hij: A Pathfinder

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

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:

Model; Analysis; Learning; Technology; System; Information; Performance; Innovation; Management; Algorithm; Development; Accuracy; Energy; Network; Results; Time; Method; Value; Process; Table; Use; Classification; Students; Image; Level; Control; Water; Design; Market; Quality; Impact; Production; Industry; Internet; Covid-19; Flow; Soil; Project; Sustainability; Machine; Simulation; Structure; Distribution; Materials; Index; Temperature; Size; Velocity; Problem; Load; Edge; River; Samples; Abchasicus; 𝐴𝑉𝐸

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.

• High-Tech Models for Simulating the Wounding Effects of Projectiles of Small Calibres: Benefits for Security Management by Juříček, Ludvík; Pagáčová, Katarí­na; Mazák, David; Vojtěchovská, Olga (2025) - The factors contributing to the twice as much destruction of bone tissue caused by micro-calibre projectiles, compared to small-calibre pistol ammunition, extend beyond their impact kinetic energy. The combination of mass fragmentation and motion instability in micro-calibre projectiles, along with their high kinetic energy, underscores their devastating effects on bone tissue. Keywords: block; bone; calibre; cavity; damage; effects; energy; femur; gelatine; gunshot; impact; journal; micro; model; projectile; study; tissues; velocity
• Developing a Comprehensive Framework for Crowd Funding Factors by Using the Hexagon Technique by Haji Gholam Saryazdi, Ali; Rajabzadeh Ghatari, Ali; Mashayekhi, Alinaghi; Hasanzadeh, Alireza (2021) - Crowd funding projects can be different in both goal and scope. Xu et al. (2016) used the asymmetric analytic method to study the satisfaction of sponsors in crowd funding and its effect on the success of crowd funding projects during the implementation phase. Keywords: business; campaign; capital; crowd; crowd funding; doi:10.1016; et al; factors; funding; hexagons; investors; journal; literature; method; model; projects; research; success
• Machine Learning Algorithms in Predicting Prices in Volatile Cryptocurrency Markets by Jiménez-Carrión, Miguel; Flores-Fernandez, Gustavo A. (2025) - Many methods of cryptocurrency price prediction, such as forecasting a one-step approach, can be performed using time series analysis, neural networks, and machine learning algorithms. Since price prediction is a time-series task, this study proposes a hybrid deep-learning model to provide price cryptocurrency predictions. Keywords: algorithms; analysis; bitcoin; cryptocurrency; cryptocurrency price; data; learning; lstm; mape; market; model; performance; prediction; price; results; rmse; study; time
• A Review on Federated Learning on Sensor-Based Human Activity Recognition by Wu, Ting Xian; Han, Pang Ying; Yin, Ooi Shih; You, Lim Zheng; San, Hiew Fu (2025) - Data models: CNN and Artificial Neural Network (ANN). [18] FedDL: Federated Learning via Dynamic Layer Sharing for Human Activity Recognition FedDL LiDAR, UWB, HARBOX-IMU, IMU and Depth Uses a dynamic layer-sharing approach to learn the similarity among users’ model weights, then merges the models accordingly data model: CNN. Keywords: accuracy; activity; activity data; activity recognition; aggregation; applications; communication; data; data model; devices; federated; global; har; journal; learning; machine; model; performance; privacy; recognition; sensor; server; training; updates; user
• Evaluation and Analysis of Regional Agricultural Eco-Efficiency and Agricultural Economy by the DEA Model by Min, Chen (2025) - With the ongoing promotion of green and sustainable agricultural growth, enhancing agricultural ecological efficiency and fostering economic development in agriculture have become major concerns Agricultural ecological efficiency is a comprehensive measure of both environmental and economic performance [4], aiming to maximize expected output with minimal input while reducing environmental pollution as much as possible. Keywords: belt; development; efficiency; middle; model; output; pollution; reaches; river; yangtze
• Application of Deep Learning for Stock Prediction Within the Framework of Portfolio Optimization in Quantitative Trading by Qin, Xiaoyu (2025) - Comparative analysis for the Stock Prediction Results In this work, stock market trend prediction models were used to advance a set of investment portfolios designated as P_i (where i=1, 2,…,5). Xiao & Tang [2] suggested a quantitative trading system on the basis of LSTM using Python for model prediction and learning. Keywords: algorithm; data; index; learning; lstm; model; msoa; optimization; performance; portfolio; prediction; rnn; stock; 𝑇𝑒𝑚𝑝; 𝑋𝑚𝑖𝑛
• A Self-Adaptive Weights for K-Means Classification Algorithm by Chenghu, Cui; Thammano, Arit (2025) - In the following sections, we will outline the parameter setting of the new algorithm and evaluate model classification performance. The bar chart showing the model accuracy in comparison with other classification models (4-Dimensional Iris dataset) Keywords: accuracy; algorithm; classification; clustering; data; dataset; figure; means; model; outlier; performance; points; tdabc; weight
• UAV-Based Structural Health Monitoring Using a Two-Stage CNN Model with Lighthouse Localization in GNSS-Denied Environments by Chu, Timothy Scott C.; Sorilla, Joses; Chua, Alvin Y. (2025) - Two experiments were conducted: evaluating UAV localization accuracy and assessing the system’s ability to detect cracks and provide corresponding pose data. [24] study, integrating deep learning into UAV visual localization remains a challenge due to concerns on real-time processing and memory constraints. Keywords: accuracy; crack; detection; environments; figure; lighthouse; localization; model; negative; position; positioning; prediction; system; uav; value
• Leveraging Image Analysis and Deep Convolutional Neural Networks for Cutting-Edge Malware Detection and Mitigation by Otoom, Mohammad Mahmood; Etoom, Ahmad Mahmoud (2025) - The EDA process, which is very important, helped to determine the nature of the dataset and any concerns that might arise before model training. Moreover, feature engineering allows us to develop or modify new features; this step also positively affects the increase in model accuracy. Keywords: accuracy; analysis; android; classification; cnn; dataset; deep; detection; feature; figure; image; journal; layers; learning; malware; malware detection; model; network; overfitting; performance; processing; training
• Efficient Object Detection with an Optimized YOLOv8x Model by Fahad, Nafiz; Hossen, Md. Jakir; Sayeed, Md Shohel (2025) - Evaluating object detection models: Methods and metrics. Building on these advances, Wang et al. introduced a groundbreaking approach that eliminates the need for Non-Maximum Suppression (NMS) by employing a consistent dual assignment strategy during model training—streamlining and improving detection performance. Keywords: accuracy; dataset; detection; figure; image; innovation; journal; map@0.5; metrics; model; object; object detection; performance; pixel; precision; recall; september; test; training; vol; yolov8x
• Fine-Tuned Attribute Weighted Naïve Bayes with Modified Partial Instances Reduction for Gaming Disorder Classification by Latubessy, Anastasya; Wardoyo, Retantyo; Musdholifah, Aina; Kusrohmaniah, Sri (2025) - Fine tuning attribute weighted naïve Bayes model for detecting anxiety disorder levels of online gamers. The original PIR technique will replace attribute values that are considered outliers with missing values. Keywords: accuracy; attributes; bayes; class; data; dataset; disorder; ftawnb; gaming; health; instances; journal; model; pir; research; study; values
• Hybrid Time Series Methods and Machine Learning for Seismic Analysis and Volcano Eruption Predict by Mandita, Fridy; Ashari, Ahmad; Wibowo, Moh. Edi; Suryanto, Wiwit (2025) - In this study, seismic signal data were specifically utilized and subjected to ML algorithm processing. The area of study is divided into two stages: detecting and categorizing seismic signal data for volcanic eruptions. Keywords: accuracy; autocorrelation; data; events; hybrid; learning; lstm; lta; matching; method; model; series; signal; sta; template; time; vanilla; volcanic
• Tourist Destination Recommendations Using Deep Learning by Ritthipakdee, Amarita; Leenawong, Chartchai (2025) - Cultural tourism attraction recommendation model based on optimized weighted association rule algorithm. [1] concluded that deep learning models, particularly Long Short-Term Memory (LSTM) networks, are highly effective for sentiment analysis of tourist reviews, achieving an accuracy of over 89%. Keywords: accuracy; algorithm; attractions; classification; data; error; innovation; journal; learning; model; planning; recommendations; results; route; study; time; tourism; tourists; travel; user
• Digital Transformation Maturity Measurement (DTMM) for the Oil and Gas Industry by Kongdachudomkul, Chatchai; Puriwat, Wilert; Hoonsopon, Danupol (2025) - Thematic coding of the qualitative interview data identified key dimensions influencing digital transformation maturity, which were then cross-validated against the results of the quantitative survey involving 240 participants. These factors collectively drive organizational digital transformation maturity. Keywords: analysis; customer; data; digital; dimensions; dtmm; et al; framework; gas; industry; innovation; journal; maturity; model; oil; performance; success; technology; transformation; value;  
• PRO-BiGRU: Performance Evaluation Index System for Hardware and Software Resource Sharing Based on Cloud Computing by Wang, Nan (2025) - Overall Program Design Based on the analysis of performance evaluation indexes of computer hardware and software resource sharing under cloud computing technology, this section designs the performance evaluation method, which includes the steps of data collection, data analysis, performance evaluation model, and performance optimization suggestions, as shown in Figure 6. PRO's balance of efficiency and accuracy, combined with BiGRU's sequence processing power, makes it an optimal choice for optimizing cloud resource performance evaluation models. Keywords: accuracy; algorithm; bigru; cloud; cloud computing; computing; data; evaluation; model; optimization; performance; performance evaluation; resource; sharing; system; time
• IASB Framework: Construction of Data Asset Accounting System Based on PO-BP Model by Guo, Haixia (2025) - To solve the construction of a data asset accounting system, combined with data asset accounting data, this paper studies the construction of a data asset accounting system and case analysis based on an improved machine learning algorithm. The primary contributions of this paper are (1) the identification of the IASB framework concept, the formulation of the research idea, and the development of the data asset accounting system; (2) the integration of the political optimization algorithm and BP neural network to create a data asset accounting value assessment model based on the PO-BP algorithm; and (3) the validation of the proposed method through the analysis of data asset accounting data. Keywords: accounting; algorithm; asset; asset accounting; data; data asset; journal; layer; model; network; research; value
• Exact Run Length Sensitivity of DEWMA Control Chart Based on Quadratic Trend Autoregressive Model by Karoon, Kotchaporn; Areepong, Yupaporn (2025) - Moreover, real-life data is used in this study to demonstrate the capability of DEWMA control charts. ARL1 values of the exact formula and NIE technique for Quadratic trend AR(2) model on DEWMA control chart with known parameters; 𝝀𝟏 = 𝟎. 𝟎𝟓, 𝝍 = 𝜼 = 𝟎. 𝟏, 𝝑 = −𝟎. 𝟖 at 𝑨𝑹𝑳𝟎 = 𝟓𝟎𝟎, and [ e, f ] = [ 0.001, f ] 𝝓𝟐 Shift size 𝜹 𝝓𝟏 0.1 -0.1 𝝀𝟐 𝟎. 𝟔𝝀𝟏 𝝀𝟏 𝟏. 𝟔𝝀𝟏 𝟎. 𝟔𝝀𝟏 𝝀𝟏 𝟏. 𝟔𝝀𝟏 𝒇 0.001082563 0.001516962 0.002747883 0.001100874 0.001632161 0.003140205 0.2 0.001 𝜁(𝑣) 105.723 (<0.01) 163.560 (<0.01) 207.867 (<0.01) 109.668 (<0.01) 170.223 (<0.01) 217.026 (<0.01) 𝜁(𝑣) 105.723 (2.766) 163.560 (2.875) 207.867 (2.812) 109.668 (2.703) 170.223 (2.876) 217.026 (2.828) %𝐴𝑐𝑐 100.00 100.00 100.00 100.00 100.00 100.00 0.002 𝜁(𝑣) 59.469 (<0.01) 98.066 (<0.01) 131.499 (<0.01) 61.949 (<0.01) 102.879 (<0.01) 138.876 (<0.01) 𝜁(𝑣) 59.469 (2.813) 98.066 (2.813) 131.499 (2.828) 61.949 (2.811) 102.879 (2.828) 138.876 (2.781) Keywords: arl; chart; control; control chart; dewma; model; trend; 𝑨𝑹𝑳𝟏; 𝑴𝑹𝑳𝟏; 𝑺𝑫𝑹𝑳𝟏; 𝜁(𝑣
• Novel Management Model for Leveraging Leadership for Successful Digital Transformation in Telecommunications Enterprises by Pham, Thi Thanh Hong; Nguyen, Thi Thu Thuy; Trinh, Thu Thuy; Pham, Minh Hoang; Ngoc, Tran Thi Bich (2025) - The characteristics of digital transformation leadership: Theorizing the practitioner voice. A mixed-methods approach was employed, combining qualitative insights with quantitative data from surveys of management personnel overseeing digital transformation projects. Keywords: capacity; change; change leadership; commitment; communication; digital; employee; employee engagement; engagement; initiatives; journal; leadership; management; model; project; research; results; study; success; telecommunications; transformation
• Closing Price Prediction of Cryptocurrencies BTC, LTC, and ETH Using a Hybrid ARIMA-LSTM Algorithm by Ruiz-Lopez, Jherson S.; Jiménez-Carrión, Miguel (2025) - The study concluded that LSTM networks performed better than ARIMA models. ETH Univariate $75.30 $49.21 1.98% 98.80% Multivariate $75.16 $49.04 1.99% 98.80% Multivariate with PFI $75.69 $48.87 1.97% 98.78% HighTech and Innovation Journal Vol. 6, No. 2, June, 2025 493 In general, it was observed that LSTM networks demonstrated higher predictive performance than ARIMA models, with MAPE values around 2%. Keywords: arima; btc; cryptocurrency; data; eth; hybrid; lstm; ltc; mape; metrics; model; networks; performance; price; values
• FATA-ResNet Network for CAD/CAM Integration in Cloud Manufacturing by Gu, Chao (2025) - On the other hand, although model optimization has achieved significant results in terms of accuracy and efficiency, its high dependence on computational resources may limit its ability to be deployed in resource- limited enterprises. Future research will focus on the validation of multi-scene data, model resource optimization, and real-time collaborative operation to promote the in-depth application of CAD/CAM technology in intelligent manufacturing and provide support for the digital and intelligent development of manufacturing. Keywords: algorithm; analysis; cad; cam; cam integration; cloud; cloud manufacturing; data; fata; figure; integration; journal; manufacturing; model; optimization; resnet; technology
• Using PID-BP Digital Virtual Reality for Non-Heritage Protection: Recognition and Assessment by Gao, Zhenyu; Gong, Yaoben (2025) - To achieve this, we propose an improved method for the identification and assessment of non-heritage digital protection by optimizing the BP neural network using the PID search algorithm. The PID search algorithm is employed to optimize the BP neural network, which helps in establishing a mapping relationship between the feature vectors and the assessment values of non-heritage digital protection. Keywords: algorithm; assessment; culture; data; digital; figure; heritage; identification; journal; model; network; neural; non; nrh; pid; protection
• Simulated Annealing Algorithm for Vehicle Routing with Stochastic Travel Times and Soft Time Windows by Jiménez-Carrión, M.; Ojeda-Hidalgo, Kenin M. (2025) - In this stage, the stochastic travel time model function is implemented, whose purpose is to estimate the variability in vehicle travel times, considering both the day and the estimated arrival time at each destination. However, to date, no study has jointly addressed the use of stochastic travel times derived from real data and soft time windows within a metaheuristic optimization framework. Keywords: algorithm; data; end; energy; function; iterations; journal; model; number; problem; routing; solution; time; travel; travel time; vehicle; windows
• Analyzing Online News Dissemination Patterns via Social Network Hypergraph Model by Jia, Ruiyang (2025) - For instance, some studies have used graph theory to construct news dissemination models to analyze the dynamics of news in social networks [4]. Third, while many studies have provided theoretical analyses of news dissemination models, they often lack effective experimental validation [9]. Keywords: analysis; communication; content; data; dissemination; figure; hypergraph; hypergraph model; media; model; network; news; news dissemination; propagation; topic; user
• Mathematical Approaches and Algorithms in Big Data Architecture and Hybrid System Efficiency by Aliaskarov , Serik; Uskenbayeva , Raissa; Serbin, Vassily; Bekmurat, Orazmuhamed; Bazarbayeva, Umit; Bakhtiyarova , Yelena; Sansyzbay, Kanibek (2025) - This work extends the theoretical understanding of hybrid big data processing systems by quantitatively assessing their behavior under different types of load and formally modeling fault tolerance metrics based on DAG graphs. System Architecture Specification The architectural specification serves as a foundation for understanding the differences in the operating principles, scalability, and fault tolerance of big data processing systems. Keywords: analytics; architecture; data; data processing; efficiency; execution; fault; hadoop; hybrid; journal; memory; model; performance; processing; resource; spark; storage; systems; tasks; time; tolerance; vol
• Unveiling Key Drivers of Citizens' Acceptance of E-Voting: A Quantitative Analysis by Osmanaj, Valmira; Zaidi, Syed Faizan Hussain; Kulakli, Atik; Harizaj, Miranda (2025) - Technological, institutional, and social variables all have an impact on e-voting trust. The proposed model offers practical insights for policymakers and system developers seeking to improve public confidence and foster wider adoption of e-voting technologies. Keywords: adoption; citizens; constructs; electronic; factors; framework; government; information; innovation; intention; journal; model; process; public; research; services; study; system; tam; technology; trust; usage; use; value; voting
• Analyzing the Epidemiological Outbreak of COVID-19: Real-time, Visual Data Analysis, Short-term Forecasting, and Risk Factor Identification by Long, Jiawei (2021) - AIC is an abbreviation of the Akaike Information Criterion, and it estimates the quality of a mode fit l relative to a collection of data models. Section 2 of the paper discusses the related work in the realm of data analysis of COVID-19 and highlights the innovative differences between the study presneted in this paper and the previous studies. Keywords: average; cases; covid-19; data; figure; journal; model; patients; series; symptoms; test; time; website
• Topology Optimization by the use of 3D Printing Technology in the Product Design Process by Ntintakis, I.; Stavroulakis, G. E.; Plakia, N. (2020) - Product design process Various three-dimensional printing techniques have been well developed, each one has strengths and weaknesses. Topology Optimization (TO) Topology Optimization can be a significant tool during product design process. Keywords: design; figure; manufacturing; material; model; optimization; process; results; study; table; topology
• The Use of a Convolutional Neural Network in Detecting Soldering Faults from a Printed Circuit Board Assembly by Akhtar, Muhammad Bilal (2022) - Capacitor Detection in PCB Using YOLO Algorithm. It was seen that YOLO provides a simple technique for designing fast object detection CNN that generalizes well. Keywords: accuracy; architecture; cnn; detection; faults; image; inspection; layers; max; model; number; pcba; soldering; yolo
• Eye Tracking Algorithm Based on Multi Model Kalman Filter by Ziafati Bagherzadeh, S. H.; Toosizadeh, S. (2022) - The results of eye tracking in the first scenario: a) frame 1; b) frame 50; c) frame 100; d) frame 150; c) frame 200 In Figures 7 and 8, the errors of estimating eye position to the real mode by proposed algorithm and Kalman filter are shown. − 𝐶�̂�𝑘|𝑘−1) 𝑃𝑘|𝑘 = (𝐼 − 𝐾𝑘𝐻𝑘)𝑃𝑘|𝑘−1 (5) The purpose of this section is to explain the proposed method based on multi-model algorithm for optimizing the estimation of eye position. Keywords: eye; filter; frame; k k; kalman; method; model; position; tracking
• 3D Numerical Modeling to Evaluate the Thermal Performance of Single and Double U-tube Ground-coupled Heat Pump by Tarrad, Ali H. (2022) - [14] presented a 3-dimensional numerical simulation model for U-tube borehole heat exchangers. Development of a numerical model for the simulation of vertical U-tube ground heat exchangers. Keywords: borehole; exchanger; flow; ground; heat; model; temperature; transfer; tube; water
• Analysis of Vertically Oriented Coupled Shear Wall Interconnected with Coupling Beams by Singh, Vikram; Sangle, Keshav (2022) - Conclusions The purpose of this paper was to investigate the nonlinear behaviour of concrete coupled shear walls with coupling beams under lateral loads. Structural shear wall, SW21 is analysed in this paper for validating the nonlinearity procedure to be carried out on coupled shear wall. Keywords: analysis; beams; concrete; coupling; damage; figure; journal; model; plastic; shear; strain; wall
• Effects of Social e-Commerce on Consumer Behavior by Gaol, Ford Lumban; Denavi, Mulia; Danny, Jonathan; Anggaragita, Bagas Ditya; Hartanto, Andry; Matsuo, Tokuro (2022) - The main reason someone shop at social commerce sites is as a means of shopping and can find the desired item quickly without spending a lot of time and energy. The purpose of this study is to validate the analytical framework and conceptual model built for social commerce by studying the intentions of social commerce customers. Keywords: commerce; data; influence; internet; model; research; result; social; study; table; test; variable
• The Impact of Digital Marketing vs. Traditional Marketing on Consumer Buying Behavior by Mehmeti-Bajrami, Shpresa; Qerimi, Fidan; Qerimi, Arbí«resha (2022) - Abstract Objectives: This research aims to measure the impact of digital marketing vs. traditional marketing on consumer behavior by analyzing their motives and reasons related to the orientation and purchase of products or services through social media and identifying the differences in marketing strategies used depending on the demographics of respondents. So, digital marketing can be influential in changing people’s behavior and buying based on online comments or opinions, while traditional marketing, where advertisements or recommendations decide to buy from professionals. Keywords: behavior; consumer; consumer behavior; digital; impact; journal; marketing; media; model; products; research; services; test
• New Technologies and Innovative Solutions in the Development Strategies of Energy Enterprises by Borowski, Piotr F. (2020) - Energy and social aspects meet at the point of building responsible strategies in energy companies. The establishment of Startups with high tech innovations is becoming more and more popular among energy companies. Keywords: adaptation; analysis; business; changes; companies; company; development; energy; enterprises; environment; innovation; journal; management; market; methods; model; new; qualitative; research; sector; size; strategy
• The Importance of Good Governance in the Government Organization by Karunia, R. Luki; Darmawansyah, Darmawansyah; Dewi, Kurnia Sari; Prasetyo, Johan Hendri (2023) - Keywords: Implementation; Good Governance; Government Organization; Land Transportation Management Center; PLS-SEM. But good governance models emphasize processes and procedures [42]. Keywords: accountability; center; governance; government; indonesia; journal; land; land transportation; management; model; organization; performance; public; research; responsibility; results; transparency; transportation; transportation management; value
• Development and Algorithmization of a Method for Analyzing the Degree of Uniqueness of Personal Medical Data by Lampezhev, Abas H.; Kuklin, Vladimir Zh.; Chervyakov, Leonid M.; Tatarkanov, Aslan A. (2023) - Building an analytical model designed to assess the efficiency of IS (CN) protection from potentially dangerous situations related to attempts of data distortion on carriers stored by objects and entities in the insurance sector 6. Formalization of the selection criteria for information security systems, considering the indicators of functioning IS (CN) and destabilization factors in the design of information security systems 7. Analysis of existing risks and threats to IS (CN) as well as methods to address them through strategic planning and so-called software tools to ensure awareness 8. Monitoring a wide range of information security threats has shown that one of the main defenses is enterprise security control Keywords: access; data; information; journal; model; patient; pmd; security; system; threats; uniqueness
• Utilization of the Weighted Product-Based CIPP Evaluation Model in Determining the Best Online Platform by Divayana, Dewa Gede Hendra; Suyasa, P. Wayan Arta; Santiyadnya, Nyoman; Andayani, Made Susi Lissia; Sundayana, I Made; Astawa, I Nengah Dasi; Mariani, Ni Wayan Rena; Sugiharni, Gusti Ayu Dessy (2023) - The purpose of organizing online learning Microsoft Teams 0.0189 Kelase 0.0184 Moodle 0.0195 SEVIMA EdLink 0.0181 Support from the academic community for the implementation of online learning Microsoft Teams 0.0183 Kelase 0.0180 Moodle 0.0192 SEVIMA EdLink 0.0177 The ability of the development teams to install and control the supporting devices for the realization of online learning Microsoft Teams 0.0176 Kelase 0.0170 Moodle 0.0184 SEVIMA EdLink 0.0168 HighTech and Innovation Journal Vol. 4, No. 1, March, 2023 243 Funding support from college Microsoft Teams 0.0179 Kelase 0.0174 Moodle 0.0186 SEVIMA EdLink 0.0175 Lecturer’s knowledge about online learning platforms Microsoft Teams 0.0174 Kelase 0.0165 Moodle 0.0180 SEVIMA EdLink 0.0167 Student’s knowledge about online learning platforms Microsoft Teams 0.0175 Kelase 0.0170 Moodle 0.0185 SEVIMA EdLink 0.0174 Lecturer skills in using online learning platforms Microsoft Teams 0.0174 Kelase 0.0165 Moodle 0.0181 SEVIMA EdLink 0.0167 Student skills in using online learning platforms Microsoft Teams 0.0176 Kelase 0.0168 Moodle 0.0184 SEVIMA EdLink 0.0171 The reporting mechanism for the use of supporting funds for the realization of online learning Microsoft Teams 0.0170 Kelase 0.0167 Moodle 0.0182 SEVIMA EdLink 0.0170 Lecturer satisfaction in using online learning platforms Microsoft Teams 0.0176 Kelase 0.0173 Moodle 0.0183 SEVIMA EdLink 0.0170 Student satisfaction in using online learning platforms Microsoft Teams 0.0179 Kelase 0.0176 Moodle 0.0185 SEVIMA EdLink 0.0173 Satisfaction of the development teams in managing the online learning platform Microsoft Teams 0.0181 Kelase 0.0184 Moodle 0.0190 SEVIMA EdLink 0.0179 Quality of online learning using online platforms Microsoft Teams 0.0184 Kelase 0.0187 Moodle 0.0192 SEVIMA EdLink 0.0180 The highest score of the V vector shown in Table 4 was 0.0195. The novelty of this research is the combination of the Weighted Product method and the CIPP model, which makes it easier for educational evaluators to determine the best online platform that supports online learning during the COVID-19 pandemic and even post-COVID-19. Keywords: calculation; cipp; evaluation; journal; learning; method; model; moodle; online; platform; product; quality; research; simulation; support; teams
• Comparison of CNN Classification Model using Machine Learning with Bayesian Optimizer by Surono, Sugiyarto; Afitian, M. Yahya Firza; Setyawan, Anggi; Eni Arofah, Dyiyah Kresna; Thobirin, Aris (2023) - This simply means that this current research helps to achieve high classification accuracy through the combination of a state-of-the-art CNN model and an optimized ML algorithm. For example, the proposed model provided high classification accuracy in the COVID-19 Radiographic Database dataset but is likely to show lower accuracy in different datasets. Keywords: accuracy; algorithm; bayesian; classification; cnn; covid-19; data; journal; learning; model; optimization; svm
• DSS LANDS: A Decision Support System for Agriculture in Sardinia by Fenu, Gianni; Malloci, Francesca Maridina (2020) - Decision support system data for farmer decision making. [6] that defined decision support systems as computer systems that collect resources and use the ability of computer to increase quality of decisions by focusing on semi structured problems. Keywords: agriculture; crop; data; decision; dss; dsss; information; management; model; support; systems
• Research on Customer Relationship Segmentation of Apparel Retail Industry through Data Mining by Zhu, Ning (2023) - The RFM model is utilized to construct customer segmentation indicators, as shown in Table 1. Therefore, this article utilizes the K-means algorithm in data mining technology to classify customer data [16]. Keywords: algorithm; classification; consumption; customer; data; journal; means; model; segmentation
• Study of Optimization of Tourists' Travel Paths by Several Algorithms by Wang, Ting (2023) - The ACO-based path planning algorithm had the fastest decrease in fitness value during convergence and reached a stable state after approximately 30 iterations. The PSO-based path planning algorithm had the slowest decrease in fitness value, converging to a stable state after approximately 170 iterations and stabilizing around 200 iterations. Keywords: algorithm; ant; colony; model; optimization; path; path planning; planning; tourism
• A Comparative Study of Sentiment Analysis Methods for Detecting Fake Reviews in E-Commerce by Puttarattanamanee, Maneerat; Boongasame, Laor; Thammarak, Karanrat (2023) - Methods The main objective of this study was to compare various models and provide methodologies for detecting fake reviews in e-commerce platforms by using machine-learning and deep-learning techniques. Finally, sentiment analysis informs changes to the input, model, or methodology to increase accuracy and relevance for future assessments. Keywords: analysis; data; dataset; learning; model; reviews; roberta; sentiment; study; words
• Fast and Accurate Pupil Estimation Through Semantic Segmentation Fine-Tuning on a Shallow Convolutional Backbone by Kurdthongmee, Wattanapong; Kurdthongmee, Piyadhida (2024) - These datasets have broadened the scope of conditions under which pupil estimation models are developed and tested, including low-light environments and significant variations in pupil size. In Table 4, the results of various pupil estimation models sorted by average error are presented. Keywords: accuracy; approach; dataset; detection; error; estimation; eye; images; learning; model; performance; pupil; pupil estimation; segmentation; training
• An Innovative Mobile Application for Wellness Tourism Destination Competitiveness Assessment: The Research and Development Approach by Phuthong, Thadathibesra; Anuntavoranich, Pongpun; Chandrachai, Achara; Piromsopa, Krerk (2023) - [19] developed a model to assess the potential of wellness tourism destinations using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach to conduct a literature review and identify wellness tourism destination assessment factors and indicators. The research objectives were 1) to develop and test the effectiveness of an innovative mobile application for wellness tourism destination competitiveness assessment and 2) to study the acceptance of an innovative mobile application for wellness tourism destination competitiveness assessment. Keywords: analysis; application; competitiveness assessment; data; destination competitiveness; destinations; development; factors; group; innovation; journal; level; matrix; mobile; model; potential; questionnaire; research; results; score; system; tourism destination; user; values; wellness tourism
