1 option
Big Data Analytics for Cyber-Physical System in Smart City : BDCPS 2020, 28-29 December 2020, Shanghai, China / edited by Mohammed Atiquzzaman, Neil Yen, Zheng Xu.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Advances in intelligent systems and computing 2194-5365 ; 1303
- Advances in Intelligent Systems and Computing, 2194-5365 ; 1303
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Big data.
- Business information services.
- Computational Intelligence.
- Big Data.
- IT in Business.
- Local Subjects:
- Computational Intelligence.
- Big Data.
- IT in Business.
- Physical Description:
- 1 online resource (XLII, 1830 pages) : 520 illustrations, 268 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- This book gathers a selection of peer-reviewed papers presented at the second Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020) conference, held in Shanghai, China, on 28-29 December 2020. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-33-4572-0
- 9789813345720
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.