Predicting Prognosis of Early-Stage Mycosis Fungoides with Utilization of Machine Learning by Banu İsmail Mendi, Hatice Şanlı, Mert Akın Insel, Beliz Bayındır Aydemir, Mehmet Fatih Atak

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Drilling Rate of Penetration Prediction Based on CBT-LSTM Neural Network by Kai Bai, Siyi Jin, Zhaoshuo Zhang, Shengsheng Dai

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Predicting cardiovascular disease in patients with mental illness using machine learning by Martin Bernstorff, Lasse Hansen, Kevin Kris Warnakula Olesen, Andreas Aalkjær Danielsen, Søren Dinesen Østergaard

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Intensified Drought Threatens Future Food Security in Major Food-Producing Countries by Zihao Liu, Aifeng Lv, Taohui Li

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Vehicle trajectory prediction in weaving area of expressway based on transfer learning by YIN Zijian, XU Liangjie, LIU Wei, MA Yukang, LIN Hai

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Exploration-based learning of a stabilizing controller predicts locomotor adaptation by Nidhi Seethapathi, Barrett C. Clark, Manoj Srinivasan

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Improving Cardiovascular Disease Prediction With Deep Learning and Correlation-Aware SMOTE by Maria Trigka, Elias Dritsas

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Risk Prediction Score for Thermal Mapping of Pharmaceutical Transport Routes in Brazil by Clayton Gerber Mangini, Nilsa Duarte da Silva Lima, Irenilza de Alencar Nääs

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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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The Role of Artificial Intelligence in Circular Economy Strategies: Predictive Analysis for SMEs by Klimecka-Tatar Dorota, Kapustka Katarzyna

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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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