Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024)
Volume 1
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Beschreibung
This proceedings book offers 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 book 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 book facilitates 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.
This proceedings book offers 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 book 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 book facilitates 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.
Collects papers from the 3rd International Conference on Machine Learning, Cloud Computing, and Intelligent Mining Provides valuable resource for researchers and practitioners in machine learning, control systems, and robotics Presents cutting-edge researches on intelligent theories and technologies and addressing industry challenges
Autor*in
Fuchun Sun
Themen in »Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024)«
Machine Learning and Control Systems Machine Learning in Control Applications Distributed Control Systems Mobile Robots and Intelligent Autonomous Systems Learning and Adaptive Control Systems Big Data Mining in Artificial Intelligence