futech: A Pathfinder

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

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:

Analysis; Technology; Learning; Model; Energy; Performance; System; Time; Design; Optimization; Accuracy; Development; Risk; Water; Network; Areas; Electric; Climate; Radiation; Machining; Emissions

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.

• Techno-economic analysis of a green hydrogen-firing gas turbine in Malaysia via Monte Carlo simulations by Rahman, Mohammad Nurizat (2024) - This institute marked the commencement of Malaysia's exploration into fuel cells and hydrogen energy, beginning with the construction of the nation’s first PEM fuel cell [16]. Embarking on the potential use of hydrogen energy. Keywords: analysis; carlo; cost; electricity; electrolysis; electrolyzer; energy; firing; fuel; gas; green; gts; hydrogen; hydrogen co; hydrogen energy; hydrogen production; journal; lcoh; malaysia; monte; peninsular; peninsular malaysia; potential; power; rahman; research; scenario; solar; study; technology
• State-of-the-art techniques and algorithms for swift and precise fault detection and protection in transmission lines by Xulu, Siphesihle Sibonelo ; Mendu, Bongumsa ; Monchusi, Bessie Baakanyang (2025) - However, considering the increasing adoption of electric vehicles (EVs) and their impact on the power grid, the integration of electric vehicles into transmission line fault detection and classification systems could be a promising future research area. [45] Mitra, Subhrajit; Mukhopadhyay, Rajarshi; Chattopadhyay, Paramita, “PSO driven designing of robust and computation efficient 1D-CNN architecture for transmission line fault detection”, Expert Systems with Applications, vol. 210, 2022. Keywords: analysis; classification; current; detection; engineering; et al; fault; fault detection; international; journal; lines; location; methods; power; protection; research; systems; techniques; transmission; transmission lines; vol
• Reframing the early-stage design process of residential buildings based on an energy-efficient, designerly decision support system (DDSS) by Al-Kazee, Mohamed Faisal; Negin Taji, Samand; Nasr, Tahereh ; Mansoori, Reza ; Mahdavinejad, Mohammadjavad (2025) - Simulation tools for building energy design. Design energy simulation for architects: Guide to 3D graphics. Keywords: absorption; analysis; building; coefficient; cooling; design; design process; energy; floor; heating; index; parameters; patterns; performance; process; sensitivity; simulation; variables; wall
• Impact of five important factors on restaurant performance and hospitality management: an empirical analysis of technological innovation by Amidi, Arian; Darvishmoghaddam, Ehsan; Razmfarsa, Ashkan; Binti Othman, Rafidah (2022) - Additionally, it has been determined that the quality of restaurant service can have a significant effect on restaurant performance. Knowing and being aware of the views of restaurant customers about the factors affecting the restaurant's performance can encourage investors to set up foreign restaurants in Iran. Keywords: analysis; customers; data; difference; factors; food; food quality; intervention; japanese; journal; management; performance; quality; research; restaurant; restaurant performance; result; satisfaction; service; service quality; study; table; test; value
• Reconstructing pharmaceutical service competency framework: development of AI-informed competency indicators and localized practices in China by Yuqiu Wang; Hazrina Hamid (2025) - Future Technology Open Access Journal https://doi.org/10.55670/fpll.futech.4.2.7 May 2025| Volume 04 | Issue 02 | Pages 61-75 Journal homepage: https://fupubco.com/futech ISSN 2832-0379 mailto:hazrina@lincoln.edu.my https://doi.org/10.55670/fpll.futech.4.2.7 https://fupubco.com/futech Y. Wang & H. Hamid/Future Technology May 2025| Volume 04 | Issue 02 | Pages 61-75 62 The emergence of AI as a transformative force in healthcare offers unprecedented opportunities to enhance the development of competency frameworks through sophisticated data analysis, pattern recognition, and predictive modeling [5]. Integration of service quality assessment with competency frameworks has shown promising results in hospital pharmaceutical services [17]. Keywords: analysis; chinese; competency; development; domains; framework; healthcare; implementation; indicators; integration; international; pharmaceutical; pharmacy; practice; quality; research; service; settings
• Enhanced toxic comment detection model through Deep Learning models using Word embeddings and transformer architectures by S, Sushma; Nayak, Sasmita Kumari ; Krishna, M. Vamsi (2025) - Technology August 2025| Volume 04 | Issue 03 | Pages 76-84 76 Article Enhanced toxic comment detection model through Deep Learning models using Word embeddings and transformer architectures S. Sushma1,2*, Sasmita Kumari Nayak1, M. Vamsi Krishna3 1Department of CSE, Centurion University of Technology and Management, Bhubaneswar, Odisha, India 2Aditya University, Surampalem, India 3Department of Computer Applications, Aditya University, Surampalem, India A R T I C L E I N F O Article history: Received 08 April 2025 Received in revised form 21 May 2025 Accepted 31 May 2025 Keywords: Toxic comment classification, Word embeddings, [21] provided a summary of recent ML techniques used for sentiment analysis, developing a framework to classify sentiment models according to their structure. Keywords: accuracy; analysis; bert; classification; comment; data; embeddings; learning; lstm; model; sentiment; toxic; word2vec
• Intelligent collaboration and artistic co-creation: a study on the enhancement mechanism of social well-being through AI-enabled intergenerational integration by He, Wanyi; Ahmad, Anuar Bin; Yunos, Nasruddin; Chen, Bingbing (2025) - [10] employed a two-wave survey study to reveal complex public opinion regarding AI art, whose perception was influenced by demographic traits, prior exposure to AI, and personal concepts of creativity. Their findings indicate that public acceptance of AI art remains in flux, with both enthusiasm and scepticism existing among different population groups, which points to the importance of cautious implementation strategies when introducing AI art into intergenerational contexts. Keywords: age; analysis; collaborative; community; creation; data; engagement; groups; integration; issue; knowledge; level; model; participants; study; technology; work
• Breaking data silos in multi-tier suppliers and designing intelligent collaborative trust by Ma, Qiuya; Wu, Danqing (2025) - Coordination Cost reduction demonstrates significant benefits (mean difference = -25.3%, t(45) = -9.87, p < 0.001, 95% CI: -33.2% to -21.6%). Analysis of cross-tier collaboration barriers and resolution strategies Barrier Category Prevalence Primary Manifestations Traditional Resolution Approaches AI-Enhanced Resolution Strategies Performance Improvement (%) Trust Deficit 76% Data reliability concerns (68%) Keywords: analysis; architecture; blockchain; chain; data; doi; figure; information; integration; learning; mechanisms; network; organizations; research; silos; supply; supply chain; systems; technology; trust; vol
• AI-assisted customer behavior analysis and hotel loyalty strategy optimization by Wu, Danqing; Ma, Qiuya (2025) - Insights generated by AI were provided to managers and staff through a dashboard, which, together with relevant KPIs on customer loyalty, personalization, and revenue, allowed deeper analysis through drill-down features. 4.2 Practical applications for hoteliers The validated AI framework provides practical applications for hotel operators seeking to improve customer loyalty and revenue performance through behavioral segmentation and dynamic personalization. Keywords: analysis; approach; customer; data; hospitality; hotel; implementation; loyalty; management; model; program; research; revenue; segmentation; systems; technology
• Deep Learning models for cultural pattern recognition: preserving intangible heritage of Li ethnic subgroups through intelligent documentation systems by Sun, Jing; Aboo Talib Khalid, Kartini; Suet Kay, Chan (2025) - Volume 04 | Issue 03 | Pages 119-137 120 technologies opened new avenues for the preservation of cultural heritage, thus offering enormous opportunities for research and scholarship [6]. Although digital recording equipment is central to the documentation and preservation of cultural heritage, researchers are increasingly recognizing that authentic conservation of heritage requires close attention to cultural context, ethical principles, and community perspectives. Keywords: accuracy; analysis; community; cultural; data; documentation; doi; ethnic; figure; framework; heritage; issue; knowledge; learning; methods; model; multimodal; pattern; performance; preservation; recognition; research; subgroup; system; technology; vol
• From robotic arms to AI-assisted: the evolution and interdisciplinary integration of robotic surgery technology based on bibliometron by Liu, Yuchi; Wira Mohd Shafiei, Mohd (2025) - This study utilized the keyword co-occurrence analysis function of the CiteSpace software to visually process the keyword data on the development of robotic surgery technology research in the Web of Science database from 2014 to 2024. Among them, Surgery ranked first, reflecting the medical dominance of robotic surgery research; while the high proportion of technical disciplines such as biomedical engineering and electrical and electronic engineering indicates that AI and engineering technologies are the key supports for the progress of this field. Keywords: analysis; centrality; computer; development; engineering; evolution; field; figure; integration; intelligence; network; research; science; surgery; surgery technology; technology
• Media framing and public risk communication: Deep Learning-based crisis narrative analysis and optimization by Zhang, Yue (2025) - 3.4 Frame analysis methods Our research employs a complementary mixed-methods approach to frame analysis, integrating computational and interpretive techniques to identify, categorize, and contextualize media frames in crisis narratives. International modern crises, such as the COVID-19 pandemic, have underscored the significant impact of media frames on public risk perception and compliance with safety protocols Keywords: analysis; attribution; communication; content; crisis; crisis communication; frame; framework; framing; learning; media; model; narrative; patterns; public; research; risk; transparency; types
• Mechanisms of short video selection behavior in elderly hypertensives under health information overload: a cognitive load theory by Guo, Ruina; Anis Azlan, Arina; Mohamad, Emma (2025) - Results demonstrate that cognitive load substantially impacts information processing efficiency, with performance declining from 89.4% accuracy under low cognitive load to 41.2% under high load scenarios. Such extensive data sets, including the comprehensive multi-modal dataset obtained through this design, are invaluable for studying the highly intricate relationship between cognitive load and information selection strategies of elderly patients suffering from hypertension. Keywords: accuracy; analysis; cognitive; complexity; content; digital; doi; engagement; figure; health; information; intelligence; load; patients; processing; research; theory; video; vol
• Machine Learning-based integration of multi-omics data for identification of tubular epithelial cell-specific biomarkers in diabetic nephropathy by Li, Wenning; Perumal Chandran, Suriyakala (2025) - Second, most published studies have employed single-omics approaches that fail to capture the multi- dimensional molecular complexity of diabetic kidney disease The enriched pathways encompass diverse cellular functions, including apoptosis regulation, metabolic dysfunction, and fibrosis progression, reflecting the complex pathophysiological landscape of diabetic kidney disease at the tubular epithelial cell level. Keywords: analysis; biomarkers; cell; data; disease; doi; epithelial; kidney; learning; machine; model; multi; nephropathy; omics; performance; validation; vol
• Multimodal data fusion for precision customer marketing based on deep learning: service quality perception and loyalty prediction by Nie, Xiaojing; Sh. Ahmad, Fauziah (2025) - Volume 04 | Issue 04 | Pages 12-23 15 achieve moderate performance levels but fail to capture the nuanced patterns inherent in multimodal customer data. This research addresses these critical gaps by developing a multifaceted approach that involves deep learning algorithms, focusing on precision customer marketing, and crafted through multimodal data fusion. Keywords: analysis; customer; data; dimensions; doi; figure; framework; fusion; importance; learning; loyalty; marketing; model; multimodal; performance; prediction; quality; service; service quality; systems; value; vol
• The impact of AI-driven industrial upgrading on economic development by Hao, Xiaofei; Ratniyom, Aotip; Sukpaiboonwat, Sivalap (2025) - AI threshold effects on demographic-growth relationships Table 2. The paper clarifies the interdependencies between AI adoption, industry upgrading, and economic development in the context of global digital transformation. Keywords: adoption; analysis; case; data; development; economic; effects; growth; index; manufacturing; population; structure; technology; threshold; upgrading; value; 𝑌𝑖𝑡
• The impact of job substitution and job intensity on job performance in the process of enterprise digital transformation by Li, Kang; Pimchangthong, Daranee (2025) - Employee job insecurity emerges as a pivotal organizational concern closely tied to employee performance Therefore, during DT, it is essential for companies to address the issue of employee job insecurity and implement measures to alleviate their anxiety and stress, thereby enhancing the effectiveness of DT. Keywords: analysis; data; digital; employees; insecurity; jmi; job; performance; research; variables
• AI-based tourist behavior analysis and cultural communication optimization strategies for Shanxi great wall heritage site by Hou, Xuehe; Paidi, Zulhilmi B (2025) - I C L E I N F O Article history: Received 28 May 2025 Received in revised form 12 July 2025 Accepted 22 July 2025 Keywords: Artificial Intelligence, Tourist behavior analysis, Cultural heritage tourism, Machine Learning, Optimization strategies *Corresponding author Email address: zulsusila@gmail.com DOI: 10.55670/fpll.futech.4.4.5 A B S T R A C T Cultural heritage tourism is considered one of the most important in the global tourism industry regarding the growth rate, with cultural regions attracting more than 600 million international tourists every year (UNWTO, 2023). Keywords: algorithms; analysis; behavior; communication; content; data; development; engagement; framework; heritage; heritage tourism; implementation; learning; machine; management; model; optimization; patterns; processing; research; satisfaction; sites; sustainability; systems; technology; time; tourism; visitor; vol
• Economic analysis of an off-grid solar PV for small scale desalination unit by Gökçekuş, Hüseyin; Kassem, Yousef; Godwin, Marilyn Hannah; Babangida, Aliyu (2022) - However, in order to promote and attract investors interested in installing solar energy systems for power generation, the economic viability of the projects must be evaluated. Combining the physical, socioeconomic, and energy potential characteristics for the majority of sample islands, solar photovoltaic-battery systems may be deemed a viable backbone for energy systems with different wind power capabilities [6]. Keywords: analysis; cost; desalination; electricity; energy; grid; hybrid; photovoltaic; power; pv system; solar; study; system; technology; water; water desalination; wind
• Research on an intelligent decision support system for enterprise organizational change in the digital economy environment by Zhang, Kexin (2025) - Expected outcomes encompass organisational theoretical contributions on the understanding of change to be enabled by technology and practical recommendations on how to apply intelligent decision support systems for organisational transformation projects. Discussion 5.1 Research findings These implemented intelligent decision support systems enabled remarkable advancements in the organisational change management processes, as the research results showcase. Keywords: analysis; change; data; decision; decision support; doi; economy; enterprise; implementation; learning; making; management; performance; processing; research; support; support system; system; time
