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A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron.

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Title: A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron.
Authors: Khan, Asifullah1,2,3, asif@pieas.edu.pk, Khan, Saddam Hussain1,4, saddamhkhan@ueas.edu.pk, Saif, Mahrukh1, Batool, Asiya1, Sohail, Anabia1,5, Waleed Khan, Muhammad1,6
Source: Journal of Experimental & Theoretical Artificial Intelligence; Nov2024, Vol. 36 Issue 8, p1779-1821, 43p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Experimental+%26+Theoretical+Artificial+Intelligence%22">Journal of Experimental & Theoretical Artificial Intelligence</searchLink>; Nov2024, Vol. 36 Issue 8, p1779-1821, 43p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=180474162
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/0952813X.2023.2165724
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      – Code: eng
        Text: English
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        PageCount: 43
        StartPage: 1779
    Titles:
      – TitleFull: A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron.
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            NameFull: Khan, Asifullah
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            NameFull: Khan, Saddam Hussain
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            NameFull: Saif, Mahrukh
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            NameFull: Batool, Asiya
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            NameFull: Sohail, Anabia
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            NameFull: Waleed Khan, Muhammad
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            – D: 01
              M: 11
              Text: Nov2024
              Type: published
              Y: 2024
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              Value: 36
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