Artificial Intelligence assisted Prediction of COVID-19 Hotspots in Third Wave using EHTERAZ
| Author | Ahmed, Mustafa |
| Author | Houkan, Mohammed |
| Author | Sadasivuni, Kishor Kumar |
| Available date | 2021-10-18T07:08:21Z |
| Publication Date | 2021-10-20 |
| Publication Name | Qatar University Annual Research Forum and Exhibition (QUARFE 2021) |
| Identifier | http://dx.doi.org/10.29117/quarfe.2021.0156 |
| Citation | Ahmed 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 |
| Abstract | The 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. |
| Language | en |
| Publisher | Qatar University Press |
| Subject | Artificial Intelligence COVID-19 hotpot Third wave Ehteraz |
| Type | Poster |
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Center for Advanced Materials Research [1378 items ]
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COVID-19 Research [835 items ]
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Theme 3: Information and Communication Technologies [16 items ]