• Research on a virtual teacher personalized interaction model integrating affective computing and multi-agent systems by Dang, Rili; Abd Samad, Noorazman (2025) - The integrated approach successfully bridges the emotional intelligence gap in virtual educational systems through sophisticated technological convergence, establishing theoretical foundations for distributed educational intelligence while revealing important implementation challenges. Intelligent educational systems have progressed through deep learning algorithms, multi-agent coordination, and advanced human-computer interaction paradigms. Keywords: accuracy; adaptation; agent; analysis; coordination; decision; effectiveness; emotion; figure; fusion; interaction; learner; learning; multimodal; performance; personality; processing; recognition; systems; table; technology; time
• POA-MLSP: a multi-dimensional learning analytics framework for predicting CET4 writing performance based on a production-oriented approach and student engagement patterns by Li, Yu; Ainil BT. Sulaiman, Nur; BT. Omar, Halizah (2025) - http://dx.doi.org/10.3390/app11010237 [18] Zhang, Y., et al., Educational data mining techniques for student performance prediction: method review and comparison analysis. [18] Zhang, Y., et al., Educational data mining techniques for student performance prediction: method review and comparison analysis. Keywords: analysis; approach; assessment; data; education; engagement; english; feature; framework; integration; intervention; language; learning; mlsp; model; patterns; performance; poa; prediction; self; student; table; theoretical; theory; validation; writing
• Toward sustainable power with floating solar at Near East University Lake, Northern Cyprus by Kassem, Youssef; Çamur, Hüseyin; Abdalla, MohamedAlmojtba Hamid Ali (2025) - Modeling and simulation of solar photovoltaic energy systems. Advancing simulation tools specific to floating solar photovoltaic systems– Comparative analysis of field-measured and simulated energy performance. Keywords: analysis; area; coverage; cyprus; energy; evaporation; figure; fpv; northern; photovoltaic; solar; study; systems; tracking; water
• Autonomous mobile robotics in smart warehousing: a cyber-physical systems approach to inventory management by Zhang, Yaqing; U. Abellera, Julie (2025) - Multi- robot warehouse systems have complex algorithms for task allocation and coordination in order to maximize efficiency without deadlocks and conflicts. In the domain of warehouses, CPS facilitates the integration of AMR fleets, warehouse management systems (WMS), and real-time data analytics Keywords: algorithms; amr; analysis; automation; control; coordination; cps; data; demand; design; digital; figure; framework; industry; integration; inventory; logistics; management; operations; optimization; order; performance; planning; real; robot; system; task; technology; time; twin; warehouse
• AI-driven marketing innovation in educational technology: a multi-dimensional analysis of virtual sales personnel and intelligent promotion strategies on user acceptance and engagement by Chen, Chuntie; Hidayati Binti Zakaria, Nor; Deng, Wei; Xu, Xiaoli; Xu, Youyu (2025) - Multi-country studies employing measurement invariance testing would enable identification of universal versus culture-specific factors in AI marketing acceptance, while longitudinal investigations tracking cultural adaptation as global EdTech platforms expand across borders could reveal dynamic acculturation effects on technology acceptance patterns, ultimately contributing to culturally-adaptive AI design strategies that optimize human-AI interactions across diverse educational ecosystems. Research methodology 3.1 Research design An explanatory sequential mixed-methods design integrates quantitative surveys (n=650) examining AI marketing acceptance with qualitative interviews (n=45) exploring nuanced user experiences and decision-making processes in educational technology cont... 3.2 Quantitative methods The quantitative phase employed a comprehensive online survey administered to 650 participants recruited from major educational technology platforms in China, complemented by longitudinal behavioral data tracking over a six-month period to capture act... Keywords: acceptance; acceptance model; analysis; anthropomorphism; artificial; data; education; engagement; et al; framework; human; intelligence; learning; marketing; model; personalization; tam; technology; technology acceptance; trust; user; value
• Optimizing blended learning through AI-powered analytics in digital education platforms: an empirical framework by Zhang, Fengrui; Wayan Subagia, I; Putu Artini, Luh; Seri Wahyuni, Dessy (2025) - Therefore, it is vital that multilevel systems, including student engagement analytics, achievement of academic intentions, and student satisfaction levels, become common elements of accreditation systems and related assessment methodologies The rapid proliferation of blended learning environments and AI- powered educational technologies has created a paradoxical situation where technological capabilities far exceed our empirical understanding of their optimal implementation. Keywords: analysis; analytics; data; doi; education; engagement; environments; learning; online; patterns; platform; research; student; systems; teaching; technology
• Personalized learning pathways in AI-powered dubbing applications for speaking proficiency enhancement: a systematic review by Zhao, Ruilin; Hanim Ismail, Hanita; Zamri Mansor, Ahmad (2025) - Theoretical integration of adaptive learning theory, cognitive load theory, and the technology acceptance model offers a unified framework for the utility of effective AI-based educational interventions in language learning. Based on a systematic 42 research articles were reviewed according to PRISMA, speaking and writing were identified as the primary targeted domains of AI applications for language learning. Keywords: analysis; applications; assessment; bias; data; dubbing; education; english; language; learners; learning; outcomes; pathways; proficiency; research; review; speaking; studies; systematic; technology
• Research on risk control and sustainability strategies of AI-driven big data analytics in LEAN manufacturing equipment R&D by Tsai, ChengHsien; Duraipandi, Oyyappan; Abbas Ali , Dhakir (2025) - The connection of AI to LEAN has given rise to hybrid mechanisms that preserve the human- based approach of LEAN and combine it with the analytics of AI systems The study also develops proactive risk mitigation strategies that leverage the technological advantages of AI systems while adhering to the core principle of continuous improvement within the lean manufacturing philosophy. Keywords: analysis; assessment; control; data; efficiency; environmental; figure; framework; implementation; improvement; industry; integration; lean; learning; manufacturing; optimization; performance; production; research; risk; sustainability; systems; technology; time
• Research on intelligent optimization mechanisms of financial process modules through Machine Learning-enhanced collaborative systems in digital finance platforms by Wang, Ting; R. Tobias, Grace (2025) - Volume 04 | Issue 04 | Pages 240-254 240 Article Research on intelligent optimization mechanisms of financial process modules through Machine Learning-enhanced collaborative systems in digital finance platforms Ting Wang, Grace R. Tobias* College of Business Administration, University of the Cordilleras, Gov. Pack Road, 2600 Baguio City, the Philippines A R T I C L E I N F O Article history: Received 02 July 2025 Received in revised form 17 August 2025 Accepted 02 September 2025 Keywords: Machine learning, Human-AI collaboration, Financial process optimization, Digital finance platforms, Multi-objective optimization *Corresponding author Email address: grtobias@uc-bcf.edu.ph DOI: 10.55670/fpll.futech.4.4.20 A B S T R A C T This research addresses the critical need for intelligent optimization mechanisms in financial process modules by developing a machine learning- enhanced collaborative system designed for digital finance platforms, aiming to bridge theoretical advances in human-machine collaboration with practical applications in financial process optimization. 5. Conclusion This study presents ML-enhanced collaborative systems for financial process optimization in digital platforms. Keywords: accuracy; algorithms; analysis; business; collaboration; compliance; data; decision; design; digital; efficiency; figure; human; learning; machine; management; mechanisms; multi; optimization; performance; process; processing; risk; system; time
• GI meets AI: Glycemic index in the age of AI, computational breakthroughs by Wanigasingha, NH; Harshini, HGL; Ariyaratne, MKA; Fernando, TGI; Dikwatta, U. ; Samarasinghe, U.S. (2025) - By integrating XAI into GI prediction models, researchers can improve transparency and trust while uncovering the factors driving glycemic variability, such as food preparation methods, ripeness, and individual metabolic responses. • High GI foods (GI ≥ 70): These lead to rapid spikes in blood sugar (e.g., white bread, sugary drinks, and processed cereals). Keywords: analysis; approach; blood glucose; content; control; data; dataset; diabetes; features; food; gi values; glucose; glucose levels; glycemic; health; image; impact; index; insulin; learning; levels; machine; machine learning; methods; models; monitoring; nutritional; patients; prediction; processing; reference; regression; research; researchers; review; rice; studies; study; techniques; technology; type; values; vol; volume
• Reconstruction of knowledge worker performance evaluation system in the ChatGPT era: an exploratory study based on human-AI collaborative work model by Yu, Zhixin; Yu, Zhicheng (2025) - Temporal evolution of AI skills demand in knowledge work (2022-2024) 3.2 Salary premium The salary premium analysis reveals substantial economic value associated with AI skills across all organizational levels (Figure 3). The study's findings indicated that AI skills are especially needed in 27.8% of knowledge workers' jobs, with a growth rate of 376% since the release of ChatGPT. Keywords: analysis; chatgpt; collaboration; data; evaluation; framework; human; knowledge; management; performance; quality; research; skills; systems; technology; vol; work
• Skin porosity geometry from the energy efficiency point of view; case study: an office building in Mashhad, Iran by Khayami, Sima; Daneshjoo, Khosro; Mahdavinejad, Mohammadjavad (2022) - Skin energy analysis results with the first geometry Table 3. Skin energy analysis results with the second geometry S Khayami /Future Technology May 2023| Volume 02 | Issue 02 | Pages 11-24 15 Figure 11. Keywords: analysis; building; consumption; daylight; energy; figure; geometry; kwh; loads; skin; skin energy
• Integrating panel data regression and fuzzy decision-making approaches to evaluate the impact of currency-hedged deposits on participating banks by Duran, Selman; Eti, Serkan; Yüksel, Serhat; Dinçer, Hasan (2025) - These models represent the fundamental structures used in panel data analysis. Moreover, based on the results in sub-periods and time-varying rolling forecasts, we conclude that hedging currency risk in portfolio management will become increasingly important during RMB internationalization. Keywords: analysis; banks; chd; currency; data; decision; effects; experts; model; panel; results; risk; study; total; values; variables
• Computer-aided innovation for intelligent product design: a text mining and knowledge management approach by Ganesh, S.M. Krishna ; Ghosh, Prolay ; Tiwari, Amit S. ; Deore, Bhushan S. ; Hirapara, Jignesh ; Hema, K. ; Misra, Debashis Dev (2025) - Collectively, these works provide evidence that CAI is on the path to AI-augmented, ontology-based, knowledge-graph-driven systems that can structure, interpret, and reuse design knowledge systematically. Additional features enabled designers to browse design knowledge, explore relevant ontology nodes, inspect previous solutions, and examine technical analogies. Keywords: analysis; cai; concepts; data; design; framework; innovation; knowledge; mining; ontology; principles; product; reasoning; system; technology; text; triz; user
• Research the association between AI-driven organizational support systems and university faculty work engagement: the moderating role of digital literacy by Qian, Zhixin ; Tamsang Andi Kele, Andi; Hong Loong, Ang ; Yeng Yuan, Pang (2025) - A comprehensive study [16] examined generative AI adoption strategies across 40 universities from six global regions, finding that institutions are proactively developing guidelines for ethical AI use, designing authentic assessments, and providing training programs to foster AI literacy among faculty and students. With 9-item multidimensional UWES-9 vigor, dedication, and absorption scale of AI support in teaching, research, and administration domains, hierarchical regression with simple slopes, it was found AI organizational support predicted positively work engagement significantly (β=0.425, p<0.001) and explained additional 18.6% variance after controlling for demographics; digital literacy moderated this highly significantly (β=0.168, p<0.01, ΔR²=0.026), and high digital literacy faculties exhibited 2.35 times stronger strength of relations between AI support and engagement than low digital literacy faculties, and moderation being the highest for vigor dimension (β=0.185); bootstrap analysis with resamples 5,000 and sample split validation confirmed stability of such effects. Keywords: analysis; digital; doi; education; effect; engagement; factor; faculty; interaction; items; literacy; model; research; support; systems; teaching; technology; theory; use; vol; work; work engagement
• Artificial intelligence and digital technologies for piano sight-reading skill development: a scoping review by Rui, Ruiqing; Syawal Amran, Muhammad; Mohamad Nasri, Nurfaradilla (2025) - Deep learning for pattern recognition Deep learning methods are particularly powerful analytical techniques for piano performance analysis, enabling beyond-error analysis of simple patterns and detailed commentary on musicality and technique. These databases were selected since they comprehensively cover the literature of computer science, engineering, and education technology. Keywords: analysis; applications; computer; data; education; instruction; learning; mobile; music; performance; piano; reading; reality; recognition; sight; studies; study; systems; technology
• Research on resilience enhancement mechanism of intelligent supply chain in digital transformation context: synergistic effect of IoT empowerment and edge computing by Yu, Zhicheng; Yu, Zhixin (2025) - Accepted 08 December 2025 Keywords: Supply chain resilience, Internet of Things, Edge computing, Technology collaboration, Dynamic capabilities *Corresponding author Email address: Yuzhixin2002@gmail.com DOI: 10.55670/fpll.futech.5.1.28 A B S T R A C T The empirical results show that the application level of either IoT technology or edge computing can significantly improve supply chain resilience, with remarkable synergistic effects when the two technologies are jointly adopted. Keywords: analysis; chain; chain resilience; complexity; computing; data; edge; edge computing; effect; firms; industry; interaction; iot; model; research; resilience; study; supply; supply chain; synergy; technology
• Machine learning model for predicting symptom improvement rates in hospitalized deep vein thrombosis patients by Zhou, Nan; Ng, Teck Han; Foo, Chai Nien; Ling, Lloyd; Lim, Yang Mooi (2025) - The 30% threshold follows established guidelines for clinical prediction models. 561-569, 2016. doi:10.2147/ppa.s104446 [26] A. Abdel-Hafez et al., Predicting therapeutic response to unfractionated heparin therapy: machine learning approach, Interactive Journal of Medical Research, vol. 11, no. 2, p. e34533, 2022. doi:10.2196/34533 [27] A. Shaikh et al., Six-month outcomes of mechanical thrombectomy for treating deep vein thrombosis: analysis from the 500-patient CLOUT registry, Cardiovascular and interventional radiology, vol. 46, no. 11, pp. Keywords: analysis; data; dvt; learning; machine; model; patients; prediction; shap; study; symptom; thrombosis; treatment; vein; vol