• Exploring the Flexibility and Accuracy of Sentiment Scoring Models through a Hybrid KNN-RNN-CNN Algorithm and ChatGPT by Hariguna, Taqwa; Ruangkanjanases, Athapol (2023) - It includes:  Model Development Testing: Developing and fine-tuning the sentiment analysis models, including KNN, CNN, and RNN, to ensure they can accurately assess the sentiment and relevance of sentences in the essays. Looking ahead, there are several promising avenues for further enhancing the sentiment analysis model developed in this study. Keywords: accuracy; analysis; chatgpt; cnn; data; journal; learning; model; research; rnn; sentiment; sentiment analysis; study; text; topic
• Numerical Behavior of Extended End-Plate Bolted Connection under Monotonic Loading by Gjukaj, Anita; Salihu, Fidan; Muriqi, Ali; Cvetanovski, Petar (2023) - Boundary conditions and contacts in end plate connection In the finite element model, all degrees of freedom at each end of the column were fixed except for rotation about the strong axis of the column cross-section. Parametric analysis of steel bolted end plate connections using finite element modeling. Keywords: beam; column; connections; element; end; end plate; joints; model; moment; plate; rotation; steel; stiffeners; web
• Competency Model: A Study on the Cultivation of College Students' Innovation and Entrepreneurship Ability by Chen, Yu; Mei, Yuan (2023) - Entrepreneurial experience 0.111+ 0.121+ 0.134+ 0.141+ Academic qualifications 0.121+ 0.124+ 0.113+ 0.132+ Independent variables (entrepreneurial knowledge factors) Abstract Objectives: This study was designed to analyze entrepreneurial competency and enhance college students' abilities in innovation and entrepreneurship. Keywords: business; college; competency; entrepreneurship; factors; innovation; knowledge; management; model; students
• Lip-Reading with Visual Form Classification using Residual Networks and Bidirectional Gated Recurrent Units by Anni, .; Suharjito, . (2023) - Several convolutional network models have been developed to extract image features, but their applicability in video analysis is limited owing to the absence of motion modeling. Lip Reading Sentences Using Deep Learning with only Visual Cues. Keywords: cnn; gru; lip; model; network; reading; recognition; resnets; speech; training; viseme; word
• Evolutionary Algorithm-Based Energy-Aware Path Planning with a Quadrotor for Warehouse Inventory Management by De Guzman, C. J. P.; Chua, A. Y.; Chu, T. S.; Secco, E. L. (2023) - Energy consumption models were investigated early in the literature to estimate the energy required by a quadrotor to peruse a flight plan. The change in quadrotor yaw also corresponds to a nonnegligible increase in energy consumption, which should be managed carefully during long-term operations performed in large-scale warehouse environments. Keywords: algorithm; consumption; energy; energy consumption; model; path; planning; quadrotor; warehouse; yaw
• Evaluating the Determinants of Young Runners' Continuance Intentions toward Wearable Devices by Guo, Zhaoxia; Liu, Guoqing; Liu, Zhiguo; Khan, Asif (2023) - In the context of wearable devices, previous research has identified PU as a significant predictive factor for user intentions to adopt such wearable devices [5, 40]. This study is grounded in the Technology Acceptance Model and the Theory of Planned Behavior, with an extension incorporating the quantified self to explore the impact of users' continuance intentions to use wearable devices. Keywords: acceptance; behavior; continuance; devices; intention; journal; model; research; runners; self; study; technology; use; users
• BERT: A Review of Applications in Sentiment Analysis by Sayeed, Md Shohel; Mohan, Varsha; Muthu, Kalaiarasi Sonai (2023) - Sentiment analysis of Chinese stock reviews based on BERT model. The purpose of this review paper is to explore and evaluate the applications of the BERT model, a Natural Language Processing (NLP) technique, in sentiment analysis across various fields. Keywords: accuracy; analysis; bert; bert model; data; international; journal; language; learning; model; reviews; sentiment; sentiment analysis; study; text
• Forming the Architecture of a Multi-Layered Model of Physical Data Storage for Complex Telemedicine Systems by Polezhaev, Dmitry V.; Tatarkanov, Aslan A.; Alexandrov, Islam A. (2023) - Storage process in the framework of the proposed model A demonstration experiment using, for example, such a tool for solving the problem of placing objects in accordance with the required parameters, as the apparatus of the Kohonen neural network, showed that the model of resource management of data storage systems proposed in this research is operable (which is illustrated by one of the fragments of the obtained test results in Figure 8) and makes it possible to solve the problem of rational use of the DSS physical resources. As a result, a multilevel model of data storage is proposed, which combines the levels of storage process organization and technology. Keywords: access; capacity; data; data storage; file; information; information storage; journal; level; management; model; network; process; storage; structure; system; technologies; use
• Recommendation Model for Learning Material Using the Felder Silverman Learning Style Approach by Hasibuan, M. S.; Abdul Aziz, R. Z.; Dewi, Deshinta Arrova; Kurniawan, Tri Basuki; Syafira, Nasywa Aliyah (2023) - A type of personalization called learning style has been the focus of previous studies [6–9]. According to Keefe [10], learning style is characterized by cognitive, affective, and psychological traits that are utilized during the learning experience. Keywords: data; education; journal; learning; model; recommendation; research; students; styles; tree;  
• Aspect-Level Sentiment Analysis through Aspect-Oriented Features by Busst, Mikail Bin Muhammad Azman; Anbananthen, Kalaiarasi Sonai Muthu; Kannan, Subarmaniam (2024) - Convolution over hierarchical syntactic and lexical graphs for aspect level sentiment analysis. This innovative solution extracts aspects and sentiments and incorporates a rule-based algorithm to combine accurate sets of aspect and sentiment features. Keywords: aspect; features; input; input texts; layer; level sentiment; model; number; restaurant; sentiment; sentiment analysis; solution; texts
• Innovative Label Embedding for Food Safety Comment Classification: Fusion of Self-Semantic and Self-Knowledge Features by Zhang, Yiming; Liu, Haozheng; Feng, Jiaming; Zhang, Xu (2024) - Analysis of Experimental Results In this sub-section, we focus on validating the following inquiries:  Is the superiority of fusion models over traditional text classification models significant? Is the advantage of fusion models over traditional text classification models significant? Keywords: bert; classification; cnn; features; food; fusion; information; label; layer; learning; model; performance; pivot; representation; safety; text; word
• Comparative Analysis of Deep Learning Models for Part of Speech Tagging in the Malay Language by Adebayo, Bakare Mustaphaa; Anbananthen, Kalaiarasi Sonai Muthu; Muthaiyah, Saravanan; Lurudusamy, Saravanan Nathan (2024) - The results indicate that deep learning models have exhibited higher efficacy in POS tagging than the rule-based approach and statistical machine learning methods. This study aims to enhance the effectiveness and reliability of POS tagging models explicitly tailored for under-resourced languages within the field of NLP, focusing on Malay. Keywords: accuracy; bert; language; learning; lstm; malay; model; pos; pos tagging; speech; tagging
• Creating an Innovative Business Model for the Performance of Commercial Dental Clinics by Kostyrin, Evgeniy V.; Bagdasaryan, Grigoriy G. (2024) - As follows from the above, with the current trend of financial security of dental services for citizens of the Russian Federation at the expense of compulsory health insurance funds and almost one hundred percent demand for it from the population, the demand for paid dental services for the population will grow, and along with it, competition between CDOs for the patient will increase. Research flowchart A common practice for organizing the provision of paid dental services by the CDO is to provide financial incentives for the dentists’ work as a percentage of the total volume of dental services provided and the revenue received from their No Keywords: business; cdo; cdo development; column; dentists; development; incentives; increase; journal; labor; management; model; modeling; organizations; personnel; population; research; rub; russian; services; table; volume; working
• Improving the Air Quality Monitoring Framework Using Artificial Intelligence for Environmentally Conscious Development by Manongga, Danny; Rahardja, Untung; Sembiring, Irwan; Aini, Qurotul; Wahab, Abdul (2024) - The selection process for air quality data was conducted autonomously by AI through the implementation of Imagga, as illustrated in Figure 2. This architecture systematically processes and displays air quality data, emphasizing data integrity, security, and user experience. Keywords: aiku; air quality; algorithm; analysis; data; environmental; framework; function; image; information; iot; journal; learning; machine; middleware; model; monitoring; performance; process; quality monitoring; research; system; time; weather
• Application of Smart Model in the Analysis of Opera Heritage Archiving and Protection by Liu, Xueying; Zhou, Wei; Dong, Yuting; Zhu, Libing; Chen, Naijia (2024) - Indeed, traditional Chinese opera is a cultural treasure of immense value, not only in China but also in the world. In the twentieth century, traditional Chinese opera experienced significant developments in artistic expression and performance techniques, thanks to the efforts of many outstanding artists and performers. Keywords: analysis; archiving; china; chinese; development; heritage; model; opera; opera heritage; preservation; promotion; protection; research; study
• Evaluating Household Consumption Patterns: Comparative Analysis Using Ordinary Least Squares and Random Forest Regression Models by Lee, En; Ong, Thian Song; Lee, Yvonne (2024) - On the other hand, Zin & Nabilah (2015) [15] conducted linear and quantile regression to identify the factors that contribute to household expenditure across urban and rural areas, but only considered three quantiles (three expenditure levels). [16] study, as both studies use the same data source (Household Expenditure Survey, HES), select the same target variable (per capita expenditure), and decompose the degree to which determinants contribute to household expenditure, but this study further explores the scope using Machine Learning model. Keywords: age; capita; consumption; determinants; expenditure; forest; household; income; level; log; model; relationship; size; study; value; variables
• A Novel Optimization Approach for Revolutionizing Architectural Design in Chinese Cultural Heritage by Li, Xueyong; Yang, Xiaoqing (2025) - Key Contributions  Integrating modern technologies such as BIM, AR, and EAC-CCNN is crucial for academics to detect defects in Chinese cultural heritage buildings. The authenticity, uniqueness, and safety of cultural heritage buildings may be guaranteed by this all-encompassing method of architectural design. Keywords: bim; building; ccnn; china; cultural; data; design; eac; figure; heritage; image; information; journal; method; model; modeling; research
• Innovative Date Fruit Classifier Based on Scatter Wavelet and Stacking Ensemble by Al-Kharaz, Ali A.; Alwahhab, Ahmed B. A.; Sabeeh, Vian (2024) - The high dimensionality of the data with some overlapped features between date fruit classes may cause the data to be unclear and inseparable. This research highlighted the importance of the texture, or tissue, of the fruit as a successful feature that can be used to distinguish between date fruit classes. Keywords: accuracy; classes; classification; classifier; cnn; dataset; date; date fruit; features; figure; fruit; images; learning; model; scattering; stacking; svm; wavelet
• Early Identification of Skin Cancer Using Region Growing Technique and a Deep Learning Algorithm by Irianto, Suhendro Y.; Yunandar, Rian; Hasibuan, M. S.; Dewi, Deshinta Arrova; Pitsachart, Nualyai (2024) - Initially, from skin cancer image data, the image extraction process was performed to obtain color or shape features. The high accuracy suggested that the integrated approach effectively captured the complex patterns present in skin cancer images, leading to improved detection performance. Keywords: accuracy; algorithm; cancer; classification; corner; data; detection; figure; growing; image; input; learning; lstm; method; model; processing; region; results; segmentation; size; skin; study
• Stability Assessment of an Ore Mill Electric Drive Using Machine Learning by Baghdasaryan, Marinka; Hovhannisyn, Vardan (2024) - Abstract The relevance of the study is due to the need to improve electric drive systems operated in harsh conditions. Introduction The correct organization of technological processes at manufacturing enterprises is mainly due to the smooth operation and efficient operation of electric drive systems that ensure the operation of the technological mechanisms Keywords: accuracy; drive; drive system; electric; learning; mill; model; motor; n c; n t; ore; stability; system
• Real-Time Online Banking Fraud Detection Model by Unsupervised Learning Fusion by Abbassi, Hanae; El Mendili, Saida; Gahi, Youssef (2024) - The findings from simulations demonstrate that the proposed approach can detect transaction fraud and is immune to double-spending and Sybil threats. As a result, we undertook a literature analysis using the methods of research outlined in the preceding section to examine all accessible studies that contributed to the continuing interactions on online transaction fraud detection. Keywords: accuracy; approach; autoencoder; banking; data; detection; digital; eif; fraud; fraud detection; isolation; journal; learning; machine; model; score; transactions
• Students' Flow Experience of Using AI-Powered Online English Learning Platforms by Wu, Chang-Hong; Fan, Wei-Shang (2024) - Engaging in collaborative systems like video calls, chat services, or discussion rooms within online learning platforms can stimulate a state of FL, encouraging a perception of complete engagement in activities Users' CONF of prospects related to online learning platforms significantly influences their IM to use these platforms, subsequently impacting the SAT and the CI to utilize them [49]. Keywords: english; flow; information; intention; journal; learning; learning platform; model; motivation; online; platform; quality; research; sat; students; study
• An Effective Model of Viral Marketing for e-Commerce Enterprises: An Empirical Study by Al-Dwairi, Radwan Moh'd; Alawneh, Ali (2024) - Revenue maximization for Telecommunications Company with social viral marketing. Social media marketing is understood as a group of Internet-based applications that build on the Web, which allow the exchange and creation of user-generated content and allow businesses to buy, sell, and reach their customers effectively [3]. Keywords: benefits; customers; ewom; information; journal; marketing; media; model; networks; regression; research; similarities; social; state; study; support
• Using Multilayer Perceptron Neural Network to Assess the Critical Factors of Traffic Accidents by Ruangkanjanases, Athapol; Sivarak, Ornlatcha; Weng, Zi-Jie; Khan, Asif; Chen, Shih-Chih (2024) - Then, a boosting ensemble learning approach and a combination of traffic accident factors improve the experiment's performance. In this study, three experiments are designed, Experiment 1 uses the appropriate classifier for comparison, Experiment 2 compares the classifier that is better analyzed in Experiment 1 for model optimization, and Experiment 3 analyzes the prediction of various combinations of traffic accident factors based on the best classifier in Experiment 2. Keywords: accident; accident data; data; factors; injury; model; number; prediction; research; results; road; safety; study; traffic; traffic accidents; type; vehicle
• IoT Attacks Detection Using Supervised Machine Learning Techniques by Aljabri, Malak; Shaahid, Afrah; Alnasser, Fatima; Saleh, Asalah; Alomari, Dorieh; Aboulnour, Menna; Al-Eidarous, Walla; Althubaity, Areej (2024) - IoT attack detection datasets often suffer from class imbalances. Despite this, we still obtained excellent results, further underscoring the importance of the three features: Fwd Pkts/s, Bwd Pkts/s, and Pkt Len Max in IoT device attack detection. Keywords: accuracy; attacks; dataset; detection; dos; experiment; features; iot; learning; model; network; performance; precision; recall
• Transformer-Based Sequence Modeling Short Answer Assessment Framework by Sharmila, P.; Anbananthen, Kalaiarasi Sonai Muthu; Chelliah, Deisy; Parthasarathy, S.; Balasubramaniam, Baarathi; Nathan Lurudusamy, Saravanan (2024) - Here are some common challenges faced in short answer assessment: Ambiguity, Lack of context, Grading consistency, Limited response options, Redundant content (Cheating), Time constraints, and Subjectivity. Extracting relevant content without redundancies and Choosing text similarity measures to maintain semantics are also bottlenecks in short answer assessment. Keywords: answer; assessment; attention; content; evaluation; journal; language; model; responses; score; similarity; student; text
• Prediction of Dust Emissions in Highway Subgrade-Filling Construction Based on Deep Neural Network by Wang, Zhibin; Feng, Lei; Li, Yanwei; Du, Qunle; Zhao, Lin; Wang, Xingju (2024) - Additionally, researchers have extensively investigated the forecasting of construction dust concentration. The accurate prediction of highway construction dust data will allow the appropriate measures to be initiated timely to reduce dust concentrations and ensure orderly construction and progress. Keywords: air; analysis; concentrations; construction; construction dust; data; dnn; dust; factors; highway; journal; model; monitoring; pm10; pm2.5; pollution
• Research on Power Consumption Data Prediction of Distributed Photovoltaic Power Station by Yao, Junfeng; Xiao, Chun; Hao, Junbo; Yang, Xiaoxia (2024) - The basic principle of photovoltaic power generation prediction is to build a model to fit the relationship between the input characteristic data and the power output of the photovoltaic power generation system combined with the characteristics of the photovoltaic power generation system and geographical location, so as to realize the photovoltaic power generation prediction In order to improve the research in this aspect, this paper will take the light amplitude as the prediction index of photovoltaic power consumption data. Keywords: data; energy; generation; input; irradiance; lstm; model; photovoltaic; photovoltaic power; power; prediction; regression; term
• Outlier Detection in VPN Authentication Logs for Corporate Computer Networks Access using CRISP-DM by Legowo, Nilo; Bad, Wilyu Mahendra (2024) - With this method, the research process becomes more effective in detecting users who access the company's internal network log data, so that the company can detect outlier users earlier and reduce the potential risk of losing company data. Several approaches can be used to detect outlier data, including statistical-based, depth-based, deviation-based, distance-based, density-based, and high-dimensional approaches [7]. Keywords: access; cluster; company; data; detection; figure; group; means; method; model; network; outlier; process; research; time; vpn
• SARIMAX–GARCH Model to Forecast Composite Index with Inflation Rate and Exchange Rate Factors by Mardianto, M. Fariz Fadillah; Pusporani, Elly; Ulya, Diana; Putra, I Kadek Pasek Kusuma Adi; Ramadhan, Rico (2024) - Time series analysis and predicting COVID-19 affected patients by ARIMA model using machine learning. Forecasting Egyptian GDP using ARIMA models. Keywords: composite; data; exchange; garch; ici; index; indonesia; inflation; journal; model; rate; sarimax; table; time; value; variables
• Understanding Continuance Intention of Merchants as End User in Online Food Delivery After COVID-19 by Yasirandi, Rahmat; Thanasopon, Bundit (2025) - For consumers, OFD services offered safety and accessibility during COVID-19 restrictions, while for merchants, they provided a critical channel to maintain business continuity. A study from South Korea shows that consumers continue to prefer OFD services due to their convenience, reliability, and ease of use, even after dine-in options reopened [4]. Keywords: confirmation; continuance; data; expectations; food; innovation; intention; journal; mass; merchants; model; ofd; ofd services; pandemic; platform; research; risk; satisfaction; services; study; usefulness; users
• Comparative Analysis of Implementation of Solar PV Systems Using the Advanced SPECA Modelling Tool and HOMER Software: Kenyan Scenario by Kibaara, Samuel Kariuki; Murage, D. K.; Musau, P.; Saulo, M. J. (2020) - Solar PV system includes different components that should be selected according to the system type, site location and applications. The major components for solar PV system are the PV module, inverter and the battery bank. Keywords: cost; energy; equation; homer; impacts; journal; model; optimization; paper; power; speca; system; t t; value
• Real-Time Intrusion Detection in Power Grids Using Deep Learning: Ensuring DPU Data Security by Xiao, Maoran; Zhou, Qi; Zhang, Zhen; Yin, Junjie (2024) - Sequence-to-Sequence (Seq2Seq) deep learning algorithms have also shown promise in predicting appliance load signatures based on smart grid data. [11] introduce a new concept called energy disaggregation risk, which refers to the potential privacy issues that arise when energy disaggregation algorithms are used to analyze aggregated smart grid data. Keywords: angle; current; data; detection; energy; grid; intrusion; learning; measurement; model; nilm; performance; phase; power; unit
• A Novel Classification Model Based on Hybrid K-Means and Neural Network for Classification Problems by Chenghu, Cui; Thammano, Arit (2024) - In neural network models, sigmoid is commonly utilized as an activation function [31]. The derivative of the sigmoid function is essential for backpropagation in neural network models. Keywords: algorithm; classification; clustering; data; dataset; figure; journal; means; model; overlapping; performance; results
• An Improved Fire Detection Algorithm Based on YOLOv8 Integrated with DGIConv, FourBranchAttention and GSIoU by Zhang, Muxiang (2024) - This study focused on utilizing and improving YOLOv8 to obtain higher detection accuracy for fire detection. Compared with previous models, such as SSD/YOLOv7, the performance metrics of enhanced YOLOv8 also exhibited significant enhancements, thereby augmenting the accuracy of fire detection. Keywords: attention; boxes; conv; detection; dgiconv; feature; fire; fourbranchattention; loss; map50; mechanism; model; study; yolov8
• Visual Instruction Tuning for Drone Accident Forensics by Editya, Arda Surya; Ahmad, Tohari; Studiawan, Hudan (2024) - Overall, the experiment highlights LLaVAFor’s superior capability in drone forensic analysis, closely matching the ground truth and demonstrating the most accurate interpretation of drone accidents among the models tested. One key limitation is the diversity of drone models and configurations, which makes it difficult to create a one- size-fits-all forensic approach. Keywords: accident; analysis; bleu; data; dataset; drone; drone accident; forensic; gemini; human; image; language; llava; llavafor; model; score
• Overcoming the Obstacle of Time-dependent Model Output for Statistical Analysis by Nonlinear Methods by Sylvain, Girard; Claire-Eleuthèriane, Gerrer (2021) - Sensitivity analysis when model outputs are functions. Analysis of variance designs for model output. Keywords: aam; analysis; dimension; figure; model; pca; principal; time; trajectories
• Analyzing Urban and Rural Water Pollution Impacts with an Integrated Ecological Governance Model Approach by He, Yanjie; Sun, Xiujun; Shan, Nan; Qie, Beibei; Wang, Yiming (2025) - However, human activities generate various forms of water pollution, including domestic, industrial, and agricultural pollutants [2-5]. Consequently, effective governance of water pollution is crucial to safeguarding both environmental health and public safety [9]. Keywords: area; control; environment; governance; groundwater; impact; model; plants; pollution; sewage; soil; source; wastewater; water; water pollution
• A UAV Based Concrete Crack Detection and Segmentation Using 2-Stage Convolutional Network with Transfer Learning by Sorilla, Joses; Chu, Timothy Scott C.; Chua, Alvin Y. (2024) - Utilizing AlexNet for classification and YOLOv4 for segmentation, the model achieved 91.5% classification accuracy and a recall rate of 94.2%, comparable to the 92% accuracy reported by YOLOv4 for crack detection applications. Abstract This study explores a non-destructive testing (NDT) method for crack detection using a two-stage convolutional neural network (CNN) model, incorporating a combination of AlexNet and YOLO models through transfer learning. Keywords: accuracy; alexnet; applications; classification; cnn; crack; crack detection; detection; learning; model; network; segmentation; stage; transfer; uav; yolov4
• Innovative Metal Powder Production Using CFD with Convergent-Divergent Nozzles in Wire Arc Atomization by Sukkee, Matee; Kongphan, Phanphong (2024) - The sudden decrease in velocity is unfavorable to the WASA process, as this process necessitates a consistent high velocity over a specific distance to facilitate the appropriate formation of metal powder particles after being sprayed. Based on the data shown in Table 4 and Figure 10, it is clear that a rise in the divergent angle of the nozzle leads to a reduction in the size of metal powder particles. Keywords: atomization; distribution; figure; flow; fluid; gas; journal; metal; metal powder; model; nozzle; particle; powder; pressure; process; simulation; size; study; throat; velocity
• Improvement and Investigation of the Requirements for Electric Vehicles by the use of HVAC Modeling by Kapeller, Hansjörg; Dvorak, Dominik; Š imič, Dragan (2021) - Reference vehicle model of the Honda Fit EV modelled in Dymola/Modelica Driving range reduction of a medium-sized EV in cold (heating) and hot (cooling) weather conditions, applying a conventional HVAC system [4] To address the challenge of enhancing driving range, the synergies of a technology portfolio in the areas of user- centric design (with enhanced passenger comfort and safety), lightweight materials (with enhanced thermal insulation properties), and optimized vehicle energy management have been exploited. Keywords: conditions; cooling; driving; energy; figure; heating; hvac; model; range; reduction; vehicle
• A Method for Assessing Urban Industrial Ecological Efficiency Using SBM-GML Model with Tax Reduction by Guo, Yuchen; Guo, Jianwei (2024) - In terms of LDA topic models, the traditional LDA model highly relies on word frequency analysis in the process of topic modeling, which may lead to insufficient accuracy of topic extraction in the face of complex policy texts. The integration of co-occurrence analysis of policy words and topic feature extraction could effectively improve the accuracy of policy text clustering so as to better understand the potential impact of tax reduction policies on industrial EE. Keywords: analysis; clustering; data; development; efficiency; feature; figure; high; industrial; industrial ee; innovation; lda; model; policy; reduction; results; study; tax; text; topic; words
• The Dynamic Capability, Innovation, Competitive Advantage, and Survival of Tech Startups by Rinthaisong, Idsaratt; Duangtong, Prempa (2024) - Family firms’ sustainable longevity: the role of family involvement in business and innovation capability. Keywords: Dynamic Capability; Innovation; Competitive Advantage; Survival; Tech Startups. Keywords: advantage; analysis; business; capabilities; capability; data; effect; firm; innovation; innovation journal; journal; management; model; research; resources; role; startups; study; survival
• Performance Evaluation of Extended EWMA Chart for AR Model with Exogenous Variables by Muangngam, Totsaporn; Areepong, Yupaporn; Sukparungsee, Saowanit (2024) - Performance evaluation of extended EWMA control chart in the presence of measurement error. One key performance measure used to evaluate the capability of control charts in detecting changes is the average run length (ARL). Keywords: arl; charts; control; control chart; equation; ewma; ewma control; model; process
• The New Way of Tourism in Green Economy Style for Sustainable Community Development and Empowerment by Sookhom, Arpaporn; Krivart, Kittachet; Jansiri, Nantida; Sookhom, Araya; Chanasit, Jaraspol; Pathak, Shubham; Mallongi, Anwar (2024) - A community that has already established a good foundation for green community tourism management through the CBT process can be upgraded to Step 2: 7 Greens, which consists of a tourism management process that focuses on balancing community tourism and the environment for sustainable tourism in 7 steps: (a) Green Hearts, (b) Green Communities, (c) Green Attractions, (d) Green Activities, (e) Green Logistics, (f) Green Services, and (g) Green Plus. A key goal in community tourism management is to promote cultural tourism and to generate additional income for the villagers [20]. Keywords: communities; community; community tourism; development; economy; green; journal; market; model; model community; new; province; resources; study; style; thailand; tourism; tourism management; tourists; way
• Examining User Satisfaction and Continuous Usage Intention of Digital Financial Advisory Platforms by Ruangkanjanases, Athapol; Hariguna, Taqwa (2025) - One limitation relates to the sample size, which, although adequate for statistical analysis, may not fully represent the broader population of digital financial advisory app users in Indonesia. Among the various innovations, digital financial advisory platforms have emerged as a pivotal development, revolutionizing access to financial advice. Keywords: advisory; app; data; experience; factors; intention; journal; model; peu; platforms; research; satisfaction; services; study; user; user satisfaction; value
• Research on RAG-Based Cognitive Large Language Model Training Method for Power Standard Knowledge by Zhang, Sai; Fan, Xiaoxuan; Song, Bochuan; Liang, Xiao; Zhang, Qiang; Wang, Zhihao; Zhang, Bo (2025) - Overall, the proposed method of transforming triples into natural language text not only helps large language models (LLMs) better understand supplementary knowledge provided by external sources, but also effectively enhances their reasoning and question-answering capabilities for complex knowledge graphs, significantly improving their performance in knowledge graph question answering (KGQA) tasks. Their experimental results demonstrate that combining RAG with knowledge graphs significantly enhances performance in knowledge-based question-answering tasks; Xu et al. Keywords: generation; graph; knowledge; language; llm; method; model; paper; planning; power; question; retrieval; standards; text
• An Object Driven Decision Model for Quantifying the Virtual Merkus Pine Tree's Environment Contribution by Utama, Ditdit Nugeraha; Jabar, Bakti Amirul (2025) - Extension of the GroIMP modelling platform to allow easy specification of differential equations describing biological processes within plant models. Based on these computational simulation results, it is evident that Pine trees contribute significantly to the environment through continuously increasing biomass production. Keywords: biomass; data; decision; doi:10.1016; merkus; model; object; pine; pine tree; plant; research; soil; strength; study; tree
• Optimizing AIGC Technology for IoT Devices with Deep Learning by Xiao, YuShui; Dong, Yucheng (2025) - [6]. AIGC technology (Fusion Technology of Artificial Intelligence, IoT, Graphic Computing, and Cloud Computing) has important application value in IoT graphic recognition [7]. The DL algorithm, pattern recognition method, and model construction process used in this article are described in detail. Keywords: accuracy; aigc; algorithm; article; complexity; data; devices; image; iot; learning; method; model; pattern; processing; recognition; resource; technology

