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AuthorAhmed, Mustafa
AuthorHoukan, Mohammed
AuthorSadasivuni, Kishor Kumar
Available date2021-10-18T07:08:21Z
Publication Date2021-10-20
Publication NameQatar University Annual Research Forum and Exhibition (QUARFE 2021)
Identifierhttp://dx.doi.org/10.29117/quarfe.2021.0156
CitationAhmed M., Houkan M., Sadasivuni K. K., "Artificial Intelligence Assisted Prediction of COVID-19 Hotspots In Third Wave Using EHTERAZ", Qatar University Annual Research Forum and Exhibition (QUARFE 2021), Doha, 20 October 2021, https://doi.org/10.29117/quarfe.2021.0156
URIhttp://hdl.handle.net/10576/24342
AbstractThe present study conceptualizes fusion of artificial intelligence and contract tracking mobile application for predicting the COVID-19 hot spots. The findings suggest that mobile technology can be used to provide real-time data on the national and local state of the pandemic, enabling policy makers to make informed decisions in a quickly moving pandemic.
Languageen
PublisherQatar University Press
SubjectArtificial Intelligence
COVID-19 hotpot
Third wave
Ehteraz
TitleArtificial Intelligence assisted Prediction of COVID-19 Hotspots in Third Wave using EHTERAZ
TypePoster
dc.accessType Open Access


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