Dynamic Fusion of LSTM Predictions Using Reinforcement Learning-Based GOWLA for Human Activity Recognition by Hayder K. Fatlawi, Attila Kiss

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Statistical analysis and machine learning of TMS-induced MEPs for predicting poststroke motor impairment and performance by Chun-Ren Phang, Shintaro Uehara, Sachiko Kodera, Akiko Yuasa, Shin Kitamura, Yohei Otaka, Akimasa Hirata

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A study on predicting impaired fasting glucose risk in Chinese adults based on individual characteristics by Yijun Lin, Wenxu Wu, Wenxu Wu, Xiaoyan Liang, Liping Zhou, Gan Li, Cuiling Kang, Wuzhen Li, Chunyi Huang, Feng Tian

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Using machine learning and natural language processing in triage for prediction of clinical disposition in the emergency department by Yu-Hsin Chang, Ying-Chen Lin, Fen-Wei Huang, Dar-Min Chen, Yu-Ting Chung, Wei-Kung Chen, Charles C.N. Wang

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A novel lactylation-related gene signature to predict prognosis and treatment response in lung adenocarcinoma by Hongyi Zhang, Hongyi Zhang, Yihao Liu, Xuanguang Li, Chen Ding, Chunqiu Xia, Hua Huang, Hongyu Liu, Jun Chen, Jun Chen

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A Nomogram for Predicting Hospital Mortality in Patients with COVID-19 Admitted to the Intensive Care Unit by A. N. Kuzovlev, L. V. Ermokhina, N. S. Melnikova, L. B. Berikashvili, M. Ya. Yadgarov, K. K. Kadantseva, N. I. Chaus, S. N. Perekhodov, T. S. Serkova, V. V. Likhvantsev

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Prediction and optimization of gas turbine secondary air system cooling efficiency based on deep learning by Yulong Yao, Bo Hu, Chuan Wang, Jiawei Fan

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Development and validation of an artificial intelligence-based pipeline for predicting oral epithelial dysplasia malignant transformation by Adam J. Shephard, Hanya Mahmood, Shan E. Ahmed Raza, Anna Luíza Damaceno Araújo, Alan Roger Santos-Silva, Marcio Ajudarte Lopes, Pablo Agustin Vargas, Kris D. McCombe, Stephanie G. Craig, Jacqueline James, Jill Brooks, Paul Nankivell, Hisham Mehanna, Syed Ali Khurram, Nasir M. Rajpoot

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Genetically predicted brain cortical structure mediates the causality between insulin resistance and cognitive impairment by Chaojuan Huang, Yuyang Zhang, Mingxu Li, Qiuju Gong, Siqi Yu, Zhiwei Li, Mengmeng Ren, Xia Zhou, Xiaoqun Zhu, Zhongwu Sun

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Longitudinal structural MRI-based deep learning and radiomics features for predicting Alzheimer’s disease progression by Sepehr Aghajanian, Fateme Mohammadifard, Ida Mohammadi, Shahryar Rajai Firouzabadi, Ali Baradaran Bagheri, Elham Moases Ghaffary, Omid Mirmosayyeb

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Comparison of Machine Learning Methods (Linear Regression, Random Forest, and XGBoost) for Predicting Poverty in Central Java in 2024 by Zahwa Bunga Putri Pratama, Yani Parti Astuti

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Maximizing spatial–temporal coverage in mobile crowd-sensing based on public transports with predictable trajectory by Chaowei Wang, Chensheng Li, Cai Qin, Weidong Wang, Xiuhua Li

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Predicting Student Loyalty in Higher Education Using Machine Learning: A Random Forest Approach by Qoriani Widayati, Kusworo Adi, R Rizal Isnanto, Eka Puji Agustini, Dewa Rizki Rahmat Julianto, Fawwaz Bimo Prakasa

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Automated Loudness Growth Prediction From EEG Signals Using Autoencoder and Multi-Target Regression by D. Rama Harshita, Nitya Tiwari, Himanshu Padole, K. S. Nataraj

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Intelligent prediction method of virtual network function resource capacity for polymorphic network service slicing by Julong LAN, Di ZHU, Dan LI

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Weaning performance prediction in lactating sows using machine learning, for precision nutrition and intelligent feeding by Jiayi Su, Xiangfeng Kong, Wenliang Wang, Qian Xie, Chengming Wang, Bie Tan, Jing Wang

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Plasma-based transcriptomic non-coding signature for predicting relapse in pediatric acute lymphoblastic leukemia by Yaping Wang, Xiaopeng Ma, Huimin Li, Ji'ou Zhao, Meiyun Kang, Liucheng Rong, Yao Xue, Jiali Wang, Junwei Tang, Yongjun Fang

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Scaling approaches for the prediction of human clearance of LNA-i-mir-221: A retrospective validation by Massimiliano Fonsi, Jacques Fulbert, Pierre-Andre Billat, Mariamena Arbitrio, Pierosandro Tagliaferri, Pierfrancesco Tassone, Maria Teresa Di Martino

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Machine-learning prediction for hospital length of stay using a French medico-administrative database by Franck Jaotombo, Vanessa Pauly, Guillaume Fond, Veronica Orleans, Pascal Auquier, Badih Ghattas, Laurent Boyer

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Multiparametric MRI-based radiomics for preoperative prediction of parametrial invasion in early-stage cervical cancer by Chongshuang Yang, Man Li, Xin Yi, Lin Wang, Guangxian Kuang, Chunfang Zhang, Benyong Yao, Zhihong Qin, Tianliang Shi, Qiang Jiang

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