• Digital Literacy for Business Performance: A Study of Entrepreneurs by Angkhasakulkiat, Rattawit; Puriwat, Wilert; Hoonsopon, Danupol (2025) - The study evaluates the effects of digital literacy on business performance within the theoretical frameworks of the Digital Economy (DE), Digital Orientation (DO), Dynamic Capabilities (DC), and Adaptive Capability (AC). This study contributes to the expanding literature on digital transformation by providing actionable insights into the practical applications of digital literacy for entrepreneurial success. Keywords: analysis; business; capabilities; capability; data; digital; dynamic; economy; entrepreneurs; innovation; journal; literacy; management; marketing; performance; research; skills; study; technology
• Research on Carbon Emission Estimation of Rural Tourist Attractions Through Digital Management by Xiao, Rongyang (2025) - Carbon emissions per capita / 𝑘𝑔 𝐶𝑜2 Private car 0.25 3 55 4.58 Long-distance passenger bus 0.071 25 0.156 Diet Main restaurant specifications Average number of tables/table Single table specification/people Average seating rate / % Operating carbon footprint / 𝑘𝑔 Per capita carbon emission / 𝑘𝑔 𝐶𝑜2 Small restaurants 6 4 85 37.28 1.83 Medium-sized restaurants 20 10 85 458.03 2.69 Scenic spot management Main management facilities Quantity / 𝑛 Number of staff/person Carbon emission converted from annual electricity consumption/ 𝑘𝑔 Annual working time/day Carbon emissions per capita 𝑘𝑔 𝐶𝑜2 Visitor reception center 3 15 11577.89 300 2.57 Waste disposal Main waste producing area Amount of waste produced / 𝑡 Carbon emission converted from waste disposal / 𝑡 Carbon emission per capita 𝑘𝑔 𝐶𝑜2 Scenic spot 5684.56 4117.64 0.82 If only the carbon emission generated by the carbon sources in the scenic spot is calculated, the relevant parameters in Table 3 can be used, but in the actual situation, there is not only carbon emission but also carbon absorption. 0 10000 20000 30000 40000 50000 60000 70000 80000 90000 2018 2019 2020 2021 2022 2023 C a r b o n E m is si o n s / t Year Total carbon emissions Transportation carbon emissions Dietary carbon emissions Carbon emissions from scenic area management Carbon emissions from garbage disposal HighTech and Innovation Journal Vol. 6, No. 3, September, 2025 1040 Figure 4. Keywords: absorption; analysis; area; carbon; carbon absorption; carbon emission; emission; estimation; management; park; wetland; wetland park
• Integrating Social Cognitive Neuroscience into Digital Learning: Strengthening Pre-Service Teachers' Learning Design Competencies by Duangngern, Pornpisut; Wannapipat, Wanwisa; Srikoon, Sanit; Higuchi, Naohiro; Kwangmuang, Parama (2025) - The framework bridges theoretical insights with practical applications, providing a scalable model for enhancing digital learning design competencies in teacher education. Overall, this approach connects cognitive theory with practical teaching strategies, creating a comprehensive model for developing digital learning design competencies. Keywords: analysis; assessment; competencies; design; development; digital; education; engagement; environments; framework; implementation; innovation; journal; learning; principles; psts; research; scn; table; teaching; tools
• Global Brand Equity Patterns in High-Tech Industries: A 24-Year Analysis by Siddiqui, Kamran (2025) - Figure 8 shows diverse trends in brand equity growth, with Instagram and YouTube achieving rapid gains, while long-established brands, such as eBay, exhibit steady performance. Overall, the Asian Hardware Cluster highlights diversity in brand equity growth and maturity, with established players continuing to thrive and new entrants gaining momentum. Keywords: analysis; brand equity; brands; cluster; equity; growth; hardware; innovation; interbrand; internet; journal; market; rate; services; software; tech; tech brands; trends; years
• Information Systems Development Methodologies: A Review Through a Teleology Approach by Kavvadia, Helen (2021) - Although some individual research streams have based proposed methodologies on the definition of “desires” rather than needs, the foundation of systems analysis methodologies has been based on expressed needs [33]. HighTech and Innovation Journal Vol. 2, No. 4, December, 2021 375 Endeavoring to clear the confusion created by the explosion of numerous systems analysis methodologies, mainly in the 1970s, Wood-Harper and Fitzgerald (1982) Keywords: analysis; approach; design; development; goals; information; information systems; methodologies; methodology; needs; problem; requirements; systems; systems analysis; united
• Automated Vocabulary Profiling of TOEIC Listening Materials: A CEFR-Aligned Approach for EFL Learners by Sameephet, Banchakarn; Poonpon, Kornwipa; Pradutshon, Nuanchan; Chansanam, Wirapong (2025) - This study presents a Python script that replicates several core functionalities of AntConc [39], such as generating word frequency lists, creating KWIC concordance lines, identifying n-grams, and detecting collocations through pointwise mutual information, along with performing keyword analysis. This implementation incorporates robust file loading with fallbacks that attempt to load word lists from designated files and, if unsuccessful, automatically generate dummy lists accompanied by meaningful warnings to maintain functionality. Keywords: analysis; cefr; data; english; frequency; journal; language; learners; levels; listening; materials; research; terms; test; text; times; toeic; vocabulary; words
• Combination of GIS with Different Technologies for Water Quality: An Overview by Habeeb, Nada Jasim; Weli, Shireen Talib (2021) - [38] Management of water resources River water Sistan- It is, therefore, necessary to monitor water quality continuously to prevent a future catastrophe that adversely affects the quality and quantity of water wealth. Keywords: analysis; assessment; data; doi:10.1016; gis; groundwater; information; integration; journal; management; quality; resources; sensing; system; united; water; water quality; web
• Assessing the Effects of COVID-19 on Accommodations Availabilities and Prices by Giannettoni, Matteo; Lo Duca, Angelica; Marchetti, Andrea (2021) - Why are hotel room prices different? Market accessibility and hotel prices in the Caribbean: The moderating effect of quality-signaling factors. Keywords: accommodation; analysis; availability; covid-19; data; hotel; increase; journal; online; period; price; reviews; room; star
• Towards a Sentiment Analysis of Tweets from Online Newspapers Regarding the Coronavirus Pandemic by Pes, Giulia; Lo Duca, Angelica; Marchetti, Andrea (2021) - The results of the research show that the sentiment of the news from the ANSA Agency contains 62.3% of positive news, 37.3% of negative news, and only 0.3% of neutral news. Therefore, it is crucial to identify the trend in news sentiment over time (Karishma Sharma et al., 2020). Keywords: analysis; ansa; cases; coronavirus; covid; covid-19; data; index; news; number; pandemic; positivity; sentiment
• Microbiological Antibiotic Assay Validation of Gentamicin Sulfate Using Two-Dose Parallel Line Model (PLM) by Eissa, Mostafa Essam; Rashed, Engy Refaat; Eissa, Dalia Essam (2021) - The inhibition zone microbiological antibiotic assay of Gentamicin Sulfate using balanced two-dose Parallel Line Model (PLM) design was validated in terms of specificity, linearity, accuracy, precision and robustness. Each experimental group was done in duplicate with 16 readings for high and low doses of standard and sample per assay test plate. Keywords: accuracy; analysis; antibiotic; assay; design; gentamicin; journal; linearity; method; pharmaceutical; potency; precision; results; sulfate; test; validation; value
• Dendrogram Analysis and Statistical Examination for Total Microbiological Mesophilic Aerobic Count of Municipal Water Distribution Network System by Eissa, Mostafa Essam; Rashed, Engy Refaat; Eissa, Dalia Essam (2022) - Probability–Probability (P-P) plot of the actual versus the expected data dispersion of the point-of-use ports spreading across water distribution system in the plant 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 T h eo re ti ca l C u m u la ti v e D is tr ib u ti o n Empirical Cumulative Distribution P-P plot (C1 to C13) Derived from plotting cumulative distribution function (cdfs) of the actual vs. expected records HighTech and Innovation Journal Vol. 3, No. 1, March, 2022 Kruskal-Wallis test (p < 0.05) showing ranking distribution for all use points of water distribution system The correlation matrix between different segments of the municipal water distribution system is shown in Figure 5 Keywords: analysis; c13; count; distribution; network; study; system; vs.; water
• Modifying Hidden Layer in Neural Network Models to Improve Prediction Accuracy: A Combined Model for Estimating Stock Price by Mahmoudabadi, Abbas; Kanaani, Mehdi; Pourhossein Ghazimahalleh, Fatemeh (2022) - To deal with the above challenge, neural network models have been developed. Therefore, in the last two decades, research has constantly attempted to develop neural network models for forecasting stock prices [21]. Keywords: analysis; data; layer; market; models; network; neural; nodes; prediction; price; series; stock; time; variables
• Forensic Analysis of WhatsApp SQLite Databases on the Unrooted Android Phones by Fayyad-Kazan, Hasan; Kassem-Moussa, Sondos; Hejase, Hussin J.; Hejase, Ale J. (2022) - The huge number of WhatsApp users means remarkably big data getting transferred through the app. Available online at www.HighTechJournal.org HighTech and Innovation Journal Vol. 3, No. 2, June, 2022 175 ISSN: 2723-9535 Forensic Analysis of WhatsApp SQLite Databases on the Unrooted Android Phones Hasan Fayyad-Kazan 1*, Sondos Kassem-Moussa 2, Hussin J. Hejase 3 , Ale J. Hejase 4 1 Department of Information Technology, Al Maaref University, Beirut, Lebanon. Keywords: analysis; android; contact; database; field; figure; group; message; number; record; sqlite; table; user; whatsapp
• Analytical Investigation of Higher Education Quality Improvement by Using Six Sigma Approach by M. S., Ameen Abdulla; E. G., Kavilal (2022) - Effectiveness of students feedback system, Correlation of CO’s and PO’s, PO’s and PSO’s attainment levels and actions for improvement Student Performance Quality of Student projects, Students Performance, Success rate without backlogs, Success rate in stipulated period of time, Participation in inter institution events by students ,Placement, Higher Studies and Entrepreneurship, Improvement in quality of students admitted to the programme Faculty Information and Contribution Process to improve quality of teaching and learning, Industry Consultancy, Project Guidance and support for skill development, Faculty Qualification, Faculty Retention, Faculty Competencies in correlation to programme specific area, Faculty development sessions, Quality of work life of teaching staff, Faculty Cadre Proportion, Student Faculty ratio Facilities and Technical Support Enrollment ratio, Development of infrastructure, Research and Development, Adequate and well equipped lab, Lab maintenance and overall ambience, Safety Measures, Project laboratory, Entrepreneurship Development, Publication of technical magazines, Initiatives related to industry interaction, Professional Societies, Sponsored Research, New courses introduction Alumni Appraisal Alumni associations, Professional activities, Level of campus experience, Commitment towards your boss, Placed students satisfactory level, Support of college after graduation, Satisfaction to university, Working in core field, Contribution of campus life in social aspects, Satisfaction in applied level knowledge, Students commitment in gaining current trends, Business minded approach, NEED Industry Ready Mechanical Engineers Having Conceptual and Practical Knowledge in Top Current Trends and Possessing Excellent Soft Skill HighTech and Innovation Journal Vol. 3, No. 2, June, 2022 200 Table 2. The gap will exist among industry trend and student knowledge 8 Curriculum designing committee is not aware about current trends. Keywords: analysis; college; education; faculty; journal; level; phase; process; project; quality; research; sigma; students; team; value
• Sensor Technology for Opening New Pathways in Diagnosis and Therapeutics of Breast, Lung, Colorectal and Prostate Cancer by Roshani, Saeed; Coccia, Mario; Mosleh, Melika (2022) - Sensor research and technology are co-evolving with growing interactions in different research fields directed to fulfil human goals and needs and solve problems in society. Chemical Sensor, Colorimetric Sensor, Cancer Sensor, Array-based Sensor, Temperature Sensors, Impedance-based Sensor, Attachable Gas Sensors, Hg(ii) Sensor, Eis Aptamer Sensor, and Microrna Sensor are the important sensing technologies in this group. Keywords: analysis; biosensor; breast; breast cancer; cancer; cancer sensor; coccia; colorectal; dna; electrochemical; gas; group; innovation; journal; keywords; lung; lung cancer; network; prostate; research; sensor; technology
• Dynamic Knowledge Management Capabilities: An Approach to High-Performance Organization by Pattanasing, Kanittha; Aujirapongpan, Somnuk; Dowpiset, Kitikorn; Chanthawong, Anuman; Jiraphanumes, Kritsakorn; Hareebin, Yuttachai (2022) - Abstract The purpose of this research was to study the effect of dynamic knowledge management capability on high-performance organizations and organizational performance. The research results revealed that dynamic knowledge management capability had a positive direct effect on high-performing organizations and a positive indirect effect on organizational performance. Keywords: analysis; capability; capital; hpo; knowledge; knowledge management; management; management capability; organization; performance; research
• Social Network Analysis of Cryptocurrency using Business Intelligence Dashboard by Setyono, Jonathan C.; Suryawidjaja, William S.; Girsang, Abba S. (2022) - https://creativecommons.org/licenses/by/4.0/ https://orcid.org/0000-0003-4574-3679 HighTech and Innovation Journal Vol. 3, No. 2, June, 2022 221 Previous studies have been done for searching worth-to-buy cryptocurrencies by using social network analysis. Another research utilized webometrics analysis and social network analysis with the indicators of degree, eigenvector, closeness, and betweenness centralities to examine 53 cryptocurrencies’ performance [8]. Keywords: actors; analysis; bitcoin; cryptocurrencies; data; degree; figure; journal; network; value
• Static Elastic Bending Analysis of a Three-Dimensional Clamped Thick Rectangular Plate using Energy Method by Onyeka, F. C.; Okeke, T. E.; Mama, B. O. (2022) - The introduction of shear deformation effects on the plate displacements distinguishes thick plate theories from thin plate theories. The refined plate theories (RPT), which can be employed for thick plate analysis [16], consists of first-order shear deformation theory (FSDT), also called Reissner- Mindlin theory [17-19], and higher-order shear deformation theories (HSDTs), that provide zero shear stress conditions at the upper and underside of the plates without the shear correction factor Keywords: analysis; bending; plate; rectangular; theory
• New Technologies and Innovative Solutions in the Development of Multimedia Corpus of Mezen Robinsons Texts by Shvetsova, Tatiana V.; Shakhova, Veronika E.; Dulova, Svetlana A. (2023) - The multimedia corpus of Mezen Robinsons texts is a large corpus of Russian written texts of various genres from HighTech and Innovation Journal Vol. 4, No. 1, March, 2023 95 the 18th century to the present day. Corpus Architecture The multimedia corpus of Mezen Robinsons texts offers various sections of information: Corpus Characteristics, Corpus of Texts, Biographies, Multipark, News, Tutorial, Novella, About the Project (see Figure 9). Keywords: analysis; century; corpora; corpus; development; information; journal; language; mezen; mezen robinsons; multimedia; multimedia corpus; publications; research; robinsons; russian; story; texts; word
• Big Data Analysis using Elasticsearch and Kibana: A Rating Correlation to Sustainable Sales of Electronic Goods by Henderi, Henderi; Irawatia, Ranty; Indra, Indra; Dewi, Deshinta Arrova; Kurniawan, Tri Basuki (2023) - Alternative approaches are needed to partition enormous data into manageable chunks that can be directly used as representative samples of the complete data set in big data analysis [12]. The implementation of big data analysis, on the other hand, necessitates the use of effective interactive data visualization software that offers a complete image and has quick performance, scalability, and processing time. Keywords: analysis; conference; data; doi:10.1109; elasticsearch; information; international; kibana; product; rating; sales; study; transactions; visualization
• Factors Shaping Thai Millennials' Low-Carbon Behavior: Insights from Extended Theory of Planned Behavior by Thanapongporn, Ajaree; Saengchote, Kanis; Gowanit, Chupun (2023) - [10] explores the impact of environmental cognition and regional economic development on green consumption attitudes, subjective norms, and perceived behavior control. Overall, the literature suggests that a combination of attitude, awareness and knowledge, social norms, perceived behavior control, and specific indicators can influence low- carbon behavior. Keywords: actions; analysis; attitudes; behaviors; carbon behavior; change; consumption; control; control behavior; demographic; doi:10.1016; energy; factors; green; incentives; influence; journal; millennials; norms; relationship; research; study; technology; thai; tpb; variables
• Impact of Climate Change on the Performance of Household-Scale Photovoltaic Systems by Bozsik, Nándor; Szeberényi, András; Bozsik, Norbert (2024) - Machine learning and analytical model hybridization to assess the impact of climate change on solar PV energy production. The former has a positive impact, while the latter has a negative impact on photovoltaic energy production [1]. Keywords: analysis; change; climate; current; data; doi:10.1016; energy; figure; global; photovoltaic; production; radiation; rcp2.6; rcp4.5; scenarios; temperature; year
• Revolutionizing Pharmaceutical Cold Chain Competency Framework with Reference Process Model and Reference Architecture by Latha, Divya Sasi; Samanchuen, Taweesak (2023) - [14, 15] integrating cold chain process and information Before completion, the author's main option for using a framework in cold chain management was to create functional applications for cold chain processes. Keywords: analysis; chain; chain management; chain process; cold; competency; data; design; development; framework; information; journal; management; process; research; research framework; rpm; standards; study; supply; supply chain
• The Influence Factors of Economic Development of Tourism Industry by Li, Mei (2024) - Findings: Among the first-level indicators, tourism economic support had the highest correlation with tourism economic development, followed by tourism physical base, tourism transportation influence, tourism human resources, and tourism information service. Thus, this indicator will have an impact on tourism economic development, but the degree of correlation will not be very large. Keywords: analysis; correlation; development; economy; indicators; industry; number; sector; sequence; tourism
• Relationships between Brand Value and Country's GDP by Puriwat, Wilert; Tripopsakul, Suchart (2023) - Based on data from the global soft power index and gross domestic product (GDP) of 120 countries from Brand Finance Nation Brands and Word Bank in 2022, linear regression and moderation analysis results reveal that nation brand values positively impact national economic growth. The results of the moderation effect analysis by the PROCESS macro reveal that the impact of nation brand value on economic growth is significantly more substantial for lower-income economies than for higher-income economies. Keywords: analysis; brand; brand value; economic; gdp; growth; income; index; journal; nation; nation brand; power; regression; value
• The Impact of Brand Value on Business Performance: An Analysis of Moderating Effects of Product Involvement by Tripopsakul, Suchart; Puriwat, Wilert; Hoonsopon, Danupol; Na Songkhla, Ratirath (2024) - Path-wise moderation effect - group differences Hypotheses High involvement Low involvement Structural path & direction Estimate P Estimate P z-score H5 Business performance  Brand value 0.332 0.000 0.541 0.000 4.637*** Note: *** p-value < 0.01 The results in Table 8 indicated that brand value significantly and positively affected business performance for both the high (β=0.332, p < 0.01( and low (β=0.541, p<0.01( groups of product involvement. Abstract The purposes of this study are to investigate the impact of brand value on business performance and to examine whether the impact of brand value on business performance differs between high and low product involvement. Keywords: analysis; brand; brand value; business; business performance; impact; involvement; journal; performance; product; research; study; table; value
• A Consumer Data Privacy Protection Model Based on Non-Parametric Statistics for Dynamic Data Publishing in e-Commerce Platforms by Jia, Jiao (2024) - In the process of use, there are more than three data, whereas, in a real environment, the number of data servers will be more than three. The experimental results show that all of the data processing is carried out by three sets of data servers for encrypted information exchange, realizing the information exchange of three data servers. Keywords: algorithm; analysis; commerce; communication; consumer; correlation; data; encryption; information; key; privacy; security; server; time; user
• Revolutionizing Hospitality: Unraveling the Transformative Potential of Big Data in Tourism and Hotel Management by Mu, Lin; Guo, Qianzi; Yang, Lin (2025) - Conclusion: The potential of big data analysis in the travel and hospitality sectors is shown in this research, which adds to the rapidly developing subject. This study highlights how big data analysis plays a critical role in enhancing the tourist experience and promoting industry innovation by clarifying the relationship between technology and customized services. Keywords: accommodation; analysis; booking; data; distribution; experiences; feedback; hospitality; hotel; industry; journal; preferences; tourism; travelers
• Exploring Anti-Ballistic Technology Development through Bibliometric Analysis of Scopus Database Records by Maulana, Fattah; Ubaidillah, .; Lenggana, Bhre W.; Ariawan, Dody; Arifin, Zainal (2023) - Furthermore, a systematic categorization of anti-ballistic materials based on their developmental applications was conducted. Many researchers highly regard the creation of anti-ballistic materials. Keywords: analysis; anti; aramid; armor; articles; authors; ballistic; body; citations; composites; documents; doi:10.1016; engineering; fibers; figure; impact; journal; materials; performance; protection; research; science; structures; technology
• Analysis of Seasonal Wind Energy Potential on Zanzibar Coastal Island by Shame, Buruhan Haji; Tjahjana, Dominicus D. D. P.; Ubaidillah, .; Aziz, Mohammad; Mbumba, Manala T. (2024) - An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran. Analysis of wind speed data and wind energy potential in three selected locations in South-East Nigeria. Keywords: analysis; data; distribution; doi:10.1016; energy; potential; power; research; seasonal; site; speed; study; wind; wind energy; wind speed; wss; wts
• Evaluating the Performance of Topic Modeling Techniques for Bibliometric Analysis Research: An LDA-based Approach by Nguyen, Lan Thi; Chansanam, Wirapong; Hunsapun, Nalatpa; Chaichuay, Vispat; Kanyacome, Suparp; Takhom, Akkharawoot; Jaroenruen, Yuttana; Li, Chunqiu (2024) - Integrating such techniques could enhance the accuracy and interpretability of topic models in this domain. Although these models cannot match the accuracy of human-in-the-loop model evaluation [42], they provide a useful framework for assessing the quality of topic models. Keywords: analysis; coherence; data; document; figure; innovation; journal; lda; modeling; models; number; research; results; study; text; topic; topic modeling; trends; words
• A Study of Android Security Vulnerabilities and Their Future Prospects by Alsumayt, Albandari; Elbeh, Heba; Elkawkagy, Mohamed; Alfawaer, Zeyad; Alghamedy, Fatemah H.; Alshammari, Majid; Aljameel, Sumayh S.; Albassam, Sarah; AlGhareeb, Shahad; Alamoudi, Khadijah (2024) - This study examines security breaches, attacks targeting Android system applications, and vulnerabilities present at every layer of the Android architecture. The findings of this study will reveal the various security risks, vulnerabilities, and potential weaknesses present in Android system applications and the Android architecture. Keywords: access; analysis; android; android malware; applications; approach; attacks; data; detection; devices; iot; journal; layer; learning; machine; malware; security; study; system; vulnerabilities
• Multi-Criteria Decision-Making Model to Achieve Sustainable Developmental Goals in Industry 4.0 for Smart City Infrastructure by Akila, D.; Pal, Souvik; Sarkar, Bikramjit; Jayalaksshmi, S.; Muthaiyah, Saravanan; Anbananthen, Kalaiarasi Sonai Muthu (2024) - It contributes to the study of urban sustainability by providing a method that is more likely to succeed in the long run, to be exact and accurate, and to achieve the desired results in sustainable city development. It makes sustainable city development in Industry 4.0 more efficient and accurate. Keywords: analysis; cities; city; criteria; data; decision; development; framework; industry; making; mcdm; method; multi; research; smart; smes; sustainability; system
• Content Automation in Marketing Research: A Bibliometric Analysis using VOSviewer by Phuthong, Thadathibesra; Thonglor, Ratchamongkhon; Srisuksa, Nontouch (2024) - Further research should, therefore, investigate the effects of implementing open science practices, including data sharing, open access publishing, and transparent research practices, on the dissemination and impact of marketing research content automation. [1] examined the evolution of content marketing research due to emerging technologies and online platforms and suggested areas for further investigation, while Guerrero Velástegui et al. Keywords: advertising; analysis; articles; authors; business; cluster; content automation; content marketing; data; development; digital; field; figure; future; information; innovation; intelligence; journal; literature; management; marketing automation; marketing research; media; publications; research; study; systems; technology
• Optimization of the Ground Motion Intensity Measure for Long-Span Suspension Bridges Considering the Impulse Effect by Su, Junda; Lai, Qinghui; Hu, Jinjun; Xu, Longjun; Xie, Lili; Zou, Yulin (2025) - However, various recent studies have indicated that under different types of ground motion, the PGA and Sa are not sufficiently effective to predict bridge responses, especially for different bridge and ground motion types. 1. Introduction Long-span suspension bridges, as flexible structures, have a long natural vibration period and significant influence from higher modes, making their structural response to ground motions very complex. Keywords: analysis; bridges; engineering; evaluation; figure; ground; ground motion; ims; intensity; motion; response; selection; span; suspension

