Sand Production Prediction Model for Tight Sandstone Oil Reservoirs by Zhan-dong Li, Hong Pang, Zhong Li, Hai-xiang Zhang, Dian-ju Wang, Ji Li

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Diagnostic prediction model for levodopa-induced dyskinesia in Parkinson’s disease by Bruno Lopes SANTOS-LOBATO, Artur F. SCHUMACHER-SCHUH, Carlos R. M. RIEDER, Mara H. HUTZ, Vanderci BORGES, Henrique Ballalai FERRAZ, Ignacio F. MATA, Cyrus P. ZABETIAN, Vitor TUMAS

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Ensemble prediction modeling of flotation recovery based on machine learning by Guichun He, Mengfei Liu, Hongyu Zhao, Kaiqi Huang

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Hyperparameter optimization of machine learning models for predicting actual evapotranspiration by Chalachew Muluken Liyew, Elvira Di Nardo, Stefano Ferraris, Rosa Meo

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Multi-model assessment and thermodynamic prediction for oxalate-tungstate complexes by Yong Liang, Ting Pu, Zanhong Chen, Yinliang Liu, Congyu Zhang

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Predicting lung nodules malignancy by M. Jacob, J. Romano, D. Araújo, J.M. Pereira, I. Ramos, V. Hespanhol

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Machine learning proteochemometric models for Cereblon glue activity predictions by Francis J. Prael, III, Jiayi Cox, Noé Sturm, Peter Kutchukian, William C. Forrester, Gregory Michaud, Jutta Blank, Lingling Shen, Raquel Rodríguez-Pérez

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A Combined PSO-LSTM Prediction Model for Dam Deformation by HAO Ze-jia, SHI Yu-qun, CHENG Bo-chao, HE Jin-ping

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Prediction of coalbed methane productivity based on neural network models by JIN Yi, ZHENG Chenhui, SONG Huibo, MA Jiaheng, YANG Yunhang, LIU Shunxi, ZHANG Kun, NI Xiaoming

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Theoretical Modeling of 4.3 μm Mid-Infrared Lasing in Dy³⁺-Doped Chalcogenide Fiber Lasers by Xusheng Xiao, Yantao Xu, Haitao Guo, Pengfei Wang, Xiaoxia Cui, Min Lu, Yishan Wang, Bo Peng

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Physical education and sport activity assessment tool-based machine learning predictive analysis for planification of training sessions by Mohamed Rebbouj, Said Lotfi

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Development and Validation of an Interpretable Machine Learning Model for Prediction of the Risk of Clinically Ineffective Reperfusion in Patients Following Thrombectomy for Ischem... by Hu X, Qi D, Li S, Ye S, Chen Y, Cao W, Du M, Zheng T, Li P, Fang Y

“…The SHAP algorithm identified the number of endovascular thrombectomy (EVT) attempts as the key factor influencing CIR. Based on the RF model, a web-based calculator for CIR prediction is available at https://ineffectivereperfusion.shinyapps.io/calculate/. …”
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Comparison of the effects of three time series models in predicting the trend of erythrocyte blood demand by QIU Yajuan, ZHANG Jianping, LUO Jia, LI Peilin, LUO Mengzhuo, LI Qiongying, LIU Ge, LEI Qing, LIAO Kai

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Exploring the predictive “psycho-biomarkers” for checkpoint immunotherapy in cancer by Qian Zuo, Jieting Chen, Jieting Chen, Xi Xiao, Yan Dai, Liushan Chen, Liushan Chen, Yuqi Liang, Yingchao Wu, Junfeng Huang, Rutao Cui, Rui Xu, Qianjun Chen, Qianjun Chen, Qianjun Chen, Qianjun Chen

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Machine learning modeling for predicting adherence to physical activity guideline by Ju-Pil Choe, Seungbak Lee, Minsoo Kang

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Nonlinearity Estimation and Compensation for Accurate PMSM Modeling and Voltage Prediction by Beichen Ding, Yuting Lu, Chunyan Lai, Weiwen Peng, Kaide Huang, Guodong Feng

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A Hybrid LSTM-GRU Model for Stock Price Prediction by Amirfarhad Farhadi, Azadeh Zamanifar, Amir Alipour, Alireza Taheri, Mohammad Asadolahi

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Calibrating AI Models for Wireless Communications via Conformal Prediction by Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai Shitz

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Generalized Additive Model for Predicting ECBR of Stabilized Subgrades for Pavement by Alka Shah, Tejaskumar Thaker, Vipin Shukla

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Modeling and Prediction of a Guidewire's Reachable Workspace and Deliverable Forces by Afsoon Nejati-Aghdam, M. Ali Tavallaei

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