Proceedings of the 4th International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2025)
Springer Verlag, Singapore
978-981-95-4896-5 (ISBN)
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It explores optimizing reinforcement learning for robotic control in industrial automation, using cloud computing for intelligent networked robot systems, and applying machine learning to telerobotics control.MLCCIM2025 Conference provides a forum for bringing together the various groups working in the area of machine learning algorithms for robotic control, cloud computing - enabled intelligent systems, and data mining techniques in mining operations to exchange views and report research findings.
Huaming Wu (Senior Member, IEEE) received the BE and MS degrees from the Harbin Institute of Technology, China, in 2009 and 2011, respectively, both in electrical engineering, and the PhD degree with the highest honor in computer science from Freie Universität Berlin, Germany, in 2015. He is currently a professor with the Center for Applied Mathematics, Tianjin University, China. His research interests include mobile cloud computing, edge computing, Internet of Things, deep learning, complex networks, and DNA storage. Guohui Tian (Member, IEEE) was born in Hejian, China, in 1969. He received the B.S. degree from Shandong University, Jinan, China, in 1990, the M.S. degree from the Shandong University of Technology, Zibo, China, in 1993, and the Ph.D. degree from the School of Automation, Northeastern University, Shenyang, China, in 1997. From 1999 to 2001, he was a Post-Doctoral Researcher with the School of Mechanical Engineering, Shandong University. From 2003 to 2005, he was a Visiting Professor with the Graduate School of Engineering, The University of Tokyo, Tokyo, Japan. He was a Lecturer from 1997 to 1998 and an Associate Professor from 1998 to 2002 with Shandong University, where he is currently a Professor with the School of Control Science and Engineering. His current research interests include service robot, intelligent space, cloud robotics, and brain-inspired intelligent robotics. He is a member of the IEEE Robotics and Automation Society. He is also the Vice-Director of the Intelligence Robot Specialized Committee of Chinese Association for Artificial Intelligence and the Intelligent Manufacturing System Specialized Committee of Chinese Association for Automation. Hongqi Yu received the B.S., M.S., and Ph.D. degrees from the National University of Defense Technology (NUDT), Changsha, China, in 2000, 2003, and 2007, respectively.,He is an Associate Professor at NUDT. He was an Academic Visitor at Center for Biophotonics, University of Strathclyde, Glasgow, U.K., from June 2014 to July 2015. His research interests focus around signal processing, SPAD based FLIM system and embedded system.
| Erscheinungsdatum | 29.11.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Electrical Engineering |
| Zusatzinfo | 385 Illustrations, color; 58 Illustrations, black and white |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik ► Elektrotechnik / Energietechnik | |
| Schlagworte | Adaptive Control Systems • Control Applications • Distributed Control Systems • Intelligent Autonomous Systems • machine learning • Mobile Robots |
| ISBN-10 | 981-95-4896-9 / 9819548969 |
| ISBN-13 | 978-981-95-4896-5 / 9789819548965 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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