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[null,"1.","Record Nr.",null,"UNINA9910983316703321"]
[null,null,"Autore",null,"Sun Fuchun"]
[null,null,"Titolo",null,"Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024) : Volume 2 / / edited by Fuchun Sun, Hesheng Wang, Han Long, Yifei Wei, Hongqi Yu"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"9789819616947"]
[{"$nulls":4},"9819616948"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (491 pages)"]
[null,null,"Collana",null,"Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 1327"]
[null,null,"Disciplina",null,"006.31"]
[null,null,"Soggetti",null,"Automatic control"]
[{"$nulls":4},"Robotics"]
[{"$nulls":4},"Automation"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Cloud computing"]
[{"$nulls":4},"Control, Robotics, Automation"]
[{"$nulls":4},"Control and Systems Theory"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Cloud Computing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- 1 PTS-NET: A Parallel Dual-stage Network for Raw Low-light Image Enhancement and Denoising.  -- 2 A Sample-Quality-Based Imitation Approach For Offline Reinforcement Learning.  -- 3 Improving the Lightweight Pose Detection Model based on YOLOpose.  -- 4 Collaborative tasks and resource allocation of multi-UAV for multi-target attacks.  -- 5 Quality of AI Service Assurance in 6G Native Artificial Intelligence Networks.  -- 6 Matching screening method based on panoramic disparity."]
[null,null,null,"Sommario/riassunto","The proceedings offer a meticulously curated compilation of peer-reviewed papers presented at the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024). With a profound focus on these domains, this volume serves as an invaluable resource for researchers, experts, professionals, and practitioners engaged in machine learning, control systems, robot, cloud computing and intelligent mining techniques. The conference "]
[{"$nulls":4},"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."]