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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Carbon reduction strategies for logistics based on emission prediction under multi-scenarios in coastal developed region by Junyu Chen, Yan Zhu, Shengnan Wu, Chuanming Yang, Huimin Wang

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Machine learning opportunities to predict obstetric haemorrhages by Yu. S. Boldina, A. A. Ivshin

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Personal Development Planning of the UK Students: Implementation Models by N. Yu. Shaposhnikova

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Protein structure prediction via deep learning: an in-depth review by Yajie Meng, Zhuang Zhang, Chang Zhou, Xianfang Tang, Xinrong Hu, Geng Tian, Jialiang Yang, Yuhua Yao, Yuhua Yao, Yuhua Yao

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Investigation into Using CFD for Estimation of Ship Specific Parameters for the SPICE Model for Prediction of Sea Spray Icing: Part 1—The Proposal by Sujay Deshpande, Per-Arne Sundsbø

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Personal resources conducive to educational success: high achieving students’ perspectives by Jolise 't Mannetje, Marjolein Heijne-Penninga, Nicole Mastenbroek, Marca Wolfensberger, Debbie Jaarsma

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Experiences with interactive video assessment in higher education to enhance teaching and learning by Joyce West

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Contemporary experience of education digitalization by V. V. Godin, A. E. Terekhova

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A Bayesian framework perspective for model of paired comparison in cricket teams ranking by Hajar M. Alkhezi, Ahmad Shafee, Yousuf Alkhezi

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EVALUATION OF THE RELATIONSHIP BETWEEN SPRAY LIQUID PRESSURE AND MACHINE SPEED USING THREE TYPES OF NOZZLES ON A BOOM SPRAYER by G. Tihanov, G. Hristova, P. Veleva

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Machine learning as a tool for diagnostic and prognostic research in coronary artery disease by B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, V. Yu. Rublev

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Predicting onset of myopic refractive error in children using machine learning on routine pediatric eye examinations only by Yonina Ron, Tchelet Ron, Naomi Fridman, Anat Goldstein

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SHAP combined with machine learning to predict mortality risk in maintenance hemodialysis patients: a retrospective study by Peng Shu, Xia Wang, Zhuping Wen, Jie Chen, Fang Xu

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An explainable analysis of diabetes mellitus using statistical and artificial intelligence techniques by William Hoyos, Kenia Hoyos, Rander Ruiz, Jose Aguilar

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Designing Predictive Analytics Frameworks for Supply Chain Quality Management: A Machine Learning Approach to Defect Rate Optimization by Zainab Nadhim Jawad, Balázs Villányi

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Analysis of Uncertainty in Conveyor Belt Condition Assessment Using Time-Based Indicators by Aleksandra Rzeszowska, Leszek Jurdziak, Ryszard Błażej, Paweł Lewandowicz

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Predicting Firefighter Injury and Entrapment in Urban Firefighting Operations: An Investigation Into the Effectiveness of Modified Fire Time Stages and Machine Learning by Mohammad Mahdi Barati Jozan, Hamed Khosravi, Aynaz Lotfata, Krzysztof J. Cios, Hamed Tabesh

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Prediction of prolonged mechanical ventilation in the intensive care unit via machine learning: a COVID-19 perspective by Marianna Weaver, Dylan A. Goodin, Hunter A. Miller, Dipan Karmali, Apurv A. Agarwal, Hermann B. Frieboes, Sally A. Suliman

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Analytical prediction of groundwater loss in deep coal mines induced by ground vibration by Pieride Mabe Fogang, Bingjie Huo, Hervé Losaladjome Mboyo, Rong Hai, Songtao Zhang, Lesly Dasilva Wandji Djouonkep, Dieudonné Bisso

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