• A Systematic Literature Review on Resilient Digital Transformation, Examining How Organizations Sustain Digital Capabilities by Chavarnakul, Thira; Xu, Li Da; Bi, Zhuming; Shankar, Achyut; Dhiman, Gaurav; Viriyasitavat, Wattana; Hoonsopon, Danupol (2025) - Digital transformation and SME internationalisation: unravelling the moderated-mediation role of digital capabilities, digital resilience and digital maturity. [22] conceptualizes digital resilience through three levels—user, IT infrastructure, and the wider ecosystem—distinguishing “resilience through digital” (collaborative platforms, remote work) from “resilience to digital” (cybersecurity, system redundancies). Keywords: adaptability; agility; business; capabilities; culture; data; digital; environment; firms; framework; governance; initiatives; innovation; journal; june; learning; literature; management; market; maturity; organizations; pillar; rdt; research; resilience; review; strategies; study; sustainability; technology; term; transformation; vol
• Generative AI for Enhancing Accessibility and Inclusion in Higher Education: A Systematic Review by Jaime-Vargas, José Alejandro (2025) - This study focuses on higher education students from all disciplines. The studies had to explore higher education students with visual, auditory, and motor disabilities. Keywords: accessibility; disabilities; education; generative; inclusion; intelligence; journal; learning; motor; research; review; students; studies
• ML and DL Models for Stroke Prediction from Bio-Signals: A Systematic Review and Bibliometric Analysis by Aldossary, May Issa; Alghamedy, Fatemah H.; Alabbad, Dina A.; Alnuaim, Renad A.; Altaweel, Maimonah S.; Alshami, Reem A. H.; Alzahim, Haya A.; Alotaibi, Shahad F.; Aljameel, Sumayh S.; Almalki, Areej; Olatunji, Sunday O. (2025) - Out of the fifteen studies, more than half of the studies (8) [15-18, 21, 27-29] used EEG signal data, whereas three studies [19, 22, 25] used ECG signal data, three studies [26, 23, 24] These gaps emphasize the need for systematic review and bibliometric analysis that focus on the studies that produced stroke detection or post-stroke effects detection based on ML and DL models using bio-signal data. Keywords: accuracy; bias; bio; data; detection; ecg; eeg; learning; lstm; models; prediction; review; signals; stroke; studies; study
• Understanding AI Application Dynamics in Oil and Gas Supply Chain Management and Development: A Location Perspective by Deif, Ahmed; Vivek, Thejas (2022) - Papers focusing on AI technologies applied to midstream activities Supply chain location Location activities AI technology implemented References captured Midstream Sector Transportation (Pipeline) Machine learning – Multiple types Ben Seghier et al. (2021) Papers focusing on AI technologies applied to downstream activities Supply chain location Location activities AI technology implemented References captured Downstream Sector Downstream processing Machine learning - Supervised learning Eze and Masuku (2018) Keywords: chain; doi:10.1016; gas; gas supply; industry; journal; learning; machine; oil; production; supply; supply chain; upstream
• Constructing Calculus Concepts through Worksheet Based Problem-Based Learning Assisted by GeoGebra Software by Yerizon, .; Arnawa, I Made; Fitriani, Nisa; Tajudin, Nor'ain Mohd (2022) - The work of LKPD-PBL-G started with student activities to observe and assess LKPD-PBL-G from the cover page and instructions for use. Analysis of difficulty learning calculus subject for mathematical education students. Keywords: calculus; concepts; education; geogebra; journal; learning; lkpd; mathematics; pbl; problem; results; solving; students; use
• Evaluation of Hybrid Learning in the University: A Case Study Approach by Kurniawan, Yohannes; Karuh, Cinthia Sabrina Yulanthari; Ampow, Michelle Kirsten; Prahastuti, Mutiara; Anwar, Norizan; Cabezas, Diego (2022) - Through Binusmaya, students can view dashboard activities that contain the performance and progress of student learning that is taking place in the current semester. Furthermore, hybrid students were dissatisfied with their overall results, and students pursuing full-time online courses outperformed hybrid students. Keywords: binus; effectiveness; home; hybrid; journal; learning; learning method; method; online; performance; skills; students; study; university
• Exploring Managers' Skills Affecting Dynamic-Innovative Capabilities and Performance in New Normal Era by Rakangthong, Neeranat K.; Hareebin, Yuttachai; Dowpiset, Kitikorn; Jutidharabongse, Jaturon; Aujirapongpan, Somnuk (2023) - The components consisted of systematic consideration through the following causes: necessary skills; professional skills, work skills, and emotional skills, mediator variables; dynamic capabilities, and organizational performance. For this research, it focuses on the variables related to conceptual and theoretical components of work skills as follows: • Planning Skills It is a process of analysis covering future assessment and consideration of desired objectives, potential environmental states, alternative development for purposive achievement, and alternation of various choices Keywords: capabilities; capability; development; innovative; international; journal; knowledge; learning; management; managers; new; organization; performance; research; resource; skills; work; work skills
• Are Activation Teaching Methods Really Effective? by Gabrhelová, Gabriela; Čepelová, Slávka (2022) - We proved through a pedagogical experiment of a longitudinal nature that activation teaching methods are really effective in teaching technical subjects at secondary vocational schools, while within the framework of that pedagogical experiment it was proved that it is possible to apply activation teaching methods very effectively in the so-called flipped classroom model, which we present as suitable for effective activation teaching of secondary school pupils. Activation teaching methods not only complement the educational process appropriately but, above all, attract the attention of pupils and draw them into the lesson. Keywords: activation methods; activation teaching; application; assessment; boys; control; education; effectiveness; experiment; girls; group; journal; learning; pupils; research; results; school; subject; teacher; teaching methods; technical; use; year
• Development of an Algorithm for Multicriteria Optimization of Deep Learning Neural Networks by Alexandrov, Islam A.; Kirichek, Andrey V.; Kuklin, Vladimir Z.; Chervyakov, Leonid M. (2023) - Thus, a self- configuring co-evolutionary algorithm for multicriteria optimization was developed, which outperforms the optimization algorithms included in it as components in solving test problems of multicriteria optimization and practical problems. The non-dominated sorting procedure was proposed for use in multicriteria evolutionary algorithms as part of the NSGA algorithm Keywords: algorithm; learning; mnist; multicriteria; number; optimization
• Deep Learning: A Study of Pattern Recognition for Personalized Clothing by Zhao, JIng; Zhu, Hongdi; Liu, Bing (2023) - Abstract Objectives: This article aims to enhance the efficiency of clothing recognition and retrieval by implementing deep learning algorithms for personalized clothing pattern recognition. Personalized clothing pattern recognition is an image recognition problem, and with the advancement of deep learning technology Keywords: algorithm; clothing; dataset; figure; learning; network; pattern; recognition; yolov4; yolov4 algorithm
• Analysis of Factors Influencing Online Learning Using the Decision Tree Method by Li, Xiaojie; Tang, Huili (2024) - [8] predicted the dropout rate of college students through the decision tree and regression model, conducted experiments on student data from a private university in Malaysia, and found that the decision tree method obtained a classification performance of 89.49%, i.e., the method was effective in predicting the at-risk students accurately. Facing a long course in the process of online learning, higher education students might stop learning online due to a lack of time and patience, which led to interruption of learning progress. Keywords: c4.5; classification; course; data; education; factors; learning; method; number; online; progress; students
• Social Media, Knowledge Management, and Learning in Farmer Innovation by Xie, Guihua; Su, Xiaofeng; Huang, Meijiao (2024) - Given the positive role of social media in knowledge management, new professional farmers can learn to use social media tools to strengthen the acquisition, integration, and utilization of agricultural innovation knowledge through self-study, attending training classes, or learning from peers, and improving their agricultural innovation knowledge reserves. The framework identified three critical capabilities and associated resources, HighTech and Innovation Journal Vol. 5, No. 2, June, 2024 305 including social media management for coordinating activities across innovation stages, executive leadership for fostering support and enabling agile decision-making, and flexible processes facilitating rapid knowledge dissemination and experimentation. Keywords: ability; community; embedding; farmers; information; innovation; innovation ability; innovation journal; journal; knowledge management; learning; media; network; network community; network media; new; orientation; research; role; study; technology; use
• Assessment of the Perceptions of Pre-service Teachers towards Practical Work in the Context of Scientific-technological Literacy by Aragón, L. (2020) - Available online at www.HighTechJournal.org HighTech and Innovation Journal Vol. 1, No. 3, September, 2020 121 Assessment of the Perceptions of Pre-service Teachers towards Practical Work in the Context of Scientific-technological Literacy L. Aragón a* a Faculty of Education, Universidad de Cádiz, Puerto Real, 11519 Cádiz, Spain. Abstract This research aims to analyze the perceptions of future preschool teachers towards the application of practical work. Keywords: education; future; learning; research; school; science; students; teachers; teaching; work
• Towards Bayesian Quantification of Permeability in Micro-scale Porous Structures – The Database of Micro Networks by Fazelabdolabadi, Babak; Golestan, Mohammad Hossein (2020) - List of Abbreviations AO Assortativity of directed network AOU Assortativity of undirected network AS Kleinberg's authority centrality scores of directed network ASU Kleinberg's authority centrality scores of undirected network CE Centrality of directed network CEU Centrality of undirected network CFD Computational Fluid Dynamics DAG Directed Acyclic Graph DE Degree of directed network DEU Degree of undirected network DI Diameter of directed network DIU Diameter of undirected network DMN Database of Micro Networks DMN-C Database of Micro Networks for Carbonate images DMN-S Database of Micro Networks for Sandstone images ED Edge density of directed network EDU Edge density of undirected network GO Number of clusters in directed network obtained from the greedy optimization of modularity clustering criteria GOU Number of clusters in undirected network obtained from the greedy optimization of modularity clustering criteria HS Kleinberg’s hub centrality scores of directed network HSU Kleinberg’s hub centrality scores of undirected network KC K-core decomposition of directed network KCU K-core decomposition of undirected network LBM Lattice Boltzmann Method LE Length of image (m) LS Logic sampling LV Number of clusters in directed network obtained from the optimization of modularity clustering criteria LVU Number of clusters in undirected network obtained from the optimization of modularity clustering criteria LW Likelihood weighting NG Number of clusters in directed network obtained from the edge betweenness clustering criteria NGU Number of clusters in undirected network obtained from the edge betweenness clustering criteria PE Absolute Permeability (Darcy) PNM Pore Network Model PO Porosity of image RW Number of clusters in directed network obtained from the short random walks clustering criteria RWU Number of clusters in undirected network obtained from the short random walks clustering criteria SPH Smoothed Particle Hydrodynamics TR Transivity of directed network TRU Transivity of undirected network 7. Keywords: bayesian; clustering; dmn; flow; images; journal; learning; micro; network; parameters; permeability; pore; scale; structure
• Boundaries and Future Trends of ChatGPT Based on AI and Security Perspectives by Alsumayt, Albandari; Alfawaer, Zeyad M.; El-Haggar, Nahla; Alshammari, Majid; Alghamedy, Fatemah H.; Aljameel, Sumayh S.; Alabbad, Dina A.; Aldossary, May Issa (2024) - They instructed ChatGPT to generate 21 programs in five different programming languages, specifically chosen to highlight risks Security in ChatGPT Challenges in ChatGPT Security mechanisms to improve security level in ChatGPT ChatGPT future based on AI Future trends in ChatGPT based on AI and Security perspective Ethical Implications and Recommendations of ChatGPT AI Based on Security HighTech and Innovation Journal Vol. 5, No. 1, March, 2024 132 associated with specific vulnerabilities. 7. Ethical Implications and Recommendations of ChatGPT AI Based on Security The discussion of ethical considerations is necessary due to the wide array of potential applications for ChatGPT, an emerging technology with numerous possible uses. Keywords: attacks; chatgpt; cybersecurity; data; information; journal; language; learning; models; potential; privacy; risks; security; technology; training
• Cryptocurrency Forecasting Using Deep Learning Models: A Comparative Analysis by Bourday, Rachid; Aatouchi, Issam; Kerroum, Mounir Ait; Zaaouat, Ali (2024) - The findings indicated that the Multi-Transformer and Transformer layer- based models were more accurate and provided more appropriate measures for forecasting compared to other algorithms, including those based on feed-forward layers or LSTM models. The Transformer with SVR performs better than the ANN and LSTM models, but not as well as XGboost. Keywords: accuracy; bitcoin; cryptocurrency; data; forecasting; hybrid; learning; lstm; mae; models; prediction; price; rmse; time; transformer
• Contextual Semantic Embeddings Based on Transformer Models for Arabic Biomedical Questions Classification by Ait Talghalit, Ismail; Alami, Hamza; El Alaoui, Said Ouatik (2024) - The results confirm that transformer-based models are better for Arabic biomedical question classification because of their capacity to collect complex contextual data of text. However, mBERT, XLM-RoBERTa, and multilingual DistilBERT provided equally promising results for Arabic biomedical question classification. Keywords: arabert; arabic; bert; classification; dataset; diseases; distilbert; information; journal; language; learning; medical; models; question; text; token; transformer
• Learner Assessment System in e-Learning with OBE Approach: Activity Performance, Ability Level and Recommendation by Yuniarti, Wenty D.; Hartati, Sri; Priyanta, Sigit; Surjono, Herman D. (2024) - In addition to ability level data, activity performance data is obtained in each LLO stage, including five variables: frequency of attendance (𝑝1), duration of attendance (𝑝2), frequency of access to material (𝑝3), number of posts to the forum (𝑝4), and activity conformance (𝑝5). Exploration and measurement: The extracted and formatted event log data is then explored and measured to obtain activity performance values. Keywords: ability; assessment; learning; performance; 𝐴 𝑉𝐺; 𝐸 𝐺; 𝐺 𝐴; 𝐺 𝐺; 𝐺 𝑂𝑆; 𝐺 𝑉𝐼; 𝐿1 𝐿2; 𝐿10 𝐿11; 𝐿11 𝐿12; 𝐿12 𝐿13; 𝐿19 𝐿20; 𝐿2 𝐿3; 𝐿3 𝐿4; 𝐿4 𝐿5; 𝐿5 𝐿6; 𝐿8 𝐿9; 𝐿9 𝐿10; 𝑆 𝐺; 𝑉𝐺 𝐸; 𝑉𝐺 𝑆; 𝑉𝐺 𝑉𝐺; 𝑉𝐼 𝑉𝐼
• Effect of Artificial Intelligence (AI) on Financial Decision-Making: Mediating Role of Financial Technologies (Fin-Tech) by Qatawneh, Adel M.; Lutfi, Abdalwali; Al Barrak, Thamir (2024) - The influence of number line estimation precision and numeracy on risky financial decision making. Algorithms of machine learning have the ability to deal with and analyze large volumes of financial data to identify potential patterns and investment opportunities. Keywords: algorithms; data; decision; finance; industry; intelligence; journal; learning; making; process; research; risk; sector; study; tech; technologies; technology

