Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024)

Volume 2

Hongqi Yu (Hrsg.), Fuchun Sun (Hrsg.), Hesheng Wang (Hrsg.), Han Long (Hrsg.), Yifei Wei (Hrsg.)

PDF
ca. 267,49

Springer Nature Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik

Beschreibung

The proceedings offer a meticulously curated compilation of peer-reviewed papers presented at the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024). With a profound focus on these domains, this volume serves as an invaluable resource for researchers, experts, professionals, and practitioners engaged in machine learning, control systems, robot, cloud computing and intelligent mining techniques. The conference facilitated a vibrant exchange of knowledge, enabling participants to unveil their pioneering research findings, showcase the outcomes of their latest projects, and engage in thought-provoking discussions to share perspectives and experiences.

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Schlagwörter

Machine Learning and Control Systems, Mobile Robots and Intelligent Autonomous Systems, Big Data Mining in Artificial Intelligence, Learning and Adaptive Control Systems, Distributed Control Systems, Machine Learning in Control Applications