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10.1016/j.sysarc.2020.101830 http://scihub22266oqcxt.onion/10.1016/j.sysarc.2020.101830 C7326453!7326453!C7326453     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       ä-/-ä 2020 ; 108 (ä): 101830 Nephropedia Template TP {{tp|p=C7326453|t=2020. A Survey on Deep Transfer Learning to Edge Computing for Mitigating the COVID-19 Pandemic |pdf=|usr=}}{{C7326453}} gab.com Text A Survey on Deep Transfer Learning to Edge Computing for Mitigating the COVID-19 Pandemic JO: ä-/-ä http://www.kidney.de/pget.php?&tw=1&pmid=C7326453 #FOAvip ?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. Twit Text FOAVip A Survey on Deep Transfer Learning to Edge Computing for Mitigating the COVID-19 Pandemic ????ä-/-ä http://www.kidney.de/pget.php?&tw=1&pmid=C7326453 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=C7326453 #FOAvip English Wikipedia <ref>{{Cite pmid|C7326453}}</ref> A Survey on Deep Transfer Learning to Edge Computing for Mitigating the COVID-19 Pandemic #MMPMIDC7326453 Sufian A; Ghosh A; Sadiq AS; Smarandache F ä-/-ä 2020[Sep]; 108 (ä): 101830 PMIDC7326453show ga ?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. äA Survey on Deep Transfer Learning to Edge Computing for Mitigating th(epmc).pdf DeepDyve Pubget Overpricing