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This volume, part of the Lecture Notes in Electrical Engineering series, presents the proceedings of the 2024 Chinese Intelligent Systems Conference. Edited by Yingmin Jia, Weicun Zhang, Yongling Fu, and Huihua Yang, it compiles recent research developments in the field of electrical and intelligent systems engineering. The book covers a wide range of topics including electrical systems, control systems, image processing, and machine learning applications in engineering. It serves as a resource for researchers, practitioners, and students in electrical engineering, offering insights into emerging technologies and innovative methodologies. The series aims to support professional training and education in electrical engineering, making it a valuable reference for academic and industry audiences alike.
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ICICIP 2024 aims to provide a high level international forum for scientists, engineers, and educators to present the state of the art of intelligent control and information processing research and applications in related fields The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics.
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This book highlights applications that include machine learning methods to enhance new developments in complex and unmanned systems. The main topics covered under this title include: machine learning, artificial intelligence, cryptography, submarines, drones, security in healthcare, Internet of Things and robotics.
Intelligent control systems. --- Machine learning --- Industrial applications.
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This concise and accessible guide equips readers with the knowledge and skills needed to implement digital control algorithms to design efficient and reliable power converters using STM32 microcontrollers.
Digital control systems. --- Microcontrollers. --- Electric current converters.
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