Optimal Battery Sizing in Photovoltaic Based Distributed Generation Using Enhanced Opposition-Based Firefly Algorithm for Voltage Rise Mitigation by Ling Ai Wong, Hussain Shareef, Azah Mohamed, Ahmad Asrul Ibrahim

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A Computational Intelligence Framework Integrating Data Augmentation and Meta-Heuristic Optimization Algorithms for Enhanced Hybrid Nanofluid Density Prediction Through Machine and... by Priya Mathur, Hammad Shaikh, Farhan Sheth, Dheeraj Kumar, Amit Kumar Gupta

“…The findings underscore the synergy of advanced data augmentation, meta-heuristic optimization, and modern predictive algorithms in modelling hybrid nanofluid density with unprecedented precision. …”
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Behavioral Correlation-Based Residential Space Modularization Using Design Structure Matrix and Fuzzy C-Means Clustering Algorithm by Fanbo Zeng, Xiaojun Rao, Jianhua Lei, Xujie Huo, Yuan Shi, Deng Ai

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Optimization of anti-MRSA compound production by Streptomyces sp. AR05 using an integrated RSM-ANN-GA approach by Fateh Merouane, Amani Kifadji, Racha Mansouri, Meroua Safa Mechouche, Chemes El-Houda Messaad, Anfal Bellebcir

“…AR05; a strain isolated from hydrocarbon-contaminated soil, using an integrated approach combining response surface methodology (RSM), artificial neural networks (ANN), and genetic algorithms (GA). …”
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Integrating artificial intelligence in healthcare: applications, challenges, and future directions by Peng Lean Chong, Vikneswaran Vaigeshwari, Basir Khan Mohammed Reyasudin, binti Ros Azamin Noor Hidayah, Purnshatman Tatchanaamoorti, Jian Ai Yeow, Feng Yuan Kong

“…Despite these advancements, AI integration faces challenges related to data privacy, algorithm bias, and regulatory concerns. …”
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Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective S... by Fagen Xie, Robert S Zeiger, Mary Marycania Saparudin, Sahar Al-Salman, Eric Puttock, William Crawford, Michael Schatz, Stanley Xu, William M Vollmer, Wansu Chen

“…ObjectiveThe study aims to develop a natural language processing (NLP) algorithm for identifying symptoms associated with asthma from clinical notes within a large integrated health care system. …”
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An integrative TLBO-driven hybrid grey wolf optimizer for the efficient resolution of multi-dimensional, nonlinear engineering problems by Harleenpal Singh, Sobhit Saxena, Himanshu Sharma, Vikram Kumar Kamboj, Krishan Arora, Gyanendra Prasad Joshi, Woong Cho

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APPLICATION OF PROMETHEE II METHOD IN DECISION-MAKING FOR GRANT DISTRIBUTION IN ACADEMIC ENVIRONMENT by Raja Ayu Mahessya, Novi Trisna

“…The criteria data for lecturers, including problem formulation, external research, research methods, literature review, and feasibility study, are collected and analyzed using the PROMETHEE II algorithm. The integrated evaluation criteria are analyzed to produce final grades for each grant-receiving lecturer. …”
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Integrated MCDM framework for sustainable pharmacy supplier selection using pioneering criteria with fuzzy TOPSIS SVR and GRA by R. Raveena, S. Umamaheswari

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The Role of AI in Nursing Education and Practice: Umbrella Review by Rabie Adel El Arab, Omayma Abdulaziz Al Moosa, Fuad H Abuadas, Joel Somerville

“…ObjectiveThis umbrella review aims to evaluate the integration of AI into nursing practice and education, with a focus on ethical and social implications, and to propose evidence-based recommendations to support the responsible and effective adoption of AI technologies in nursing. …”
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Prediction of hydrogen production in proton exchange membrane water electrolysis via neural networks by Muhammad Tawalbeh, Ibrahim Shomope, Amani Al-Othman, Hussam Alshraideh

“…The prediction and optimization of hydrogen production rates (HPRs) in PEMWE systems is difficult and still challenging because of the complexity of the system as well as the operational parameters. The integration of artificial intelligence (AI) and machine learning (ML) appears to be effective in optimization within the energy sector. …”
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Trading Efficiency for Control: the AI Conundrum in Migration Management by Gianluca Iazzolino

“…Specifically, this paper leverages the data justice and algorithmic accountability debates to examine two application of AI systems. …”
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AI-driven disinformation: policy recommendations for democratic resilience by Alexander Romanishyn, Olena Malytska, Vitaliy Goncharuk

“…The increasing integration of artificial intelligence (AI) into digital communication platforms has significantly transformed the landscape of information dissemination. …”
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Advancing cardiovascular care through actionable AI innovation by Giuseppe Biondi-Zoccai, Arjun Mahajan, Dylan Powell, Mariangela Peruzzi, Roberto Carnevale, Giacomo Frati

“…However, challenges remain in integrating AI into practice, ensuring interpretability, maintaining performance, and proving cost-effectiveness. …”
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Exploring subthreshold processing for next-generation TinyAI by Farid Nakhle, Antoine H. Harfouche, Antoine H. Harfouche, Hani Karam, Vasileios Tserolas

“…We propose pathways such as algorithmic analogs of subthreshold integration, including graded activation functions, dendritic-inspired hierarchical processing, and hybrid analog-digital systems to emulate the energy-efficient operations of biological neurons. …”
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The Convergence of AI and animal-inspired robots for ecological conservation by Naqash Afzal, Mobeen ur Rehman, Lakmal Seneviratne, Irfan Hussain

“…AI algorithms deployed on interactive animal robots can continuously analyze real-time data from the field, allowing for dynamic adjustments in conservation approaches based on emerging patterns and threats. …”
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AI-Driven Accounting and Sensing Applications for Investment Management by Foziljonov Ibrohimjon, Yuldashev Jahongir, Turgunov Jasurbek, Khujamurodov Askarjon, Rozhkova Elena

“…Rather, their professional judgment and domain expertise are integrated into the adaptive learning processes of AI systems. …”
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State-of-the-Art in Responsible, Explainable, and Fair AI for Medical Image Analysis by Soheyla Amirian, Fengyi Gao, Nickolas Littlefield, Jonathan H. Hill, Adolph J. Yates, Johannes F. Plate, Liron Pantanowitz, Hooman H. Rashidi, Ahmad P. Tafti

“…Integrating responsible, explainable, and fair artificial intelligence (REF-AI) into medical image analysis has gained significant attention in recent years. …”
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From Genomics to AI: Revolutionizing Precision Medicine in Oncology by Giulia Calvino, Juliette Farro, Stefania Zampatti, Cristina Peconi, Domenica Megalizzi, Giulia Trastulli, Sarah Andreucci, Raffaella Cascella, Claudia Strafella, Carlo Caltagirone, Federico Grifalchi, Emiliano Giardina

“…However, challenges remain regarding data standardization, interpretability, bias in AI algorithms, and ethical considerations. Conclusions: The integration of genomics and AI holds immense potential to advance precision oncology, offering more effective, equitable, and sustainable cancer care. …”
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AI-Driven Advancements in Orthodontics for Precision and Patient Outcomes by David B. Olawade, Navami Leena, Eghosasere Egbon, Jeniya Rai, Aysha P. E. K. Mohammed, Bankole I. Oladapo, Stergios Boussios

“…While AI offers tremendous potential, challenges remain in areas such as data privacy, algorithmic bias, and the cost of adopting AI technologies. …”
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