all 𝜛, 𝜔, 𝜏, 휁 ∈Ξ, and every 휁 > 0, consider 𝒬, ℋ, 𝒪 to be fuzzy sets on Ξ3 x (0, ∞) defined by 𝒬(𝜛, 𝜔, 𝜏, 휁) = 𝜁 𝜁+𝐺(𝜛,𝜔,𝜏,𝜁) and ℋ(𝜛, 𝜛, 𝜔, 휁) = 𝐺(𝜛,𝜔,𝜏,𝜁) 𝜁+𝐺(𝜛,𝜔,𝜏,𝜁) and 𝒪(𝜛, 𝜛, 𝜔, 휁) = 𝐺(𝜛,𝜔,𝜏,𝜁) 𝜁+𝐺(𝜛,𝜔,𝜏,𝜁) denote a∗ b = ab anda ◊ b = min { a+b , 1} . = 1 for all x, y, z ∈ X, t > 0, In this case, the pair (Q, H) is called an intuitionistic generalized fuzzy metric on X. Definition: 2.4 [20] A 6-tuple ( Ξ, 𝒬, ℋ, 𝒪 *, ) is Said to be an Neutrosophic Metric space if Ξ is an arbitrary set, * is a Continuous t-norm, is a Continuous t-conorm, and 𝒬, ℋ, 𝒪 are Neutrosophic set on Ξ2 x (0, ∞) satisfying the following conditions: for all 𝜛, 𝜔, 𝜎 ∈Ξ, 𝜆, 𝜏> 0, (i) 𝒬(𝜛, 𝜔, 𝜏, 휁) + ℋ (𝜛, 𝜔, 𝜏, 휁) + 𝒪 (𝜛, 𝜔, 𝜏, 휁) ≤ 3; (ii) 𝒬(𝜛, 𝜛, 𝜔, 휁) > 0; for 𝜛 ≠ 𝜔; (iii) 𝒬(𝜛, 𝜛𝜔, 휁) ≤ 𝒬(𝜛, 𝜔, 𝜏, 휁), for 𝜔 ≠ 휁; (iv) 𝒬(𝜛, 𝜔, 𝜏, 휁) = 1 if and only if 𝜛 = 𝜔 = 𝜏; (v) 𝒬(𝜛, 𝜔, 𝜏, 휁) * 𝒬(p (𝜛, 𝜔, 𝜏), 휁) where p is a permutation function; (vi) 𝒬(𝜛, a, a, 휁) ∗ 𝒬(𝑎, 𝜔, 𝜏, 휂) ≤ 𝒬(𝜛, 𝜔, 𝜏, 휁 + 휂); (vii) 𝒬(𝜛, 𝜔, 𝜏, .): (0, ∞) → [0,1] is continuous; (viii) 𝒬 is non-decreasing of ℜ+, lim 𝜁→∞ 𝒬(𝜛, 𝜔, 𝜏, 휁) = 1 and lim 𝜁→0 𝒬(𝜛, 𝜔, 𝜏, 휁) = 0 for all 𝜛, 𝜔, 𝜏 ∈Ξ, 휁> 0 (ix) ℋ(𝜛, 𝜛, 𝜔, 휁) < 1; for 𝜛 ≠ 𝜔; (x) ℋ (𝜛, 𝜛𝜔, 휁) ≥ ℋ (𝜛, 𝜔, 𝜏, 휁), for 𝜔 ≠ 휁; (xi) ℋ(𝜛, 𝜔, 𝜏, 휁) = 0 Keywords: ℌ𝜔0; 휁 ℋ; 휁 𝒬

• STABILITY OF A AFFINE TYPE AQ FUNCTIONAL EQUATION IN VARIOUS BANACH SPACES by S. PINELAS (2025) - Assume a set G = {F/F :W1 →W2, F (0) = 0}, (2.48) and introduce the generalized metric on the above set G as d(F ,F1) = inf{K ∈ (0, ∞) : ‖F (w1)−F1(w1)‖ ≤ K Ψ(w1, w1, w1), w1 ∈ W1}. = 1 τv F (τv w1 ), f or all w1 ∈ W1. (2.50) Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s(2025) https://internationalpubls.com 2195 Now F , F1 ∈ G and w1 ∈ W1, we see d(F ,F1) Keywords: + w2; w1 →w2; ψ=1

