Artificial intelligence enabled COVID-19 detection: techniques, challenges and use cases.

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Title: Artificial intelligence enabled COVID-19 detection: techniques, challenges and use cases.
Authors: Panjeta, Manisha1, manisha.panjeta@thapar.edu, Reddy, Aryan2, Shah, Rushabh2, Shah, Jash2
Source: Multimedia Tools & Applications; Jan2024, Vol. 83 Issue 2, p4639-4666, 28p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 174645862
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PubType: Academic Journal
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  Data: Artificial intelligence enabled COVID-19 detection: techniques, challenges and use cases.
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  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Jan2024, Vol. 83 Issue 2, p4639-4666, 28p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=174645862
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      – Type: doi
        Value: 10.1007/s11042-023-15247-7
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      – Code: eng
        Text: English
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        PageCount: 28
        StartPage: 4639
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            NameFull: Reddy, Aryan
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            NameFull: Shah, Rushabh
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              Text: Jan2024
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              Y: 2024
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