A Data Imputation Strategy to Enhance Online Game Churn Prediction, Considering Non-Login Periods by JaeHong Lee, Pavinee Rerkjirattikal, SangGyu Nam

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Combining machine learning with structure-based protein design to predict and engineer post-translational modifications of proteins. by Moritz Ertelt, Vikram Khipple Mulligan, Jack B Maguire, Sergey Lyskov, Rocco Moretti, Torben Schiffner, Jens Meiler, Clara T Schoeder

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Computational-Chemistry-Based Prediction of Near-Infrared Rhodamine Fluorescence Peaks with Sub-12 nm Accuracy by Qinlin Yuan, Hanwei Wang, Pingping Sun, Chaoyuan Zeng, Weijie Chi

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Predicting the Spatial Distribution of Geological Hazards in Southern Sichuan, China, Using Machine Learning and ArcGIS by Ruizhi Zhang, Dayong Zhang, Bo Shu, Yang Chen

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Optimization of Battery Thermal Management for Real Vehicles via Driving Condition Prediction Using Neural Networks by Haozhe Zhang, Jiashun Zhang, Tianchang Song, Xu Zhao, Yulong Zhang, Shupeng Zhao

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Feature selection using a multi-strategy improved parrot optimization algorithm in software defect prediction by Qi Fei, Guisheng Yin, Zhian Sun

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Predicting survival of de novo metastatic breast cancer in Asian women: systematic review and validation study. by Hui Miao, Mikael Hartman, Nirmala Bhoo-Pathy, Soo-Chin Lee, Nur Aishah Taib, Ern-Yu Tan, Patrick Chan, Karel G M Moons, Hoong-Seam Wong, Jeremy Goh, Siti Mastura Rahim, Cheng-Har Yip, Helena M Verkooijen

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Urban Water-Energy consumption Prediction Influenced by Climate Change utilizing an innovative deep learning method by Dianli Wang, Yu Zhang, Nasser Yousefi

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Research progress in deep learning-based fundus image analysis for the diagnosis and prediction of hypertension-related diseases by Ping Li, Juan Tao, Quan Yuan, Rongqing Zhang, Peng Gao

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Artificial Intelligence Optimization for User Prediction and Efficient Energy Distribution in Electric Vehicle Smart Charging Systems by Siow Jat Shern, Md Tanjil Sarker, Mohammed Hussein Saleh Mohammed Haram, Gobbi Ramasamy, Siva Priya Thiagarajah, Fahmid Al Farid

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Grammar-Based Computational Framework for Predicting Pseudoknots of K-Type and M-Type in RNA Secondary Structures by Christos Pavlatos

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Predicting calorific value through proximate analysis of municipal solid waste using soft computing system by Saptarshi Mondal, Islam M. Rafizul

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Assessing the Predictive Validity of Risk Assessment Tools in Child Health and Well-Being: A Meta-Analysis by Ning Zhu, Xiaoqing Pan, Fang Zhao

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A mechanics-informed machine learning framework for traumatic brain injury prediction in police and forensic investigations by Yuyang Wei, Jeremy Oldroyd, Phoebe Haste, Jayaratnam Jayamohan, Michael Jones, Nicholas Casey, Jose-Maria Peña, Sonya Baylis, Stan Gilmour, Antoine Jérusalem

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Stacking ensemble machine learning for predicting land surface temperature hotspots using landsat 9 data by Momohjimoh Abdulsalami, Dahiru Dahuwa, Saratu Muhammad Hussaini, Yahaya Jibrin Danjuma, Michael Adewale Ibitomi, Danga Onimisi Abdulmalik, Bunmi Oyekola Isaac, Zainab Usman, Joseph Omeiza Alao, Aliyu Abdullateef

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Unraveling the dynamics of emotional regulation and parental warmth across early childhood: prediction of later behavioral problems by Aimé Isdahl-Troye, Paula Villar, María Álvarez-Voces, Estrella Romero

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Predicting incident type 2 diabetes in a Japanese cohort: an 8-year analysis of the NAGALA database by Yangchun Wang, Fei Liu, Ruixiang Tong, Zhonghua He, Qin Fang, Jie Feng, Hongliang An, Junjun Liu

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Autonomic nervous system development-related signature as a novel predictive biomarker for immunotherapy in pan-cancers by Cunen Wu, Cunen Wu, Cunen Wu, Cunen Wu, Weiwei Xue, Yuwen Zhuang, Dayue Darrel Duan, Dayue Darrel Duan, Zhou Zhou, Zhou Zhou, Xiaoxiao Wang, Zhenfeng Wu, Jin-yong Zhou, Xiangkun Huan, Ruiping Wang, Haibo Cheng, Haibo Cheng

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Multi-Trait Genomic Prediction of Meat Yield in Pacific Whiteleg Shrimp (<i>Penaeus vannamei</i>) by Shiwei Zhang, Jie Kong, Jian Tan, Xianhong Meng, Ping Dai, Jiawang Cao, Kun Luo, Mianyu Liu, Qun Xing, Yi Tian, Juan Sui, Sheng Luan

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Prediction of Parkinson Disease Using Long-Term, Short-Term Acoustic Features Based on Machine Learning by Mehdi Rashidi, Serena Arima, Andrea Claudio Stetco, Chiara Coppola, Debora Musarò, Marco Greco, Marina Damato, Filomena My, Angela Lupo, Marta Lorenzo, Antonio Danieli, Giuseppe Maruccio, Alberto Argentiero, Andrea Buccoliero, Marcello Dorian Donzella, Michele Maffia

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