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OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19.

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Title: OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19.
Authors: Goel, Tripti1, Murugan, R.1, murugan.rmn@ece.nits.ac.in, Mirjalili, Seyedali2, Chakrabartty, Deba Kumar3
Source: Applied Intelligence; Mar2021, Vol. 51 Issue 3, p1351-1366, 16p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 151935374
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=151935374
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10489-020-01904-z
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 1351
    Titles:
      – TitleFull: OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Goel, Tripti
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          Name:
            NameFull: Murugan, R.
      – PersonEntity:
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            NameFull: Mirjalili, Seyedali
      – PersonEntity:
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            NameFull: Chakrabartty, Deba Kumar
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          Dates:
            – D: 01
              M: 03
              Text: Mar2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 0924669X
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              Value: 51
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Applied Intelligence
              Type: main
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