• Method of a Priori Estimate in the Case of Fractional Order Differential Equations with Integral Conditions by Djebaili Manel (2025) - Dt δ−1 ‖ℑx ∂u ∂t ‖ 2 𝕃2(0,1) +∫ ‖ ∂u ∂t ‖ 2 𝕃2(0,1) dt τ 0 +∫ u2dx 1 0 ≤ ɳ 1 ( ∫ φ2(x) 1 0 dx + ∫ ∫ u2 τ O 1 0 dtdx + ∫ ∫ (ℑxf) 2 1 0 τ 0 dxdt + ‖ℑxψ‖ 2 𝕃2(0,1) +∫ ∫ (ℑx ∂u ∂t ) 21 0 τ 0 dxdt ) , (39) where: ɳ1 = max( α+γ 2 ,a1T 2+ α 2 , 1 2ε , ε 2 , T1−δ Γ(1−δ) ) min( 1 2 ,β , α+γ 2 ) . = ∫ ∫ Keywords: ℑx ∂u; ∫ ∫; 𝕃2(0,1; 𝕃2(ω

• Caputo Derivative Formulas of Hurwitz-Lerch Zeta Function and Applications by Sandeep Kumar (2025) - Further, we compute the solution of fractional differential equations involving Hurwitz-Lerch Zeta function. In a variety of fields, fractional differential equations and their applications have played a significant role. Keywords: 𝑝)𝑠

• On Soft Strongly Ƅ* - Closed Via Soft Ideal by Abdelaziz E. Radwan (2024) - [1], instigated the concept of soft set as a new mathematical tool to deal with uncertainties problems in different fields of science. Definition 1.5: [13] Let 𝔚 be a collection of soft sets over 𝒵, then 𝔚 is said to be 𝒮TS on 𝒵 if (1) ∅̃ and 𝒵 belong to 𝔚. (2) The union of any subcollection of soft sets of 𝔚 belongs to 𝔚. (3) The intersection of any two soft sets in 𝔚 belongs to 𝔚. Keywords: 𝒮ts

• Solving Nonlinear Diffusion Equation of Porous Medium with linear pressure profile by Homotopy Perturbation Transform Method and He’s polynomials. by Ramaa Sandu, B.B. Waphare (2025) - [3] Y. Khan, Wu Q, Homotopy perturbation transform method for non-linear equations using He’s polynomials, Journal of Computers and Mathematics with application, Elsevier, 2010. [6] Gupta V.G., Gupta S., Homotopy perturbation Transform method for solving initial boundary value problem of variable co-efficient; International Journal of non-linear science, Vol.12(2011) Keywords: 𝐿−1; 𝑇 𝜕2𝑇; 𝑇0 𝜕2𝑇0; 𝑠 𝐿

• Decomposition of (Ψαhb, Δ)-Continuity by R. Ramesh (2025) - Ψσ-HbO(Z), Ψπ-HbO(Z), Ψβ-HbO(Z), Ψb-HbO(Z), ϑO(Z)). Any b-HbO(Z) is Ψb-HbO(Z). Keywords: hbo(z

• CONNECTED EDGE AND ENTIRE DOMINATION OF INVOLUTORY ADDITION CAYLEY GRAPH by E. Lavanya (2024) - In this paper, Connected edge domination number, Entire domination number of the Involutory addition cayley graphs 𝐺+(𝑍𝑛 , 𝐼𝑣) were discussed. Keywords: Involutory addition cayley graphs, Connected edge dominating sets, Entire dominating sets, Connected edge Domination number, Entire domination number. Keywords: graph 𝐺+(𝑍𝑛; 𝐺+(𝑍𝑛

• Bicomplex Sequence Spaces: Duality via Idempotent Decomposition by Mamta Amol Wagh (2024) - δ-duals of certain classes of bicomplex sequences, and to explore their relationships with the duals of corresponding idempotent subclasses, supported by illustrative examples and counterexamples 3. Methods Idempotent technique has been used to investigate the duals of bicomplex sequence spaces and their subclasses. These subclasses are the subspaces of our space ℵ in the sense that they are formed by idempotent sequences of ℵ. Keywords: dual

• On GG-Closed Sets in Grill Topological Spaces by R. Anbarasan, M. Anitha (2024) - In [1, 11, 16, 27], initiated different types of grill sets such as 𝒢-semiopen sets, 𝒢-- open sets and studied the decomposition of continuity via grill. Nasef[18], introduced s operator in grill topological space via semiopen sets and analyzed the essential topological characterizations. Keywords: s(a

• SOME PROPERTIES OF DIFFERENTIAL EQUATIONS OF HIGHER-ORDER q-FROBENIUS-TANGENT POLYNOMIALS by Idrees Ahmad Khan (2025) - (2.17) Applying a relation between Dυ q,ψFTυ,q(ψ; η) and FTυ,q(ψ; η) in the left-hand side of (2.17), we obtain υ−1∑ ν=0 ( υ − 1 ν ) q qυ−ν−1 FTν,q(1− η)FTυ−ν−1,q(ψ; η) = υ−1∑ ν=0 qυ−ν−1 FTν,q(1− η) d dψ FTυ(ψ; η) + 1 1− η FTυ(ψ; η) + 1 1− η FT0(ψ; Keywords: q(ψ

