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A Survey on Deep Transfer Learning and Edge Computing for Mitigating the COVID-19 Pandemic
5
Zitationen
4
Autoren
2020
Jahr
Abstract
Highlights of the article are: • Presented a systematic study of Deep Learning (DL), Deep Transfer Learning (DTL) and Edge Computing(EC) to mitigate COVID-19. • Surveyed on existing DL, DTL, EC, and Dataset to mitigate pandemics with potentialities and challenges. • Drawn a precedent pipeline model of DTL over EC for a future scope to mitigate any outbreaks. • Given brief analyses and challenges wherever relevant in perspective of COVID-19.
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