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Enhanced COVID-19 detection from chest X-rays using ERBMAHE and a channel attention-based hybrid CNN model.

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Bibliographic Details
Title: Enhanced COVID-19 detection from chest X-rays using ERBMAHE and a channel attention-based hybrid CNN model.
Authors: Gangwar, Shivam1, Devi, Reeta1, reetadahiya@kuk.ac.in, Mat Isa, Nor Ashidi2, Oraintara, Soontorn3
Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Jul2025, Vol. 29 Issue 13/14, p5071-5093, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187973755
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00500-025-10853-z
    Languages:
      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 5071
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      – TitleFull: Enhanced COVID-19 detection from chest X-rays using ERBMAHE and a channel attention-based hybrid CNN model.
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            NameFull: Gangwar, Shivam
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            NameFull: Devi, Reeta
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            NameFull: Mat Isa, Nor Ashidi
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            – D: 01
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              Text: Jul2025
              Type: published
              Y: 2025
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              Value: 29
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              Value: 13/14
          Titles:
            – TitleFull: Soft Computing - A Fusion of Foundations, Methodologies & Applications
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