• Development and implementation of a wireless-controlled robotic arm for lifting applications with 6 DOF by Princewill, Nwadinobi Chibundo; Steve, Takim; Omawumi, Omajuwa Edesemi (2023) - Robotic arms function similarly to human arms yet have a much greater range of motion, as their design can only Future Technology Open Access Journal https://doi.org/10.55670/fpll.futech.3.1.3 February 2024| This offers a background look at robotic arms, from invention to current trend as well as simplification of design to make it more accessible to robotics enthusiasts. Keywords: arm; design; figure; issue; joint; robot; servo; technology; torque; volume; weight
• How do drones facilitate human life? by Urdaneta, Gerardo Antonio; Meyers, Christopher; Rogalski, Lauren (2022) - The second most important problem for drone delivery is its rechargeability. It was found from the survey that there was not much of a difference in the public opinion regarding drone use for civil or police purposes, in both cases the public showed concern about drones and their privacy. Keywords: agriculture; areas; delivery; drones; energy; enforcement; flight; inspection; methods; monitoring; path; remote; system; technology; time; traffic; use; vehicles
• Sustainable energy and digital currencies: challenges and future prospect by Hosseini, Seyed Ehsan; Kamyab, Hesam (2022) - [37], and residential buildings [38] was developed by several researchers, and the benefits of the PCMs in terms of energy- saving were highlighted; however, it has not been investigated in cryptocurrency mining process yet. Imran [58] pointed out that it is not correct to compare Blockchain mining energy consumption with VISA’s energy utilization per transaction because, while VISA consumes this energy specifically for the transaction, Bitcoin’s electricity consumption is dedicated to protecting all transactions dating back to 2010. Keywords: bitcoin; blockchain; btc; consumption; cryptocurrency; electricity; energy; future; generation; july; miners; mining; n.d; power; process; systems; technology
• Wastewater treatment plant and enhancing renewable energy production towards achieving environmental sustainability by Gökçekuş, Hüseyin ; Kassem, Youssef; Fahnbulleh, Abigail Z. K; Fallah Saah, Robert (2022) - Performance evaluation of waste water treatment plant. Hence in this situation, it is necessary for the community to invest more into reuse water treatment to reduce scarcity issues. Keywords: data; energy; environmental; issue; journal; percent; plants; production; scarcity; sludge; study; sustainability; systems; technology; treatment; wastewater; wastewater treatment; water; wwtps
• Multi-agent reinforcement learning for Bai ethnic traditional dwelling protection in Dali: cultural identity-oriented community relationship optimization and urbanization adaptation algorithm by Qian, Xiaohua; Ilan Mersat, Neilson; Hashim, Haslina; Wong Win Keong, Bemen (2025) - I C L E I N F O Article history: Received 30 May 2025 Received in revised form 10 July 2025 Accepted 19 July 2025 Keywords: Multi-agent reinforcement learning, Cultural heritage preservation, Cultural identity, Traditional architecture, Stakeholder coordination *Corresponding author Email address: qianxiaohua117@163.com DOI: 10.55670/fpll.futech.4.4.4 A B S T R A C T These challenges include the insufficient retention of landmarks due to competing stakeholder interests, which often leads to irreversible loss of cultural heritage. Keywords: agent; community; coordination; development; doi; effectiveness; figure; framework; heritage; identity; learning; performance; preservation; reinforcement; stakeholder; technology; traditional; vol
• Hundred percent renewable wastewater treatment plant: techno-economic assessment using a ret screen, case study Syria by Gokcekus, Huseyin; Kassem, Yousef; Mason, Momoh Ndorbor; Selay, James M. (2022) - Nicosia (via Mersin 10, Turkey), Cyprus 2Department of Mechanical Engineering, Engineering Faculty, Near East University, 99138 Nicosia (via Mersin 10, Turkey), Cyprus 3Energy, Environment, and Water Research Center, Near East University, 99138 Nicosia (via Mersin 10, Turkey), Cyprus 4Engineering Faculty, Kyrenia University, 99138 Kyrenia (via Mersin 10, Turkey), Cyprus 5Department of Environmental Engineering, Civil and Environmental Engineering Faculty, Near East University, 99138 Nicosia (via Mersin 10, Turkey), Cyprus A R T I C L E I N F O Article history: Received 07 August 2022 Received in revised form 12 September 2022 Accepted 20 September 2022 Keywords: Water resources, Renewable energy, Wind, Solar, Syria *Corresponding author Email address: momohm28@gmail.com DOI: 10.55670/fpll.futech.2.1.3 A B S T R A C T In regions prone to droughts, such as Syria, water shortages and urbanization increase the need for water to meet domestic, industrial, commercial, and agricultural demands. These findings were reached after a careful review of previous studies on water resources and wastewater management in Syria. Keywords: country; energy; groundwater; resources; review; study; syria; technology; treatment; wastewater; water; wind
• Research on intelligent regulation mechanisms of learner cognitive load in digital learning environments by Zhai, Jianxu; Gusti Putu Sudiarta, I; Hery Santosa, Made; Wayan Puja Astawa, I (2025) - Based on the mixed-methods design with 320 Dongcheng District students, the research uses established measures such as NASA-TLX adapted to e-learning environments to assess multidimensional patterns of cognitive load. The smart regulation system shows significant efficacy with lower socioeconomic students posting 15.3-point improvements in academic scores, task accomplishment rates enhanced by 32%, and the level of cognitive loads decreased by 23.1% on average across various types of learners. Keywords: data; doi; education; environments; learning; load; performance; policy; regulation; research; self; students; study; support; systems; technology; theory; tutoring; vol
• Trust and adaptiveness enhancements to PRFDRA for secure metaheuristic path selection in MANETs by Agor, Augustina Dede; Aziale, Lawrence Kwami ; Banaseka, Frank Kataka; Owusu-Agyemang, Kwabena ; Brown, Selasie Aformaley; Partey, Benjamin Tei (2025) - Equations (1) to (6) are original formulations developed in this study to quantify node trust. A distinct category involves metaheuristic routing with trust but partial adaptiveness, where trust mechanisms exist but are only loosely connected to the optimization process. Keywords: adaptiveness; attacks; energy; journal; manet; networks; node; optimization; path; prfdra; rfdtrust; routing; secure; security; selection; technology; trust
• Blockchain: a catalyst in fintech future revolution by Taherdoost, Hamed (2022) - The pandemic Covid-19 virus has inaugurated a new era of financial technology. The disease's rapid development has prompted individuals to actively adjust their daily activities, which has expanded the use of financial technology. Keywords: banking; blockchain; business; companies; contracts; defi; digital; finance; fintech; industry; metaverse; services; technology; transactions; web
• Pictogram semantics standardization for barrier-free drug packaging: deep-learning-assisted design guidelines by Li, Hui; Veto Vermol, Verly; Ahmad, Zulimran (2025) - Demographic distribution of elderly participants (N=200) Characteristic Category Frequency Percentage (%) Gender Male 92 46.0 Female 108 54.0 Age Group 60-65 years 68 34.0 66-70 years 75 37.5 71-75 years 42 21.0 76+ years 15 7.5 Education Level Primary or below 45 22.5 Middle school 82 41.0 High school 53 26.5 College or above 20 10.0 Residence Urban 128 64.0 Rural 72 36.0 Chronic Medication Use Yes 156 78.0 No 44 22.0 2.3 Deep learning model and validation This study employs a deep residual network (ResNet) for the semantic recognition of pharmaceutical packaging icons to objectively evaluate the recognizability of icon designs. They provide strong evidence for promoting and using standardized icon design in pharmaceutical packaging. Keywords: accuracy; contrast; design; distrust; doi; figure; icons; learning; medication; model; packaging; performance; pharmaceutical; recognition; research; resistance; risk; technology; users; vol
• Research on real-time data display and production management in a digitalized management factory with an artificial intelligence-assisted flexible manufacturing execution system by Tsai, ChengHsien; Oyyappa, Oyyappan; Abbas Ali, Dhakir (2025) - The findings challenge existing assumptions regarding the trade-off between flexibility and efficiency in manufacturing systems. [9] M. Liu, S. Fang, H. Dong, and C. Xu, Review of digital twin about concepts, technologies, and industrial applications, Journal of manufacturing systems, vol. 58, pp. Keywords: architecture; data; design; doi; efficiency; equipment; framework; implementation; industry; integration; intelligence; latency; layer; manufacturing; mes; minutes; monitoring; performance; points; processing; production; quality; research; system; technology; time; visualization; vol
• AI-enabled factors influencing cultural heritage conservation and tourism development towards tourist experience quality by Long, Ying; Pimchangthong, Daranee; Li, Kang (2025) - This research examines the impact of AI technology on the quality of tourist experiences at cultural heritage sites, utilizing an integrated Technology- Organization-Environment (TOE) framework. Theoretical contributions include the validation of the integration of TOE-SDL, the identification of value paths, while the practical contributions include the application of the study in drawing insights on strategies for the integration of AI technology with the conservation, management, or even the protection of the heritage structures or units, depending on the context. Keywords: conservation; effects; experience; factors; heritage; model; quality; readiness; sites; technology; teq; tourism; value; visitor
• Research on optimization strategies of future technology-driven intelligent collaboration systems for remote employee work engagement by Wang, Jia (2025) - The theoretical framework illustrates multi-level mechanisms: intelligent collaboration systems impact work engagement through two mediating channels—workload reduction and autonomy enhancement—moderated by AI literacy at the individual level and organizational support at the contextual level. Accepted 21 November 2025 Keywords: Intelligent collaboration systems, Remote work, Work engagement, Optimization strategies *Corresponding author Email address: jwangez@connect.ust.hk DOI: 10.55670/fpll.futech.5.1.18 A B S T R A C T Keywords: autonomy; collaboration; collaboration systems; data; design; effects; employees; engagement; fit; human; job; level; literacy; model; research; resources; support; systems; task; technology; theory; work; work engagement; workers; workload
• Futuristic applications of voice user interference on child language development by George, Jomin; Abraham, Aju; Ndakukamo, Elizabeth (2023) - User interface design and application are most effective as an iterative process, with interfaces tested analytically on groups of children users, then amended as shortcomings are detected and rectified, and then retested until system performance is balanced and adequate [21]. Second, information from child users must be collected for quantifying the unpredictability present in their speech and to teach and test models for automatic speech recognition (ASR) and spoken language understanding (SLU). Keywords: children; communication; conversation; design; development; human; interaction; language; language development; learning; research; speech; technology; user; voice; vui; young

