Cargando…
A game theory-based COVID-19 close contact detecting method with edge computing collaboration
People all throughout the world have suffered from the COVID-19 pandemic. People can be infected after brief contact, so how to assess the risk of infection for everyone effectively is a tricky challenge. In view of this challenge, the combination of wireless networks with edge computing provides ne...
Autores principales: | Shen, Yue, Liu, Bowen, Xia, Xiaoyu, Qi, Lianyong, Xu, Xiaolong, Dou, Wanchun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10198137/ https://www.ncbi.nlm.nih.gov/pubmed/37234362 http://dx.doi.org/10.1016/j.comcom.2023.04.029 |
Ejemplares similares
-
Locally private frequency estimation of physical symptoms for infectious disease analysis in Internet of Medical Things
por: Wu, Xiaotong, et al.
Publicado: (2020) -
An Exception Handling Approach for Privacy-Preserving Service Recommendation Failure in a Cloud Environment
por: Qi, Lianyong, et al.
Publicado: (2018) -
COVID-19 Close Contact Management: An Evolution of Operations Harnessing the Digital Edge
por: Seah, Benjamin ZQ, et al.
Publicado: (2023) -
Game invaders: the theory and understanding of computer games
por: Fencott, P C
Publicado: (2012) -
Recent Advances in Collaborative Scheduling of Computing Tasks in an Edge Computing Paradigm
por: Chen, Shichao, et al.
Publicado: (2021)