Integrating Model Predictive Control With Stormwater System Design: A Cost‐Effective Method of Urban Flood Risk Mitigation During Heavy Rainfall by Lanxin Sun, Jun Xia, Dunxian She

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Intelligent Modelling Techniques for Enhanced Thermal Comfort and Energy Optimisation in Residential Buildings by Shamaila Iram, Hafiz Muhammad Athar Farid, Abduljelil Adeola Akande, Hafiz Muhammad Shakeel

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Large Language Models are Zero-Shot Next Location Predictors by Ciro Beneduce, Bruno Lepri, Massimiliano Luca

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A score prediction model for predicting the heterogeneity symptom trajectories among lung cancer patients during perioperative period: a longitudinal observational study by Yong Yang, Xueqi Tian, Huiling Zhou, Yichao Wang, Yifeng Gu, Ao Qi, Decai Wang, Zhiying Wang, Yabin Gong, Lijing Jiao, Ling Xu

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Enhanced Neutrosophic Set and Machine Learning Approach for Kidney Disease Prediction by Humam M Al-Doori, Tareef S Alkellezli, Ahmed Abdelhafeez, Mohamed Eassaa, Mohamed S. Sawah, Ahmed A El-Douh

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Dog and Guardian Relationships: Application of a Dual-Process Actor–“Partner” Interdependence Model to Predict Regular Walking by Sarah B. E. Hough, Chris A. Graham, Alfred S. Y. Lee, Ryan E. Rhodes

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Advancing breast cancer prediction: Comparative analysis of ML models and deep learning-based multi-model ensembles on original and synthetic datasets. by Kazi Arman Ahmed, Israt Humaira, Ashiqur Rahman Khan, Md Shamim Hasan, Mukitul Islam, Anik Roy, Mehrab Karim, Mezbah Uddin, Ashique Mohammad, Md Doulotuzzaman Xames

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P-18 ANTI-HBC POSITIVITY IS AN INDEPENDENT PREDICTIVE FACTOR FOR HCC DEVELOPMENT AND SHOULD BE INCORPORATED TO THE HCC RISK SCORE PREDICTION MODEL IN ADVANCED FIBROSIS by Marcus Vinicius de Acevedo Garcia Gomes, Diogo Delgado Dotta, Manuella Andrade Oliveira Sobral, Isabela Bodaczny Taliberti, Alexandre Belucci Trazzi, Eduardo Pombo Nascimento, Betania da Silva Rocha, Patricia Momoyo Yoshimura Zitelli, Rosa Maria Nascimento Marcusso, Mario Guimaraes Pessoa

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Global glaciological models: a new stage in the development of methods for predicting glacier evolution. Part 1. General approach and model architecture by T. N. Postnikova, O. O. Rybak

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Impact of large language models and vision deep learning models in predicting neoadjuvant rectal score for rectal cancer treated with neoadjuvant chemoradiation by Hyun Bin Kim, Hong Qi Tan, Wen Long Nei, Ying Cong Ryan Shea Tan, Yiyu Cai, Fuqiang Wang

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Machine learning center-specific models show improved IVF live birth predictions over US national registry-based model by Mylene W. M. Yao, Elizabeth T. Nguyen, Matthew G. Retzloff, L. April Gago, John E. Nichols, John F. Payne, Barry A. Ripps, Michael Opsahl, Jeremy Groll, Ronald Beesley, Gregory Neal, Jaye Adams, Lorie Nowak, Trevor Swanson, Xiaocong Chen

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Global glaciological models: a new stage in the development of methods for predicting glacier evolution. Part 1. General approach and model architecture by T. N. Postnikova, O. O. Rybak

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A simple quantitative model for the prediction of exposure of renally excreted drugs in pregnant women: a comparison with whole body PBPK model by Iftekhar Mahmood

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Prediction Models for Late-Onset Preeclampsia: A Study Based on Logistic Regression, Support Vector Machine, and Extreme Gradient Boosting Models by Yangyang Zhang, Xunke Gu, Nan Yang, Yuting Xue, Lijuan Ma, Yongqing Wang, Hua Zhang, Keke Jia

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Trajectory prediction of human-driven vehicles on the basis of risk field theory and interaction multiple models by Zhaojie Wang, Guangquan Lu, Jinghua Wang, Haitian Tan, Renjing Tang

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A New Two‐Stage Probabilistic Remaining Useful Life Prediction Method for Wind Turbines by Weifei Hu, Xuewei Zhou, Qing Jiao, Feng Zhao, Ning Tang, Ke Li, Zili Wang

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Research on Ship Engine Fuel Consumption Prediction Algorithm Based on Adaptive Optimization Generative Network by Defu Zhang, Yuxuan Song, Jianfeng Gao, Zhenyu Shen, Liangkuan Li, Anren Yao

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POISSON REGRESSION MODELLING OF AUTOMOBILE INSURANCE USING R by Sandy Vantika, Mokhammad Ridwan Yudhanegara, Karunia Eka Lestari

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Enhancing prediction accuracy of key biomass partitioning traits in wheat using multi‐kernel genomic prediction models integrating secondary traits and environmental covariates by Sudip Kunwar, Md Ali Babar, Diego Jarquin, Yiannis Ampatzidis, Naeem Khan, Janam Prabhat Acharya, Jordan McBreen, Samuel Adewale, Gina Brown‐Guedira

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Enhancing Genomic Prediction Accuracy with a Single-Step Genomic Best Linear Unbiased Prediction Model Integrating Genome-Wide Association Study Results by Zhixu Pang, Wannian Wang, Pu Huang, Hongzhi Zhang, Siying Zhang, Pengkun Yang, Liying Qiao, Jianhua Liu, Yangyang Pan, Kaijie Yang, Wenzhong Liu

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