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

Abu Sufian, Anirudha Ghosh, Ali Safaa Sadiq, Florentin Smarandache
2020 unpublished
Highlights of the article are:<div>• Presented a systematic study of Deep Learning (DL), Deep Transfer Learning (DTL) and Edge Computing(EC) to mitigate COVID-19.</div><div>• Surveyed on existing DL, DTL, EC, and Dataset to mitigate pandemics with potentialities and challenges. </div><div>• Drawn a precedent pipeline model of DTL over EC for a future scope to mitigate any outbreaks.</div><div>• Given brief analyses and challenges wherever relevant in perspective of COVID-19.</div>
doi:10.36227/techrxiv.12535010.v4 fatcat:nxioxmklsvexfjrmaeod73qfs4