Achieving environmental sustainability via an integrated shampoo optimized BiLSTM-Transformer model for enhanced time-series forecasting by Asmaa Mohamed El-saieed, Nada A. Dief

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Prediction of prostate biopsy outcomes at different cut-offs of prostate-specific antigen using machine learning: a multicenter study by Mostafa A. Arafa, Karim H. Farhat, Sherin F. Aly, Farrukh K. Khan, Alaa Mokhtar, Abdulaziz M. Althunayan, Waleed Al-Taweel, Sultan S. Al-Khateeb, Sami Azhari, Danny M. Rabah

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A Construction and Representation Learning Method for a Traffic Accident Knowledge Graph Based on the Enhanced TransD Model by Xiaojia Liu, Haopeng Wu, Dexin Yu, Yunjie Chen, Hao Wu

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Parallel Multi-Model Energy Demand Forecasting with Cloud Redundancy: Leveraging Trend Correction, Feature Selection, and Machine Learning by Kamran Hassanpouri Baesmat, Zeinab Farrokhi, Grzegorz Chmaj, Emma E. Regentova

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Capacity Forecasting of Lithium-Ion Batteries Using Empirical Models: Toward Efficient SOH Estimation with Limited Cycle Data by Kanchana Sivalertporn, Piyawong Poopanya, Teeraphon Phophongviwat

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CT Radiomics Nomogram Prediction for Tumor Deposits and Prognosis in Colorectal Cancer by Manman LI, Yigang FU, Yong XIAO, Wang CHEN, Feng FENG, Guodong XU

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Using topological data analysis and machine learning to predict customer churn by Marcel Sagming, Reolyn Heymann, Maria Vivien Visaya

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Comparative evaluation of lethal outcome prediction methods in severely burned patients by O. O. Zavorotniy, E. V. Zinoviev, V. G. Volkov, D. V. Kostyakov, D. H. Halipaeva, A. V. Semiglazov, T. Z. Gogohiya

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Artificial intelligence for surgical outcome prediction in glaucoma: a systematic review by Zeena Kailani, Lauren Kim, Joshua Bierbrier, Michael Balas, David J. Mathew, David J. Mathew

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Improving multi-trait genomic prediction by incorporating local genetic correlations by Jun Teng, Tingting Zhai, Xinyi Zhang, Changheng Zhao, Wenwen Wang, Hui Tang, Chao Ning, Yingli Shang, Dan Wang, Qin Zhang

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Predicting Phenoconversion in Isolated RBD: Machine Learning and Explainable AI Approach by Yong-Woo Shin, Jung-Ick Byun, Jun-Sang Sunwoo, Chae-Seo Rhee, Jung-Hwan Shin, Han-Joon Kim, Ki-Young Jung

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Precision Adverse Drug Reactions Prediction with Heterogeneous Graph Neural Network by Yang Gao, Xiang Zhang, Zhongquan Sun, Payal Chandak, Jiajun Bu, Haishuai Wang

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Ensemble learning based sustainable approach to rebuilding metal structures prediction by Tetiana Vlasenko, Taras Hutsol, Vitaliy Vlasovets, Szymon Glowacki, Tomasz Nurek, Iryna Horetska, Savelii Kukharets, Yuriy Firman, Olexandra Bilovod

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Use machine learning to predict treatment outcome of early childhood caries by Yafei Wu, Maoni Jia, Ya Fang, Duangporn Duangthip, Chun Hung Chu, Sherry Shiqian Gao

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Can spatial distribution of ungulates be predicted by modeling camera trap data related to landscape indices? A case study in a fragmented mediterranean landscape by Antonio Belda, Sandra Oltra-Crespo, Pau Miró-Martínez, Benito Zaragozí

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Study protocol: Comparison of different risk prediction modelling approaches for COVID-19 related death using the OpenSAFELY platform [version 2; peer review: 2 approved] by Richard Croker, Anna Schultze, Frank Hester, John Parry, Rafael Perera, Sam Harper, Rosalind M. Eggo, Liam Smeeth, Ewout Steyerberg, Caroline Minassian, Ruth Keogh, Karla Diaz-Ordaz, Stephen J.W. Evans, Elizabeth J. Williamson, Krishnan Bhaskaran, John Tazare, Helen I McDonald, Alex J. Walker, Sebastian Bacon, Laurie A. Tomlinson, Helen J. Curtis, Chris Bates, Caroline E. Morton, Harriet Forbes, Amir Mehrkar, Emily Nightingale, Brian D Nicholson, Richard Grieve, Dave Evans, Peter Inglesby, David Harrison, Ben Goldacre, David Leon, Jonathan Cockburn, Brian MacKenna, Rohini Mathur, Will J. Hulme, Nicholas G. Davies, Ian J. Douglas, Jessica Morley, Angel Wong, Christopher T. Rentsch

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Study on the impact of COVID-19 epidemic and agent disease risk simulation model based on individual factors in Xi’an City by Wen Dong, Wen Dong, Henan Yao, Henan Yao, Wei-Na Wang

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Modal Analysis of QP and LP Solution in Steady-state Optimization Layer of Two-layer Structure MPC by WANG Hongrui, ZHANG Xin, LIU Bowen, LIN Na, ZOU Tao

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Combining physics-based and data-driven models for quantitatively accurate plasma profile prediction that extrapolates well; with application to DIII-D, AUG, and ITER tokamaks by J. Abbate, E. Fable, G. Tardini, R. Fischer, E. Kolemen, the ASDEX Upgrade Team

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Deriving Early Citrus Fruit Yield Estimation by Combining Multiple Growing Period Data and Improved YOLOv8 Modeling by Menglin Zhai, Juanli Jing, Shiqing Dou, Jiancheng Du, Rongbin Wang, Jichi Yan, Yaqin Song, Zhengmin Mei

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