• Hybrid contrast-limited adaptive histogram equalization and Deep Learning techniques for improving liver tumor detection by R, Priyah R; Kamalakkannan, S. (2025) - This study proposes a novel approach to liver tumor detection using a hybrid framework that integrates task-specific GANs to generate realistic tumor patterns with CLAHE for contrast enhancement of liver tumor images. CLAHE effectively increases contrast in liver images, making tumors more apparent and improving feature extraction. Keywords: accuracy; cancer; clahe; cnn; contrast; data; detection; feature; hybrid; image; imaging; learning; liver; models; segmentation; tumor
• Digital-enhanced talent cultivation mechanisms in entrepreneurial universities: an AI-integrated multi-level analysis of student entrepreneurial intentions by Lyu, Zhiyuan; Kamin, Yusri (2025) - University student entrepreneurial intentions: the effects of perceived institutional support, parental role models, and entrepreneurial self-efficacy. Theoretical framework and research hypotheses This study develops a multi-level framework synthesizing institutional theory with human resource development (HRD) principles to examine talent cultivation mechanisms' impact on student entrepreneurial intentions in entrepreneurial universities. Keywords: cultivation; development; digital; education; entrepreneurship; entrepreneurship education; factors; intentions; learning; mechanisms; students; talent; universities; university
• Innovative applications of big data and simulation technologies in the optimization design of crash safety for autonomous vehicles: a systematic review from a biomechanical aspect by Sun, Lingxiao (2025) - Related works Research on autonomous vehicle safety has developed rapidly in recent years, with efforts spanning sensing technologies, big-data analytics, machine learning, simulation, and occupant biomechanics. To synthesize the results across different methodological approaches, Table 1 provides a comparative summary of the main advantages, limitations, and applications of big data analytics, machine learning, simulation technologies, and biomechanics in the context of autonomous vehicle safety. Keywords: biomechanics; collision; crash; data; doi; learning; machine; models; risk; safety; simulation; traffic; vehicle
• Innovative approaches to software defect prediction using ensemble learning models by Tamrakar, Prashant Kumar ; Roy, Deepjyoti ; Agarwal, Preeti ; Ghemas, Mohammed Fikery ; Ghosh, Snigdha Madhab ; K.S, Rekha. ; Mohil, Meenu (2025) - To assess whether integrating Recursive Feature Elimination and mutual-information feature ranking enhances generalization and mitigates overfitting in software defect prediction models. One of the studies has empirically evaluated optimization methods of predicting the number of defects in software and concluded that the benefit of tuning hyperparameters was a significant ingredient in software model accuracy, especially in neural and ensemble models [13]. Keywords: accuracy; cm1; datasets; defect; doi; ensemble; feature; learning; machine; model; performance; prediction; selection; software; software defect; vol
• Optimized cycle time forecasting in semiconductor wafer fabrication via hierarchical transfer learning and hyperparameter optimization by Kumar, Kanaparthi Anil ; Hemachandran , K. (2025) - 2.3 Hyperparameter optimization and federated learning The increasing scale and depth of deep learning models necessitate effective hyperparameter optimization (HPO) techniques to achieve generalization and avoid overfitting. Their findings reinforce that forecasting models must integrate both data-driven intelligence and uncertainty management to support robust decision-making. Keywords: cycle; data; forecasting; hpo; htl; hyperparameter; learning; manufacturing; model; optimization; process; semiconductor; time; transfer; wafer
• Multi-source field sensor data fusion based on cross modal attention mechanism and reinforcement learning driven pesticide application optimization model: towards sustainable crop protection by Zhang, Minkuan (2025) - Accepted 06 October 2025 Keywords: Cross-modal attention, Reinforcement learning, Multi-source sensor fusion, Precision agriculture, Sustainable crop protection *Corresponding author Email address: minkuan0316@gmail.com Figure 5 illustrates the convergence of training rewards, where the proposed model reaches stability faster and with smaller fluctuations than DRL-Spray, highlighting the effectiveness of cross-modal attention in accelerating learning. Keywords: agriculture; attention; crop; cross; data; doi; field; figure; fusion; learning; modal; module; multi; optimization; pest; pesticide; precision; reinforcement; sensor; soil; spraying
• Exploring various neural network configurations for the NN- based MPC in Multiagent System by Chaubey, Piyush ; Markana, Anilkumar ; Vyas, Dhaval ; Goyal, Deepak Kumar (2025) - Collectively, these research investigations demonstrate that MPC is ideal for applications like autonomous vehicles, cooperative robotics, and UAV swarms because it not only guarantees precise leader tracking but also offers a methodical approach to integrating safety, constraints, and optimal performance into leader–follower consensus control. [17] proposed an event-triggered impulsive control scheme capable of handling packet loss in leader–follower networks, achieving the consensus using the Lyapunov stability theory, where sufficient criteria are identified to realize leader–follower quasi-consensus, ensuring reliable consensus under intermittent communication links. Keywords: agent; architecture; communication; consensus; control; follower; leader; learning; mpc; network; position; state; systems
• Multimodal fusion and AI context awareness in smart kitchens: deep learning for personalized recommendation and real-time monitoring by Li, Jiaying; Yim, Jinho (2025) - Vision- and speech-based systems offer natural interaction yet lack robustness; IoT sensor systems excel at monitoring but are semantically narrow; and personalized recommenders provide user-centered insights but are contextually static [15]. The parameter count was 500,000, with IoT sensor data as input. Keywords: attention; data; framework; fusion; interpretability; iot; learning; model; multimodal; recommendation; reinforcement; sensor; systems; user
• An efficient novel deep learning-based predicting model optimized by an improved DAOA algorithm for microgrid energy management by Almousawi, Ali Q.; Aklo, Nabil Jalil ; Alhadrawi , Zaid (2025) - References [1] Khalid, M, ‘Smart grids and renewable energy systems: Perspectives and grid integration challenges’ Energy Strategy Reviews, 51, 101299, 2024. 1. Introduction Examples of renewable energy generation systems that have recently gained popularity are Wind turbines (WT) and photovoltaic (PV) systems Keywords: data; doi; energy; figure; forecasting; idaoa; learning; load; lstm; management; microgrid; model; network; optimization; performance; power; prediction; values

