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Overview
- Covers the latest research and emerging technologies in CPS
- Addresses both theoretical and practical aspects of Data Processing Techniques and Applications for Cyber-Physical Systems
- Highlights current challenges in CPS, as well as research gaps and opportunities
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1088)
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Keywords
Table of contents (243 papers)
Editors and Affiliations
About the editors
Yu-Wei Chan received the B.S. and M.S. degrees in Information Engineering from Tamkang University, Taiwan, in 1997 and 2001, respectively. He received the Ph.D. degree in Computer Science from National Tsing Hua University in 2013. He joined the Department of Information Management at Chung Chou University of Science and Technology as a lecturer in 2002. In 2016, he joined the Department of Computer Science and Information Management at ProvidenceUniversity as a professor. His current research interests include cognitive radio in 5G, game theoretic wireless networking, cloud computing.
Neil Y. Yen received Ph.D. degrees at Department of Human Informatics and Cognitive Sciences, Waseda University, Japan and Department of Computer Science and Information Engineering, Tamkang University, Taiwan in year of 2012 respectively. He is currently an associate professor at School of Computer Science and Engineering, University of Aizu, Japan. His current interests include Human-centric Computing (i.e., user modeling and understanding, social web, collaborative economy), Big Data (i.e., data/web mining, deep learning, statistical analysis), and Anticipatory Computing (i.e., prediction, recommendation, and well-being services).
Bibliographic Information
Book Title: Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019)
Editors: Chuanchao Huang, Yu-Wei Chan, Neil Yen
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-981-15-1468-5
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Softcover ISBN: 978-981-15-1467-8Published: 04 February 2020
eBook ISBN: 978-981-15-1468-5Published: 03 February 2020
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XXIV, 2059
Number of Illustrations: 139 b/w illustrations, 328 illustrations in colour
Topics: Computational Intelligence, Cyber-physical systems, IoT, Data Engineering