• Local Economic Autonomy and Enterprises’ Green Total Factor Productivity: A Policy Substitution Perspective by Wang, Long (2025) - To prevent the incomplete construction of indicators that might result in biased estimations of the intensity of government environmental regulations, this study measured government environmental regulations based on their direct outcomes. Economic Autonomy (AUTO) Constructing a comprehensive indicator of local government autonomy poses significant challenges, as it requires accounting for multiple factors such as political and economic considerations, as well as the weighting assigned to these factors. Keywords: autonomy; decentralization; development; economic; effect; enterprises; governments; green; gtfp; impact; innovation; policy; regulation; science; support; technology
• Techno-Economic Evaluation of Carbon Capture and Storage for Combined Cycle Power Generation by Rahmanta, Mujammil Asdhiyoga; Cahyo, Nur; Ruly; Hapsari, Tiva Winahyu Dwi; Supriyanto, Eko; Triani, Meiri (2025) - 𝐶𝑜𝑠𝑡 𝑜𝑓 𝐶𝑂2 𝑎𝑣𝑜𝑖𝑑𝑒𝑑 = ( (𝐿𝐶𝑂𝐸)𝑐𝑐𝑠−(𝐿𝐶𝑂𝐸)𝑟𝑒𝑓 (𝐶𝑂2 𝑒𝑚𝑖𝑠𝑠𝑖𝑜𝑛)𝑟𝑒𝑓−(𝐶𝑂2 𝑒𝑚𝑖𝑠𝑠𝑖𝑜𝑛)𝑐𝑐𝑠 ) (3) where: LCOEccs is LCOE NGCC CCS (USD/kWh), LCOEref is LCOE NGCC (USD/kWh) Variable O&M (base plant) Fuel cost (base plant) Annual capital cost (base plant) Fixed O&M (CCS) Variable O&M (CCS) Annual capital cost (CCS) National weighted HighTech and Innovation Journal Vol. 6, No. 2, June, 2025 423 𝐶𝑜𝑠𝑡 𝑜𝑓 𝐶𝑂2 𝑐𝑎𝑝𝑡𝑢𝑟𝑒𝑑 = ((𝐿𝐶𝑂𝐸)𝑐𝑐𝑠−(𝐿𝐶𝑂𝐸)𝑟𝑒𝑓) 𝐶𝑂2𝑐𝑎𝑝𝑡𝑢𝑟𝑒𝑑 𝑖𝑛 𝐶𝐶𝑆 𝑡𝑒𝑐ℎ𝑛𝑜𝑙𝑜𝑔𝑦 (4) where: LCOEccs is LCOE NGCC CCS (USD/kWh), LCOEref is LCOE NGCC (USD/kWh), The amount of CO2 captured in CCS systems is calculated as the variation in CO2 emissions observed prior to and following the implementation of the capturing process (t CO2/kWh). Keywords: available; block; capture; carbon; ccs; ccs block; co2; cost; co₂; efficiency; emissions; energy; figure; gas; indonesia; journal; kwh; lcoe; ngcc; ngcc ccs; online; plant; power; technology; usd
• Analysis of Success Factors for Green IT Implementation in Higher Education by Yudatama, Uky; Setiawan, Agus; Sukmasetya, Pristi (2025) - Theoretical Implications The results of this study contribute to Green IT theory and technology management in educational institutions in several ways: Mapping Factors in a Structured Hierarchy: This study uses Interpretive Structural Modeling (ISM) to map the relationships between key Green IT factors in a structured hierarchy, which has not been widely done in the context of Indonesian higher education.  How can ISM help in identifying the hierarchy and prioritization of Green IT success factors in the higher education sector? Keywords: awareness; education; factors; green; implementation; indonesia; influence; ism; management; policies; relationship; set; study; support; sustainability; system; technology
• Innovation Process and a Model for HighTech Companies within an Industrial District by Aydin Uzun, Dilan; Baykara, Tarik (2025) - Areas In Which Companies Operate Areas of high tech in which companies operate Companies within IDOIZ Electronic-Electrics Entes, Assan Elektronik, Mertech Automation, Autonomous Vehicle systems Adastec, Asis Otomasyon Advanced Materials Sinter Metal Nanotechnologies Quantag Satellite, Telecom Satelcom Manufacturing Machinery “Company A” During the study, a structured interview, one of the qualitative research techniques, was conducted with the managerial levels of the selected companies. It is a highly critical subject, considering it brings social and economic changes, especially with its function and role in high technology fields. Keywords: companies; company; development; field; indicators; innovation; journal; new; personnel; process; products; r&d; research; study; system; tech; tech companies; technology; technology innovation
• A Systematic TOGAF-Driven Framework for Blockchain-Based Food Traceability with Access Control Lists by Oak Kyaw Zaw, Thein; Anbananthen, Kalaiarasi Sonai Muthu; Muthaiyah, Saravanan; Balasubramaniam, Baarathi; Kannan, Rajkumar; Kalid, Khairul Shafee; Yusoff, Yunus; Mohammad, Suraya (2025) - This highlights a potential research gap, where the combination of TOGAF, blockchain, and ACLs could be further explored to enhance food traceability frameworks, particularly regarding security, scalability, and enterprise-wide adoption. To facilitate such comparisons, future research can evaluate food traceability frameworks based on data accuracy, usability, scalability, security, and operational efficiency. Keywords: access; architecture; blockchain; business; data; food; food supply; food traceability; framework; information; phase; security; stakeholders; supply; system; technology; togaf; traceability; transparency
• Digital Transformation in Higher Education: Enhancing Support Services Through Mobile Apps by Subbarao, Anusuyah; Khan, Nasreen; Siddika, Aysa; Fathullah, Muhammad A.; Sanwani, Mohd A.; Adam, Fia F.; Ferezagia, Debrina V.; Altamira, Melisa B. (2025) - 2. I am glad if campus support mobile apps is available whenever I need them. Using campus support mobile apps will enhance my effectiveness in managing academic tasks. Keywords: apps; campus; campus support; data; education; generation; journal; mobile; privacy; services; students; study; support; support services; technology; use
• Virtual Reality Tourism: Connecting Immersive Experiences to Future Travel Choices by Zhou, Lei; Zhou, Huaqing; Cui, Xiaotang; Zhao, Jing (2025) - Building on this foundation, it can be demonstrated that virtual tourism experiences generate both utilitarian and hedonic benefits through different experiential mechanisms. Primarily, within virtual tourism experiences, the cognitive processing of advantages operates distinctly from behavioral intentions, attributed to the experiential nature of VR technology. Keywords: destination; enjoyment; experience; immersive; intention; journal; pad; prea; reality; research; study; technology; tlp; tourism; vaq; vis; vr tourism; vrex
• Assessing the Impact of Digitalization and Technology on Patient Compliance in Healthcare Services by Planel-Ratna, Catriona; Juwaheer, Thanika Devi (2021) - Because patient compliance is a determinant of the treatment outcome, it is therefore essential for medical staff to know and understand how technology can cause patients to rightly or poorly adhere to their treatment. The objectives of this research were to investigate the major technology-related factors, which affect patient compliance, assess patients` reactions which are associated to poor adherence to treatment and determine the right measures, attitudes and behaviors for healthcare professionals to adopt to optimize patient compliance. Keywords: compliance; healthcare; journal; medical; online; patient; research; services; study; technology; treatment
• Digital Transformation: Smart Strategy in Administrative Reform in Vietnam by Thanh, Nguyen Hai (2021) - In particular, the human resources lack digital skills, lack a robust enough information technology platform to enable digital transformation, lack of digital thinking, or challenges in terms of organizational culture and digital transformation model consistent with the current scale [2]. Abstract Objectives: Digital transformation is becoming such a big trend that countries worldwide cannot resist because it brings prosperity and development to social progress. Keywords: administrative; agencies; aspect; coefficient; digital; government; level; reform; results; state; technology; test; transformation; vietnam
• The Use of Zipline Drones Technology for COVID-19 Samples Transportation in Ghana by Lamptey, Emmanuel; Serwaa, Dorcas (2020) - This paper presents a narrative study on the use of Zipline drones for transporting samples of suspected COVID-19 patients, highlighting the challenges and potential barriers encountered. Although Zipline drones are autonomous, they are still supervised and managed by humans when needed [8]. Keywords: covid-19; drones; ghana; health; samples; technology; testing; zipline
• Implementation of Information and Communication Technology for Human Rights Awareness and Promotion by Sharma, Gajendra (2020) - Information and Communication Technologies (ICTs) have proved an influential tool in the fight against violations of human rights. ICT has long represented a way to strengthen human rights. Keywords: communication; freedom; icts; information; internet; people; rights; society; technologies; technology
• Enterprise Architecture: Enabling Digital Transformation for Operational Business Process during COVID-19 by Hardi, Kori Viony; Legowo, Nilo (2023) - Ensure that organizational procedures and governance are consistent with business architecture, data, applications, and technology. Keywords: Enterprise Architecture; TOGAF ADM; Digital Transformation; COVID-19. Keywords: application; architecture; author; business; company; covid-19; data; department; digital; enterprise; enterprise architecture; figure; framework; information; journal; project; research; sales; system; technology; togaf; transformation
• Development, Service-Oriented Architecture, and Security of Blockchain Technology for Industry 4.0 IoT Application by Singh, Satyanand; Rosak-Szyrocka, Joanna; Tamí ndl, László (2023) - It aids in safeguarding various blockchain network transactions. Blockchain networks are already in place to protect personal data. Keywords: applications; bitcoin; blockchain; blockchain technology; consensus; contract; data; doi:10.1109; energy; ethereum; hash; ieee; industrial; industry; information; innovation; internet; journal; march; network; new; nodes; security; supply; system; technology; things; transaction; use
• On the Role of Ethics in Shaping Technology Development by Vargas-Elizondo, C. (2020) - Digital technologies are part of the fabric of daily life and, as they give rise to a new layer of physical and biological technologies, it is paramount to consider the ways that newer technologies emerging atop them are extending capabilities beyond the immediate functionality of being able to transmit, store, and process exponentially greater amounts of data [17]. Three main trends are considered here: a) demographic changes worldwide and the pressure posed on health services; b) the fall down in costs in genome sequencing and other related biotechnological techniques of great impact in health; and c) the expected impact of new technologies on health and healthcare, including “internet of things (IoT), wearables, sensors, big data, artificial intelligence (AI), augmented reality (AR), nanotechnology, robotics, and 3D printing. Keywords: available; design; development; ethics; fourth; human; industrial; innovation; new; process; revolution; science; system; technologies; technology; use; values; world
• Enhancing Trustworthiness and Interoperability of Electronic Voting Systems through Blockchain Bridges by Rexha, Blerim; Neziri, Vehbi; Dervishi, Ramadan (2023) - Blockchain bridges enable the transfer of assets or data between different blockchain networks without the need for a centralized intermediary.  Scalability: Blockchain bridges can be limited in terms of scalability, as the transfer of data or assets between different blockchain networks can be time-consuming and resource-intensive. Keywords: assets; blockchain; blockchain bridges; blockchain interoperability; blockchain networks; blockchain technology; bridge; data; interoperability; security; systems; technology; transfer; voting
• Adoption of Blockchain Technology in Healthcare Supply Chain Management: A Review by Niesya, Nazatul; Sayeed, Md Shohel (2024) - Study Type, Domain, and Technology Blockchain's dominance in managing healthcare drug supply chains was evident, with a majority of respondents (n=3, 43%) recognizing its significance among other applications. In this review paper, we will examine the existing literature on this field, critically evaluate the opportunities and challenges associated with the adoption of blockchain technology in healthcare supply chain management during the COVID-19 pandemic as well as in the daily basis. Keywords: blockchain; blockchain technology; blood; challenges; data; drug; healthcare; journal; management; research; supply; supply chain; system; technology; traceability; vaccine
• Advancing Healthcare Security: A Cutting-Edge Zero-Trust Blockchain Solution for Protecting Electronic Health Records by Benaich, Rihab; El Mendili, Saida; Gahi, Youssef (2023) - The findings highlight a crucial trade-off between security and performance in healthcare data systems. The authors focused on developing an efficient Blockchain-based architectural framework for storing electronic health record data in Big Data storage systems. Keywords: access; authors; blockchain; blockchain technology; contract; data; ehr; ehrs; encryption; ethereum; figure; framework; gas; health; healthcare; information; integrity; management; patient; privacy; proof; records; security; system; technology
• Comprehensive Review of the Impact of Advanced Technology Adoption on Work and Continuous Improvement by Momin, Mujtaba M.; Ali, Omar (2023) - Though the necessity of being accessible or linked via digital devices, as well as a new distribution of tasks between personnel and technology, is frequently documented in research studies and surveys, our study coagulates those studies with distinct technologies and proposes that the effect on those connectivities is significant and synchronized. Though investigations have hinted at the need for workload studies, there have to be detailed investigations pertaining to specific technologies, and that is too contextual, which highlights distinct operational verticals and work processes. Keywords: articles; data; future; impact; information; job; journal; literature; management; new; research; review; role; studies; study; systems; technologies; technology; work
• Seismic Optimization Design and Application of Civil Engineering Structures Integrated with Building Robot System Technology by Li, Shaoxu; Shen, Lisen (2024) - 𝑐𝑜𝑢𝑛𝑡_𝑚𝑎𝑥 (𝑠, 𝑣) 𝜒𝑘 is associated with the building civil engineering structure seismic optimization monitoring routing itself, and 𝑇𝑎𝑔(𝑘) = 0. 1. Introduction Building safety and resistance against seismic occurrences are increasingly dependent on seismic optimization design in civil engineering constructions. Keywords: algorithm; building; construction; data; design; displacement; distribution; engineering; figure; journal; method; optimization; robot; structures; system; technology
• The Benefits of a Convergence between Art and Engineering by Innella, Giovanni; Rodgers, Paul Anthony (2021) - That is why, it is reasonable to encourage computer programmers, engineers, scientists to dedicate some of their time to art projects. It is commonplace for art schools not to include engineering courses in their curricula. Keywords: art; artists; arts; design; education; engineering; humanities; march; science; students; technology; work; world
• Workhorse or White Elephant? End User Acceptance of ERP System in a Shared Service Center by Subbarao, Anusuyah; Khan, Nasreen; Ramli, Muhammad A.; Siddika, Aysa (2023) - The study’s key findings include the significant positive association between performance expectancy and ERP system adoption, reinforcing the influence of effort expectancy on technology adoption. Additionally, it was observed that ERP system adoption was consistently facilitated by organizational support. Keywords: acceptance; adoption; effort; end; erp; erp systems; erps; expectancy; influence; information; journal; management; performance; research; study; support; systems; technology; user
• Qualitative System Dynamics Model for Analyzing of Behavior Patterns of SMEs by Haji Gholam Saryazdi, Ali; Poursarrajian, Dariush (2021) - In R3 loop, by growing market SME reaches to market diverse needs and even which had no customer in limited market, finds demand. Figure 1 shows interaction of key elements of parks and technology incubators centers, with knowledge based SME’s which are located in the parks. Keywords: development; idea; innovation; knowledge; loop; market; park; r&d; science; sme; technology
• Relationship of Smart Cities and Smart Tourism: An Overview by Habeeb, Nada Jasim; Weli, Shireen Talib (2020) - The development of smart tourism cities is mainly supported by the continuous development of artificial intelligence technologies, the Internet of things, and smart networks. The aim of the study is to review the recent literature on smart cities and smart tourism and their roles in achieving a sustainable tourism sector and enhancing the competitiveness of the country’s tourism sector by making it more developed and modern. Keywords: cities; city; communication; development; doi:10.1016; information; internet; services; technology; things; tourism
• The Measurement of Blockchain Technology in Financial Reports in Commercial Banks by Zaqeeba, Nidal; Alqudah, Hamza; Rawashdeh, Badi S.; Lutfi, Abdalwali; Alrawad, Mahmaod; Almaiah, Mohammed A. (2024) - The Central Bank of Jordan worked to implement the necessary changes at the level of legal frameworks and regulatory practices to support the use of contemporary financial technology and electronic transactions and improve the capacity of banks and financial institutions to manage risks associated with financial technology (Fintech) and risks [19, 20]. Cyber technology is activated with a focus on developing a financial culture and boosting awareness of its use, and that assists banks in better preparing to utilize financial technology for services and business [21]. Keywords: banks; blockchain; blockchain technology; data; deposits; journal; lutfi; m. a.; reporting; research; roa; study; technology
• Use of Blockchain Technology in Energy Banking and Electricity Markets by Jain, S. K.; Khandelwal, Paresh; Agarwal, P. K. (2021) - The proposed model of energy banking encrypted with blockchain technology will pave the way for future smart contracts and carry out energy banking transactions in a more reliable, secure, and assured manner. To ensure energy banking transactions in real-time and free from the perils of financial settlements, this article suggests the use of the Peer-to-Peer (P2P) model of blockchain technology for executing Smart Contracts mutually agreed upon by both parties and avoiding third party overhead costs. Keywords: banking; blockchain; contracts; electricity; energy; power; price; technology; transactions; utility
• Quasi-Viral Technologies as the Drivers of the Economy Digital Transformation Towards sustainability by Melnyk, Leonid; Vasa, László; Singh, Satyanand; Kubatko, Oleksandr; Kalinichenko, Lyudmila (2025) - According to Brawn and Wield, green technology innovation refers to production and manufacturing techniques that can reduce the use of resources like energy and raw materials as well as pollution of the environment [9]. Most of the literature now in publication on green technology innovation also discusses environmental regulation. Keywords: available; development; digital; energy; entropy; green; industrial; information; innovation; january; journal; nature; new; processes; production; quasi; social; spread; system; technologies; technology; transition; users
• The Impact of Self-Efficacy on Telemedicine Adoption in Emerging Country by Hoonsopon, Danupol; Ketkaew, Chaninun; Puriwat, Wilert; Viriyasitavat, Wattana; Tripopsakul, Suchart (2025) - However, these studies do not emphasize understanding how three sources of self-efficacy, namely, enactive mastery (EM), vicarious experience (VE), and verbal persuasion (VP), affect telemedicine adoption (TA) through perceptions of telemedicine technology. Not Supported H6: Perceived usefulness has a positive impact on telemedicine adoption 0.848*** 11.888 Supported Notes: *p <0.1; **p <0.05; ***p < 0.01 The influence of the three sources of self-efficacy—enactive mastery, vicarious experience, and verbal persuasion— on telemedicine adoption is examined through two key perceptions of telemedicine technology: perceived ease of use and perceived usefulness. Keywords: adoption; ease; efficacy; experience; impact; mastery; persuasion; self; study; technology; telemedicine; telemedicine adoption; use; usefulness

• A Novel Cost-Effective Unmanned Ground Vehicle Platform for Robotics Education by Corpuz, Clyde Sanmig Domin D.; Cuaycong, Gilroy A.; Diño, Raffaello Giuliano D.; Estacio, Raphael C.; Señar, Gregg Angelo C.; Chua, Alvin Y. (2025) - While both studies addressed material selection and UGV structural design, Korunović et al. (2024) The difference in materials, loading conditions, and application contexts illustrates the intricate trade-offs between material choice, weight reduction, and structural integrity in UGV chassis design, providing the audience with a comprehensive understanding of these complexities. Keywords: aluminum; authors; components; control; cost; curriculum; design; education; figure; frame; gps; hightech; innovation; journal; kits; march; modules; performance; petg; platform; robotics; safety; sensor; software; students; study; system; ugv; unit; vol
• Implementation of Boost PFC in the Induction Heating System for EMI–RFI Suppression by Raman, Rahul; Baruah, Debanga Jyoti; Dey, Saurav; Neog, Padmini; Saharia, Kritika Taniya (2021) - Therefore, switching at high frequency has the intense drawback of producing harmonic distortion as well as high frequency harmonic current, and this current results in manipulating the power quality by flowing towards its supply side. Again, as a result of skin effect, at high frequency current is confined in the outer part of the work piece. Keywords: boost; boost pfc; circuit; current; doi:10.1109; frequency; harmonics; heating; induction; input; pfc; power; system
• Application of HyMethShip Propulsion using On-board Pre-combustion Carbon Capture for Waterborne Transport by Wermuth, Nicole; Zelenka, Jan; Moeyart, Paul; Aul, Abhijit; Borgh, Martin (2021) - Compared to the next best available marine engine technology, i.e. methanol combustion and post-combustion carbon capture, the HyMethShip system is estimated to show more than 40 % higher system efficiency The HyMethShip concept will also allow to utilize a different kind of dual-fuel engine where methanol combustion is used for redundancy. Keywords: co2; combustion; concept; emissions; engine; fuel; hydrogen; hymethship; methanol; operation; requirements; system; tank; vessel
• Feasible Evaluation of Shunt Active Filter for Harmonics Mitigation in Induction Heating System by Raman, Rahul; Dutta, Subrata Kumar; Sarmah, Priya; Das, Mrigakshi; Saikia, Amarjit; Sadhu, Pradip Kumar (2021) - The simplified control of three-phase four-leg shunt active power filter for harmonics mitigation, load balancing and reactive power compensation. A design method of LCL-filter for three-phase shunt active power filter. Keywords: control; current; filter; harmonics; heating; input; inverter; power; reference; saf; shunt; system; voltage
• Towards the Internet of Behaviors in Smart Cities through a Fog-To-Cloud Approach by Salis, Antonio (2021) - With this approach the end user could be recognized and managed even while moving across different fog areas, thus enabling the collection of more behaviours and making the ML algorithms more effective. design oriented to set of microservices For sure the deployment of the mF2C system and all the airport features and capabilities listed above demonstrated interesting business opportunities, but more relevant the hierarchical structure of the mF2C makes easy to merge different fog areas through the cloud, and let them works together, with the mF2C acting as the glue that interconnects all system components [20]. Keywords: agent; airport; cloud; computing; data; edge; figure; fog; iob; mf2c; processing; smart; system; time; use; user
• Ab-initio Study of Structural and Electronic Properties of Perovskite Nanocrystals of the CsSn[Br1−xIx]3 Family by Nematov, D. D.; Kholmurodov, Kh. T.; Yuldasheva, D.А.; Rakhmonov, Kh. R.; Khojakhonov, I. T. (2022) - [11] Marques, M. A. L., Oliveira, M. J. T., & Burnus, T. (2012). Electronic band structures of (a) CsSnBr3, (b) CsSnBr2I, (c) CsSnBrI2 and (d) CsSnI3. Keywords: band; cssni3; density; energy; figure; journal; materials; properties; system
• Innovative Blade Trailing Edge Flap Design Concept using Flexible Torsion Bar and Worm Drive by Ha, Kwangtae (2020) - Schematic diagram of application to flexible trailing edge flap system on rotor blade The equilibrium equation of the flap device at hinge location O shown in in Figure 6 becomes 𝑇 + 𝑀𝑎𝑒𝑟𝑜(𝛼, 𝜃, 𝛺) = Xh: Distance of center of starbeam from aerodynamic center; Figure 6. (a) Aerodynamic force distribution; (a) and (b) deformed cross-sectional shape of flexible trailing edge flap system 5. Keywords: bar; blade; edge; flap; gear; system; trailing; worm
• The Factors Affecting Innovative Behavior: An Employee Assessment System Based on Knowledge Creation by Rattanawichai, Natineeporn; Wiriyapinit, Mongkolchai; Khlaisang, Jintavee (2023) - A review of employee innovative behavior in services. The CFA eight-factor model for the promotion of organizational innovative behavior [21] On the basis of the data gathered via the survey, the eight-factor model was confirmed to be a good fit. Keywords: behavior; culture; employees; factors; innovation; journal; knowledge; management; organizations; research; sharing; support; system
• Finger Vein Template Protection with Directional Bloom Filter by Teng, Jackson Horlick; Ong, Thian Song; S. M. A., Kalaiarasi; Tee, Connie (2023) - Analysis shows that the proposed method meets the four properties of biometric template protection. Although BF has been used previously for biometric template protection, the DBF proposed in this study is an enhanced version that utilizes multiple instances of biometric data to generate a hash vector that takes into account the row, column, and diagonal subblocks of a feature set. Keywords: biometric; block; bloom; dbf; eer; feature; filter; finger; fusion; image; method; protection; system; template; vein; 𝐷𝑠𝑦𝑠
• Preventing Impaired Driving Using IoT on Steering Wheels Approach by Abdul Razak, Siti Fatimah; Yogarayan, Sumendra; Ullah, Arif (2024) - Similarly, previous work on vehicle-based counter measures for driver alcohol detection systems utilized BAC to determine a person’s alcohol level. The block diagram in Figure 3 represents the hardware connections and communication flow of the system, which includes various components such as an Arduino Uno microcontroller, MQ3 alcohol sensor, MAX30102 heart rate sensor, relay switch, L298N motor driver module, DC motor, GSM/GPS module (SIM9000A), and ESP8266 Wi-Fi module. Keywords: alcohol; brac; detection; driver; driving; heart; heart rate; journal; mq3; rate; road; sensor; system; vehicle
• Improving Sensing Measurements Using Laser Self-Mixing Interference in Non-Line-of-Sight Optical Communication via Systems by Lu, Sichen; Guo, Changying (2024) - Combining the characteristics of UV channels, a channel estimation algorithm suitable for UV optical communication systems is selected, and relevant simulations are carried out. Theoretical studies have shown that the channel capacity of UV optical communication systems is between 100kb and 400kb in the non-visual range case. Keywords: channel; code; communication; device; estimation; frame; interference; laser; laser self; light; line; measurement; parallel; self; sequence; signal; synchronization; system
• Spatial-Temporal Characteristics of Green Development Level in River Basin by Zhou, Ying; Tian, Huan; Hu, Dan; Hu, Huimin; Shen, Qiong (2024) - Then Gray Correlation-Topsis evaluation model was used to measure green development level from 2009 to 2020. This paper analyses the actual obstacles and excellent achievements in the process of green development, and strengthens the research on the differences in green development levels in Tuojiang Basin. Keywords: basin; cities; development; development level; economy; green; green development; journal; level; pollution; quality; resources; system; tuojiang basin; urban; water
• Elbow-Hand Robotic Exoskeletons for Active and Passive Rehabilitation on Post-Stroke Patients: A Bioengineering Review by Vargas, Mariela; Vasquez, Y.; de la Barra, Daira; Charapaqui, Sandra; Tapia-Yanayaco, P.; Maldonado-Gómez, R. R.; Mendoza-Arias, L. M.; Altatorre, Almendra; Ccellccaro, Cristina; Bedoya-Castillo, M.; Charapaqui, Renzo; Nacarino, A.; Rivera, Milton V.; Palomares, Ricardo; Ramirez-Chipana, M.; Cornejo, Jorge; Cornejo, José; de la Cruz-Vargas, Jhony A. (2024) - [70] Franck, J. A., Smeets, R. J. E. M., & Seelen, H. A. M. (2019). [28] Gopura, R. A. R. C., Bandara, D. S. V., Kiguchi, K., & Mann, G. K. I. (2016). Keywords: active; elbow; exercises; exoskeleton; hand; hand rehabilitation; journal; limb; motor; movement; patients; post; rehabilitation; rer; robotic; spasticity; stroke; stroke patients; system; therapy; training; use
• A Smart IoT Urban Flood Monitoring System Using a High-Performance Pressure Sensor with LoRaWAN by Te, Matthew Christian L.; Bautista, Joaquin Antonio T.; Dimacali, Shaquille Michael Edward V.; Lood, Angelo Victor M.; Pangan, Marina Graciella M.; Chua, Alvin Y. (2024) - To calculate the difference in water level between the outside and inside of the tube during a flood, Equation 2, which is used for open-ended U-tube manometers, can be used: HighTech and Innovation Journal Vol. 5, No. 4, December, 2024 921 ℎ1 = 𝑃 − 𝑃𝑎 𝜌𝑔 (2) where h1 denotes the water level difference, P is the pressure inside the tube when flood waters are present which can be obtained using the pressure sensor within the tube, Pa is atmospheric pressure, ρ is water density which is assumed to be a constant 1000 kg/m3, and g is acceleration due to gravity which is a constant 9.81 m/s2. 𝑙2 = 𝑃𝑎𝑙1 𝑃 (4) 𝑉1 = 𝜋 4 𝑑2𝑙1 (5) 𝑃𝑎𝑉1 = 𝑃𝑉2 (6) where l2 is the height of water inside the tube starting from the opening, l1 is the total height of the entire tube, h2 is the height of air present within the tube, V1 is the volume of air within the tube in atmospheric pressure, V2 is the volume when the air within the tube is compressed by flood waters, and d is the diameter of the tube. Keywords: battery; data; equation; error; figure; flood; fms; height; journal; lorawan; monitoring; pressure; sensor; solar; system; tube; water
• Smart Data Placement Strategy in Heterogeneous Hadoop by Bakni, Nour-Eddine; Assayad, Ismail (2025) - Data nodes come in 4 different configuration types. Improving MapReduce performance through data placement in heterogeneous Hadoop clusters. Keywords: blocks; cluster; data; data placement; datanodes; default; hadoop; hdfs; nodes; performance; placement; policy; replication; sdps; storage; strategy; system
• Thermodynamic Analysis of a Combined Single Effect Vapour Absorption System and tc-CO2 Compression Refrigeration System by Verma, Abhishek; Kaushik, S. C.; Tyagi, S. K. (2021) - In CO2 refrigeration systems, subcooling plays an important role in upgrading the performance of the system. The mean COP improvement for CO2 refrigeration systems has been reported to be 23% with subcooling by absorption chillers Keywords: co2; cooler; cop; gas; refrigeration; system; temperature; ̇ �; � ̇
• Multi-Time Scale Coordinated Optimization of Energy Systems Under Flexible Load Response by Gao, Jinfeng; Gao, Daifeng; Xiao, Chun (2025) - Comparison of energy system operation costs before and after coordination Coordination strategy Cost classification Cost/yuan Total Pre-coordinated optimization Unit cost 204345.26 262017.86 Operation and maintenance cost 57672.6 After coordinated optimization Unit cost 155110.2 258147.92 Operation and maintenance cost 30043.55 Can reduce load cost 30212.22 Transferable load cost 11766.55 Operation and maintenance cost 31015.4 It can be seen that incorporating flexible loads into the energy system effectively reduces the peak-valley difference of system load through multi-scale energy coordination, thereby lowering the system’s total operating costs to some extent. After incorporating flexible load coordination, the difference reduced to 36.29 MW, representing a decrease of 30.78%. Keywords: ahead; coordination; cost; day; energy; energy system; intraday; load; optimization; power; scale; system; time; 𝑃cut

