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.
| ISBN: | 9789819616978 |
| Publication date: | 6th February 2025 |
| Author: | Cloud Computing and Intelligent Mining International Conference on Machine Learning |
| Publisher: | Springer an imprint of Springer Nature Singapore |
| Format: | Hardback |
| Pagination: | 178 pages |
| Series: | Lecture Notes in Electrical Engineering |
| Genres: |
Automatic control engineering Machine learning Cloud computing |
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.
Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024). Volume 3 features in the following genres: Automatic control engineering, Machine learning, Cloud computing
Hardback. £179.99, down from the £199.99 cover price. Not Available.
Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024). Volume 3 was written by Cloud Computing and Intelligent Mining International Conference on Machine Learning and published by Springer an imprint of Springer Nature Singapore
Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024). Volume 3 has 178 pages
Yes it is part of Lecture Notes in Electrical Engineering series
£179.99, reduced from £199.99. Not Available.