A Survey on Deep Transfer Learning to Edge Computing for Mitigating the COVID-19 Pandemic
preprintposted on 11.07.2020, 20:48 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.
Email Address of Submitting Authorsufian.email@example.com
ORCID of Submitting Author0000-0003-2035-2938
Submitting Author's InstitutionUniversity of Gour Banga
Submitting Author's CountryIndia
Read the peer-reviewed publication
in Journal of Systems Architecture