Rapid prediction of poly(butylene adipate-co-terephthalate)/poly(glycolic acid) (PBAT/PGA) agricultural films based on UV-accelerated aging tests with applicability to the environm... by Zihan Jia, Minglong Li, Bo Wang, Dongsheng Li, Peng Guo, Mingfu Lyu, Zhiyong Wei, Lin Sang

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A novel method for evaluation of the maintenance impact in the health of industrial components by F. Javier Bellido-Lopez, Miguel A. Sanz-Bobi, Antonio Muñoz, Daniel Gonzalez-Calvo, Tomas Alvarez-Tejedor

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Sensitivity Analysis of the WRF Model to Simulate Precipitation in the Metropolitan Area of the Valley of Mexico for the Period June-September 2019 by Indalecio Mendoza Uribe, Víctor Kevin Contreras Tereza, Pamela Iskra Mejía Estrada, Olivia Rodríguez López

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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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Medium- Long-Term Runoff Forecasting Using Interpretable Hybrid Machine Learning Model for Data-Scarce Regions by YOU Yu-jun, BAI Yun-gang, LU Zhen-lin, ZHANG Jiang-hui, CAO Biao, LI Wen-zhong, YU Qi-ying

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The nomograph predicting the recurrence of Solid Pseudopapillary Neoplasm of the Pancreas: a study of the SEER database and a Chinese cohort by Qidong Pei, Junzong Chen, Gang Deng, Dong Li, Yajun Tang, Jiaming Lai, Di Tang

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Estimating the plausible projections of land use/land cover dynamics in Jhelum and Chenab River basins using satellite imageries and machine learning models in Google Earth Engine by Syeda Maria Zafar, Junaid Aziz Khan, Ammara Mobeen, Wan Shafrina Wan Mohd Jaafar, Ricky Anak Kemarau

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Investigation and Trend Prediction of Disease Burden of Hypertensionin the Elderly Population Globally and in China from 1990 to 2021 by ZHAO Xiaoxiao, LU Xiaohui, KE Lixin, GAO Wulin, MENG Xiangran, REN Lili, DING Yunhan, ZHANG Qiang, XUN Yangqin, WU Jibiao, LU Cuncun

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Pre-procedural abnormal von Willebrand factor function predicts clinical outcomes after Transcatheter Aortic Valve Implantation: a prospective cohort study by Haitham Abu Khadija, Mohammad Alnees, Mohammad Alnees, Omar Ayyad, Gera Gandelman, Nizar Abu Hamdeh, Amir Haim, Yazan Hamdan, Ramon Cohen, Duha Najajra, Alena Kirzhner, Tal Schiller, Jacob George, Alex Blatt

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An EWS-LSTM-Based Deep Learning Early Warning System for Industrial Machine Fault Prediction by Fabio Cassano, Anna Maria Crespino, Mariangela Lazoi, Giorgia Specchia, Alessandra Spennato

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Predicting the Evolution of Capacity Degradation Histograms of Rechargeable Batteries Under Dynamic Loads via Latent Gaussian Processes by Daocan Wang, Xinggang Li, Jiahuan Lu

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Tensions et convergences dans la conception de nouveaux outils d’intelligence artificielle pour l’oncologie : le cas de la radiomique by Giulia Anichini, Léo Mignot

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THE POTENTIAL OF HYBRID LSTM-GENERATIVE AI ECO-MODEL IN FORECASTING FINANCIAL AND ECONOMIC INDICATORS by Andrii Ivashchenk, Tetiana Ivashchenko

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Analysis of the Wangping Brownfield Using a Two-Step Urban Brownfield Redevelopment Model by Zhiping Liu, Yingxue Feng, Jing Li, Haoyu Tao, Zhen Liu, Xiaodan Li, Yue Hu

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Wind Turbine Fault Detection Through Autoencoder-Based Neural Network and FMSA by Welker Facchini Nogueira, Arthur Henrique de Andrade Melani, Gilberto Francisco Martha de Souza

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Factors influencing docked bike-sharing usage in the City of Kigali, Rwanda by Jean Marie Vianney Ntamwiza, Hannibal Bwire

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Prediction of drought-flood prone zones in inland mountainous regions under climate change with assessment and enhancement strategies for disaster resilience in high-standard farml... by Yongheng Shen, Qingxia Guo, Zhenghao Liu, Yanli Shen, Yikun Jia, Yuehan Wei

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“Data-based management”: prospects for implementation into the system of vocational education by V. I. Blinov, I. S. Sergeev, E. Yu. Esenina, N. S. Garkusha, N. F. Rodichev

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Machine learning-based disease risk stratification and prediction of metabolic dysfunction-associated fatty liver disease using vibration-controlled transient elastography: Result... by Liqiong Huang, Yu Luo, Li Zhang, Mengqi Wu, Lirong Hu

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Neuroimaging and machine learning in eating disorders: a systematic review by Francesco Monaco, Annarita Vignapiano, Benedetta Di Gruttola, Stefania Landi, Ernesta Panarello, Raffaele Malvone, Stefania Palermo, Alessandra Marenna, Enrico Collantoni, Giovanna Celia, Valeria Di Stefano, Paolo Meneguzzo, Martina D’Angelo, Giulio Corrivetti, Luca Steardo

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