• Reliability assessment and accelerated life testing in a metalworking plant by Wofuru-Nyenke, Ovundah (2024) - It can be seen that with customers increased demand for high-quality and reliable products delivered on time, reliability assessments are an indispensable tool for production companies to meet customer demand. Reliability assessment can be achieved through extensive testing using several techniques such as failure mode and effect analysis, Petri nets, fuzzy logic neural networks, etc. Keywords: components; failure; life; metalworking; model; parallel; plant; reliability; stations; time
• The application of the Bayesian linear regression model to optimize the maintenance of a programmable logic controller by Obele, Alenju Frank; Aikhuele, Daniel O. ; H.U, Nwosu (2024) - Although several authors have proposed and developed models for the management of maintenance, longevity, and reliability of the PLC systems [1- 5]; however, there are still limited studies, on the specific subjects of maintenance optimization for PLC systems. [5] and Nicolai & Dekker [3] considered the planning horizon when categorizing the different optimization methods where they were classified into models for finite periods; however, they didn’t consider the exploration of maintenance optimization. Keywords: data; distribution; linear; maintenance; model; regression; reliability; system
• Investigation and optimization of process parameters in the electrical discharge machining process for Inconel 660 using response surface methodology by Singh, Kunal ; Pal Singh, Kishan ; Khan, Mohd. Yunus (2025) - [22] S. Dhanabalan ,K. Sivakumar&C.Sathiya Narayanan, Analysis of Form Tolerances in Electrical Discharge Machining Process for Inconel 718 and 625;Mat and Manf Process:252-259 [23] Luis C. J. , A. Torres, I. Puertas “Analysis of the influence of EDM parameters on surface finish, material removal rate, and electrode wear of an Inconel 600 alloy; The Int J of Adv. [39] Thakur A. , Rao P.S., MohdYunus Khan, Study and optimization of surface roughness parameter during electrical discharge machining of titanium alloy (Ti- 6246),Mat Today Proc ;2020: 1-9. Keywords: discharge; edm; electrode; inconel; machining; model; mrr; parameters; process; rate; surface
• Optimized PID control for automated blood pressure management in post-operative care by Anbazhagan, Jegatheesh; Kar , Siddheswar ; Krishna Prakash Arunachalam; Koithyar, Aravinda (2025) - I C L E I N F O Article history: Received 30 March 2025 Received in revised form 12 May 2025 Accepted 25 May 2025 Keywords: Blood pressure, Sodium nitroprusside, Prairie dog optimization, Proportional-integral-derivative controller, Infusion pump *Corresponding author Email address: jegatheeha@gmail.com DOI: 10.55670/fpll.futech.4.3.2 A B S T R A C T Maintaining optimal Blood Pressure (BP) is vital, as abnormal BP levels pose substantial challenges to patient recovery in post-operative care. Even with the introduction of numerous antihypertensive medications in recent decades and the identification of numerous traditional risk factors for hypertension, blood pressure (BP) management in modern society remains suboptimal, with one-fourth of hypertension sufferers failing to meet optimal BP targets Keywords: blood; controller; doi; drug; figure; infusion; map; model; pdo; pid; pressure; system; time; vol; 𝑀𝑎𝑥𝑖𝑡𝑒𝑟
• Cascade CNN: a two-stage segmentation framework for efficient and accurate brain tumor segmentation in multi-modal MRI by Vamsikrishna, Mangalapalli; Chin-Shiuh Shieh (2025) - In conclusion, C-CNN is more effective and efficient than other models when it comes to brain tumor segmentation, which we show with experiments we ran on the BraTS 2023 dataset. The generated image presented in Figure 8 provides a side-by-side comparison of tumor segmentation results across three different models: U- Net, nnU-Net, and C-CNN. Keywords: cascade; cnn; coarsenet; dice; figure; image; model; mri; net; nnu; refinenet; segmentation; stage; tumor; tumor segmentation
• FNet-GPT: Fourier-based lightweight transformer for emotion-aware text generation using GPT by Kachare, Atul; Goswami, Chandrashekhar; Gupta, Ashutosh; Chouhan, D.S. (2025) - Comparison with other existing emotional story generation models: FNet-GPT differentiates itself from AffectStory A skeleton-based model for promoting coherence among sentences in narrative story generation. Keywords: coherence; dataset; doi; emotion; fnet; fourier; generation; language; model; narrative; stories; story; system; text
• Energy in buildings: A review of models on hygrothermal transfer through the porous materials for building envelope by Ndukwu, Macmanus Chinenye ; Simo-Tagne, Merlin ; Ekop, Ifiok Edem; Ibeh, Matthew. I.; Allen, Maureen .A.; Abam, Fidelis. I.; Bennamoun, Lyes; Kharchi, Razika (2023) - [78] towed this line in presenting the recent trends in the experimental validation of hygrothermal transfer models, but the specific equations were lacking in their presentations. Schematics of the review process Energy and moisture transfer in buildings: A review of hygrothermal transfer models through the porous building walls Literature sourcing Models for concrete and brick walls Models for woods Discussion Conclusion MC Ndukwu et al. /Future Keywords: building; conditions; energy; equations; et al; heat; hygrothermal; mass; mass transfer; materials; model; moisture; moisture transfer; numerical; temperature; transfer; walls; water; wood; 𝜕𝑇 𝜕𝑡