• Strategic Metadata Implementation: A Catalyst for Enhanced BI Systems and Organizational Effectiveness by Oktavia, Tanty; Wijaya, Eric (2025) - [28] Metadata integration architecture in enterprise data warehouse system 2010 4 Schutz & Schrefl Metadata integration architecture in enterprise data warehouse system. Keywords: bi systems; business; company; components; effectiveness; enterprise; implementation; information; journal; management; metadata; metadata management; relationship; research; study; systems; table; y y
• The Rising Cost of Cyberattacks: Trends and Impacts across Industries by Hassan, Saif Al-Deen H.; Rasheed, Ali Abulridha; Mousa, Alaa Abdulshaheed; Hussein, Zahraa Abed; Ambudkar, Bhavna (2025) - The program offers a basic framework for analyzing cybersecurity threats, which may be supplemented with more advanced algorithms and data inputs for a more thorough evaluation. A correlation matrix was created to identify associations between different types of cybersecurity incidents. Keywords: breaches; cybersecurity; data; healthcare; information; infrastructure; journal; phishing; research; risk; security; study; table; threats
• The Global Equity Market Reactions of the Oil & Gas Midstream and Marine Shipping Industries to COVID-19: An Entropy Analysis by Nasiri, Mina; Nasiri, Hamed; Nasiri, Saeid; Bitarafan, Maliheh; Fazelabdolabadi, Babak (2021) - The entropy analysis of equities in the Oil & Gas Midstream and Marine Shipping sectors reveals changes in their underlying information flow patterns since the emergence of the COVID-19 virus. Abstract This article quantifies the information flow between major equities in the Oil & Gas Midstream and Marine Shipping industries, on the basis of the effective transfer entropy methodology. Keywords: covid-19; doi:10.1016; entropy; equities; events; finance; flow; gas; gas midstream; inc; information; journal; letters; level; logistics; marine; market; midstream; oil; pandemic; post; research; sectors; shipping; stock; table; time; transfer; transfer entropy
• Design and Implementation of a Web Application for Cultural Heritage by Lo Duca, Angelica; Marchetti, Andrea (2020) - Difficulty in creating a collection The insertion of resources into the collection and the export of the same (see Figures 8 and 9), on the other hand, led to more problems: more than half of the people found the procedure easy or very easy, but more users found it difficult or very difficult. User suggestions divided by category Theme Ideas Proposals Quality of graphics Making the application more responsive and adaptable to different devices Content browsing Improve the clarity of the Home button Improve navigation via browser using the Back button Give the possibility to search for a resource without specifying the class Start the search for a resource in the Database by pressing the Enter key Search the Database even with incorrect strings, for example montale instead of Eugenio Montale Show a popup warning when the search does not give results Management of documents Give the possibility to modify a collection managing several resources at the same time The last question asked to express an overall opinion on WeME, evaluating the application on a scale of 1 to 5 (see Figure 20). Keywords: application; base; data; digital; figure; information; knowledge; resources; users; web; weme
• A Digital Literacy Workshop Training Model for Child Parenting in a Fourth Industrial Era by Nurhayati, Sri; Noor, Agus H.; Musa, Safuri; Jabar, Reny; Abdu, Wamaungo J. (2022) - Hence, leading to inadequate parental supervision of children's activities on social media within the digital age and now the fourth industrial era, which comes with a lot of challenges. The workshop model helps to increase the knowledge and ability of parents in using social media and also helps to improve parental supervision of children in using other forms of technology. Keywords: ability; activities; children; data; digital; information; internet; literacy; media; parents; research; use; workshop
• Sociological Impact of Cyber Laws on Media: Virtue Community and Controversies by Noval, Sayid Muhammad Rifki (2024) - The increased civic participation facilitated by social media plays a vital role in promoting democratic avenues of community engagement and civic responsibility, ultimately enhancing government service delivery https://creativecommons.org/licenses/by/4.0/ https://orcid.org/0000-0001-7455-7213 HighTech and Innovation Journal Vol. 5, No. 1, March, 2024 45 Both society and governments have embraced social media, with the latter utilizing these platforms to provide complementary channels for information sharing, connection, and engagement. Keywords: censorship; cyber; cyber law; data; indonesia; information; internet; journal; law; laws; media; organizations; research; society; study
• Consumer's Personality Traits and Knowledge-sharing Behavior on Shoppertainment Platforms: The Mediating Role of Subjective Well-being and Trust by Phuthong, Thadathibesra (2023) - Knowledge sharing behavior on the shoppertainment platform (KLS) 0.344 0.343 0.465 0.767 Neuroticism (NEU) 0.517 0.428 0.534 0.410 0.813 Openness to experience (OPE) 0.504 0.439 0.582 0.422 0.632 0.864  H6(+): Extraversion has positive direct effects on subjective well-being. Keywords: behavior; consumers; effect; experience; extraversion; information; knowledge; knowledge sharing; media; neuroticism; personality; personality traits; platform; products; relationship; research; sharing; shoppertainment; traits; trust
• System Architecture for IT Talent Ecosystem Using Service Oriented Approach by Fajar, Ahmad Nurul; Limonthy, Stanley; Handopo, Josua J.; Purnawan, Fandy; Kesuma, Adidharma E. (2023) - Implication and Explanation of Findings The main finding of this research is a system architecture that provides a mechanism for integrating a number of different applications by acting as service providers and consumers services by implementing a services approach that synergizes SOA and microservices. Service oriented computing in practice - An agenda for research into the factors influencing the organizational adoption of service-oriented architectures. Keywords: application; architecture; data; information; job; layer; microservices; online; research; service; soa; systems; table; talent; training
• European Real Estate Properties Valuation: Ten Years After Adopting IFRS 13 by Š koda, Miroslav; Bočková, KateŠ™ina; GuzoŠˆová, Viera (2023) - In order to obtain a more general understanding of IFRS 13 and its implications on fair value disclosures of investment properties in real estate companies, we have decided to expand our research across borders by taking into consideration real estate firms listed in Europe. In this research, we analyze the information related to fair value disclosures for investment properties present in the annual reports of real estate companies in Europe for the years immediately before and after the implementation of IFRS 13, i.e., 2019–2020 and 2020–2021. Keywords: accounting; companies; compliance; disclosure; estate; ifrs; information; investment; journal; level; new; properties; quality; requirements; research; value
• Social Media Data Privacy Related to Security Awareness and Student Trust Regarding Data on Instagram by Kurniawan, Yohannes; Natalia, Bella; Pratama, Windy; Devi, Ni Luh Gede Aninda Kesuma (2024) - While social media data privacy is important, many people still share their daily activities and personal data. From the descriptive analysis, it is known that most respondents are aware of the vulnerability of social media data privacy on Instagram. Keywords: account; awareness; data; data privacy; information; instagram; media; media data; privacy; research; respondents; security; students; table; users
• Development of a Technique for Discrete-Logical Decision-Making in Medical Information Systems by Alexandrov, Islam A.; Kuklin, Vladimir Zh.; Chervyakov, Leonid M.; Sheptunov, Sergei A. (2024) - This study aims to improve the quality of medical decisions made by specialized professionals based on diagnosis results, conclusions of non-classical logic, and semantics. Clinical decision support systems for diagnosis in primary care: A scoping review. Keywords: characteristics; data; decision; decision support; diagnosis; figure; information; journal; logic; making; medical; patient; process; support; systems; table; value

• Assessing AI-Driven Personalization in Smart Cities Using Hybrid Machine Learning and MCDM Approach by Faisal, Muhammad; Sahabuddin; Hasiri, Ery Muchyar; Darniati; Abd Rahman, Titik Khawa; Mulyadi, Ida; William Asrul, Billy Eden; Wahyuni, Sri; Widia, I Dewa Made (2025) - [42] Park, J. ho, Salim, M. M., Jo, J. H., Sicato, J. C. S., Rathore, S., & Park, J. H. (2019). [45] Naz, S., Butt, S. A., ul Hassan, M. M., Escorcia-Gutierrez, J., Fatima, A., & ul Ain, F. (2025). Keywords: accessibility; cities; city; class; classification; criteria; criterion; data; decision; evaluation; forest; good; journal; making; matrix; mcdm; moderate; performance; personalization; value
• Multi-Objective Biomechanical Optimization of Breaststroke Swimming Using NSGA-II by Luo, Zhongjian; Yan, Xinting (2025) - For biomechanical systems, such as swimming performance optimization, the objectives are often conflicting, requiring careful trade-offs. The biomechanical model and NSGA-II framework enable a systematic exploration of these trade-offs, facilitating evidence-based decision-making in swimming performance optimization. Keywords: breaststroke; efficiency; energy; framework; joint; load; nsga; objective; optimization; performance; solutions; stroke; swimming; training; velocity
• Evaluating the Performance of NoSQL Databases for Big Data in Cloud Computing Environments by Topcu, Ahmet E.; Rmis, Aimen M.; Alzoubi, Yehia I.; Çibikdiken, Ali O.; Chowdhury, Dababrata; Elbasi, Ersin; Abdel-Maguid, Mohamed; Almadhun, Salem (2025) - However, the lowest latency for read operations was achieved by Google Cloud Riak KV, and for insert operations, it was achieved by OpenStack MongoDB. OpenStack with Riak KV achieved the highest latency for both scan and insert operations, while Google Cloud Riak KV achieved the lowest latency for scan operations, and Google Cloud MongoDB achieved the lowest latency for insert operations. Keywords: cloud; cloud mongodb; cloud riak; data; databases; digitalocean; google cloud; kv google; latency; mongodb; mongodb openstack; nosql; number; openstack; openstack riak; operations; performance; read; riak kv; study; workload; ycsb
• Engine Downsizing; Global Approach to Reduce Emissions: A World-Wide Review by Namar, Mohammad Mostafa; Jahanian, Omid; Shafaghat, Rouzbeh; Nikzadfar, Kamyar (2021) - The most popular group of research is on downsized engine performance, and it is growing over time. Downsized engines are able to produce the same power as right-sized ones, employing supercharger, turbocharger, twin-charging, direct injection (DI), exhaust gas recirculation (EGR) or variable valve timing (VVT). Keywords: combustion; doi:10.1016; downsizing; engine; et al; fuel; gasoline; ignition; injection; international; journal; knock; performance; pressure; sae; spark; technical
• The Importance of Interfirm Networks in Enhancing Innovation Capability and Exporting in High-Tech Industry by Noerlina, .; Mursitama, Tirta N.; Simatupang, Boto; Bandur, Agustinus (2022) - Increasing Firm Performance through Interfirm Network and Innovation Capability Several studies related to firm performance and the factors that influence it have been carried out. Abstract This study investigates how interfirm networks affect firm performance through a multi-mediation model of innovation capability and exports in the context of high-tech industries in Indonesia as one of the emerging economies. Keywords: business; export; firm; indonesia; industries; industry; innovation; interfirm; journal; management; network; performance; research; tech; value
• Multi-class SVM Classification Comparison for Health Service Satisfaction Survey Data in Bahasa by Indrawan, Gede; Setiawan, Heri; Gunadi, Aris (2022) - Parameter settings in OvO SVM models include parameters C = 10, kernel = 'linear', decision_function_shape = 'OvO', and max_iter = 10000. Since Bali is one of the provinces in Indonesia and all of those provinces refer to the same national regulation, health service satisfaction survey data that is in the Indonesian language (Bahasa) should have the same aspects, like category, priority, word-related matters (including abbreviations, acronyms, terminology), etc. Keywords: accuracy; bigram; bigram ovr; classification; comparison; data; dataset; features; figure; health; indonesian; models; msvm model; ovo; ovr msvm; performance; precision; recall; test; unigram
• Descriptive Statistical Analysis of the Coach-Player Relationship with CART-Q and SCI by Lajčin, Daniel; Bočková, KateŠ™ina (2023) - Coaching effectiveness: the coach–athlete relationship at its heart. Satisfaction and the coach–athlete relationship: The mediating role of trust. Keywords: athlete; athlete relationship; coach; coach relationship; confidence; czech; journal; level; performance; player; psychology; quality; questionnaire; relationship; research; sample; self; sports; sports self; tennis; training; values
• Comprehensive Evaluation of Deep Neural Network Architectures for Parawood Pith Estimation by Kurdthongmee, Wattanapong (2023) - Pith estimation results for Parawood cross-sectional dataset: comparison of ground truth and model predictions Figure 5. This analysis will provide insights into the effectiveness and suitability of our proposed approach for pith estimation in wood cross-sectional datasets. Keywords: approach; cross; dataset; error; estimation; images; mean; mobilenet; models; parawood; performance; pith; pith estimation; regression; xception
• A Framework to Estimate the Key Point Within an Object Based on a Deep Learning Object Detection by Kurdthongmee, W.; Suwannarat, K.; Wattanapanich, C. (2023) - [17, 33-38], indicating a research gap concerning the optimal dataset scale for training object detectors. The improvement in performance can be attributed to the unique annotation strategy and the fusion of object detection and key point estimation within a unified deep learning framework. Keywords: bounding; boxes; dataset; detection; detectors; estimation; framework; images; object; performance; pith; point; processing; pupil; training; 𝐵𝐵∗
• An Adaptive Differential Evolution with Multiple Crossover Strategies for Optimization Problems by Farda, Irfan; Thammano, Arit (2024) - 0.00E+00 0.00E+00 0.00E+00 ƒ17 0.00E+00 5.06E+01 3.04E+01 7.13E+01 0.00E+00 4.85E+00 1.79E+01 1.01E+02 3.32E-02 0.00E+00 0.00E+00 4.17E+00 3.96E+00 5.00E+01 0.00E+00 2.75E+00 3.67E+00 8.39E+01 1.82E-01 0.00E+00 ƒ18 0.00E+00 1.65E-09 1.61E-02 1.48E-04 3.23E-26 7.29E-12 3.47E-08 1.83E-10 5.02E-47 0.00E+00 0.00E+00 4.57E-09 7.54E-03 7.40E-04 5.24E-26 1.83E-11 7.60E-08 5.52E-10 2.74E-46 0.00E+00 ƒ19 0.00E+00 1.59E-01 5.31E-02 6.38E-01 0.00E+00 2.40E+00 1.10E+00 0.00E+00 0.00E+00 0.00E+00 8.23E+00 9.94E+00 4.06E+01 2.35E-02 0.00E+00 ƒ22 0.00E+00 3.46E+00 1.66E+00 1.90E+00 3.55E-15 1.61E+00 2.32E+00 2.69E-09 0.00E+00 0.00E+00 0.00E+00 6.09E-01 3.23E-01 2.27E-01 0.00E+00 2.88E-01 3.51E-01 1.42E-08 0.00E+00 0.00E+00 ƒ23 0.00E+00 2.28E+01 3.04E+00 1.37E+01 0.00E+00 2.94E+00 2.51E+00 5.09E-06 0.00E+00 0.00E+00 0.00E+00 3.69E+00 1.13E+00 2.09E+00 0.00E+00 9.32E-01 1.41E+00 2.62E-05 0.00E+00 0.00E+00 ƒ24 0.00E+00 7.63E-02 1.65E-01 5.53E-01 2.17E+00 3.03E-01 1.64E-01 2.08E+00 2.10E+00 0.00E+00 0.00E+00 1.35E-02 1.86E-02 1.77E-01 2.11E+00 3.02E-02 1.90E-02 1.53E-01 1.76E-01 0.00E+00 ƒ25 7.32E-01 5.94E-01 4.97E-01 6.18E-01 8.72E-01 4.72E-01 6.70E-01 8.62E-01 1.14E+00 7.31E-01 7.18E-02 8.92E-02 8.12E-02 1.04E-01 1.24E-01 7.18E-02 7.55E-02 5.26E-02 1.06E-01 9.04E-02 ƒ26 4.80E-01 5.90E-01 5.83E-01 6.00E-01 4.92E-01 5.82E-01 5.63E-01 5.19E-01 5.00E-01 5.00E-01 1.52E-02 2.75E-01 1.76E-01 2.33E-01 7.42E-03 2.00E-01 2.46E-01 7.04E-02 6.76E-14 0.00E+00 ƒ27 0.00E+00 1.98E-12 1.70E-16 2.77E-11 0.00E+00 6.72E-11 2.89E-16 0.00E+00 0.00E+00 0.00E+00 0.00E+00 2.55E-12 2.72E-16 3.99E-11 0.00E+00 8.22E-11 3.69E-16 0.00E+00 0.00E+00 0.00E+00 ƒ28 0.00E+00 7.23E+00 8.61E+00 6.88E+00 1.05E-10 9.49E+00 5.98E+00 2.77E+01 2.76E+01 0.00E+00 0.00E+00 5.74E-01 5.41E-01 6.23E-01 5.46E-10 8.67E-01 5.64E-01 1.70E+00 1.06E+01 0.00E+00 ƒ29 4.56E+01 2.68E+01 2.49E+01 2.83E+01 4.59E+01 2.85E+01 1.29E+01 6.54E+01 4.39E+01 2.33E+00 3.82E-01 3.24E+00 1.32E+00 4.85E+00 3.80E-02 2.08E+00 2.23E+00 7.53E+00 4.10E-01 3.21E-04 ƒ30 0.00E+00 1.77E+01 3.67E+01 2.17E+02 0.00E+00 7.98E+01 8.14E+01 3.38E+02 0.00E+00 0.00E+00 0.00E+00 3.83E+00 4.74E+00 8.27E+01 0.00E+00 1.14E+01 1.40E+01 1.26E+02 0.00E+00 0.00E+00 ƒ31 6.01E-07 1.04E-03 1.80E-19 1.04E-03 8.34E-01 2.68E-11 1.58E-15 4.51E-03 3.64E-01 2.07E-03 2.62E-07 5.68E-03 1.33E-19 5.68E-03 1.26E-01 2.86E-11 1.47E-15 2.07E-03 5.49E-02 7.89E-03 ƒ32 2.19E-03 1.25E-02 4.51E-17 3.33E-03 9.51E+00 5.77E-10 3.70E-04 5.73E-01 4.22E+00 1.50E-02 5.88E-03 1.87E-02 3.96E-17 5.17E-03 5.48E-01 Keywords: 0.00e+00; ademcs; algorithm; crossover; differential; evolution; functions; mutation; optimization; performance; strategy; vector; 𝐷 𝐷; 𝐹(𝑋𝑟1 𝐺; 𝐺 −; 𝑈𝑖 𝐺; 𝑉𝑖 𝐺; 𝑋𝑏𝑒𝑠𝑡 𝐺; 𝑋𝑖 𝐺; 𝑋𝑟2 𝐺; 𝑓(𝑋𝑖 𝐺
• Performance Assessment of Optimized Link State Routing Protocol on Vehicular Ad Hoc Network Simulation by Yu Xian, Yap; Yogarayan, Sumendra; Abdul Razak, Siti Fatimah; Sayeed, Md. Shohel; Abdullah, Mohd. Fikri Azli; Kannan, Subarmaniam; Azman, Afizan (2025) - Improving the selection of MPRs in OLSR protocol: A survey of methods and techniques. Analysis of optimization parameters of OLSR protocol for VANETs. Keywords: density; environments; highway; network; olsr; pdr; performance; results; routing; scenarios; simulation; study; throughput; traffic; vanet

• Innovation for People with Disabilities in Hospitality Industry: A Theoretical Approach by Theocharis, Nikolaos; Leligou, Helen Catherine; Tseles, Dimitrios (2022) - According to Sundbo & Gallouj (1999), service innovation can be classified into four types: product innovation, process innovation, organizational innovation, and market innovation Ottenbacher and Gnoth (2005) did not elaborate a theory of innovation development, but proposed nine factors that support the success of service innovation by hotel managers: market selection, strategic human resource management, employee training, market responsiveness, empowerment, behavioural evaluation, marketing synergy, employee engagement and tangible quality [74]. Keywords: approach; disabilities; hospitality; hotel; innovation; journal; management; new; people; process; processes; research; services; tourism
• Identification of Knowledge Management Barriers in Scientific R&D Projects in Czech Academic Environment by Lajčin, Daniel; GuzoŠˆová, Viera (2023) - In the case of project knowledge sharing, we are partly talking about individual knowledge, but group knowledge plays a key role. Management of project knowledge and experiences. Keywords: barriers; communication; individual; innovation; journal; knowledge; knowledge management; knowledge sharing; lack; members; organization; project; project management; r&d; research; systems; team; time
• Role of the Magnitude of Digital Adaptability in Sustainability of Food and Beverage Small Enterprises Competitiveness by Suseno, Bambang Dwi; Basrowi, . (2023) - [64] Ahmed, S. A. K. S., Ajisola, M., Azeem, K., Bakibinga, P., Chen, Y. F., Choudhury, N. N., Fayehun, O., Griffiths, F., Harris, B., Kibe, P., Lilford, R. J., Omigbodun, A., Rizvi, N., Sartori, J., Smith, S., Watson, S. I., Wilson, R., Yeboah, G., Aujla, N., … Yusuf, R. (2020). The centrality of user connections and social networks, as well as the achievement of the results expected by business stakeholders, were also indicated to be considered [27]. Keywords: adaptability; beverage; business; competitiveness; costless; engagement; enterprises; fit; food; innovation; journal; magnitude; results; signaling; stakeholder; study; sustainability
• 5G Opportunities in the South Pacific: Leveraging Low-Band Spectrum for Socio-Economic Development by Singh, Satyanand; Singh, Pragya; Rosak-Szyrocka, Joanna; Vasa, Laszlo (2024) - Evolution of Non-Terrestrial Networks from 5G to 6G: A Survey. In this sense, every other industry's success in the modern business world is being facilitated by the development of wireless network technologies like 5G. The 5G technology is an advancement above 4G LTE technology. Keywords: access; available; band; connections; connectivity; coverage; data; development; economic; g networks; g technology; innovation; internet; iot; journal; mhz; mobile; nations; new; pacific; people; poverty; rural; services; spectrum; technologies; united; use; world
• Exploring Self-Management Practices in SMES: Insights from an Initial Survey by Sarkambayeva, Sh.; Akzambekkyzy, A.; Singh, Satyanand; Tsekhovoy, A. (2024) - Top management team diversity and high performance: An integrative approach based on upper echelons and complexity theory. Research highlights the paradoxical nature of cross- functional team communication, where while small teams benefit from increased communication across functional boundaries for creative outcomes, larger teams might suffer from excessive cross-domain communication, impacting innovation adversely [62]. Keywords: autonomy; business; cross; development; employees; flexibility; innovation; journal; kazakhstan; leadership; management; members; motivation; organization; project; research; review; self; smes; study; teams; women; work

