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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024)./ edited by Fuchun Sun ... [et al.].
其他題名:	MLCCIM2024
其他作者:	Sun, Fuchun.
團體作者:	International Conference on Machine Learning, Cloud Computing and Intelligent Mining
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xii, 178 p. :ill. (chiefly color), digital ;24 cm.
內容註:	PTS-NET: A Parallel Dual-stage Network for Raw Low-light Image Enhancement and Denoising. -- A Sample-Quality-Based Imitation Approach For Offline Reinforcement Learning. -- Improving the Lightweight Pose Detection Model based on YOLOpose. -- Collaborative tasks and resource allocation of multi-UAV for multi-target attacks. -- Quality of AI Service Assurance in 6G Native Artificial Intelligence Networks.
Contained By:	Springer Nature eBook
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-96-1698-5
ISBN:	9789819616985

Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024).. Volume 3
Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024).Volume 3[electronic resource] /MLCCIM2024edited by Fuchun Sun ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xii, 178 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in electrical engineering,13281876-1119 ;. - Lecture notes in electrical engineering ;1328..

PTS-NET: A Parallel Dual-stage Network for Raw Low-light Image Enhancement and Denoising. -- A Sample-Quality-Based Imitation Approach For Offline Reinforcement Learning. -- Improving the Lightweight Pose Detection Model based on YOLOpose. -- Collaborative tasks and resource allocation of multi-UAV for multi-target attacks. -- Quality of AI Service Assurance in 6G Native Artificial Intelligence Networks.

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: 9789819616985

Standard No.: 10.1007/978-981-96-1698-5doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .I578 2024

Dewey Class. No.: 006.31

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