TY  - GEN
N2  - This book constitutes the refereed post-conference proceedings of the 2nd International Conference on Edge Computing and IoT, ICECI 2021, held in December 2021 in Shenzhen, China. Due to COVID-19 pandemic the conference was held virtually. The explosion of the big data generated by ubiquitous edge devices motivates the emergence of applying machine learning systems for edge computing and Internet of Things (IoT) services. Machine learning techniques are delivering a promising solution to the industry for building IoT systems and to make innovation at a rapid pace. The 12 full papers of ICECI 2021 were selected from 26 submissions and present results and ideas in the area of edge computing and IoT.
DO  - 10.1007/978-3-031-04231-7
DO  - doi
AB  - This book constitutes the refereed post-conference proceedings of the 2nd International Conference on Edge Computing and IoT, ICECI 2021, held in December 2021 in Shenzhen, China. Due to COVID-19 pandemic the conference was held virtually. The explosion of the big data generated by ubiquitous edge devices motivates the emergence of applying machine learning systems for edge computing and Internet of Things (IoT) services. Machine learning techniques are delivering a promising solution to the industry for building IoT systems and to make innovation at a rapid pace. The 12 full papers of ICECI 2021 were selected from 26 submissions and present results and ideas in the area of edge computing and IoT.
T1  - Edge computing and IoT :systems, management and security : Second EAI International Conference, ICECI 2021, virtual event, December 22-23, 2021, proceedings /
AU  - Wu, Kaishun,
AU  - Wang, Lu
AU  - Chen, Yanjiao,
VL  - 437
CN  - QA76.583
N1  - Includes author index.
ID  - 1446710
KW  - Edge computing
KW  - Internet of things
KW  - Machine learning
SN  - 9783031042317
SN  - 303104231X
TI  - Edge computing and IoT :systems, management and security : Second EAI International Conference, ICECI 2021, virtual event, December 22-23, 2021, proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-04231-7
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-04231-7
ER  -