The two-volume set LNICST 641 and 642 constitutes the proceedings of the 5th International Conference on Internet of Things, Artificial Intelligence and Mechanical Automation, IoTAIMA 2024, held in Hangzhou, China, during July 19–21, 2024.
The 38 full papers and 17 short papers included in this book were carefully reviewed and selected from 126 submissions. They focus on rapid development of technology, the IoT, AI and mechanical automation. They were organized in topical sections as follows:
Part I: Internet of Things Model Construction and Strategy Analysis; Intelligent Sensing and Fault Detection Technology
Part II: Intelligent Sensing and Fault Detection Technology; Robot Modeling and Automation Control
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Taschenbuch. Zustand: Neu. Internet of Things, Artificial Intelligence and Mechanical Automation | 5th EAI International Conference, IoTAIMA 2024, Hangzhou, China, July 19-21, 2024, Proceedings, Part I | Haiquan Zhao (u. a.) | Taschenbuch | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering | xv | Englisch | 2025 | Springer | EAN 9783032002174 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 134071556
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The two-volume set LNICST 641 and 642 constitutes the proceedings of the 5th International Conference on Internet of Things, Artificial Intelligence and Mechanical Automation, IoTAIMA 2024, held in Hangzhou, China, during July 19 21, 2024.The 38 full papers and 17 short papers included in this book were carefully reviewed and selected from 126 submissions. They focus on rapid development of technology, the IoT, AI and mechanical automation. They were organized in topical sections as follows:Part I: Internet of Things Model Construction and Strategy Analysis; Intelligent Sensing and Fault Detection TechnologyPart II: Intelligent Sensing and Fault Detection Technology; Robot Modeling and Automation Control. Artikel-Nr. 9783032002174
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