Software Defect Prediction Using Deep Q-Learning Network-Based Feature Extraction by Qinhe Zhang, Jiachen Zhang, Tie Feng, Jialang Xue, Xinxin Zhu, Ningyang Zhu, Zhiheng Li

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Mesoscopic analysis and prediction of in-situ effect in FFF 3D printing CFRP/GFRP by Xiang Yu, Pai Peng, Tian-Yun Yao, Yu Zhao, Yong-Jun Zhou, Yuan Jing

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Contribution of body adiposity index and conicity index in prediction of metabolic syndrome risk and components by Sorayya Kheirouri, Mohammad Alizadeh

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The Predictive Value of Computed Tomography Findings for Poor Visual Outcome in Traumatic Eye Injury by Ping Ren, Yan Jiao, Chunling Zhang, Guoyue Chen

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Clinical predictive score of predischarge screening for severe hyperbilirubinemia in late preterm and term infants by Pichaya Thanomsingh

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A deep learning based multiple RNA methylation sites prediction across species by Sajid Shah, Saima Jabeen, Mohammed ElAffendi, Ishrat Khan, Muhammad Almas Anjum, Mohamed A. Bahloul

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Predicting classification errors using NLP-based machine learning algorithms and expert opinions by Peiheng Gao, Chen Yang, Ning Sun, Ričardas Zitikis

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Adapting to evolving MRI data: A transfer learning approach for Alzheimer’s disease prediction by Rosanna Turrisi, Sarthak Pati, Giovanni Pioggia, Gennaro Tartarisco

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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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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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