TY  - GEN
N2  - This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. 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.
DO  - 10.1007/978-981-16-7466-2
DO  - doi
AB  - This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. 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.
T1  - 2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City.
AU  - Atiquzzaman, Mohammed,
AU  - Yen, Neil Y.,
AU  - Xu, Zheng
VL  - volume 102
CN  - QA76.9.B45
N1  - International conference proceedings.
ID  - 1443161
KW  - Big data
KW  - Cooperating objects (Computer systems)
KW  - Données volumineuses
KW  - Objets coopérants (Systèmes informatiques)
SN  - 9789811674662
SN  - 9811674663
TI  - 2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-7466-2
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-7466-2
ER  -