• Design and implementation of a dual-axis sun tracker for an Arduino-based micro-controller photovoltaic system by Lin Fung Wong; Nabipour Afrouzi, Hadi; Tavalaei, Jalal (2024) - This implies that Malaysia receives a significant amount of solar radiation throughout the year, making solar energy a viable energy source. Solar energy is one of the renewable energy sources in this situation, and it can be pragmatically fitted because it is an affordable, clean, and green energy source that is broadly used anywhere. Keywords: arduino; dast; energy; output; power; solar; sun; system
• Hybrid boost-cuk converter with bat-chicken swarm-optimized PI controller for photovoltaic grid systems by Hema, S.; Sreedevi, S.; Harinath Reddy, K.; Kar, Siddheswar ; Nagarajan, Ananthan ; Sengottaian, S. (2025) - The Quadratic Boost Converter, which achieves high voltage gain with a single switch, is represented by S. Chitra Selvi et al. Technology May 2025| Volume 04 | Issue 02 | Pages 11-21 11 Article Hybrid boost-cuk converter with bat-chicken swarm-optimized PI controller for photovoltaic grid systems S. Hema1*, S. Sreedevi2, K. Harinath Reddy3, Siddheswar Kar4, Ananthan Nagarajan5, S. Sengottaian6 1Department of Biomedical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai-600062, India 2Department of Electrical and Electronics Engineering, Sriram Engineering College, Perumalpattu - 602 024, India 3Department of Electrical and Electronics Engineering, Annamacharya University, Rajampet, India 4Department of Electrical Engineering, Medi-Caps University, Indore, Madhya Pradesh, India 5Department of Electrical and Electronics Engineering, Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai 62, India 6Department of Electrical and Electronics Engineering, Viswam Engineering College, Madanapalle-517 325, Andhra Pradesh A R T I C L E I N F O Article history: Received 10 February 2025 Received in revised form 14 March 2025 Accepted 26 March 2025 Keywords: PV system, Hybrid Boost-Cuk converter, Bat-Chicken swarm optimized PI controller, BESS, 3ϕ VSI *Corresponding author Email address: hemas04517@gmail.com DOI: 10.55670/fpll.futech.4.2.2 A B S T R A C T Recently, the reduction of greenhouse gas emissions and fuel consumption has been attended to by adopting the Photovoltaic (PV) system. Keywords: boost; controller; converter; current; energy; figure; grid; power; system; voltage
• Environmental and economic comparison of hydrogen fuel cell and battery electric vehicles by Habib, A K M Rubaiyat Reza; Butler, Karyssa (2022) - The transportation sector of the GHG emissions could be easily fixed with the use of hydrogen fuel cells or battery electric vehicles. Like the ICE, hydrogen fuel cell vehicles only take three to five minutes to refill. Keywords: batteries; battery; bev; carbon; cell; cost; electric; electricity; emissions; energy; fuel; gas; hydrogen; production; vehicles; volume
• Harnessing wind and solar power for electric vehicle charging: a feasibility study at Ikas supermarket, Lefkosa, Northern Cyprus by Kassem, Youssef; Çamur, Hüseyin; Hussein, Ahmad (2025) - These datasets cannot be used to assess the effectiveness of wind and solar energy systems for particular areas until such validation has taken place. Technology August 2025| Volume 04 | Issue 03 | Pages 204-215 204 Article Harnessing wind and solar power for electric vehicle charging: a feasibility study at Ikas supermarket, Lefkosa, Northern Cyprus Youssef Kassem1,2,3*, Hüseyin Çamur 1, Ahmad Hussein1 1Department of Mechanical Engineering, Engineering Faculty, Near East University, 99138 Nicosia (via Mersin 10, Turkey), Cyprus 2Energy, Environment, and Water Research Center, Near East University, 99138 Nicosia (via Mersin 10, Turkey), Cyprus 3Science, Technology, Engineering Education Application, and Research Center, Near East University, 99138 Nicosia (via Mersin 10, Turkey), Cyprus A R T I C L E I N F O Article history: Received 25 April 2025 Received in revised form 08 June 2025 Accepted 17 June 2025 Keywords: Electric car, Renewable resource, Cost-benefit analysis, Solar energy, Wind energy *Corresponding author Email address: Keywords: charging; electric; energy; evs; hybrid; kwh; number; power; renewable; solar; system; u t; vehicles; w h; wind
• Occupants’ satisfaction with STPV window design in private and open spaces by VR images by Chen, Zhan; Utaberta, Nangkula; Zainordin, Nadzirah (2025) - 50 F Unacceptable Not Acceptable 2.4 Measurement of occupants’ satisfaction for different STPV CCR Following the IPQ survey, a subsequent questionnaire was administered to assess occupant satisfaction levels regarding indoor lighting conditions and spatial perception under different CCR configurations. For both spatial configurations, occupant satisfaction levels decreased as CCR increased. Keywords: building; ccr; configurations; energy; environment; offices; satisfaction; spaces; spatial; stpv
• Climate change, water resources, and wastewater reuse in Cyprus by Gökçekuş, Hüseyin; Kassem, Youssef; Quoigoah, Marcus P.; Aruni, Prisca Nashon (2022) - | Pages 01-12 1 Review Climate change, water resources, and wastewater reuse in Cyprus Hüseyin Gökçekuş 1,3,4, Youssef Kassem 1,2,3,4, Marcus P. Quoigoah 5*, Prisca Nashon Aruni5* 1Department of Civil Engineering, Civil and Environmental Engineering Faculty, Near East University, 99138 Nicosia (via Mersin 10, Turkey), Cyprus 2Department of Mechanical Engineering, Engineering Faculty, Near East University, 99138 Nicosia (via Mersin 10, Turkey), Cyprus 3Energy, Environment, and Water Research Center, Near East University, 99138 Nicosia (via Mersin 10, Turkey), Cyprus 4Engineering Faculty, Kyrenia University, 99138 Kyrenia (via Mersin 10, Turkey), Cyprus 5Department of Environmental Engineering, Civil and Environmental Engineering Faculty, Near East University, 99138 Nicosia (via Mersin 10, Turkey), Cyprus A R T I C L E I N F O Article history: Received 05 August 2022 Received in revised form 04 September 2022 Accepted 08 September 2022 Keywords: Water, water resources, climate change, wastewater reuse, Cyprus *Corresponding author Email address: Focusing on water resources, the study was done in Cyprus. Keywords: change; climate; collection; cyprus; data; demand; energy; groundwater; management; resources; solar; supply; wastewater; water; water resources; wind
• Experimental investigation of gamma Stirling refrigerator to convert thermal to cooling energy utilizing different gases by Asemi, Hamidreza; Daneshgar, Sareh; Zahedi, Rahim (2022) - Owing to their advantages of high overall thermal efficiency, fuel flexibility, low noise and vibration, and low emissions, Stirling engines are promising candidates for micro-CCHP systems. The Stirling Cycle is one of the thermodynamic cycles that is close to the Carnot cycle in terms of theory, and these advantages cause to use of Stirling engines in wide industries. Keywords: air; cooling; energy; engine; figure; fluid; gas; heat; power; pressure; stirling; stirling engine; temperature
• AI-enabled toward zero-emission buildings and clean mobility: PV–BIPV and battery storage integration: a case study of Diyala, Iraq by Kassem, Youssef ; Çamur , Hüseyin ; Aldayyeni, Ali Saad ; Abdelnaby, Abdalla Hamada Abdelnaby (2025) - 2.6 Economic viability and carbon mitigation analysis Evaluating the economic viability of renewable energy projects, such as solar energy systems, is essential to ensure financial sustainability and environmental stewardship. Modern advancements of energy storage systems integrated with hybrid renewable energy sources for water pumping application. Keywords: bipv; building; electricity; energy; figure; grid; iraq; kwh; photovoltaic; power; rooftop; scenario; solar; study; systems; 𝐶𝑂2
• Design, fabrication, and performance assessment of a novel solar air heater based on recycled materials by Hajizadeh Aghdam, Abolfazl; Rezaei, Parisa ; Baraheni, Mohammad (2023) - Accepted 26 February 2023 Keywords: Soda cans , Solar air heater, Thermal efficiency, Irreversibility, Exergetic efficiency *Corresponding author Email address: abolfazl_hajizade@yahoo.com DOI: 10.55670/fpll.futech.2.4.2 A B S T R A C T In this paper, a solar air heater (SAH) is designed using recyclable materials, and its performance is analyzed. This parameter plays an important role in the designing of solar air heaters. Keywords: air; cans; energy; heat; intensity; radiation; soda; thermal; tins

