Predicting Solar Flares Using a Convolutional Neural Network with Extreme-ultraviolet Images by Yun Yang, Yi Wei Ni, P. F. Chen, Xue Shang Feng

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Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization by Bhanu Jain, Manfred Huber, Ramez Elmasri

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Multimodal radiomics in glioma: predicting recurrence in the peritumoural brain zone using integrated MRI by Qian Li, Chaodong Xiang, Xianchun Zeng, Ang Liao, Kang Chen, Jing Yang, Yong Li, Min Jia, Lingheng Song, Xiaofei Hu

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Machine learning in predicting infertility treatment success: A systematic literature review of techniques by Shirin Dehghan, Hamid Moghaddasi, Reza Rabiei, Hamid Choobineh, Keivan Maghooli, Mojtaba Vahidi-Asl

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Predicting Stroke Type (Infarction vs. Hemorrhagic) using Brain.js Deep Learning by Marhaendraputro Eko Arisetijono, Ernanda Shelby Amrus, Karlina Intan Dwi, Nindyasti Raehani Ajeng Prabaswaratna, Syahriar Rivan Tegar

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Predicting the Rheological Performance of Self-Compacting Mortar and Concrete Using Artificial Neural Network by Andreas Kounadis, Angelos Galatis, Agapoula Papakonstantinou, Efstratios Badogiannis

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Displacement-Sensing Method Based on Residual Scaling for One-Shot MMF Specklegram Prediction by Bohao Shen, Jianzhi Li

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Maize Kernel Broken Rate Prediction Using Machine Vision and Machine Learning Algorithms by Chenlong Fan, Wenjing Wang, Tao Cui, Ying Liu, Mengmeng Qiao

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Identification of an extracellular matrix signature for predicting prognosis and sensitivity to therapy of patients with gastric cancer by Nan Xu, Taojing Zhang, Weiwei Sun, Chenxiao Ye, Huamiao Zhou

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The missing link: Predicting connectomes from noisy and partially observed tract tracing data. by Max Hinne, Annet Meijers, Rembrandt Bakker, Paul H E Tiesinga, Morten Mørup, Marcel A J van Gerven

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Wastewater surveillance as a predictive tool for COVID-19: A case study in Chengdu. by Dan Kuang, Xufang Gao, Nan Du, Jiaqi Huang, Yingxu Dai, Zhenhua Chen, Yao Wang, Cheng Wang, Rong Lu

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Hybrid machine learning for flood prediction: comparing CHIRPS satellite and ground station data by Agustina Rachmawardani, Budhy Kurniawan, Sastra Kusuma Wijaya, Ardhasena Sopaheluwakan, Marzuki Sinambela

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BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches by Pinakshi Panda, Sukant Kishoro Bisoy, Amrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, Zheshan Guo, Haipeng Liu, Prince Jain

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Deep learning‐based dose prediction for low‐energy electron beam superficial radiotherapy by Jialin Huang, Zhitao Dai, Shuai Hu, Yuanchun Ye, Yuling Chen, Ming Li, Tianye Niu, Jinfen Zheng, Yongsheng Huang, Yuanjie Bi

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A Senescence-Associated Gene Signature for Prognostic Prediction and Therapeutic Targeting in Adrenocortical Carcinoma by Hangya Peng, Qiujing Chen, Lei Ye, Weiqing Wang

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Machine learning-based coalbed methane well production prediction and fracturing parameter optimization by HU Qiujia, LIU Chunchun, ZHANG Jianguo, CUI Xinrui, WANG Qian, WANG Qi, LI Jun, HE Shan

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A Deep Learning Approach Based on Interpretable Feature Importance for Predicting Sports Results by Bendiaf Messaoud, Khelifi Hakima, Mohdeb Djamila, Belazzoug Mouhoub, Saifi Abdelhamid

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Rockburst Disaster Prediction of Isolated Coal Pillar by Electromagnetic Radiation Based on Frictional Effect by Tongbin Zhao, Yanchun Yin, Fukun Xiao, Yunliang Tan, Jianchao Zou

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Relationship between urban traffic crashes and temporal/meteorological conditions: understanding and predicting the effects by Xiao Tang, Zihan Liu, Zhenlin Wei

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Machine learning for predicting Plasmodium liver stage development in vitro using microscopy imaging by Corin F. Otesteanu, Reto Caldelari, Volker Heussler, Raphael Sznitman

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