Enhanced Semantic Retrieval with Structured Prompt and Dimensionality Reduction for Big Data by Donghyeon Kim, Minki Park, Jungsun Lee, Inho Lee, Jeonghyeon Jin, Yunsick Sung

“…After generating prompts utilizing two methods, silhouette scores were computed to assess the quality of embedding clusters. …”
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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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Evaluating the quality of medical content on YouTube using large language models by Mahmoud Khalil, Fatma Mohamed, Abdulhadi Shoufan

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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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Structured reporting of neuroendocrine tumors in PET/CT using [18F]SiTATE - impact on interdisciplinary communication by Anna Hinterberger, Lukas Trupka, Sophia Kortbein, Ricarda Ebner, Nicola Fink, Matthias F. Froelich, Dominik Nörenberg, Carmen Wängler, Björn Wängler, Ralf Schirrmacher, Adrien Holzgreve, Matthias Brendel, Stefanie Corradini, Christoph Auernhammer, Johannes Rübenthaler, Freba Grawe

“…All reports were evaluated by a radiologist and a surgeon through a questionnaire to determine their contribution to facilitating clinical decision-making and to assess their completeness, linguistic quality, and overall quality. …”
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Survey of Navigational Perception Sensors’ Security in Autonomous Vehicles by Abhijeet Solanki, Wesam Al Amiri, Marim Mahmoud, Blaine Swieder, Syed Rafay Hasan, Terry N. Guo

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Human Trajectory Imputation Model: A Hybrid Deep Learning Approach for Pedestrian Trajectory Imputation by Deb Kanti Barua, Mithun Halder, Shayanta Shopnil, Md. Motaharul Islam

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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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Explainable Boosting Machines Identify Key Metabolomic Biomarkers in Rheumatoid Arthritis by Fatma Hilal Yagin, Cemil Colak, Abdulmohsen Algarni, Ali Algarni, Fahaid Al-Hashem, Luca Paolo Ardigò

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Employing convolutional neural networks and explainable artificial intelligence for the detection of seizures from electroencephalogram signal by Tamilarasi Kathirvel Murugan, Anush Kameswaran

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Simulation Analysis of Onshore and Offshore Wind Farms’ Generation Potential for Polish Climatic Conditions by Martyna Kubiak, Artur Bugała, Dorota Bugała, Wojciech Czekała

“…The study provides new insight into wind farm layout optimization under Polish conditions and supports spatial planning and investment decision making in line with national energy policy goals.…”
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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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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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Dynamic appliance scheduling and energy management in smart homes using adaptive reinforcement learning techniques by Poonam Saroha, Gopal Singh, Umesh Kumar Lilhore, Sarita Simaiya, Monish Khan, Roobaea Alroobaea, Majed Alsafyani, Hamed Alsufyani

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Characterizing the Design of and Emerging Evidence for Health Care Organization–Based Lung Cancer Screening Interventions: A Systematic Review by Jennifer Elston Lafata, Katharine A. Rendle, Jocelyn V. Wainwright, Mary E. Cooley, Anil Vachani, Christine Neslund-Dudas, Michelle R. Odelberg, Liana Alcaro, Claire Staresinic, Gwen L. Alexander, Rebecca B. Carlson, Marilyn M. Schapira

“…Most studies ( n  = 33) evaluated educational interventions, typically in one-on-one settings. Studies assessed at either low or moderate/some risk of bias reported statistically significant findings in the domains of improved knowledge ( n  = 7) and other aspects of decision making ( n  = 8), such as perceived risk or decisional conflict. …”
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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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