Artificial Intelligence assisted Prediction of COVID-19 Hotspots in Third Wave using EHTERAZ
المؤلف | Ahmed, Mustafa |
المؤلف | Houkan, Mohammed |
المؤلف | Sadasivuni, Kishor Kumar |
تاريخ الإتاحة | 2021-10-18T07:08:21Z |
تاريخ النشر | 2021-10-20 |
اسم المنشور | Qatar University Annual Research Forum and Exhibition (QUARFE 2021) |
المعرّف | http://dx.doi.org/10.29117/quarfe.2021.0156 |
الاقتباس | 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 |
الملخص | 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. |
اللغة | en |
الناشر | Qatar University Press |
الموضوع | Artificial Intelligence COVID-19 hotpot Third wave Ehteraz |
النوع | Poster |
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