• A Note on Radicals of Semiring of Matrices by Manohar B. Bhagirath (2024) - Then R ∈ R implies R (n)∈ R. Theorem 2.19. Then R ∈ R implies R (n) ∈ R. Proof. Keywords: radical; semiring

• The Cauchy Problems for Fractional Q-Difference Equations with Integral Conditions in Banach Spaces by Faouzi Hireche (2025) - such that ∀𝑡 ∈ 𝐽, ∀𝑢, 𝑣 ∈ 𝑋, |𝑓(𝑡, 𝑢) − 𝑓(𝑡, 𝑣)| ≤ 𝑘|𝑢 We have |𝑓(𝑡, 𝑢) − 𝑓(𝑡, 𝑣)| ≤ | 𝑢 − 𝑣 (1 + cos(𝑢))(1 + cos(𝑣)) Keywords: γ𝑞(𝛼

• Shifted Interpolation Methods for Efficient Resolution of Algebraic and Transcendental Equations by Farah Deeba, Najmuddin Ahmad, Fauzia Shaheen (2025) - Interpolation Methods There are different types of interpolation methods. So as a result, we have found that the proposed interpolation technique Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 3659 https://internationalpubls.com NIF shows better results in comparison to previously defined interpolation techniques. Keywords: interpolation

• Eight Error Correction for (57,29,17) Quadratic Residue Code Over Binary Field by P. Shakila Banu (2024) - Keywords: Algebraic Decoding, Quadratic residue code, Index set, Syndromes. [1] Chen X, I S Reed, T K Truong, Decoding the (73, 37, 13) quadratic residue code, IEEE Proceedings - Computers and Digital Techniques, 141(5), September 1994. Keywords: 𝑆(𝐼1; 𝑆1 𝑆11; 𝑆16 𝑺𝟏𝟓; 𝑆4 𝑺𝟏𝟓; 𝑆4 𝑺𝟑; 𝑺𝟏𝟓; 𝑺𝟏𝟓 𝑺𝟐; 𝑺𝟐 𝑆1; 𝑺𝟑 𝑺𝟐; 𝑺𝟓 𝑺𝟑

• An Approach to Goldie Extending Modules on the Class of Cyclic Submodules by Abdallah Shihadeh (2024) - We look into 𝐺𝑝-extending modules and locate this inference between the other extending properties. No. 3s (2024) 10 https://internationalpubls.com Section 3, is devoted to the characterizations of 𝐺𝑝-extending modules. Keywords: submodule; 𝐺𝑝-extending

• Certain Properties on Univalent Functions Related to New Linear and Integral Operators by Bassim Kareem Mihsin (2024) - = 𝒶 + 𝒶𝔫 𝓏𝔫 + 𝒶𝔫+1𝓏𝔫+1 + ⋯ (𝒶 ∈ ₵, (𝔫 ∈ ℕ = {1,2, … }; 𝓏 ∈ Ʋ), (1,1) where 𝑓(𝓏) be analytic to open unit disk Ʋ = {𝓏 ∈ ₵ ∶ |𝓏| < 1 } . Where 𝓏 ∈ Ʋ, 𝕣 ∈ ₵ ∖ 𝑧0 − = {0, −1, −2, … }, 𝕥 ∈ ₵, 𝑅𝑒(𝕥) > 1, 𝓏 ∈ 𝜕Ʋ, 𝕤 ∈ 𝑁 ∖ {1}. Keywords: 𝑓(𝓏

• Subclass of Analytic Functions Associated with Differential Operator by Katterapalle Sridevi (2024) - − 𝑡|{(2 − ϱ)|𝑧| − ∑ 𝜙𝑛 ∞ 𝑛=2 (ς, ℏ, ℘, 𝑚)|𝑛 + 𝑢𝑛(1 − ϱ)|𝑎𝑛|𝑧𝑛| − ∑ 𝜙𝑛 ∞ 𝑛=2 (ς, ℏ, ℘, 𝑚)|𝑛 − 𝑢𝑛|𝑎𝑛|𝑧𝑛|}. − 𝑡|{2(1 − ϱ)|𝑧| − ∑ 𝜙𝑛 ∞ 𝑛=2 (ς, ℏ, ℘, 𝑚)[|𝑛 + 𝑢𝑛(1 − ϱ)| + |𝑛 − 𝑢𝑛(1 + ϱ)| + 2|𝑛 − 𝑢𝑛| ]𝑎𝑛|𝑧𝑛|} ≥ 2(1 Keywords: 𝑆𝑠 𝑚(ς; 𝑚(ς

Epilogue

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Created: 2025-12-29