TY  - GEN
N2  - This book constitutes the refereed post-conference proceedings of the Third International Conference on Edge Computing and IoT, ICECI 2022, held in December 13-14, 2022 in Changsha, 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 22 full papers of ICECI 2022 were selected from 76 submissions and present results and ideas in the area of edge computing and IoT.
DO  - 10.1007/978-3-031-28990-3
DO  - doi
AB  - This book constitutes the refereed post-conference proceedings of the Third International Conference on Edge Computing and IoT, ICECI 2022, held in December 13-14, 2022 in Changsha, 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 22 full papers of ICECI 2022 were selected from 76 submissions and present results and ideas in the area of edge computing and IoT.
T1  - Edge computing and IoT :systems, management and security : third EAI International Conference, ICECI 2022, virtual event, December 13-14, 2022, Proceedings /
AU  - Xiao, Zhu,
AU  - Zhao, Ping,
AU  - Dai, Xingxia,
AU  - Shu, Jinmei,
VL  - 478
CN  - QA76.583
N1  - Includes author index.
ID  - 1462006
KW  - Edge computing
KW  - Internet of things
KW  - Machine learning
SN  - 9783031289903
SN  - 3031289900
TI  - Edge computing and IoT :systems, management and security : third EAI International Conference, ICECI 2022, virtual event, December 13-14, 2022, Proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-28990-3
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-28990-3
ER  -