A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine

J Shen, S Ghatti, NR Levkov, H Shen, T Sen… - Frontiers in Artificial …, 2022 - frontiersin.org
Since 2019, the COVID-19 pandemic has had an extremely high impact on all facets of the
society and will potentially have an everlasting impact for years to come. In response to this …

Network-side digital contact tracing on a large university campus

ML Malloy, L Hartung, S Wangen… - Proceedings of the 28th …, 2022 - dl.acm.org
We describe a study conducted at a large public university campus in the United States
which shows the efficacy of network log information for digital contact tracing and prediction …

Prototyping opportunistic learning in resource constrained mobile devices

H Yu, HY Chen, S Lee, X Zheng… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
With the increasing capabilities of pervasive computing devices, training machine learning
models on-device has become feasible. At the same time, demands for increased user …

Analysis of digital contact tracing technologies employed during COVID-19 Pandemic

F Kainyu, M Mwadulo - African Journal of Science, Technology and …, 2022 - 41.89.229.52
Abstract Corona virus (COVID-19) is a worldwide pandemic that was first reported in Wuhan,
China 2019. The virus claimed lives and negatively changed the mobility patterns of …