Machine Learning Approach for Predicting Hypertension Based on Body Composition in South Korean Adults by Jeong-Woo Seo, Sanghun Lee, Mi Hong Yim

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Temperature Prediction of Lithium-Ion Batteries Based on Physical Information and Deep Neural Network by Laien CHEN, Xiaoyong ZENG, Zihao ZENG, Caichen CHENG, Yaoke SUN

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Combination of Historical Stock Data and External Factors In Improving Stock Price Prediction Performance by Anita Sjahrunnisa, Nanik Suciati, Shintami Chusnul Hidayati

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Comparative Analysis of Explainable AI Methods for Manufacturing Defect Prediction: A Mathematical Perspective by Gabriel Marín Díaz

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Leveraging AHP and transfer learning in machine learning for improved prediction of infectious disease outbreaks by Reham Abdallah, Sayed Abdelgaber, Hanan Ali Sayed

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Prediction of Urban House Rental Prices in Lagos - Nigeria: A Machine Learning Approach by Sunday Oluyele, Juwon Akingbade, Victor Akinode, Royal Idoghor

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Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm by Meghana Kshirsagar, Artur Meller, Ian R. Humphreys, Samuel Sledzieski, Yixi Xu, Rahul Dodhia, Eric Horvitz, Bonnie Berger, Gregory R. Bowman, Juan Lavista Ferres, David Baker, Minkyung Baek

“…Code, datasets, model are available at: https://github.com/microsoft/seq2symm .…”
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Non-Invasive Ventilation Failure in Pediatric ICU: A Machine Learning Driven Prediction by Maria Vittoria Chiaruttini, Giulia Lorenzoni, Marco Daverio, Luca Marchetto, Francesca Izzo, Giovanna Chidini, Enzo Picconi, Claudio Nettuno, Elisa Zanonato, Raffaella Sagredini, Emanuele Rossetti, Maria Cristina Mondardini, Corrado Cecchetti, Pasquale Vitale, Nicola Alaimo, Denise Colosimo, Francesco Sacco, Giulia Genoni, Daniela Perrotta, Camilla Micalizzi, Silvia Moggia, Giosuè Chisari, Immacolata Rulli, Andrea Wolfler, Angela Amigoni, Dario Gregori

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Computed Tomography-Based Radiomic Nomogram to Predict Occult Pleural Metastasis in Lung Cancer by Xiaoyi Zhao, Heng Zhao, Kongxu Dai, Xiangyu Zeng, Yun Li, Feng Yang, Guanchao Jiang

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Dynamic prediction of whole CO2 flooding development process in low permeability reservoirs by WANG Yanwei, LIN Lifei, WANG Hengli

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Prediction of contact resistance of electrical contact wear using different machine learning algorithms by Zhen-bing Cai, Chun-lin Li, Lei You, Xu-dong Chen, Li-ping He, Zhong-qing Cao, Zhi-nan Zhang

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Multivariable analysis for predicting lower limb muscular strength with a hip-joint exoskeleton by Byungmun Kang, Changmin Lee, Dongwoo Kim, Hwang-Jae Lee, Dokwan Lee, Hyung Gyu Jeon, Yoonmyung Kim, DaeEun Kim

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MDNN-DTA: a multimodal deep neural network for drug-target affinity prediction by Xu Gao, Xu Gao, Mengfan Yan, Mengfan Yan, Chengwei Zhang, Chengwei Zhang, Gang Wu, Gang Wu, Jiandong Shang, Jiandong Shang, Congxiang Zhang, Congxiang Zhang, Kecheng Yang, Kecheng Yang

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Incidence of surgical site infections and prediction of risk factors in a hospital center in Morocco by Rachid Flouchi, Mohamed El Far, Abdelaziz Hibatallah, Abderrahim Elmniai, Ibtissam Rhbibou, Ibrahim Touzani, Naoufal El Hachlafi, Kawtar Fikri-Benbrahim

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Predicting ICU mortality in heart failure patients based on blood tests and vital signs by Yeao Wang, Jianke Rong, Zhili Wei, Xiaoyu Bai, YunDan Deng

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Prediction of Sea Surface Current Around the Korean Peninsula Using Artificial Neural Networks by Jeong‐Yeob Chae, Hyunkeun Jin, Inseong Chang, Young Ho Kim, Young‐Gyu Park, Young Taeg Kim, Boonsoon Kang, Min‐su Kim, Ho‐Jeong Ju, Jae‐Hun Park

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Predicting trajectories of the north star ambulatory assessment total score in Duchenne muscular dystrophy. by Francesco Muntoni, James Signorovitch, Nathalie Goemans, Adnan Y Manzur, Nicolae Done, Gautam Sajeev, Jiayang Li, Hanane Akbarnejad, Aarushi Sharma, Susan J Ward, Erik H Niks, Laurant Servais, Eugenio Mercuri, Michela Guglieri, Volker Straub, Imelda de Groot, Deborah Ridout, PRO-DMD-01 study investigators, Association Française contre les Myopathies, NorthStar Clinical Network, Craig McDonald

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Enhancing shear strength predictions of UHPC beams through hybrid machine learning approaches by Sanjog Chhetri Sapkota, Ajad Shrestha, Moinul Haq, Satish Paudel, Waiching Tang, Hesam Kamyab, Daniele Rocchio

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Chlorophyll-a Prediction Based on Machine Learning and Satellite Data in the South Sea of Korea by Heejun Kim, Bong-Guk Kim, Kuk Jin Kim, Tae-Ho Kim, Hye-Kyeong Shin, Jin Hyun Han

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Beyond Performance: Explaining and Ensuring Fairness in Student Academic Performance Prediction with Machine Learning by Kadir Kesgin, Salih Kiraz, Selahattin Kosunalp, Bozhana Stoycheva

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