Mud Loss Analysis Through Predictive Modeling of Pore Pressure and Fracture Gradients in Tin Fouye Tabankort Field, Western Illizi Basin, Algeria by Reda Laouini, Messaoud Hacini, Hocine Merabti, Fethi Medjani, Omar Mahmoud

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Optimizing photocatalytic dye degradation: A machine learning and metaheuristic approach for predicting methylene blue in contaminated water by Yunus Ahmed, Keya Rani Dutta, Sharmin Nahar Chowdhury Nepu, Meherunnesa Prima, Hamad AlMohamadi, Parul Akhtar

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Data-driven hybrid SARIMAX-MLP framework for energy consumption prediction in residential micro-grid by Ibrahim Ali Kachalla, Christian Ghiaus, Adeniran Ademuwagun, Olufemi Babajide Odeyinde, Majid Baseer

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Prediction of persistent type II endoleak after endovascular aortic repair using machine learning based on preoperative clinical data and radiomic by Jinqing Mo, Qi Liu, Kangjie Wang, Lin Huang, Chen Yao

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Prediction of the Ecological Behavior of <i>Burkholderia gladiolus</i> in Fresh Wet Rice Noodles at Different Temperatures and Its Correlation with Quality Changes by Mengmeng Li, Ke Xiong, Wen Jin, Yumeng Hu

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Evaluation of the impact of COVID-19 pandemic on hospital admission related to common infections: Risk prediction models to tackle antimicrobial resistance in primary care. by Ali Fahmi, Victoria Palin, Xiaomin Zhong, Ya-Ting Yang, Simon Watts, Darren M Ashcroft, Ben Goldacre, Brian MacKenna, Louis Fisher, Jon Massey, Amir Mehrkar, Seb Bacon, OpenSAFELY Collaborative, Kieran Hand, Tjeerd Pieter van Staa

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A Neural Network-Based Model Predictive Control for a Grid-Connected Photovoltaic–Battery System with Vehicle-to-Grid and Grid-to-Vehicle Operations by Ossama Dankar, Mohamad Tarnini, Abdallah El Ghaly, Nazih Moubayed, Khaled Chahine

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Smart Microgrid Management and Optimization: A Systematic Review Towards the Proposal of Smart Management Models by Paul Arévalo, Dario Benavides, Danny Ochoa-Correa, Alberto Ríos, David Torres, Carlos W. Villanueva-Machado

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Comparison of methodologies for flow prediction through teleconnection indices. Case study: Paute river basin by Maria Daniela Gonzalez, Dario Xavier Zhina, Alexandra Guanuchi-Quito, Alex Aviles-Anazco

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Predicting the potential distribution change of the endangered Francois' langur (Trachypithecus francoisi) across its entire range in China under climate change by Yaqiong Wan, Luanxin Li, Jiang Zhou, Yue Ma, Yanjing Zhang, Yan Liu, Jiaqi Li, Wei Liu

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Modeling and construction of nomogram of cage subsidence after single-segment transforaminal lumbar interbody fusions by Jinxiang Zhan, Qipeng Wei, Weijun Guo, Zihao Liu, Shiji Chen, Qingyan Huang, Dongling Cai

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Integration of Sensor Data and Mathematical Modeling of Underwater Robot Behavior Using a Digital Twin by M. D. Gladyshev, A. V. Rybakov

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Predicting the geospatial distribution of Chinese rice nutrient element in regional scale for the geographical origin—A case study on the traceability of Japonica rice by Meiling Sheng, Chunlin Li, Weixing Zhang, Jing Nie, Hao Hu, Weidong Lou, Xunfei Deng, Shengzhi Shao, Xiaonan Lyu, Zhouqiao Ren, Karyne M. Rogers, Syed Abdul Wadood, Yongzhi Zhang, Yuwei Yuan

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Predictive maintenance in naval vessel propulsion systems for enhanced marine operations using a BiGMM-HMM framework with divergence-based clustering by Farshid Javadnejad, Hyoshin John Park, Samuel Kovacic, Andres Sousa-Poza

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Virtual-Vector-Based Predictive Torque Control for Six-Phase IM With Reduced Computational Burden and Copper Losses by Osvaldo Gonzalez, Jesus Doval-Gandoy, Magno Ayala, Jorge Rodas, Paola Maidana, Christian Medina, Carlos Romero, Larizza Delorme, Raul Gregor, Ricardo Maciel

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Predictive Model for Erosion Rate of Concrete Under Wind Gravel Flow Based on K-Fold Cross-Validation Combined with Support Vector Machine by Yanhua Zhao, Kai Zhang, Aojun Guo, Fukang Hao, Jie Ma

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Modeling the electrical conductivity relationship between saturated paste extract and 1:2.5 dilution in different soil textural classes by Moh’d M. Omar, Moh’d M. Omar, Mawazo J. Shitindi, Boniface H. J. Massawe, Ole Pedersen, Joel L. Meliyo, Kadeghe G. Fue

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Optimization Design of Indoor Substation Ventilation and Noise Reduction Based on Deep Reinforcement Learning by Jinhui TANG, Fayuan WU, Yanli ZHI, Mengting MAO, Xiaomin DAI

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Development and validation of an improved prediction model for vaginal birth after previous cesarean section: a retrospective cohort study of a Chinese population by Haiyan Liu, Yi Yu, Xiaoyue Zhang, Jiangnan Pei, Yao Tang, Rong Hu, Weirong Gu

“…Internal validation performed by bootstrap resampling, calibration curves, and Hosmer-Lemeshow test confirmed the model’s robust performance. An optimal predicted probability cut-off of 0.7 was identified by decision curve analysis and clinical considerations.Conclusions The improved predictive VBAC model exhibited adequate performance such that women with a prior low transverse cesarean delivery who scored 0.7 or higher (in the model-derived probability score) would consider TOLAC, potentially leading to a reduction in maternal-neonatal morbidity.Registration The study was approved by the Ethical Committee of Obstetrics and Gynecology Hospital, Fudan University (2018-43) and was registered in the Chinese Clinical Trial Registry (ChiCTR1900022484), https://www.chictr.org.cn/showproj.html?…”
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Machine learning in predicting immediate and long-term outcomes of myocardial revascularization: a systematic review by B. I. Geltser, V. Yu. Rublev, M. M. Tsivanyuk, K. I. Shakhgeldyan

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