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A Survey on Deep Transfer Learning to Edge Computing for Mitigating the COVID-19 Pandemic

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preprint
posted on 11.07.2020 by Abu Sufian, Anirudha Ghosh, Ali Safaa Sadiq, Florentin Smarandache
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.

History

Email Address of Submitting Author

sufian.csa@gmail.com

ORCID of Submitting Author

0000-0003-2035-2938

Submitting Author's Institution

University of Gour Banga

Submitting Author's Country

India

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in Journal of Systems Architecture

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