Deep Learning-Driven Molecular Generation and Electrochemical Property Prediction for Optimal Electrolyte Additive Design by Dongryun Yoon, Jaekyu Lee, Sangyub Lee

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Explainable artificial intelligence driven insights into smoking prediction using machine learning and clinical parameters by S. Aishwarya, P. C. Siddalingaswamy, Krishnaraj Chadaga

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Predicting changes in agricultural yields under climate change scenarios and their implications for global food security by Christine Li, James Camac, Andrew Robinson, Tom Kompas

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Deep Learning-Based Robust Automated System for Predicting Human Sperm DNA Fragmentation Index by Roopini Sathiasai Kumar, Swapnil Sharma, Arunima Halder, Vipin Gupta

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Physician performance scores used to predict emergency department admission numbers and excessive admissions burden by Jacob Chen, Andy Eyre, Gideon Y Stein, Danny Alon

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Predicting road quality using high resolution satellite imagery: A transfer learning approach. by Ethan Brewer, Jason Lin, Peter Kemper, John Hennin, Dan Runfola

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FCA-STNet: Spatiotemporal Growth Prediction and Phenotype Extraction from Image Sequences for Cotton Seedlings by Yiping Wan, Bo Han, Pengyu Chu, Qiang Guo, Jingjing Zhang

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Traffic flow prediction based on spatial-temporal multi factor fusion graph convolutional networks by Ying-Ting Chen, An Liu, Cheng Li, Shuang Li, Xiao Yang

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Development and validation of a nomogram for predicting postoperative intraluminal hemorrhage in patients undergoing laparoscopic pancreaticoduodenectomy by Shuai Wang, Dongrui Li, Chengxu Du, Xinda Yang, Lv Haitao

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Interictal neural fragility predicts seizure onset zone and surgical outcomes in drug-resistant epilepsy by Yue Pang, Yixuan Yang, Yunqing Lin, Jianyu Zhu, Penghui Liu, Yu Tian, Feng Wang, Zhen Mei, Dezhi Kang, Miao Cao, Yuanxiang Lin

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Efficient neural network training method for unsteady flow field prediction based on data pool by Qiuchi Min, Tianyu Li, Guanxiong Li, Shuyuan Liu, Laiping Zhang, Xiaogang Deng

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Major vessel occlusion may predict subtherapeutic anticoagulation intensity and feasibility of administration of intravenous thrombolytics. by Jun Young Chang, Seunguk Jung, Hyun Park, Moon-Ku Han

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Machine learning approach for prediction of safe mud window based on geochemical drilling log data by Hongchen Cai, Yunliang Yu, Yingchun Liu, Xiangwei Gao

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Prediction of adverse clinical outcomes in pregnant women with severe and extremely severe forms of coronavirus infection by A. V. Shchegolev, R. E. Lakhin, A. A. Nikulin, S. G. Meshchaninova, V. F. Bezhenar

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Applying Machine Learning Techniques to Predict Drug-Related Side Effect: A Policy Brief by Esmaeel Toni MSc, Haleh Ayatollahi PhD

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Interpretable Transformer Neural Network Prediction of Diverse Environmental Time Series Using Weather Forecasts by Enrique Orozco López, David Kaplan, Anna Linhoss

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Probabilistic Prediction of Spudcan Bearing Capacity in Stiff-over-Soft Clay Based on Bayes’ Theorem by Zhaoyu Sun, Pan Gao, Yanling Gao, Jianze Bi, Qiang Gao

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Predictive Performance of Machine Learning with Evoked Potentials for SCI and MS Prognosis: A Meta-Analysis by Constantinos Koutsojannis, Dionysia Chrysanthakopoulou

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Topography and land cover of watersheds predicts the distribution of the environmental pathogen Mycobacterium ulcerans in aquatic insects. by Kevin Carolan, Andres Garchitorena, Gabriel E García-Peña, Aaron Morris, Jordi Landier, Arnaud Fontanet, Philippe Le Gall, Gaëtan Texier, Laurent Marsollier, Rodolphe E Gozlan, Sara Eyangoh, Danny Lo Seen, Jean-Francois Guégan

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Hybrid Neural Network Approach with Physical Constraints for Predicting the Potential Occupancy Set of Surrounding Vehicles by Bin Sun, Shichun Yang, Jiayi Lu, Yu Wang, Xinjie Feng, Yaoguang Cao

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