• Digital marketing integration and educational product innovation: the mediating effect of organizational innovation climate by Liang, Xinrui; Mohd Hirwani Wan Hussain, Wan; Abdul Kadir, Rabiah (2025) - These innovations, as well as digital marketing innovations, are interdependent, especially within an educational framework. [2] G. A. Athaide, et al., Marketing innovations and digital technologies: A systematic review, proposed framework, and future research agenda, Journal of Product Innovation Management, vol. Keywords: climate; effect; innovation; innovation climate; innovation performance; institutions; marketing; performance; product; product innovation

• An effective power quality enhancement system for integrated photovoltaic cells utilizing cascaded ANFIS in a unified power quality conditioner by Kandukuri, Saritha; Guguloth, Ramesh ; Sivakumar, A.; Shivasankkar, I. ; Nagarajan, Ananthan ; Janaki, N. (2025) - Waveform of developed converter output voltage using cascaded ANFIS MPPT controller Figure 15. Technology August 2025| Volume 04 | Issue 03 | Pages 171-181 171 Article An effective power quality enhancement system for integrated photovoltaic cells utilizing cascaded ANFIS in a unified power quality conditioner Saritha Kandukuri1*, Ramesh Guguloth2, A. Sivakumar 3, I. Shivasankkar4, Ananthan Nagarajan5, N. Janaki6 1Department of Electrical and Electronics Engineering, Eklavya University, Damoh, Madhya Pradesh, 470661 2Department of Electrical and Electronics Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana- 501301, India 3Department of Electrical and Electronics Engineering, Panimalar Engineering College, Nazerthpattai, Poonamalle, Chennai, 600 123, India 4Department of Electrical and Electronics Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, 605107, India 5Department of Electrical and Electronics Engineering, Vel Tech Multi Tech, Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai-62, India 6Department of Electrical and Electronics Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, India A R T I C L E I N F O Article history: Received 22 April 2025 Received in revised form 04 June 2025 Accepted 14 June 2025 Keywords: Unified Power Quality Conditioner, Artificial Neural Network controller, PV system, Keywords: anfis; controller; converter; current; figure; load; power; series; shunt; system; upqc; voltage; 𝑉𝑑𝑐

• Next generation of advanced ceramic 3D printers by Choppala, Sam; Allam, Armin; Fang, Zichen; Armani, Amir (2022) - [17] used a convolutional neural network (CNN) to detect common printing defects and a closed-loop feedback system such that the defects detected would alter the print settings for fused filament fabrication (FFF). These updates to the print settings serve as forms of solutions to fix common printing defects in real time. Keywords: ceramic; code; defects; layer; mesa; printing; process; step; time; vol

• Electric vehicles’ powertrain systems architectures design complexity by Banagar, Isa; Mahmoudzadeh Andwari, Amin; Mehranfar, Sadegh; Könnö, Juho; Kurvinen, Emil (2023) - I C L E I N F O Article history: Received 01 December 2022 Received in revised form 30 December 2022 Accepted 03 January 2023 Keywords: Hybrid electric vehicle, Battery electric vehicle, Powertrain system, Power management *Corresponding author Email address: amin.mahmoudzadehandwari@oulu.fi DOI: 10.55670/fpll.futech.2.3.1 [5] B. Zhang, J. Zhang and T. Shen, Optimal control design for comfortable-driving of hybrid electric vehicles in acceleration mode, Appl. Keywords: design; electric; hybrid; powertrain; vehicles

