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

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.

.- 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.

Fuchun Sun received the BS and MS degrees from Naval Aeronautical Engineering Academy, Yantai, China, in 1986 and 1989, respectively, and the PhD degree from Tsinghua University, Beijing, China, in 1998. From 1998 to 2000, he was a postdoctoral researcher with Department of Automation, Tsinghua University, where he is currently a professor with Department of Computer Science and Technology. His current research interests include intelligent control, neural networks, fuzzy systems, variable structure control, nonlinear systems, and robotics. He is a fellow of IEEE.

Hesheng Wang received the B.lóm