A new approach to MADM problem using interval-valued hesitant Fermatean fuzzy Hamacher operators and statistical variance by Xiuqin Ma, Xuli Niu, Hongwu Qin, Dong Ren, Siyue Lei, Kexin Tang

“…However, a lot of uncertainty is involved in assessing the WECC level, which presents serious and intricate difficulties for the related multiple- attribute decision-making (MADM) processes. …”
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Long-term temporal analysis of Sentinel-2 spectral reflectance data for post-earthquake monitoring of urban environment dynamics by Elisabetta Lamboglia, Giorgia Guerrisi, Stefania Bonafoni, Fabio Del Frate

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Privacy Ethics Alignment in AI: A Stakeholder-Centric Framework for Ethical AI by Ankur Barthwal, Molly Campbell, Ajay Kumar Shrestha

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Appropriateness of NHS 111 Wales outcomes—using the Call Prioritisation Streaming System: a RAND/UCLA modified Delphi method by Craig Brown, Conrad Fivaz, Rebecca Malin, Mike Brady, Rhiannon Elizabeth Roynon, Peter Noblett

“…Call handlers use the newly created and implemented Call Prioritisation Streaming System (CPSS) to assess patients. CPSS is a sophisticated Computer Decision Support Software designed to enhance decision-making processes. …”
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Explainable Graph Neural Networks for Power Grid Fault Detection by Richard Bosso, Corey Chang, Mahdi Zarif, Yufei Tang

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Comparative analysis of machine learning models for detecting water quality anomalies in treatment plants by P. Prabu, Ala Saleh Alluhaidan, Romana Aziz, Shakila Basheer

“…The revised QI is continuously updated using real-time sensor data, aiding decision-making in treatment operations. Experimental results show that the proposed model achieves superior performance, with an accuracy of 89.18%, precision of 85.54%, recall of 94.02%, Critical Success Index of 93.42%, Matthews Correlation Coefficient of 88.40%, delta-P of 94.37%, and Fowlkes–Mallow’s Index of 89.47%. …”
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Enhancing Accuracy in Hourly Passenger Flow Forecasting for Urban Transit Using TBATS Boosting by Madhuri Patel, Samir B. Patel, Debabrata Swain, Rishikesh Mallagundla

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Evaluating the Internal Quality of the Master's Curriculum in Auditing in Iran: Perspectives of Faculty and Students by Zahra Dianati Deilami, Mohammad Mehdi Noori, Hossein Abbasian

“…The goal is to inform the curriculum developers about the program's success rate in achieving the desired educational objectives (in what ways it has been effective and in what ways it needs to be changed or supplemented) and to facilitate decision-making for its improvement to achieve the desired efficiency and outcomes.MethodsThis research is quantitative and classified as a descriptive study. …”
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Unveiling optimal SDG pathways: an innovative automated recommendation approach integrating graph pruning, intent graph, and attention mechanism by Qiang Wang, Zhihang Yu, Shu Wang, Yunqiang Zhu, Xiaoliang Dai, Zhiqiang Zou, Weiming Huang, Christophe Claramunt

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Smart Dairy Farming: A Mobile Application for Milk Yield Classification Tasks by Allan Hall-Solorio, Graciela Ramirez-Alonso, Alfonso Juventino Chay-Canul, Héctor A. Lee-Rangel, Einar Vargas-Bello-Pérez, David R. Lopez-Flores

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Coordinated Jamming and Poisoning Attack Detection and Mitigation in Wireless Federated Learning Networks by Sofia Barkatsa, Maria Diamanti, Panagiotis Charatsaris, Stefanos Voikos, Eirini Eleni Tsiropoulou, Symeon Papavassiliou

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Multivariate regression analysis for rapid fatigue prediction in airport rigid pavements by Luca Bianchini Ciampoli, Ruggero Pinto, Andrea Benedetto

“…Due to the high computational times and numerical resources required, FEA analyses are typically averaged on representative sample units, which inhibits the reliability of the assessment procedure. …”
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Dynamic Workload Management System in the Public Sector: A Comparative Analysis by Konstantinos C. Giotopoulos, Dimitrios Michalopoulos, Gerasimos Vonitsanos, Dimitris Papadopoulos, Ioanna Giannoukou, Spyros Sioutas

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A synergistic approach using digital twins and statistical machine learning for intelligent residential energy modelling by Ahmad Almadhor, Shtwai Alsubai, Natalia Kryvinska, Nejib Ghazouani, Belgacem Bouallegue, Abdullah Al Hejaili, Gabriel Avelino Sampedro

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MCDM Optimization-Based Development of a Plus-Energy Microgrid Architecture for University Buildings and Smart Parking by Mahmoud Ouria, Alexandre F. M. Correia, Pedro Moura, Paulo Coimbra, Aníbal T. de Almeida

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A Multimodal Pain Sentiment Analysis System Using Ensembled Deep Learning Approaches for IoT-Enabled Healthcare Framework by Anay Ghosh, Saiyed Umer, Bibhas Chandra Dhara, G. G. Md. Nawaz Ali

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Interacting Large Language Model Agents. Bayesian Social Learning Based Interpretable Models by Adit Jain, Vikram Krishnamurthy

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On Introduction to q1,q2-Linear Diophantine Fuzzy Sets and Their Applications by Muhammad Bilal Khan, Adrian Marius Deaconu, Javad Tayyebi, Bandar Bin-Mohsin, Loredana Ciurdariu, Miguel Vivas Cortez, Nurnadiah Zamri

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Risk prediction models for permanence of temporary stoma after radical surgery of rectal cancer: a systematic review by Wenjing Tan, Shiyin Cai, Juanqin Wu, Wenke Wu, Shan Wang, Yaqiu Li, Lulu Liu, Liping Tang, Ying Cao

“…In order to improve the accuracy of clinical predictions and inform clinical decision-making, future research should improve study design and reporting standards, as well as build and verify a prediction model that is highly applicable to real-world clinical demands and has a low risk of bias. …”
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Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions by Shumaila Javaid, Ruhul Amin Khalil, Nasir Saeed, Bin He, Mohamed-Slim Alouini

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