• Assessment of Fresh Water Reallocation by Treated Wastewater for Irrigation by Tabieh, Mohammad A.; Al-Karablieh, Emad K.; Qtaishat, Tala H.; Salman, Amer Z.; Thaher, Nael H.; Al-Karablieh, Nehaya K.; Al-Jaghbir, Madi T.; Al-Zghoul, Tharaa M.; Jamrah, Ahmad I. (2025) - Farmers receive irrigation water based on the cropping pattern, with HighTech and Innovation Journal Vol. 6, No. 1, March, 2025 239 citrus trees being the most prevalent in the NJV, where the water allocation for citrus is 40 m³ per day per ha-1. Despite the hydraulic infrastructure being in place since 2016 to utilize this water for irrigation in the NJV after blending with freshwater, the quality of the final effluent does not meet the standards and specifications for irrigation water, making it unsuitable for citrus irrigation. Keywords: agriculture; blending; citrus; costs; crop; farmers; irrigation; irrigation water; jordan; journal; management; njv; production; quality; reuse; salinity; soil; study; total; tww; value; wastewater; water; water quality; yield
• Analysis of the Management Positions Gender Structure in Sports Organizations in Slovakia by GuzoŠˆová, Viera; Bočková, KateŠ™ina (2022) - The results of the research examining 65 national sports organizations in Slovakia confirmed that the gender in Slovak organized sports is manifested on the one hand by the dominance of men in the membership of sports organizations, with the exception of sports those are explicitly understood as female, but also in the representation on the management and decision-making positions. Despite the fact that the status of men and women is equal in many aspects of life, sport and the management of sports organizations are still the prerogative of men Keywords: executive; female; gender; journal; leadership; management; number; olympic; positions; representation; research; results; sports; sports organizations; structure; women
• Optimization of Microeconomic Models Under Integrated Partial Differential Equations by Huo, Linwen; Wei, Shumin; Wang, Ianwei (2024) - Abstract Objectives: This study aims to optimize microeconomic models under integrated partial differential equations, focusing on microeconomics and mathematics. Microeconomic models for university management under integrated partial differential equations can be quite complex and require a strong foundation in mathematics and economics to understand. Keywords: differential; energy; equations; journal; management; method; models; optimization; research; time; type; university
• Reinventing Formulas for Construction Project Delay Index Due to Management and Production by Luthan, Putri Lynna A.; Sitanggang, Nathanael; Syafriandi, Syafriandi (2023) - Summary of simulation results for construction project delay formula caused by production team Cases Plan Actual Data KM KP Results (S1-S2) + slack -pending (D1-D2) + Summary of simulation results for construction project delay formula caused by both management and production aspects Case Plan Actual Data KM KP Results (S1-S2) + slack -pending (D1-D2) + (KM Minus =0) DMF DPF DT MDI PDI 1 S1=1 D1-4 FF=3 S2=3 P=0 D2=5 (+) -1 + - -1 0 -1 2 S1=1 D1-4 FF=3 S2=4 P=0 Keywords: construction; criteria; delay; doi:10.1016; formula; journal; management; production; project; score; table

• Enhancing DBSCAN Accuracy and Computational Efficiency Using Closest Access Point Pre-Clustering for Fingerprint-Based Localization by Yaro, Abdulmalik Shehu; Maly, Filip; Prazak, Pavel (2025) - Consider the m-th cluster denoted as 𝐶𝑚 such as 𝐶𝑚 ⊆ F. Below is a summary of the steps involved in further refining the m-th cluster using DBSCAN algorithm These scores represent improvements of approximately 23% and 34% over s-DBSCAN and 54% and 61% over k-DBSCAN, respectively. Keywords: algorithm; cap; cap algorithm; clustering; clusters; database; dbscan; dbscan algorithm; fingerprint
• The Prediction of Douyin Live Sales based on Neural Network Algorithms by Sun, Jinman; De, Xinling; Zheng, Hui (2023) - Abstract This paper aims to optimize neural network algorithms in order to improve their predictive performance and meet the demand for Douyin live sales forecasting. Using the Pearson correlation coefficient, six factors that are highly correlated with live sales were selected for subsequent prediction. Keywords: algorithm; bpnn; bpnn algorithm; commerce; data; douyin; ibas; journal; live; prediction; sales; streaming
• An Improved Differential Evolution Algorithm for Numerical Optimization Problems by Farda, Irfan; Thammano, Arit (2023) - The most popular crossover strategy for DE algorithm is the binary crossover, described as follows: 𝑢𝑖,𝑗 = { 𝑣𝑖,𝑗; 𝑖𝑓(𝑟𝑎𝑛𝑑[0,1] ≤ 𝐶𝑅 𝑜𝑟 𝑗 = 𝑗𝑟𝑎𝑛𝑑) 𝑥𝑖,𝑗; 𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒 (8) where the crossover parameter CR is a random real number in the range (0,1]; it controls the number of elements in the trial vector chosen from the mutant vector. A new selection operator for differential evolution algorithm. Keywords: 0.0000e+00; algorithm; evolution; nbolde; pasde; population; strategy; vector; 𝐹(𝑋𝑟2 𝐺; 𝐺 −; 𝑈𝑖 𝐺; 𝑉𝑖 𝐺; 𝑋𝑏𝑒𝑠𝑡 𝐺; 𝑋𝑖 𝐺; 𝑋𝑟2 𝐺
• Color Analysis of Cloud Brocade Pattern by Image Style Transfer by Wu, Chuanqi (2023) - With the development of image technology and artificial intelligence, image style transfer has been gradually applied to the fields of arts and crafts such as porcelain, lacquer, and painting [5, 6]. As a pattern design feature of Yunjin, it is also very suitable for using the method of image style transfer to complete the design. Keywords: algorithm; color; content; image; loss; map; migration; optimization; pattern; style; transfer
• Design of 360° Dead-Angle-Free Smart Desk Lamp based on Visual Tracking by Sun, Jian; Liu, Yan (2023) - Therefore, the objective of this study is to enhance desk lamps by integrating them with visual tracking algorithms, enabling them to function as smart desk lamps capable of automatically illuminating targets from all angles. This has led to the emergence of smart desk lamps capable of autonomously adjusting the light angle or intensity [3]. Keywords: algorithm; cnn; desk; desk lamp; lamp; lighting; object; recognition; target; tracking
• Automatic Recognition Technology of Library Books Based on Convolutional Neural Network Model by Hu, Jianping; Yan, Yongkang; Xie, Zhengguang (2024) - The results in the first and second columns of Figure 5 show that the method in this paper can better distinguish book page images with high similarity. HighTech and Innovation Journal Vol. 5, No. 1, March, 2024 211 On the other hand, the suggested approach avoids the requirement requiring substantial gathering of information activities to construct enormous repositories of book page images. Keywords: algorithm; book; cnn; data; feature; figure; image; journal; libraries; library; method; network; page; results; retrieval; segmentation; time
• A Wearable MYO Gesture Armband Controlling Sphero BB-8 Robot by Chu, T. S.; Chua, A. Y.; Secco, E. L. (2020) - It was also observed that HRI robots, when given enough social and emotional interaction, can significantly improve one’s capability in coping with stress [7]; additionally, there have been cases where HRI robots were used for entertainment purposes [8]. HRI robots are emerging to supplement human lifestyle as it offers physical and emotional support. Keywords: algorithm; armband; bluetooth; gesture; hardware; myo; robot; sphero; user

• The Impact of Social Media on the Development of Women Especially in Transition States by Izmaku, Xhevahire; Gashi, Rrezarta (2023) - Predictors: (Constant), social media has a 1sitive effect on doing business for women entrepreneurs in Kosovo due to minimal costs, Social media have 1sitive impact on Brand loyalty, Social media have 1sitive impact on Easy communication, Social media impact to Attract a bigger audience. The Pearson Correlation Matrix Results Column1 VAR 1 VAR 2 VAR 3 VAR 4 VAR 5 VAR 6 VAR 7 VAR 8 VAR 9 VAR 10 VAR 1 1 VAR 2 0.892** 1 VAR 3 0.892** 1.000** 1 VAR 4 0.923** 0.981** 0.981** 1 VAR 5 0.903** 0.933** 0.933** 0.934** 1 VAR 6 0.870** 0.884** 0.884** 0.874** 0.987** 1 VAR 7 0.907** 0.969** 0.969** 0.954** 0.990** 0.972** 1 VAR 8 0.784** 0.908** 0.908** 0.860** 0.938** 0.916** 0.940** 1 VAR 9 0.847** 0.744** 0.744** 0.798** 0.671** 0.633** 0.708** 0.467** 1 VAR 10 0.218** 0.394** 0.394** 0.354** 0.290** 0.235** 0.322** 0.399** 0.262** 1 HighTech and Innovation Journal Vol. 4, No. 3, September, 2023 570 Social media makes it difficult to erase the effects of an offensive post; social media impact to attract a bigger audience; social media marketing is a competitive industry that pushes everyone to do their best; social media helps in spreading the word about a business quickly and effectively, social media marketing applies the concept of targeted marketing and advertising, social media platforms are used to attract new customers and form a special connection with existing customers, social media marketing is cost-effective and efficient, which reaps in tons of profit for entrepreneurs, Social media has a positive effect on doing business for women entrepreneurs in Kosovo due to minimal cost. Keywords: business; development; entrepreneurs; impact; kosovo; marketing; media; media marketing; percent; research; sales; women; women entrepreneurs
• Innovative Strategy for Selecting Industries for Program-Target Stimulation of Regional Economic Diversification by Karaev, Alan K.; Gorlova, Oksana S.; Ponkratov, Vadim V.; Vasyunina, Margarita L.; Masterov, Andrey I.; Sedova, Marina L.; Mikhina, Elena V. (2023) - In this research, matrix = (𝑎𝑐,𝑝), containing data on strong economic sectors, is constructed on the basis of tax revenue data for 85 sectors in 85 regions of Russia for 2021*, and constants in Equations 3 and 4 are equal 𝑎1= 1.9305; 𝑎2= 1.9756, respectively [44]. Based on the strategy for modernizing intermediate opportunities, this research considers industries with an intermediate level (0.5Keywords: advantages; complexity; data; development; diversification; economic; economy; industries; level; manufacture; products; region; republic; sectors; tax
• Combining Export- and Domestic Demand-Led Growth Hypotheses: Key Sustainable Development Amidst Global Dynamics by Hoa, Nguyen T. X.; Ngoc, Tran Thi Bich; Thanh Binh, Dao; Tran Si, Lam; Thi Phuong Anh, Dinh (2024) - [3] and Michaely [4] using a research method based on the correlation coefficient between export growth and economic growth. Export growth has a positive impact on economic growth by affecting total factor productivity through its influence on the rest of the economy, which in turn affects GDP growth. Keywords: countries; country; ddlg; demand; development; elg; export; export growth; gdp; growth; investment; journal; market; total; vietnam

• Integrating Intelligent Sensors for Safe UAV Distribution: Design and Evaluation of Ranging System by Jiang, Yihu; Pang, Xianhai; Zhang, Zizi; Jing, Hao; Wei, Liqiang; Su, Jingang; Zhang, Peng (2024) - The correlation analysis of the safety ranging of distribution network live work is carried out on the five indicators in Table 2. The efficiency of live distribution network work under the two types of safe ranging is 84% and 97% in the sixth month. Keywords: accuracy; data; distance; distribution; distribution network; live; network; operation; ranging; robot; safety; sensing; transmission; voltage

• Architectural Rehabilitation and Sustainability of Green Buildings in Historic Preservation by Pinheiro, Ana Paula (2020) - Cathedral of Portalegre: Section by access to South courtyard with green roofs and green walls. Examples of green roofs and green facades are presented, and it is shown that rainwater management improves the sustainability of the historic place. Keywords: building; energy; figure; green; plants; rehabilitation; roofs; water
• The Use of Regression Method on Simple E for Estimating Electrical Energy Consumption by Hasibuan, Arnawan; Siregar, Widyana Verawaty; Isa, Muzamir; Warman, Eddy; Finata, Roby; Mursalin, M. (2022) - [14] Zhang, X. M., Grolinger, K., Capretz, M. A. M., & Seewald, L. (2018). [26], regression methods can be divided into linear and nonlinear: Linear Regression In linear regression, the relationship between the independent (X) and dependent (Y) variables in a mathematical equation is a linear or straight line [27]. Keywords: consumption; data; electricity; energy; forecast; growth; journal; linear; method; regression; table; values
• Trainable Regularization in Dense Image Matching Problems by Kuklin, Vladimir Zh.; Tatarkanov, Aslan A.; Umyskov, Alexander A. (2023) - A combined computer vision and image processing method for surface coverage measurement of shot peen forming. Machine learning is one of the two main categories that are classified for image matching Keywords: c o; energy; figure; image; journal; matching; method; network; number; o n; stereo; tensor; ti o
• Powering through Challenges: Analyzing the Energy Crisis in the Western Balkans during the Pandemic Context by Gjukaj, Arben; Rexhepi, Vezir; Bualoti, Raimonda; Celo, Marialis; Kerolli, Isak (2024) - The overview encompasses a detailed analysis of the sector, covering aspects such as energy demand, production, technical challenges, insufficient investment, the impact of imports, changes in prices in the market, tariff structure, and their overall impact on the ongoing crisis. Naturally, energy demand rises during the day when human activity peaks and declines at night when most people sleep. Keywords: consumption; crisis; demand; electricity; energy; energy crisis; europe; european; factors; figure; gas; kosovo; market; power; prices; sector
• Driving Technologies for the Design of Additive Manufacturing Systems by Righettini, Paolo; Strada, Roberto (2021) - The family of Additive Manufacturing technologies is quite broad, and it is characterized by several different kinds of processes, according to the specific technology used. With particular reference to a Selective Laser Melting (SLM) or Selective Laser Sintering (SLS) machine, such issues include thermal energy control, laser energy control, laser beam control, 3D model slicing, and building orientation of the product in the building chamber. Keywords: control; design; energy; laser; machine; manufacturing; powder; process; product; temperature

• A Study of Dance Movement Capture and Posture Recognition Method Based on Vision Sensors by Wang, Qun; Tong, Gang; Zhou, Sichao (2023) - Therefore, this paper studied the capture and posture recognition of dance movements to understand the usability of the proposed method in dance posture recognition. To improve the effect of dance posture recognition, this article incorporates joint velocity features in addition to joint coordinates as input for the subsequent pose recognition algorithm. Keywords: cnn; dance; data; folk; human; kinect; movements; network; posture; posture recognition; rate; recognition
• Simulation of Vehicular Bots-Based DDoS Attacks in Connected Vehicles Networks by Abdul Razak, Siti Fatimah; Fang, Ku Yee; Kamis, Noor Hisham; Muhammad Amin, Anang Hudaya; Yogarayan, Sumendra (2023) - Vehicular bots DDoS attack the simulation findings highlight the vital need for effective security methods to protect connected vehicle networks from DDoS attacks by vehicular bot nodes. Distributed Denial of Service (DDOS) is one of the most common and dangerous security attacks on connected vehicle networks. Keywords: attacks; bots; bulk; ddos; delivery; end; figure; network; nodes; number; packet; rate; ratio; simulation; vehicle

• A Data Mining Perspective on the Confluent Ions` Effect for Target Functionality by Fazelabdolabadi, Babak; Montazeri, Mostafa; Pourafshary, Peyman (2021) - Initial permeability (md) x6 Ba2+ ion concentration in formation water (ppm) x7 Sr2+ ion concentration in formation water (ppm) x8 Ca2+ ion concentration in formation water (ppm) x9 SO4(2-) ion concentration in formation water (ppm) x10 Final permeability, Keywords: composition; concentration; data; fluid; formation; functionality; ion; ion concentration; mole; oil; parameters; percent; results; scale; target; water
• Study on the Test Error of Silt Dynamic Characteristic and Its Influence on the Peak Ground Acceleration by Li, Bo; Li, Xiaofei (2023) - In medium to hard sites, the impact of DSMR test error on peak acceleration can be ignored, and the risk level of DR test error is close to 5%. (5) In general, the impact of experimental errors on the ground motion calculation results of the testing personnel can be basically ignored. So as to analyze the influence of DSMR test error on ground motion. Keywords: acceleration; dsmr; error; limit; results; shear; silt; soil; test
• Hardware Engineering of Hazardous Gas and Alcoholic Substances Detector in Meat Using Microcontroller and Gas Sensor by Suwarno, Iswanto; Purwono, Purwono; Ma'arif, Alfian (2023) - Defining the Research Question A potential prevalence of chemical gas substances and increased ethanolic content in grilled meat were assumed at the beginning of the research. Then, the research problem was formulated in these research questions: 1) What are gas substances that can be detected in grilled meat?” Keywords: beef; chicken; figure; gas; gas sensor; gas substances; grilling; line; meat; minutes; output; pork; research; results; substances; types
• Interdisciplinary Studies of Jet Systems using Euler Methodology and Computational Fluid Dynamics Technologies by Sazonov, Yuri A.; Mokhov, Mikhail A.; Bondarenko, Anton V.; Voronova, Victoria V.; Tumanyan, Khoren A.; Konyushkov, Egor I. (2023) - The authors attribute the feasibility of creating such a school to the appearance of new patented jet systems designed to control the thrust vector within a complete geometric sphere, with the thrust vector angle in the range of +180° to -180°. In this regard, future studies in thrust vector control systems aim to connect thrust and velocity vectors with specific designs of unmanned vehicles operating on land, underwater, or in the air. Keywords: channels; computer; control; doi:10.3390; ejector; euler; figure; flow; jet; nozzle; output; problems; research; results; simulation; thrust; vector

• Production Data Analysis Techniques for the Evaluation of the Estimated Ultimate Recovery (EUR) in Oil and Gas Reservoirs by Elmabrouk, Saber Kh.; Mahmud, Walid Mohamed (2022) - Oil production rate versus cumulative oil production for well A01 HighTech and Innovation Journal Vol. 3, No. 1, March, 2022 91 Figure 6. Oil production rate versus cumulative oil production for well A06 Figure 7. Keywords: data; eur; line; oil; plot; production; rate; time; water
• The Study of Dynamics Heterogeneity in SiO2 Liquid by Trang, Giap Thi Thuy; Linh, N. H.; Linh, N. T. T.; Kien, P. H. (2020) - In addition, we found the clustering from different sets of atoms specified by the mobility of atom or frequency of reactions. Thereby the set M2, M3 is determined from the positions of atom in the starting configuration and the configuration at time tD. The M4, M5 consists of atoms with which the reactions happen most frequently or rarely, respectively. Keywords: atoms; journal; liquid; reactions; regions; time
• POEAM – A Method for the Part Orientation Evaluation for Additive Manufacturing by Jung, Simon; Peetz, Sebastian; Koch, Michael (2020) - POEAM proposes a method for an efficient assessment of a set of orientations, by means of well formulated criteria and an early elimination of insufficient orientations. The goal is to narrow the search field, so costly preparation steps will only be performed on orientations that promise a superior end result. Keywords: additive; criteria; orientations; process; simulation; time

• An Integrated Approach of Multi-Criteria Decision Making to Determine the Most Habitable Planet by Gunaydin, Gizem; Duvan, Gamze; Ozceylan, Eren (2022) - In the VIKOR method, with equal criterion weights, the best alternative could not be determined due to the unsatisfied conditions. Data Collection Planets have unique properties for different criteria. Keywords: criteria; criterion; dematel; equation; matrix; method; planets; step; topsis; values
• Study on International Settlement of Enterprises' Export Trade Business using Risk Management by Li, Yi (2023) - Novelty: When assessing international settlement risks, the AHP was used, and a judgment matrix was employed to calculate the weights for each level. After reviewing the literature, this article divided international settlement risks into external and internal risks. Keywords: business; contract; credit; export; judgment; matrix; method; risk; settlement; trade; weight
• Permissible Extrapolation Justification of the Multiplicative Multifactorial Model and Its Application to the White Soot Production Technology by Karimova, Lyutsiya; Makasheva, Guldana; Malyshev, Vitaliy; Kharchenko, Yelena; Kairalapov, Yerlan (2024) - The basic nonlinear (multiplicative) model is expressed as a product of linear partial functions with normalization by their arithmetic mean values, while the dimensionalities of the partial dependencies for each factor are reduced during normalization and become dimensionless (unit fractions, u.f.). Our research is characterized by the possibility of combining linear and nonlinear mappings in multifactorial dependencies, if it is necessary to extrapolate beyond the studied range to obtain separate areas of optimal values of a multidimensional function. Keywords: area; equation; extrapolation; factors; function; method; multifactor; nonlinear; number; regression; soot; surface; values; white

• Unveiling the Power of ESG: How it Shapes Brand Image and Fuels Purchase Intentions - An Empirical Exploration by Puriwat, Wilert; Tripopsakul, Suchart (2022) - This paper explores the effect of ESG activities on brand image and customers’ purchase intentions. For brand image as a consequence of ESG activities, social activities (b = 0.511) play the strongest role, followed by environmental (b = 0.482) and governance (b = 0.434) activities. Keywords: activities; brand; brand image; effect; esg; esg activities; governance; image; impact; intention; journal; purchase; responsibility; value
• Physicochemical and Microstructural Characterization of Klias Peat, Lumadan POFA, and GGBFS for Geopolymer Based Soil Stabilization by Amaludin, Adriana E.; Asrah, Hidayati; Mohamad, Habib M.; bin Amaludin, Hassanel Z.; bin Amaludin, Nazrein A. (2023) - In the case of EC, this parameter for peat soil has recently been reported by researchers working on peat soils Therefore, the objective of this study is to establish the physicochemical, chemical composition, mineralogy, and morphology characteristics of Klias peat soil, Lumadan Palm Oil Fuel Ash (POFA), and Ground Granulated Blast Furnace Slag (GGBFS). Keywords: ash; astm; chemical; content; engineering; et al; geopolymer; ggbfs; ground; journal; klias; klias peat; materials; moisture; palm; peat; peat soil; pofa; properties; soil; study; value

• The Development and Evaluation of Homogenously Weighted Moving Average Control Chart based on an Autoregressive Process by Sunthornwat, Rapin; Sukparungsee, Saowanit; Areepong, Yupaporn (2024) - In order to compare how successfully the charts identified process changes, the authors therefore aimed to offer an exact formula for the average run time of HWMA control charts. = 𝜐 is an initial value; 𝜐 ∈ [0,h] where h is a upper control limit of HWMA control chart. Keywords: arl; average; charts; control; control chart; cusum; cusum control; ewma; hwma; hwma control; process
• Challenges and Risks in the Due Diligence Process Answered with an Innovative Approach by Müller, Christoph (2021) - Especially when it comes to different technologies needed in different markets companies try to assure access to the relevant products to have the power over the quality and price of these products and related innovation No connection between DD sub-areas;  DD and strategic CO focus on different time frames;  Both DD and strategic CO have different participants;  Results are presented different ways in DD and strategic CO (DD general vs. CO company specific). Keywords: approach; areas; case; companies; company; dd process; expert; m&a; new; process; qualitative; research; strategic

• Orchestration of Federated Risk for P2P Lending Platforms: A Multi-Agent Systems (MAS) Approach by Muthaiyah, Saravanan; Nguyen, Lan Thi Phuong; Choong, Yap Voon; Zaw, Thein Oak Kyaw (2024) - A study from Dammag & Nissanke [22] examined the adoption of P2P lending platforms to determine the factors that encourage SMEs to use P2P lending platforms in obtaining loans. P2P lending platforms have emerged as a disruptive innovation, enabling direct lending between individuals and businesses without the involvement of traditional financial institutions. Keywords: agents; data; default; deviation; investment; lending; p2p; peer; platforms; rate; ratio; return; risk; sharpe; table

• Mobile Service Quality's Impact on Customer Repurchase Intention in Food and Beverage Mobile Applications by Oktavia, Tanty; Christian, Jonathan T.; Kristanto, Kelven J.; Satria, Ricky S. (2024) - Given the study’s focus on mobile service quality, ease of ordering will also be added as one of the factors in the context of overall mobile service quality. The analysis, conducted using Structural Equation Modeling-Partial Least Squares (SEM-PLS), revealed that these dimensions significantly enhance overall mobile service quality, which in turn positively affects customer e-satisfaction and repurchase intention. Keywords: application; beverage; customer; ease; food; indonesia; intention; journal; mobile; quality; repurchase; research; satisfaction; service; service quality; study; use; users

• Optimization of Fuzzy Support Vector Machine (FSVM) Performance by Distance-Based Similarity Measure Classification by Surono, Sugiyarto; Nursofiyani, Tia; Haryati, Annisa E. (2021) - The application of fuzzy membership function (𝑠 𝑖 ) where 0 < 𝑠 𝑖 ≤ 1 is on the training dataset 𝑥 𝑖 with class 𝑦 𝑖 ∈ This research was carried out using the Gaussian membership function and the Distance-Based Similarity Measurement consisting of the Euclidean, Manhattan, Chebyshev, and Minkowsky distance methods. Keywords: classification; data; distance; fsvm; function; fuzzy; membership

• Motion Picture Analysis: A Mechanical Study of Tennis Players during Forehand and Backhand Strokes by Yin, Yanan; Gou, Tingting (2024) - The dynamic parameters, such as lower limb joint torque, were obtained based on acting force measurements from a force platform. Lower limb joint torques of subjects during forehand and backhand strokes (unit: Nm) Keywords: athletes; backhand; backhand strokes; forehand; joint; level; limb; muscle; stage; strokes; students; tennis

• DeepImageTranslator V2: Analysis of Multimodal Medical Images using Semantic Segmentation Maps Generated through Deep Learning by Ye, En Zhou; Ye, En Hui; Bouthillier, Maxime; Ye, Run Zhou (2022) - [8] by including a tool for multimodal medical image segmentation analysis based on semantic segmentation maps generated using a deep convolutional neural network. DeepImageTranslator: a free, user-friendly tool for image translation using deep-learning and its applications in CT image analysis. Keywords: adipose; fdg; image; maps; pet; rois; segmentation

