A Near-Real-Time Model for Predicting Electricity Disruptions in Texas During Winter Storms by Jangjae Lee, Sangkeun Lee, Supriya Chinthavali, Stephanie Paal

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Correcting errors in seasonal Arctic sea ice prediction of Earth system models with machine learning by Z. He, Z. He, Z. He, Y. Wang, J. Brajard, X. Wang, X. Wang, Z. Shen, Z. Shen

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Predictable Variations of the Carbon Sinks and Atmospheric CO2 Growth in a Multi‐Model Framework by T. Ilyina, H. Li, A. Spring, W. A. Müller, L. Bopp, M. O. Chikamoto, G. Danabasoglu, M. Dobrynin, J. Dunne, F. Fransner, P. Friedlingstein, W. Lee, N. S. Lovenduski, W.J. Merryfield, J. Mignot, J.Y. Park, R. Séférian, R. Sospedra‐Alfonso, M. Watanabe, S. Yeager

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Hybrid machine learning and physics-based model for estimating lettuce (Lactuca sativa) growth and resource consumption in aeroponic systems by Benedetta Fasciolo, Nicolò Grasso, Giulia Bruno, Paolo Chiabert

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Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit by Shuxing Wei, Hongmeng Dong, Weidong Yao, Ying Chen, Xiya Wang, Wenqing ji, Yongsheng Zhang, Shubin Guo

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Modeling and Simulation for Predicting Thermo-Mechanical Behavior of Wafer-Level Cu-PI RDLs During Manufacturing by Xianglong Chu, Shitao Wang, Chunlei Li, Zhizhen Wang, Shenglin Ma, Daowei Wu, Hai Yuan, Bin You

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Development of a nomogram for predicting recurrence of epithelial ovarian cancer involving traditional Chinese medicine treatment by Xiaofeng Chen, Xiaofeng Chen, Xudong Hu, Huanmei Lin, Ziang Li, Baijun Gao, Hongmei Ouyang, Xiangdan Hu, Jing Xiao

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Accuracy of the 'Benish' and 'Developed Benish' Models in Predicting the Probability of Restating Financial Statements in Iran's Economic Environment by Sasan Mehrani, Akbar Rahimipoor

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Prediction of KRAS gene mutations in colorectal cancer using a CT-based radiomic model by Wenjing Wang, Qingbiao Zhang, Shimei Fan, Yuyin Wang, Xingyan Le, Min Ai, Chunqi Du, Junbang Feng, Chuanming Li

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Biochemical Oxygen Demand Prediction Based on Three-Dimensional Fluorescence Spectroscopy and Machine Learning by Xu Zhang, Yihao Zhang, Xuanyi Yang, Zhiyun Wang, Xianhua Liu

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Rapid Damage Assessment and Bayesian-Based Debris Prediction for Building Clusters Against Earthquakes by Xiaowei Zheng, Yaozu Hou, Jie Cheng, Shuai Xu, Wenming Wang

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Integration of deep learning and railway big data for environmental risk prediction models and analysis of their limitations by Liuhui Quan, Minjie Wang, Lyu Baihang, Zhang Ziwen, Zhang Ziwen, Zhang Ziwen

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Study on an interpretable prediction model for pile bearing capacity based on SHAP and BP neural networks by Shunbo Li, Mingwei Hai, Qi Zhang, Bin Zhou, Miao Wang, Zhuo Zhao

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From Data to Diagnosis: Machine Learning Revolutionizes Epidemiological Predictions by Abdul Aziz Abdul Rahman, Gowri Rajasekaran, Rathipriya Ramalingam, Abdelrhman Meero, Dhamodharavadhani Seetharaman

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Prediction of the Electricity Demand in the Market: An Application of Optimization and Machine Learning by Ahmed Majed Althahabi, Hassan Mohammed Abed, Raed Khalid, Abrar Ryadh, Ali Al Mansor, Kadhum Al-Majdi, Adil Abbas Alwan

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Real-time monitoring to predict depressive symptoms: study protocol by Yu-Rim Lee, Jong-Sun Lee

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Time series prediction for monitoring cardiovascular health in autistic patients by Congsha Ma, Ming Lei

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Comparison of Three Computational Tools for the Prediction of RNA Tertiary Structures by Frank Yiyang Mao, Mei-Juan Tu, Gavin McAllister Traber, Ai-Ming Yu

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A glutamine metabolish-associated prognostic model to predict prognosis and therapeutic responses of hepatocellular carcinoma by Hao Xu, Hui Pan, Lian Fang, Cangyuan Zhang, Chen Xiong, Weiti Cai

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Development of a high-performing, cost-effective and inclusive Afrocentric predictive model for stroke: a meta-analysis approach  by M Nweke, P Oyirinnaya, P Nwoha, SB Mitha, N Mshunqane, N Govender, M Ukwuoma, SC Ibeneme

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