Climate change impacts on the predicted geographic distribution of Betula tianschanica Rupr by Hang Zhou, Hang Zhou, Ao Li, Ao Li, Xuequn Luo, Xuequn Luo, Jiafeng Wang, Jiafeng Wang, Yihong Xie, Zhongping Lin, Donglai Hua

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Research on Efficient Prediction and Suppression of Electromagnetic Interference in Electric Drive Systems by Ruoxi Tan, Shangbin Ye, Qianlei Peng, Changhong Du, Zeyan Zhou

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Customer Churn Prediction Approach Based on LLM Embeddings and Logistic Regression by Meryem Chajia, El Habib Nfaoui

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An adaptive dual distillation framework for efficient remaining useful life prediction by Xiang Cheng, Jun Kit Chaw, Shafrida Sahrani, Mei Choo Ang, Saraswathy Shamini Gunasekaran, Moamin A. Mahmoud, Halimah Badioze Zaman, Yanfeng Zhao, Fuchen Ren

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Prediction of Human Papillomavirus-Host Oncoprotein Interactions Using Deep Learning by Sheila Santa, Samuel Kojo Kwofie, Kwasi Agyenkwa-Mawuli, Osbourne Quaye, Charles A Brown, Emmanuel A Tagoe

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Retinal thickness predicts the risk of cognitive decline over five years by Leila Sara Eppenberger, Chi Li, Damon Wong, Bingyao Tan, Gerhard Garhöfer, Saima Hilal, Eddie Chong, An Qi Toh, Narayanaswamy Venketasubramanian, Christopher Li-Hsian Chen, Leopold Schmetterer, Jacqueline Chua

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Prediction of adolescent subjective well-being: A machine learning approach by Lin He, Fei Xu, Yifeng Xu, Naixin Zhang, Chuanxin Liu, Zhixuan Chen, Lin An, Decheng Ren, Fan Yuan, Ruixue Yuan, Lei Ji, Yan Bi, Zhenming Guo, Gaini Ma, Fengping Yang, Liping Zhu, Gabirel Robert, Bo Bai, Tao Yu, Guang He

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Implementation of the healthy heart tool- an algorithm with potential cardiometabolic health benefits in persons with severe mental illness by Elisabeth Haug Lund-Stenvold, Petter A. Ringen, Ole A. Andreassen, Torfinn L. Gaarden, Cecilie B. Hartberg, Erik Johnsen, Silje Myklatun, Kåre Osnes, Kjetil Sørensen, Arne Vaaler, Serena Tonstad, John A. Engh, Anne Høye

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An engineering method of aerodynamic heating prediction for hypersonic blunt body vehicles by Jimin Chen, Guoyi He

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A general approach for predicting the behavior of the Supreme Court of the United States. by Daniel Martin Katz, Michael J Bommarito, Josh Blackman

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On the estimation of inverse-probability-of-censoring weights for the evaluation of survival prediction error. by Thomas Prince, Andrea Bommert, Jörg Rahnenführer, Matthias Schmid

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Sensibilización hacia la discapacidad a través de un programa integrado de Educación Deportiva y Aprendizaje-Servicio (Disability awareness through an integrated program of sport... by Jorge Abellán, Yessica Segovia, David Gutiérrez, Luis Miguel García López

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Application of machine learning in depression risk prediction for connective tissue diseases by Leilei Yang, Yuzhan Jin, Wei Lu, Xiaoqin Wang, Yuqing Yan, Yulan Tong, Dinglei Su, Kaizong Huang, Jianjun Zou

“…Additionally, the study provided an interpretation of the best-performing model using SHAP and developed a user-friendly R Shiny application ( https://macnomogram.shinyapps.io/Catboost/ ) to facilitate clinical use. …”
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Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products by Van Thuy Hoang, Tien-Bach-Thanh do, Jinho Seo, Seung Charlie Kim, Luong Vuong Nguyen, Duong Nguyen Minh Huy, Hyeon-Ju Jeon, O-Joun Lee

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DKA Prediction in Children Using Artificial Intelligence: Improved Emergency Care by Arifa Parveen, Mohsina Riffat, Sarang Shaikh

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Development and validation of a nomogram for predicting survival in patients with cardiogenic shock by Dingfeng Fang, Dingfeng Fang, Huihe Chen, Hui Geng, Xiahuan Chen, Meilin Liu

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Topology Prediction of Branched Deformable Linear Objects Using Deep Learning by Shengzhe Ouyang, Manuel Zurn, Lukas Zeh, Armin Lechler, Alexander Verl

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Protein thermodynamics can be predicted directly from biological growth rates. by Ross Corkrey, Tom A McMeekin, John P Bowman, David A Ratkowsky, June Olley, Tom Ross

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Interpretable Machine Learning with SHAP and XGBoost for Lung Cancer Prediction Insights by Taufik Kurniawan, Laily Hermawanti, Achmad Nuruddin Safriandono

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Demand prediction for shared bicycles around metro stations incorporating STAGCN. by Xue Xing, Le Wan, Fahui Luo

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