A Hybrid Single-Phase Transformerless Solar Photovoltaic Grid-Connected Inverter With Reactive Power Capability and Reduced Leakage Current by Md Faruk Kibria, Saad Mekhilef, Marizan Mubin, Kok Soon Tey, Ahmed Elsanabary, Mehdi Seyedmahmoudian, Houssem Jerbi

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Pareto Front Analysis of a Multiobjective MPC-Based EMS for a Series Hybrid Electric Tractor by Gonzalo Curiel-Olivares, Gerardo Escobar, Yasmin A. Rios-Solis, Scott C. Johnson, Ricardo Schacht-Rodriguez

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OSV-MPC for Harmonic and Zero-Sequence Compensation in Four-Wire Off-Grid Microgeneration Systems Based on SEIG by Carlos A. Souza, Gabriel Maier Cocco, Robinson F. de Camargo, Fábio E. Bisogno, Martin Wolter

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A Web-Based Interface That Leverages Machine Learning to Assess an Individual’s Vulnerability to Brain Stroke by Divyansh Bhandari, Arnav Agarwal, R. Reena Roy, Rajaram Priyatharshini, Rodriguez Rivero Cristian

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Cutting-edge AI tools revolutionizing scientific research in life sciences by Katarzyna Lorenc-Kukula

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Reliability Methods in Maintenance and Failure Analysis of Marine Systems by Damir BUDIMIR, Ivan GRGUREVIĆ, Jasna LEDER HORINA

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Real-time Power Flow Control Strategy for Electric Railway FTSSs Integrated with PVs and ESSs by Yinbo Ge, Haitao Hu, Junyu Chen, Ke Wang, Zhengyou He

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Environmental Factors Influencing Species Richness Expression in Grasslands of the Colombian Orinoquia by Vladimir Minorta-Cely, Larry Niño, Orlando Rangel, Daniel Sánchez-Mata

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Application of Bayesian Neural Networks in Healthcare: Three Case Studies by Lebede Ngartera, Mahamat Ali Issaka, Saralees Nadarajah

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Integrating Machine Learning Techniques for Enhanced Safety and Crime Analysis in Maryland by Zeinab Bandpey, Soroush Piri, Mehdi Shokouhian

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PSO-NMPC control strategy based path tracking control of mining LHD (scraper) by Ya Liu, Ping-an Peng, Li-guan Wang, Jia-xi Wu, Ming-yu Lei, Chao-wei Zhang, Ru Lei

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Two-Stage Energy Economic Optimal Dispatch of Virtual Power Plant in Deregulated Electricity Market by Lihang ZHAO, Weiguang CHANG, Min YANG, Qiang YANG, Ganghua QIN

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Ultra Short-Term Charging Load Forecasting Based on Improved Data Decomposition and Hybrid Neural Network by Shaoyang Yin, Zhaohui Chen, Wanyuan Liu, Zhiwen Su

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Predicting Earthquake Casualties and Emergency Supplies Needs Based on PCA-BO-SVM by Fuyu Wang, Huiying Xu, Huifen Ye, Yan Li, Yibo Wang

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Chemical Composition and Biological Activities of <i>Pelargonium</i> sp.: A Review with In Silico Insights into Potential Anti-Inflammatory Mechanism by Diana Celi, Karina Jimenes-Vargas, António Machado, José Miguel Álvarez-Suárez, Eduardo Tejera

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Predicting the Activity Level of the Great Gerbil (Rhombomys opimus) via Machine Learning by Fan Jiang, Peng Peng, Zhenting Xu, Yu Xu, Ding Yang, Shouquan Chai, Shuai Yuan, Limin Hua, Dawei Wang, Xuanye Wen

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Variable-Speed Hydropower Control and Ancillary Services: A Remedy for Enhancing Grid Stability and Flexibility by Cagatay Cebeci, Max Parker, Luis Recalde-Camacho, David Campos-Gaona, Olimpo Anaya-Lara

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Structural equilibrium in universities: quality, finance and sustainability from an empirical perspective: An integrative analysis with neutrosophic cognitive maps by Claudio Ruff, Claudio Ruff, Juliana Vassileva, Bastián Gutiérrez

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Inflammatory indices AISI and SIRI in atherosclerosis risk stratification: validation across community and intensive care populations by Jing Tang, Ting-xin Li, Ling Deng, Xin-cheng Huang, Pei-yuan He, Han Zhao

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Towards a prescribing monitoring system for medication safety evaluation within electronic health records: a scoping review by Camilo Scherkl, Theresa Dierkes, Michael Metzner, David Czock, Hanna M. Seidling, Walter E. Haefeli, Andreas D. Meid

“…Methods We have conducted a scoping review (OSF registration: https://doi.org/10.17605/OSF.IO/P93TZ ) on prediction models for ADR to collect potential use cases for Prescribing Monitoring. …”
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