Mitigating class imbalance in churn prediction with ensemble methods and SMOTE by R. Suguna, J. Suriya Prakash, H. Aditya Pai, T. R. Mahesh, Venkatesan Vinoth Kumar, Temesgen Engida Yimer

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Prediction and Screening of Lead-Free Double Perovskite Photovoltaic Materials Based on Machine Learning by Juan Wang, Yizhe Wang, Xiaoqin Liu, Xinzhong Wang

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Potential Barriers to Adaptive Actions in Water–Rice Coupled Systems in Japan: A Framework for Predicting Soft Adaptation Limits by Asari Takada, Takeo Yoshida, Yasushi Ishigooka, Atsushi Maruyama, Ryoji Kudo

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Enhancing Hajj and Umrah Services Through Predictive Social Media Classification by Samia Allaoua Chelloug, Mohammed Saleh Ali Muthanna, Faisal Jamil, Mehdhar S. A. M. Al-Gaashani, Soha Alhelaly, Ahmed Aziz, Ammar Muthanna

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Modeling Age-to-Age Development Factors in Auto Insurance Through Principal Component Analysis and Temporal Clustering by Shengkun Xie, Chong Gan

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Predicting cellular responses to complex perturbations in high‐throughput screens by Mohammad Lotfollahi, Anna Klimovskaia Susmelj, Carlo De Donno, Leon Hetzel, Yuge Ji, Ignacio L Ibarra, Sanjay R Srivatsan, Mohsen Naghipourfar, Riza M Daza, Beth Martin, Jay Shendure, Jose L McFaline‐Figueroa, Pierre Boyeau, F Alexander Wolf, Nafissa Yakubova, Stephan Günnemann, Cole Trapnell, David Lopez‐Paz, Fabian J Theis

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Prediction of Resthenosis After Carotid Endarterectomy by the Method of Computer Simulation by A. N. Kazantsev, R. A. Vinogradov, Yu. N. Zakharov, V. G. Borisov, M. A. Chernyavsky, V. N. Kravchuk, D. V. Shmatov, K. P. Chernykh, A. A. Sorokin, G. Sh. Baghdavadze, S. V. Artyukhov, G. G. Khubulava

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Dual statistical models link baseline visual attention measure to risk for significant symptomatic concussion in sports by Lisa A Spielman, Jun Maruta, Jamshid Ghajar

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Using Permutation-Based Feature Importance for Improved Machine Learning Model Performance at Reduced Costs by Adam Khan, Asad Ali, Jahangir Khan, Fasee Ullah, Muhammad Faheem

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Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study by Yi Liu, Yehua Xu, Lixia Guo, Zhongbin Chen, Xueqin Xia, Feng Chen, Li Tang, Hua Jiang, Caixia Xie

“…This study aimed to develop and externally validate machine learning models for predicting malnutrition within 24 h of intensive care unit (ICU) admission, culminating in a web-based malnutrition prediction tool for clinical decision support. …”
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The Predictability of Idealized Tropical Cyclones in Environments With Time‐Varying Vertical Wind Shear by Peter M. Finocchio, Sharanya J. Majumdar

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ANN and machine learning based predictions of MRR in AWSJ machining of CFRP composites by K. Ramesha, N. Santhosh, B. A. Praveena, Banakara Nagaraj, N. Channa Keshava Naik, Quadri Noorulhasan Naveed, Ayodele Lasisi, Anteneh Wogasso Wodajo

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Improved Gravity Model for Network Passenger Flow Distribution Prediction in the Initial Stage of the Existing Urban Rail Transit Extension Lines by LI Jiayi, ZHANG Longhao, SONG Xuyang, XU Ruihua

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Thermal Error Prediction in High-Power Grinding Motorized Spindles for Computer Numerical Control Machining Based on Data-Driven Methods by Quanhui Wu, Yafeng Li, Zhengfu Lin, Baisong Pan, Dawei Gu, Hailin Luo

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Modeling of wave-induced drift based on stepwise parameter calibration by Kui Zhu, Xueyao Chen, Lin Mu, Lin Mu, Lin Mu, Dingfeng Yu, Dingfeng Yu, Runze Yu, Zhaolong Sun, Tong Zhou, Tong Zhou

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Development and validation of a simple clinical nomogram for predicting infectious diseases in pediatric kidney transplantation recipients: a retrospective study by Li Li, Meng Fu, Changshan Wang, Yuxin Pei, Lizhi Chen, Liping Rong, Yuanyuan Xu, Zhilang Lin, Yuanquan Qiu, Xiaoyun Jiang, Mengjie Jiang

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Prediction of Thermal Conductivity of Elastic Single Jersey Knitted Fabric by Amany Khalil, Pavla Těšinová, Jakub Wiener, Ahmed Samy Eldeeb, Abdelhamid R.R. Aboalasaad

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A Study on the Pantograph Slide Wear Model Based on Energy Dissipation by Yiming Dong, Binghong Li, Zhonghua Chen, Hebin Wang, Huayang Zhang

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Performance Comparison of Genomic Best Linear Unbiased Prediction and Four Machine Learning Models for Estimating Genomic Breeding Values in Working Dogs by Joseph A. Thorsrud, Katy M. Evans, Kyle C. Quigley, Krishnamoorthy Srikanth, Heather J. Huson

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Predictive model for risk of gastric cancer using genetic variants from genome‐wide association studies and high‐evidence meta‐analysis by Lixin Qiu, Xiaofei Qu, Jing He, Lei Cheng, Ruoxin Zhang, Menghong Sun, Yajun Yang, Jiucun Wang, Mengyun Wang, Xiaodong Zhu, Weijian Guo

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