Machine learning-based hydrogen recycling model for predicting rovibrational distributions of released molecular hydrogen on tungsten materials via molecular dynamics simulations by Seiki Saito, Masato Iida, Hiroaki Nakamura, Keiji Sawada, Kazuo Hoshino, Masahiro Kobayashi, Masahiro Hasuo, Yuki Homma, Shohei Yamoto

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Seasonal Prediction of Surface Air Temperature across Vietnam Using the Regional Climate Model Version 4.2 (RegCM4.2) by Tan Phan Van, Hiep Van Nguyen, Long Trinh Tuan, Trung Nguyen Quang, Thanh Ngo-Duc, Patrick Laux, Thanh Nguyen Xuan

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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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A comparative performance analysis of machine learning models for compressive strength prediction in fly ash-based geopolymers concrete using reference data by Muhammad Kashif Anwar, Muhammad Ahmed Qurashi, Xingyi Zhu, Syyed Adnan Raheel Shah, Muhammad Usman Siddiq

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Predicting pull-out strength and failure modes of metal anchors embedded in masonry structures using explainable machine learning models and empirical equations by Aryan Baibordy, Mohammad Yekrangnia

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Enhanced prediction of heating value of municipal solid waste using hybrid neuro-fuzzy model and decision tree-based feature importance assessment by Oluwatobi Adeleke, Obafemi O. Olatunji, Tien-Chien Jen, Iretioluwa Olawuyi

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A systematic study on PM2.5 and PM10 concentration prediction in air pollution using machine learning and deep learning model by Pranshu Patel, Swara Patel, Kanish Shah, Kedar Desai, Samrat Patel, Manan Shah, Samir Patel

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Innovation ARIMA models application to predict pressure variations in water supply networks with open-loop control. Case study in Noja (Cantabria, Spain) by David Muñoz-Rodríguez, Manuel J. González-Ortega, María-Jesús Aguilera-Ureña, Andrés Ortega-Ballesteros, Alberto-Jesus Perea-Moreno

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Comprehensive objective function- guided decomposition-prediction co-optimization framework: Enhanced Transformer model for high-accuracy forecasting of non-stationary runoff by Xiaoqi Guo, Xuehua Zhao, Xueping Zhu, Bowen Zhu, Qiucen Guo, Xixi Wu, Huifang Wang, Jiatong An

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Tool for acute kidney injury prediction in hospitalised patients with COVID-19 by O.Ya. Antonyuk

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Artificial Intelligence-Based Transmission Frequency Prediction in Cable Systems Using Electromagnetic Field Data by Abbas Seif, Hamid Radmanesh, Amir Ahmarinejad, Ahmad Ali Ashrafian

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Impact-induced energy release of typical HCP metal/PTFE/W reactive materials: Experimental study and predictive modeling via machine learning by Zhenwei Zhang, Weixi Tian, Tianyi Wang, Zhiyuan Liu, Yansong Yang, Chao Ge, Lei Guo, Yuan He, Chuanting Wang, Yong He

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Machine learning's model-agnostic interpretability on the prediction of students' academic performance in video-conference-assisted online learning during the covid-19 pandemic by Eka Miranda, Mediana Aryuni, Mia Ika Rahmawati, Siti Elda Hiererra, Albert Verasius Dian Sano

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Predicting aflatoxin contamination in white and yellow maize using Vis/NIR spectroscopy combined with PCA-LDA and PLSR models through aquaphotomics approaches by William Appaw, John-Lewis Zinia Zaukuu, Balkis Aouadi, Eric Tetteh Mensah, Ibok Nsa Oduro, Zoltan Kovacs

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Compressive strength prediction of fly ash/slag-based geopolymer concrete using EBA-optimised chemistry-informed interpretable deep learning model by Yang Yu, Iman Munadhil Abbas Al-Damad, Stephen Foster, Ali Akbar Nezhad, Ailar Hajimohammadi

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River total dissolved gas prediction using a hybrid greedy-stepwise feature selection and bidirectional long short-term memory model by Khabat Khosravi, Salim Heddam, Changhyun Jun, Sayed M. Bateni, Dongkyun Kim, Essam Heggy

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Machine learning models for predicting residual malaria infections using environmental factors: A case study of the Jazan region, Kingdom of Saudi Arabia by Idris Zubairu Sadiq, Yakubu Saddeeq Abubakar, Abdulkadir Rabiu Salisu, Babangida Sanusi Katsayal, Umar Saidu, Sani I. Abba, Abdullahi Garba Usman

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Advancing wastewater reuse: AI-driven insights into ozone-based organic pollutant reduction by Syed Muzzamil Hussain Shah, Sani I. Abba, Mohamed A. Yassin, Ebrahim Al-Qadami, Dahiru U. Lawal, Imtiaz Afzal Khan, Jamilu Usman, Haris U. Qureshi, Isam H. Aljundi

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Prediction of sugar beet yield and quality parameters using Stacked-LSTM model with pre-harvest UAV time series data and meteorological factors by Qing Wang, Ke Shao, Zhibo Cai, Yingpu Che, Haochong Chen, Shunfu Xiao, Ruili Wang, Yaling Liu, Baoguo Li, Yuntao Ma

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Temperature and Precipitation Assessment and Extreme Climate Events Prediction based on the Coupled Model Intercomparison Project Phase 6 over the Qinghai-Xizang Plateau by Bo FENG, Xianhong MENG, Xianyu YANG, Mingshan DENG, Lin ZHAO, Zhaoguo LI, Lunyu SHANG

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