AI-driven early detection of severe influenza in Jiangsu, China: a deep learning model validated through the design of multi-center clinical trials and prospective real-world deplo... by Yifei Chen, Yan Bo

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An Adaptive Compound Control Strategy of Electric Vehicles for Coordinating Lateral Stability and Energy Efficiency by Xia Hua, Kai Xiang, Xiangle Cheng, Xiaobin Ning

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Development of a novel deep learning method that transforms tabular input variables into images for the prediction of SLD by Gabriel Cubillos, Javier Perez-Valenzuela, Herman Aguirre, Luz Martínez, Lorena Castro, Gabriel Mezzano, Claudio A. Perez

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Evidence Based Gait Analysis Interpretation Tools (EB-GAIT) treatment recommendation and outcome prediction models to support decision-making based on clinical gait analysis data. by Michael H Schwartz, Andrew G Georgiadis

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An Adaptive Multi-Fidelity Surrogate Model for Uncertainty Propagation Analysis by Wei Xiao, Yingying Shen, Jiao Zhao, Luogeng Lv, Jiangtao Chen, Wei Zhao

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Historical Land Cover Dynamics and Projected Changes in the High Andean Zone of the Locumba Basin: A Predictive Approach Using Remote Sensing and Artificial Neural Network—Cellular... by German Huayna, Victor Pocco, Edwin Pino-Vargas, Pablo Franco-León, Jorge Espinoza-Molina, Fredy Cabrera-Olivera, Bertha Vera-Barrios, Karina Acosta-Caipa, Lía Ramos-Fernández, Eusebio Ingol-Blanco

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Modeling Fenton Treatment for Landfill Leachate with the Focus on Initial COD and Sludge Generation by Nader BiglariJoo, Amin Shams, Vahid Hadipour

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Machine Learning Performance Analysis for Bagging System Improvement: Key Factors, Model Optimization, and Loss Reduction in the Fertilizer Industry by Ari Primantara, Udisubakti Ciptomulyono, Berlian Al Kindhi

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A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction by Md. Alamin Talukder, Majdi Khalid, Nasrin Sultana

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Nature-based Solutions as Building Blocks for coastal flood risk reduction: a model-based ecosystem service assessment by Massimiliano Marino, Martin J. Baptist, Ahmad I. K. Alkharoubi, Sofia Nasca, Luca Cavallaro, Enrico Foti, Rosaria Ester Musumeci

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Adaptable Reduced-Complexity Approach Based on State Vector Machine for Identification of Criminal Activists on Social Media by Imran Shafi, Sadia Din, Zahid Hussain, Imran Ashraf, Gyu Sang Choi

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Global, regional, and national burdens of PUD in women of reproductive age from 1992 to 2021: a trend analysis based on the global burden of disease study 2021 by Xiaofeng Wang, Xiaofeng Wang, Song Yang, Shanzhi Zhao, Zhitao Yang, Enqiang Mao, Erzhen Chen, Erzhen Chen, Ying Chen, Ying Chen

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Damage Prediction in the Wire Drawing Process by Álvaro González, Marcela Cruchaga, Diego Celentano, Jean-Philippe Ponthot

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Predictive Energy Management Strategy for Heavy-Duty Series Hybrid Electric Vehicles Based on Drive Power Prediction by Yuan Cao, Changshui Liang, Shi Cheng, Xinxian Yin, Daxin Chen, Zhixi Liu, Chaoyang Sun, Tao Chen

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Intelligent Modelling Techniques for Enhanced Thermal Comfort and Energy Optimisation in Residential Buildings by Shamaila Iram, Hafiz Muhammad Athar Farid, Abduljelil Adeola Akande, Hafiz Muhammad Shakeel

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Zero-Vector-Free MPC with Virtual Vector Synthesis for CMV Suppression in Electric Propulsion Systems by Sung-woo Song, Chan Roh

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Machine Learning-Based Predictive Maintenance for Photovoltaic Systems by Ali Al-Humairi, Enmar Khalis, Zuhair A. Al-Hemyari, Peter Jung

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The global burden of chronic kidney disease attributable to high sodium intake: a comprehensive analysis of trends from 1990 to 2021 and burden prediction to 2040 by Yawen Lu, Lei Wang, Lei Wang, Jianfeng Ma, Yang Hu, Rumeng Zheng, Liping Liu, Kaili Lin, Kun Zhang, Yongfeng Wang, Yongfeng Wang, Yongfeng Wang, Yongfeng Wang, Yongfeng Wang, Sheng Li, Sheng Li, Hengping Li

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MPC-VSG Based Control Strategy for Dynamic Stability of Frequency and Voltage in Islanded Microgrid by Jiahang SUN, Xiaohua WANG, Jingguang HUANG, Hao CAO, Nuonan MEI, Zhedong LI

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Application of AI-based Predictive Maintenance for Industrial Processes by Marko Fabić

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