Georeferencing Building Information Models for BIM/GIS Integration: A Review of Methods and Tools by Peyman Azari, Songnian Li, Ahmed Shaker, Shahram Sattar

“…Although significant advancements have been achieved in this field, challenges persist in the georeferencing of BIM models, which is one of the fundamental challenges in integrating BIM and GIS models. …”
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Knowledge-Enriched Recommendations: Bridging the Gap in Alloy Material Selection With Large Language Models by Tongwei Wu, Shiyu Du, Yiming Zhang, Honggang Li

“…While recommendation systems address information overload, traditional approaches relying on historical user data face limitations such as data sparsity and cold-start issues. This study presents a novel recommendation model that integrates domain-specific knowledge graphs with large language models (LLMs) to enhance recommendation accuracy in alloy material selection. …”
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Edge AI Deploying Artificial Intelligence Models on Edge Devices for Real-Time Analytics by Choudhary Sagar, S Vijitha, Bhavani Dokku Durga, N Bhuvaneswari, Tiwari Mohit, S Subburam

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Review of optimization problems, models and methods for airline disruption management from 2010 to 2024 by Yuzhen Hu, Sirui Wang, Song Zhang, Zhisheng Li

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Leveraging Large Language Models for Predicting Postoperative Acute Kidney Injury in Elderly Patients by Hanfei Zhu, Ruojiang Wang, Jiajie Qian, Yuhao Wu, Zhuqing Jin, Xishen Shan, Fuhai Ji, Zixuan Yuan, Tingrui Pan

“…Impact Statement: Our study demonstrates that LLMs have the potential to address the issues of poor generalization and weak interpretability commonly encountered in disease prediction using traditional machine learning (ML) models. …”
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Evaluating the stability and efficacy of fractal-fractional models in reproductive cancer apoptosis with ABT-737 by Kottakkaran Sooppy Nisar, M. Sivashankar, S. Sabarinathan, C. Ravichandran, V. Sivaramakrishnan

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Optimization of trusted wireless sensing models based on deep reinforcement learning for ISAC systems by Hao Zhang, Yi Jing, Wenhui Xu, Ronghui Zhang

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Comparative Study of OLGA and LedaFlow Models for Mechanistic Predictions of Hydrate Transport Dynamics by Anqi Qu, Luiz F. R. Dalla, Luis E. Zerpa, Thierry Palermo, Khalid Mateen, Annie Fidel-Dufour, Carolyn A. Koh

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Optimized machine learning based comparative analysis of predictive models for classification of kidney tumors by Vatsala Anand, Ajay Khajuria, Rupendra Kumar Pachauri, Vinay Gupta

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Comparison of Machine Learning Models for Classification of Breast Cancer Risk Based on Clinical Data by Haniyeh Rafiepoor, Alireza Ghorbankhanloo, Kazem Zendehdel, Zahra Zangeneh Madar, Sepideh Hajivalizadeh, Zeinab Hasani, Ali Sarmadi, Behzad Amanpour‐Gharaei, Mohammad Amin Barati, Mozafar Saadat, Seyed‐Ali Sadegh‐Zadeh, Saeid Amanpour

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Enhancing DataOps practices through innovative collaborative models: A systematic review by Aymen Fannouch, Jihane Gharib, Youssef Gahi

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Hidden challenges in evaluating spillover risk of zoonotic viruses using machine learning models by Junna Kawasaki, Tadaki Suzuki, Michiaki Hamada

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The role of large language models in personalized learning: a systematic review of educational impact by Sahil Sharma, Puneet Mittal, Mukesh Kumar, Vivek Bhardwaj

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Improving Mental Health Diagnosis with Hybrid Ensemble Models: A Data-Driven Approach by Malave Sachin, Khemani Bharti, Kelkar Rucha, Balekundri Urvi, Bogar Shravani, Kolekar Areen

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Personalization of closed-chain shoulder models yields high kinematic accuracy for multiple motions by Claire V. Hammond, Heath B. Henninger, Benjamin J. Fregly, Jonathan A. Gustafson

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Physiological signal-based mental stress detection using hybrid deep learning models by Nandini Modi, Yogesh Kumar, Kapil Mehta, Neelam Chaplot

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Crop Classification and Yield Prediction Using Robust Machine Learning Models for Agricultural Sustainability by Abid Badshah, Basem Yousef Alkazemi, Fakhrud Din, Kamal Z. Zamli, Muhammad Haris

“…Through the use of K-fold cross-validation, Explainable AI (XAI) and feature engineering, we identify the best-performing model, with Random Forest coming out on top scoring an accuracy of 99.7% with precision, recall, F1 score, and confusion matrix. …”
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Large Language Models for Transforming Healthcare: A Perspective on DeepSeek‐R1 by Jinsong Zhou, Yuhan Cheng, Sixu He, Yingcong Chen, Hao Chen

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Recent Trends in the Quality Module of Sustainable Water Management Models-A Systematic Review by C. Subashini, Suseela Sellamuthu

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Carbon Emission Scenario Modelling in Shanghai (Yangtze River Delta) by Shuzhou Jiang, Jingcao She, Dongsheng Li, Shuyang Wang, Juan Jiang, Bibo Li

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