LEADER 03464nam 22007215 450 001 9910983046903321 005 20250206115231.0 010 $a9789819616985 010 $a9819616980 024 7 $a10.1007/978-981-96-1698-5 035 $a(MiAaPQ)EBC31897907 035 $a(Au-PeEL)EBL31897907 035 $a(CKB)37465306100041 035 $a(DE-He213)978-981-96-1698-5 035 $a(OCoLC)1500772042 035 $a(EXLCZ)9937465306100041 100 $a20250206d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024) $eVolume 3 /$fedited by Fuchun Sun, Hesheng Wang, Han Long, Yifei Wei, Hongqi Yu 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (259 pages) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1328 311 08$a9789819616978 311 08$a9819616972 327 $a -- 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. 330 $aThe proceedings offer a meticulously curated compilation of peer-reviewed papers presented at the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024). With a profound focus on these domains, this volume serves as an invaluable resource for researchers, experts, professionals, and practitioners engaged in machine learning, control systems, robot, cloud computing and intelligent mining techniques. The conference facilitated a vibrant exchange of knowledge, enabling participants to unveil their pioneering research findings, showcase the outcomes of their latest projects, and engage in thought-provoking discussions to share perspectives and experiences. 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1328 606 $aAutomatic control 606 $aRobotics 606 $aAutomation 606 $aMachine learning 606 $aCloud computing 606 $aControl, Robotics, Automation 606 $aControl and Systems Theory 606 $aMachine Learning 606 $aCloud Computing 615 0$aAutomatic control. 615 0$aRobotics. 615 0$aAutomation. 615 0$aMachine learning. 615 0$aCloud computing. 615 14$aControl, Robotics, Automation. 615 24$aControl and Systems Theory. 615 24$aMachine Learning. 615 24$aCloud Computing. 676 $a629.8 700 $aSun$b Fuchun$01337529 701 $aWang$b Hesheng$01705193 701 $aLong$b Han$01784416 701 $aWei$b Yifei$01784417 701 $aYu$b Hongqi$01784418 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983046903321 996 $aProceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024)$94316036 997 $aUNINA