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个人简介
Ramin Rajabioun received the M.Sc. degree in dynamic portfolio modeling and decision-making utilizing game theory, with a focus on applying control engineering methodologies to analyze and optimize stock market dynamics from the University of Tehran, Tehran, Iran, in 2005. He is currently working toward the Ph.D. degree in deep learning-based bearing fault detection and classification using diversified inputs with the Electric and Electronic Engineering Faculty, Van Yuzuncu Yil University, Van, Turkey.
His research interests include evolutionary computation, optimization algorithms, image processing, system identification, computer vision, and deep learning neural networks.
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IEEE journal of emerging and selected topics in industrial electronicsno. 1 (2024): 115-125
2023 IEEE Energy Conversion Congress and Exposition (ECCE)pp.4043-4048, (2023)
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IEEE Transactions on Energy Conversionno. 99 (2023): 1-11
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