A Self-Activated CNN Approach for Multi-Class Chest-Related COVID-19 Detection.

Saved in:
Bibliographic Details
Title: A Self-Activated CNN Approach for Multi-Class Chest-Related COVID-19 Detection.
Authors: Rehman, Najam-ur1, 70070155@student.uol.edu.pk, Zia, Muhammad Sultan1, sultan.zia@cs.uol.edu.pk, Meraj, Talha2, talha_cui@ciitwah.edu.pk, Rauf, Hafiz Tayyab3, h.rauf4@bradford.ac.uk, Damaševičius, Robertas4, robertas.damasevicius@polsl.pl, El-Sherbeeny, Ahmed M.5, aelsherbeeny@ksu.edu.sa, El-Meligy, Mohammed A.5, melmeligy@ksu.edu.sa
Source: Applied Sciences (2076-3417); Oct2021, Vol. 11 Issue 19, p9023, 24p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 152970544
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Self-Activated CNN Approach for Multi-Class Chest-Related COVID-19 Detection.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Rehman%2C+Najam-ur%22">Rehman, Najam-ur</searchLink><relatesTo>1</relatesTo>, <i>70070155@student.uol.edu.pk</i><br /><searchLink fieldCode="AU" term="%22Zia%2C+Muhammad+Sultan%22">Zia, Muhammad Sultan</searchLink><relatesTo>1</relatesTo>, <i>sultan.zia@cs.uol.edu.pk</i><br /><searchLink fieldCode="AU" term="%22Meraj%2C+Talha%22">Meraj, Talha</searchLink><relatesTo>2</relatesTo>, <i>talha_cui@ciitwah.edu.pk</i><br /><searchLink fieldCode="AU" term="%22Rauf%2C+Hafiz+Tayyab%22">Rauf, Hafiz Tayyab</searchLink><relatesTo>3</relatesTo>, <i>h.rauf4@bradford.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Damaševičius%2C+Robertas%22">Damaševičius, Robertas</searchLink><relatesTo>4</relatesTo>, <i>robertas.damasevicius@polsl.pl</i><br /><searchLink fieldCode="AU" term="%22El-Sherbeeny%2C+Ahmed+M%2E%22">El-Sherbeeny, Ahmed M.</searchLink><relatesTo>5</relatesTo>, <i>aelsherbeeny@ksu.edu.sa</i><br /><searchLink fieldCode="AU" term="%22El-Meligy%2C+Mohammed+A%2E%22">El-Meligy, Mohammed A.</searchLink><relatesTo>5</relatesTo>, <i>melmeligy@ksu.edu.sa</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Oct2021, Vol. 11 Issue 19, p9023, 24p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=152970544
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/app11199023
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 24
        StartPage: 9023
    Titles:
      – TitleFull: A Self-Activated CNN Approach for Multi-Class Chest-Related COVID-19 Detection.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Rehman, Najam-ur
      – PersonEntity:
          Name:
            NameFull: Zia, Muhammad Sultan
      – PersonEntity:
          Name:
            NameFull: Meraj, Talha
      – PersonEntity:
          Name:
            NameFull: Rauf, Hafiz Tayyab
      – PersonEntity:
          Name:
            NameFull: Damaševičius, Robertas
      – PersonEntity:
          Name:
            NameFull: El-Sherbeeny, Ahmed M.
      – PersonEntity:
          Name:
            NameFull: El-Meligy, Mohammed A.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 20763417
          Numbering:
            – Type: volume
              Value: 11
            – Type: issue
              Value: 19
          Titles:
            – TitleFull: Applied Sciences (2076-3417)
              Type: main
ResultId 1