• Optimizing weighted voltage mode control for enhanced output cross-regulation in multi-output DC/DC converters by Safarishaal, Masoud; Sarvi, Mohammad (2023) - Output voltage regulation while load changes at +5 v output from 100% TO 50% Method Regulation (%) at t=6 ms Regulation (%) at t=16 ms +15V +5V -15V +15V Output voltage regulation while load changes at +15 v output from 100% to 200% Method Regulation (%) at t=6 ms Regulation (%) at t=16 ms +15V +5V -15V +15V Keywords: control; converter; factors; fuzzy; ica; method; optimization; output; regulation; voltage; weighting

• Classification of vanilla by quality using MOS gas sensors: assessing the effectiveness of wavelet time-frequency analyzer by Wee, Sherlyn Cheryl May Xin ; Lee, Hui En ; Chua, Hong Siang (2024) - To tackle adulteration effectively and economically, this study proposes employing a single-stage classification model trained using the transient response of an electronic nose (e-nose) equipped with four metal oxide semiconductor (MOS) gas sensors with Principal Component Analysis (PCA) and machine learning classification models to sample vanilla from various countries (Indonesia & Madagascar) and grades (Grade A & B). Vanilla samples from Indonesia and Madagascar, categorized into different grades (A and B), have been prepared for this purpose. Keywords: 20/20; accuracy; classification; method; models; network; stage; validation; vanilla

• Physics-based dynamic simulation opportunities with digital twins by Kurvinen, Emil; Mahmoudzadeh Andwari, Amin; Könnö, Juho (2022) - With the active development of the modeling techniques and requirements for measurements becoming clearer, the gap between simulation models and reality is getting smaller. Simulation model to investigate effect of support stiffness on dynamic behaviour of a large rotor. Keywords: development; dynamics; machine; models; physics; simulation
• Intellectual property protection, digital economy development, and corporate green innovation: threshold effects and regulatory mechanisms by Pan, Jun; Said, Rusmawati; Ismail, Normaz Wana (2025) - Figure 5 shows that the level of IP protection is negatively correlated with the number of green innovations (solid line decreasing) in a low digital economy environment (blue dots), while the relationship is relatively flat (dashed level) in a high digital economy environment (pink triangles), implying that the level of digital economy development may modulate the effect of IP protection on green innovation. Distribution of green innovation quality (Note: Data source: EPS database, CSMAR database, and wind database) Figure 3. Keywords: agency; development; economy; effect; green; innovation; intellectual; ipr; level; moderating; property; property protection; protection; quality; regime; threshold

• Earthquake, flood and resilience management through spatial planning, decision and information system by Estelaji, Faraz ; Moniri, Niloofar; Yari, Mohammad Hossein ; Omidifar, Reza; Zahedi, Rahim; Yousefi, Hossein; Keshavarzzadeh, Mansour (2023) - Suggestions for increasing earthquake resilience are: • [29] Meshkini, A., et al., The role of land use patterns in earthquake resilience: a case study of the Ahvaz Manba Ab neighborhood. Keywords: areas; criteria; disaster; earthquake; et al; factors; flood; lorestan; planning; reduction; resilience; risk
• Emergency action plan for Haditha dam failure scenario, Al-Anbar, Iraq by Hamid , Yasmeen ; Ghasemlounia, Redvan ; Mohammed, Thamer; Al-Ansi , Abdulwahab (2025) - Dam failures pose serious threats to human lives, property, and the surrounding environment. The analysis of dam failures is of paramount importance for engineers as it provides crucial information on failure modes informing causes. Keywords: a.s.l; areas; dam; dam failure; dams; downstream; elevation; emergency; failure; flood; haditha; haditha dam; level; risk; seepage; water

• Water footprint assessment of animal-based and plant-based products in Iran by Kassem, Youssef ; Gökçekuş, Hüseyin; Karimi Kouzehgarani, Javad (2022) - Nicosia (via Mersin 10, Turkey), Cyprus A R T I C L E I N F O Article history: Received 03 May 2022 Received in revised form 03 June 2022 Accepted 07 June 2022 Keywords: Water footprint, Blue Water, Green Water, Grey Water, Food production, Iran *Corresponding author Email address: javad.karimi.kou@gmail.com DOI: 10.55670/fpll.futech.1.2.2 A B S T R A C T In recent years, the majority of the Middle Eastern nations have been suffering from water scarcity, and Iran is not an expectation in this matter. Given the fact that it is not possible to have a precious estimation of water footprint related to fish and other seafood, all the seafood consumption was converted to poultry which is the closest to seafood regarding the nutrients value and affordability. Keywords: consumption; food; footprint; iran; production; products; resources; total; water

• Agenda setting theory in the digital media age: a comprehensive and critical literature review by Almakaty, Safran Safar (2025) - [64] proved this dynamic change by finding that tweets from political figures could shape media agendas. The results are complicated, though; other studies indicate Twitter mostly reflects and magnifies current media agendas instead of directly creating them Keywords: agenda; ast; communication; doi; influence; information; issue; level; media; network; news; online; public; setting; studies; vol

• Potential measurement and spatial priorities determination for gas station construction using WLC and GIS by Estelaji, Faraz; Naseri, Alireza; Keshavarzzadeh, Mansour; Zahedi, Rahim; Yousefi, Hossein; Ahmadi, Abolfazl (2023) - 4.2 Location assessment of gas stations In general, the optimal location of gas station centers is one of the crucial issues affecting the city's economy from various dimensions. Effective parameters in the location of gas station stations Compatible parameters Fire stations: the potential and risk of danger in different areas of the city, according to the number and frequency of incidents, leads to identifying vulnerable points in fire incidents and places with high potential [20]. Keywords: areas; criteria; district; gas; gas stations; location; method; research; stations; tehran; urban

• Alternatives to lithium-ion batteries in electric vehicles by Habib, A K M Rubaiyat Reza ; Butler, Karyssa (2022) - The increase in demand for battery electric vehicles calls for a large need for improvements in the technology for these vehicles. Lithium batteries have also been found to cause fires in landfills when not disposed of properly. Keywords: batteries; battery; electric; lithium; sodium

• Interaction between infrastructure and climate change on buildings, roads, and bridges in developed and developing countries: a case of Japan and Mozambique by Gökçekuş, Hüseyin; Kassem, Youssef; Andaque, Heronilda Halima Salé (2023) - The bridge was reconstructed by using a steel structure to withstand climate change impacts in the North of Mozambique [18] 3.1.6 Solutions adopted to Japan Rapid development has resulted in the eradication of agricultural areas and woods, which naturally help to collect and absorb rainwater. This research aims to investigate the effects of climate change on roads, buildings, and bridges infrastructures and provide solutions adopted in developed and developing countries to reduce or mitigate the impact of climate change on infrastructures. Keywords: bamboo; bridges; buildings; change; climate; climate change; figure; japan; mozambique; temperature; years

• Evaluation of cumulative radiation exposure among dental workers at Usmanu Danfodiyo University Teaching Hospital, Sokoto, Nigeria by Ibrahim, Ahmadu (2024) - | Issue 04 | Pages 22-24 22 Perspective Evaluation of cumulative radiation exposure among dental workers at Usmanu Danfodiyo University Teaching Hospital, Sokoto, Nigeria Ahmadu Ibrahim* Department of Physics, Usman Danfodiyo University, Sokoto, Sokoto state, Nigeria A R T Understanding cumulative radiation exposure among dental workers is crucial for several reasons. Keywords: dose; exposure; msv; radiation; workers

• Analyzing process variables for WEDM of Nimonic alloy 75 with a cryogenic treated tool: Research article by G, Saidulu ; Prasanna, P (2025) - Accepted 24 September 2025 Keywords: Wire Electric Discharge Machining (WEDM), Taguchi orthogonal technique, Material remova rate (MRR), Vertex Angle, Micro Hardness and Cryogenic treated brass wire *Corresponding author Email address: gilla.saidulu@gmail.com DOI: 10.55670/fpll.futech.5.1.1 A B S T R A C T [22] J. Kapoor, S. Singh, and J. S. Khamba, “Effect of cryogenic treated brass wire electrode on material removal rate in wire electrical discharge machining,” Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, vol. 226, no. 11, pp. Keywords: alloy; brass; brass wire; cryogenic; figure; machining; mrr; toff; ton; tool; vertex; wire

• Towards fossil-free fuels in sustainable powertrain; alcohol-fueled low-temperature combustion (LTC) by Gharehghani, Ayat; Mahmoudzadeh Andwari, Amin (2022) - Alcohol fuels have been more of interest among other types of LRFs for LTC engine application in several studies. As mentioned, the presence of fuel oxygen content in alcohol fuels resulted in complete combustion leading to lower CO and uHC emissions. Keywords: combustion; emissions; engine; ltc

Epilogue

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Created: 2025-12-23