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Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024).Volume 2

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024).edited by Fuchun Sun ... [et al.].
remainder title:	MLCCIM 2024
other author:	Sun, Fuchun.
corporate name:
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xiii, 338 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-981-96-1694-7
ISBN:	9789819616947$q(electronic bk.)

Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024).Volume 2
Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024).Volume 2[electronic resource] /MLCCIM 2024edited by Fuchun Sun ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xiii, 338 p. :ill. (some col.), digital ;24 cm. - Lecture notes in electrical engineering,13271876-1119 ;. - Lecture notes in electrical engineering ;v.132..

1 PTS-NET: A Parallel Dual-stage Network for Raw Low-light Image Enhancement and Denoising. -- 2 A Sample-Quality-Based Imitation Approach For Offline Reinforcement Learning. -- 3 Improving the Lightweight Pose Detection Model based on YOLOpose. -- 4 Collaborative tasks and resource allocation of multi-UAV for multi-target attacks. -- 5 Quality of AI Service Assurance in 6G Native Artificial Intelligence Networks. -- 6 Matching screening method based on panoramic disparity.

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: 9789819616947$q(electronic bk.)

Standard No.: 10.1007/978-981-96-1694-7doiSubjects--Topical Terms:

384498
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 2
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