• Evaluation and Optimization of the Aerodynamic Noise Reduction of Vehicle Side View Mirrors: Experimental and Numerical Study by Gohari, Mohammad; Norozi, Rasoul; Hajizadeh Aghdam, Abolfazl (2022) - Referring to the specified theory of airborne noise and the complaints of drivers, the current study is focused on the side view mirror noise reduction of the Tiba, a small sedan vehicle manufactured by SAIPA, Iran. Based on the stated theory, some investigations were applied to vehicle side mirrors. Keywords: figure; level; mirror; noise; pressure; sound; view
• Production and King Grass Nutritional Quality Number of Sources of Nitrogen Fertilizer by Hendarto, Eko; Setyaningrum, Agustinah (2022) - This size is a reasonable measure for king grass plants that grow on fertile, well-irrigated soil and have a good fertilizer management pattern Abstract The aim of this study was to obtain the best nitrogen source and level of information on plant growth, production, and nutritional quality of king grass forage (Pennisetum Purpureophoides). Keywords: content; crude; defoliation; fertilizer; forage; grass; growth; increase; king grass; level; manure; matter; nitrogen; pennisetum; plant; plant growth; production; purpureophoides; soil

• Green Preservation of Goatskin to Deplete Chloride from Tannery Wastewater by Hashem, Md. Abul; Payel, Sofia; Hasan, Mehedi; Momen, Md. Abdul; Sahen, Md. Sahariar (2021) - The salt curing system is considered to be one of the better systems because of the dual effect of salt: dehumidification and bacteriostatic action are exploited in skin preservation. [11], and silicate [12] in low salt skin preservation trials. Keywords: content; control; experimental; journal; leaf; leather; moisture; paste; preservation; salt; sample; skin
• Seismic Upgradation of RC Beams Strengthened with Externally Bonded Spent Catalyst Based Ferrocement Laminates by Balamuralikrishnan, R.; Al-Mawaali, A. S. H.; Al-Yaarubi, M. Y. Y.; Al-Mukhaini, B. B.; Kaleem, Asima (2023) - From the test results it could be concluded that spent catalyst based ferrocement strengthened beams show better performance in all respects when compared to control beams. Structural performance of ferrocement beams reinforced with composite materials. Keywords: beam; catalyst; concrete; control; control beam; deflection; ferrocement; figure; flexure; journal; laminates; load; shear; strengthening; study

• The Performance of a Cross-flow Turbine as a Function of Flowrates and Guide Vane Angles by Adeyanju, Anthony A.; Manohar, K. (2022) - Design of cross flow turbine (runner and shaft). An experiment was conducted in which three types of turbine nozzle roof curvature were used to study the features of cross-flow turbines Keywords: cross; flow; guide; rate; rotor; rpm; speed; turbine; turbine speed; vane; water
• An Investigating of the Impact of Bed Flume Discordance on the Weir-Gate Hydraulic Structure by Qasim, Rafi M.; Mohammed, Alya A.; Abdulhussein, Ihsan A. (2022) - This paper deals with the impact of bed flume discordance on hydraulic flow characteristics at the weir-gate downstream hydraulic regime. Figure 5 indicates the composite effect of the overlapping between weir flow velocity, the gate flow velocity, and the effect of the discordance in the bed flume. Keywords: bed; depth; discordance; downstream; flow; froude; gate; number; structure; water; weir

• Cohesive Methodology in Construction of Enclosure for 3.6m Devasthal Optical Telescope by Bangia, Tarun; Raskar, Ramesh (2022) - Certification of enclosure works was undertaken by consultants from M/s PPS. Active communication with contractors and consultants during commissioning activities of various enclosure systems facilitated the timely rectification of problems. Keywords: activities; building; components; conditions; construction; design; dome; enclosure; erection; pier; project; site; steel; structure; systems; telescope; work

• The Enigma of Commoning in Precarious Times: A Critical Perspective on Social Transformation by Schierup, Carl-Ulrik; Alund, Aleksandra (2020) - Their stigmatisation as outlaws beyond the pale of a respectable “civil society”, and the institutional (often violent) repression from which these and other post-2008 insurgent movements have repeatedly suffered in the North as well as the South – for example represented by militarized action and unconstitutional laws on public demonstrations directed against the Yellow Vests in France or anti-austerity activism in Chile - point at the value of integrating the idea of “uncivil society” into a wider theory of social movements and civic action in the global North as well as South. [32], in terms of crafting jurisprudence and the practice of lawyers into a proactive catalyst for social change in liaison with contending social movements. Keywords: husby; labour; market; movements; new; people; politics; precarity; society; spaces; state; stockholm; sweden; urban
• The Impact of Trade Balance of Agri-Food Products on the State's Ability to Withstand the Crisis by Dokič, Dragan; Gavran, Mirna; Gregič, Maja; Gantner, Vesna (2020) - The situation in agricultural production in Croatia has been negative for years. The aim of this paper was to analyze the readiness of the Republic of Croatia for crisis periods in terms of food security by analyzing the volume of agricultural production, the balance of foreign trade in agri-food products, and the structure of total agri-food product trade. Keywords: crisis; croatia; food; market; production; products; trade; year

• AHP Approach for Determining Category in Social Media Content Creation in Order to Maximize Revenue per Mille (RPM) by De Guzman, Kevin Joseph; Robielos, Rex Aurelius C. (2022) - The features that were identified for this study can be found on most, if not all, social media platforms, especially for video content. However, not all content posted on video platforms such as YouTube gets the desired attention, and only a fraction can reach a large audience, particularly the videos posted by social media marketers expecting millions of views [4-8]. Keywords: categories; content; count; length; media; platforms; quality; user; video
• Exploring Key Factors Influencing Sports Enthusiasts' Purchase of Sponsored Brands by Guo, Zhaoxia; Guo, Jinhui; Chen, Shih-Chih (2024) - Therefore, this study correlates customers' perceptions of CSR, BID, and perceived quality with the TPB framework of attitude and intention to construct an integrated model that better analyzes the consumption intentions and influencing factors of Chinese soccer enthusiasts toward sports sponsorship brand products, providing a reference for brand promotion. For football enthusiasts, the quality of sports sponsorship brand products is of particular importance. Keywords: att; behavior; bid; brand; consumers; csr; identification; intention; journal; kelme; marketing; products; purchase; quality; research; soccer; sponsorship; sports; study; tpb

• Soil Quality Evaluation in Urban Ecosystems during the Covid-19 Pandemic by Mironova, Nataliia; Yefremova, Olha; Biletska, Halyna; Bloshchynskyi, Ihor; Koshelnyk, Ihor; Sych, Serhii; Filippov, Maksym; Sinkevych, Serhii; Kravchuk, Vasyl (2022) - Considering the problems of soil change due to the Covid-19 pandemic, in our opinion, we should pay attention to urban soils as an important component of urban ecosystems functioning, since urban soils are a leading factor in the formation of green areas of cities. Given the fact that urban soils play an important role in accepting air pollution from emissions from vehicles and industrial enterprises, as well as the fact that in the context of the Covid-19 pandemic there were changes in these anthropogenic factors, quantitative changes in agro-ecological indicators of soils of the territories under quarantine are possible. Keywords: areas; changes; city; content; covid-19; impact; khmelnytskyi; quarantine; soil; trial; urban

• The Performance of the Agri-food Sector in the Recent Economic Crisis and during Covid-19 Pandemic by Mizik, Tamás (2021) - According to Verpoorten et al. (2013), higher food prices improved the food security of the net food producers [12]. They also found that strong GDP growth can offset the negative impacts of high food prices. Keywords: agri; crisis; export; food; food trade; hungarian; impacts; import; production; products; sector; trade; world

• Navigating the Convergence of Artificial Intelligence and Space Law: Challenges and Opportunities by Al Sabt, Ibrahim; Farooqui, Mohammad Owais (2023) - The rapid advancement of AI in space technologies is encouraging more success in the space industry; however, it poses legal challenges concerning space activities and AI in space due to the lack of jurisdiction in space law, drafted in the 1960s Different studies were conducted to explore the implementation of AI technologies in space activities and their legal implications. Keywords: activities; challenges; convention; industry; intelligence; international; law; liability; organization; space; states; technologies

• Digital Skills of Human Resources: Exploratory Research of Innovations in Enterprises by Pham, Thi Thanh Hong; Ngoc, Tran Thi Bich; Cuong, Duong Manh; Binh, Dao Thanh; Si, Lam Tran (2024) - Research Gap, Objective and Hypotheses Development in the Vietnamese Context Reviewing the theoretical and empirical issues of previous literature published abroad on the role of HR digital skills in businesses, the authors found that the concepts and cataloging of digital skills into levels, as well as the close connection between digital skills and the digital divide are clearly argued. To fill these gaps, this study set out the following objectives: (i) examining the current situation of HR digital skills and DX readiness of Vietnamese enterprises; (ii) exploring the interrelationship between digital skills of the workforce and the digital divide within citizens in order to clarify the causes of weakness in the digital skills of Vietnamese enterprises. Keywords: available; digital; divide; enterprises; internet; online; readiness; research; skills; transformation; vietnam; vietnamese; workforce

• Socioeconomic impacts of Households' Vulnerability during COVID-19 Pandemic in South Africa: Application of Tobit and Probit Models by Oluwatayo, Isaac B.; Ojo, Ayodeji O.; Adediran, Olanrewaju A. (2022) - This implies that respondents who are employed and earn at least 9000 rands per month are less vulnerable to adverse COVID-19 impacts. A few studies have been published on COVID-19 responsiveness in South Africa [16–18]. Keywords: africa; covid-19; economic; food; impacts; pandemic; respondents; responsiveness; south; study; vulnerability

• CFD Study of Behavior of Transition Flow in Distinct Tubes of Miscellaneous Tape Insertions by Oni, Taiwo O. (2022) - Abstract Application of transition flow can be found in several processes and systems. It has been revealed through findings from various researchers that the values of Reynolds numbers at which transition flow occurs vary. Keywords: c tube; flow; number; transition; transition flow; tube

• Numerical Modeling on Mechanical Properties of Cemented Phosphogypsum Stabilized Soil by Zheng, Litang; Mao, Weikang; Liu, Bingfei (2025) - As shown in Figure 11(a), when the cement content is low, the optimal moisture content decreases with the increase of cement contents, and when the cement content is larger than 6%, the optimum water content raises with the increasing of cement content. 𝐹𝑙𝑜𝑤 = 𝐴𝐹1𝑚𝑐 + 𝐵𝐹1𝑚𝑐𝑥𝑙𝑜𝑤 + 𝐶𝐹1𝑚𝑐𝑥𝑙𝑜𝑤 2 + 𝐷𝐹1 (8) where 𝐹𝑙𝑜𝑤 is the fissure rate of low doped phosphogypsum, 𝐴𝐹1 = −0.15, 𝐵𝐹1 = −0.162, 𝐶𝐹1 = 0.42, 𝐷𝐹1 = 1.985 is the fitting coefficient, and 𝑚𝑐 is the cement content, 𝑥𝑙𝑜𝑤 is the ratio of cement content to phosphogypsum content. Keywords: cement content; clay content; content figure; contents; data; figure; fitting; limit; phosphogypsum content; properties; soil

• The Degree of Consistency Through Adopting SMART Objectives for Succession of Feasibility Studies to Infrastructure Projects by Hazem, Ryad Tuma; Hadi, Ali Hasan; Nassar, Yasser Sahib (2024) - Project feasibility study: the key to successful implementation of sustainable and socially responsible construction management practice. The desired objectives in feasibility studies should be highlighted to ensure that the packages of the infrastructure projects are moving smoothly in terms of the desired goal. Keywords: component; construction; engineering; feasibility; feasibility studies; infrastructure; infrastructure projects; journal; objectives; project; stages; studies; study

• Alternative Approach for Improvement Sustainable Supply Chain Management in the Large European Container Ports by Hinkka, Ville; Mäkinen, Reetta; Eckhardt, Jenni; Lastusilta, Toni (2021) - x x x x x x x x x x Valencia x x x x x x x x x x Algeciras Felixstowe x x x x x x Piraeus x x x x x x x x x x x Gioia Tauro Barcelona x x x x x x x x INDICATOR Air quality Energy consumption Noise Relationship with the community Ship waste Monitoring Monitoring Monitoring Local, National and International Governments Services for vessels (internal/external) Smart air quality monitoring networks Improvements in lightning Static and predictive noise mapping Other ports and European bodies Treatment plants for oil residues Shore-side power supply Electrification of the vehicles and patrol vessels On-shore power supply Partnercoalitions Sea and land cleaning activities LNG network Education and training for employees High impulse noise restrictions NGOs Free disposal for clean plastic waste Environmental discounts ECO-calculators Noise barriers Neighbours and visitors Innovations for plastic waste on seaUse of green electricity Paper consumption Port zoning Greening ambassadors Hydrogen infrastrucutre projects Use of (electric) bikes in the port area Rail and road maintenance E-noses Piloting energy neutral sea locks Modern construction machines Truck tracking apps Electrification of RTG cranes Noise dependenent fee on railways Charging when green electricity peaks Kinetic recovery container bridges Port development (land) Climate change Water quality Dredging operations Garbage / port waste Diversity Rail connection development Carbon footprint Monitoring Monitorig Monitoring Species protection plans Clean commuting iniatives Solar and wind power Contingency plans Coordinated soil management concepts Improvements in sorting and recycling services Green gateways Transport routes in and to port Biomass, biomass co- firing, biogas Daily cleaning of water surface Recycling dregding material Manuals for port waste and recycling Conservation areas Cycling routes Adapting new technologies Goals on reducing spills, pollutants and dumpings Up-date technology and procedures Campaings and training for employees Local species planting Improvements on buildings R&D activities Re-use and recycling of materials Waste management system and representatives Compensation mitigating sites Enhancing port landscaping Off-setting and compensating environmental harms Use of biocide-free underwater paint Sustainable procurement practices Land cleaning HighTech and Innovation Journal Vol. 2, No. 2, June, 2021 135 Most common intentions on reducing noise related harms included monitoring, static and predictive noise mapping and on-shore power supply. Regarding port waste, most of the ports highlighted their recycling and reuse efforts and their attempts to separate hazardous waste, sort waste and use waste hierarchy principles. Keywords: april; chain; container; european; intentions; operations; ports; supply; sustainability; transport; waste; webpages
• Achieving Carbon Neutrality: Strategies in Organizations, Engagement and IT Innovations by Qian, Chan Rou; Thinakaran, Rajermani; Adisan, Richard Pravin Thomas; Rashid, Tarik A.; Ramachandaran, Sharmila Devi; Koloszár, László (2025) - Abstract This study examines the challenges organizations face in achieving carbon neutrality by analyzing employee awareness, organizational practices, and the role of information technology (IT). It aims to (1) assess employee engagement in sustainability initiatives, (2) evaluate the effectiveness of organizational policies in promoting carbon neutrality, and (3) explore the potential of IT solutions in reducing emissions. Keywords: awareness; carbon; carbon neutrality; data; efforts; emissions; employee; figure; organizations; participants; practices; solutions; survey; sustainability
• Sustainability Assessment in Housing Building Organizations for the Design of Strategies against Climate Change by Burciaga, Ulises Mercado (2020) - The assessment was based on: 1) climate change indicators were selected from a case study; 2) a survey based on climate change indicators was designed and applied to 21% of the total organizations under study; and 3) critical indicators were identified. Selection of Climate Change Indicators The framework of climate change indicators is made up to 45 indicators distributed as follows: 2 indicators for the Nature (Environmental) subsystem; 6 indicators for the Resources (Economic) subsystem; 12 indicators for the Human Factor (Social) Subsystem; and 25 indicators for the Ideology (Cultural) subsystem (Table 1). Keywords: assessment; building; change; climate; climate change; construction; housing; indicators; materials; methodology; organizations; strategies; sustainability

• Evaluation of an Anthropometric Fast Bowling Machine by Bickramdass, Ronnie; Persad, Prakash; Loutan Jr., Kelvin (2021) - To facilitate bowling load management without affecting batting drills, cricket bowling machines are employed by clubs and academies. Cricket bowling machines also provide solo training in the absence of a bowler. Keywords: angle; arm; ball; bowling; cricket; data; delivery; hand; journal; machine; pitch; wrist

• Study of Effect of Size on Iron Nanoparticle by Molecular Dynamics Simulation by Kien, Pham Huu; Khamphone, Yiachu; Trang, Giap Thi Thuy (2021) - The crystallization and microstructure were analyzed through the pair radial distribution function (PRDF), the potential energy per atom, the distribution of atom types and dynamical local structure parameters , where x is the bcc, ico or 14. The characteristics of different type atoms are listed in Table 1. Keywords: atoms; bcc; cluster; journal; sample; simulation; structure; type

• Characterization of Structural Transition and Heterogeneity under Compression for Liquid Al2O3 Using Molecular Dynamics Simulation by Kien, Pham Huu; Nhu, Tran Thi Quynh; Trang, Giap Thi Thuy (2022) - Furthermore, the Voronoi volumes of O atoms are detected to decrease faster than those of Si, indicating the existence of free-volume regions in liquid Al2O3. The coordination number of Al atoms includes various species with disappearing three- and four- coordinated and appearing six- and seven-coordinated since the liquid is compressed. Keywords: al2o3; alo4; alo5; alo6; gpa; journal; liquid; pressure; structure; units

• Statistical Similarity of Mortality and Recovery Ratios for Covid-19 Patients based on Gender and Age by Mahmoudabadi, Abbas (2021) - They show the absolute value of the difference between females and males for the distribution function of mortality rate is 0.127 and for recovery rate is 0.246, both reveal that there is no significant difference between females and males. For example, the cumulative proportion for females (70-79) years old is calculated as 0.308 + 0.236 1.560 = 0.460 where 0.308 is the cumulative portion for the age group of (60-69), 0.236 is the mortality rate for the current age group, and eventually, 1.560 represents the sum of mortality rates for all females’ age groups. Keywords: age; distribution; females; functions; gender; journal; mortality; patients; rates; recovery

• Eco-Friendly Materials for Temporary Use in Architecture and Decorations by Poomchalit, Walanrak; Tipboonsri, Ponlapath; Chongkolnee, Boonsong; Pramoonmak, Supaaek; Cheewawuttipong, Watthanaphon; Memon, Anin (2025) - Morphological analysis of the PLA-SC Composites A fluorescence stereoscope was used to confirm the dispersion behavior of SC fiber in the PLA matrix. Mechanical and thermal properties of bamboo fiber–reinforced PLA polymer composites: a critical study. Keywords: composites; dispersion; fiber; figure; materials; methods; pla; properties; sheets; single; solution

• Spin-Orbit Coupling Effect on the Electrophilicity Index, Chemical Potential, Hardness and Softness of Neutral Gold Clusters: A Relativistic Ab-initio Study by Jabbarzadeh Sani, Mahnaz (2021) - The main purpose of the present research work is to examine the Spin-Orbit Coupling (SOC) effect on the behavior of the electrophilicity index, chemical potential, hardness and softness of neutral gold clusters Aun (n=2-6). In order to determine the spin-orbit coupling (SOC) effect on the electronic properties of neutral gold clusters, the spin-orbit corrections to the chemical hardness, softness, chemical potential and electrophilicity index [20, 32] of the gold clusters are computed. Keywords: au3; chemical; clusters; electrophilicity; gold; hardness; index; orbit; orbit coupling; potential; spin; 𝐿. 𝑆

• Temporal Trends of Rainfall and Temperature over Two Sub-Divisions of Western Ghats by Mann, Rohit; Gupta, Anju (2022) - [10] highlighted the future climate changes in rainfall and temperature patterns and their influence on rainfall trends. Rainfall trends in twentieth century over Kerala, India. Keywords: coastal; goa; karnataka; konkan; monsoon; rainfall; temperature; years

• The Effect of Polyvinyl Alcohol Concentration on the Growth Kinetics of KTiOPO4 Nanoparticles Synthesized by the Co-precipitation Method by Gharibshahian, E. (2020) - The crystallite size of obtained KTP nanoparticles under different conditions is given in Table 1. In this paper, we will investigate the role of capping agent concentration on the size and shape control of KTP nanoparticles. Keywords: agent; journal; ktp; mole; nanoparticles; pva; size

• Propellant Actuated Device for Parachute Deployment during Seat Ejection for an Aircraft Application by Parate, Bhupesh A. (2020) - Types of Propellant used in PADs Propellants used in PADs are gun propellants and are mainly classified as single base propellants, double base propellants and triple base propellants. The case houses the primer as initiator and gun powder as the main filling. Keywords: aircraft; cartridge; drogue; ejection; gun; pad; parachute; propellant; seat; slug; velocity; vtr

• Optimizing Container Fill Rates for the Textile and Garment Industry Using a 3D Bin Packing Approach by Thi Xuan Hoa, Nguyen (2024) - A new load balance methodology for container loading problem in road transportation. The exact solutions of several types of container loading problems. Keywords: b01; b02; b03; bin; boxes; container; packing; pallet; po02; po03; problem; stacking; 𝛿1𝑖; 𝛿1𝑖 b02; 𝛿5𝑖

• Punching Shear Characterization of Steel Fiber-Reinforced Concrete Flat Slabs by Mohammed, Abbas H.; Mubarak, Huda M.; Hussein, Ali K.; Abulghafour, Taymour Z.; Nassani, Dia Eddin (2022) - Dimension of test slabs The dimensions of the square and circle stub columns are (100×100) mm and (100) mm, respectively. Slabs S5 and S10 had maximum deflections of 22.2 and 21 mm, respectively, under the ultimate load. Keywords: column; concrete; fiber; journal; load; punching; shear; slab; steel; strength

• The Effect of Gurney Flap and Trailing-edge Wedge on the Aerodynamic Behavior of an Axial Turbine Blade by Mahzoon, Mohammad Mahdi; Kharati-Koopaee, Masoud (2021) - Thus, one could conclude that employment of trailing-edge wedge causes higher airfoil lift and drag and an increase in the wedge height leads to the increase in the airfoil lift and drag. Lift coefficient, drag coefficient and aerodynamic performance for the airfoil equipped with VGs in the presence of Gurney flap As Figures 12(a) and 12(b) represent, employment of Gurney flap leads to the increase in the airfoil lift and drag. Keywords: aerodynamic; airfoil; edge; flap; gurney; gurney flap; lift; trailing; vgs

• Comparative Analysis of Meteorological Drought based on the SPI and SPEI Indices by Faye, Cheikh (2022) - Use of the Standardized Precipitation and Evapotranspiration Index (SPEI) from 1950 to 2018 to determine drought trends in the Senegalese territory. Droughts that affect water availability, agricultural production, and livestock operations are generally identified and characterized using drought indices. Keywords: basin; casamance; drought; indices; months; period; precipitation; rainfall; river; senegal; spei; spi; stations; trend; valley

• Development of Starter Culture for the Improvement in the Quality of Ogiri, a Food Condiment by Olaoye, O. A.; Ohuche, J. C.; Nwachukwu, A. C.; Nwaigwe, U. V. (2022) - The highest crude protein and ether extract of 27.98 and 10.04 were recorded for ogiri samples made from fluted pumpkin that was inoculated with L. fermentum and un-inoculated melon seed, respectively Inoculated ogiri samples showed reduced counts of coliforms, yeast, and moulds in comparison with their un-inoculated counterparts during storage. Keywords: acidophilus; bacteria; cultures; fermentum; isolates; journal; lab; lactobacillus; ogiri; samples; seeds; starter

• Phytochemical Study of Endemic Species Helleborus Caucasicus and Helleborus Abchasicus by Beridze, Medea; Kalandia, Aleko; Japaridze, Indira; Vanidze, Maia; Varshanidze, Natela; Turmanidze, Nazi; Dolidze, Ketevan; Diasamidze, Inga; Jakeli, Eteri (2020) - Among these species, Helleborus caucasicus and Helleborus Abchasicus are widely distributed. Information about test samples # Test species Samples collected area Samples data 1 Helleborus caucasicus v. 1 Maisi, Adjara February 2020 2 Helleborus abchasicus s. Kutaisi, Imereti February 2020 Ultra Performance Liquid Chromatography (UPLC)-Preparation of a sample for chromatographic examination of saponins: Various parts of the plant were taken for analysis - the rhizomes and leaves of Helleborus caucasicus and Helleborus abchasicus as. Keywords: abchasicus; caucasicus; helleborus; helleborus caucasicus; substance

• Relativistic Extended Thermodynamics of Polyatomic Gases with Rotational and Vibrational Modes by Pennisi, Sebastiano (2021) - The vibrational and rotational blocks appear for 0 ≤ 𝑟 ≤ 𝑆; also the subsequent orders 𝑆 + 1, 𝑆 + 2, ⋯, 2𝑆 have to be considered (here order of a tensor is the number of its indexes) but only by means of their traces and this is according to the law: If 𝑟 is the number of its free indexes, then 𝑆 − 𝑟 traces have to be taken, for 0 ≤ 𝑟 ≤ 𝑆 − 1. • Let us explicitate now the subset of Equation (14) with 𝑞 = 𝑆 − 𝑟 + 1; from the condition (14) 2 we see that this can be done only when { 2 ≤ 𝑆 − 𝑟 + 1 ≤ 𝑆 + 1 , 0 ≤ 𝑟 ≤ 𝑟 , , i.e., 0 ≤ 𝑟 ≤ 𝑆 − 1. Keywords: ̃ �; � ̃; 𝐴𝑉𝐸; 𝑆 𝑠′=0; 𝑆+2; 𝑈𝛼 𝐴𝑉𝐸; 𝑑 ℐ𝑅; 𝑑 ℐ𝑉

Epilogue

For more detail, about this study carrel, see the computed home page. For more detail about study carrels in general, see the read me file.

Created: 2025-12-24