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Convolutional Structural Similarity Index Measure (CSSIM): A Novel Interpretable Classification Method for ADHD Diagnosis Using EEG.

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Title: Convolutional Structural Similarity Index Measure (CSSIM): A Novel Interpretable Classification Method for ADHD Diagnosis Using EEG.
Authors: Setianto, YB Dwi1,2, Winarko, Edi1, ewinarko@ugm.ac.id, Putra, Agfianto Eko1
Source: International Journal of Intelligent Engineering & Systems; 2026, Vol. 19 Issue 1, p255-269, 14p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190379139
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Convolutional Structural Similarity Index Measure (CSSIM): A Novel Interpretable Classification Method for ADHD Diagnosis Using EEG.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Intelligent+Engineering+%26+Systems%22">International Journal of Intelligent Engineering & Systems</searchLink>; 2026, Vol. 19 Issue 1, p255-269, 14p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190379139
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.22266/ijies2026.0131.16
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 255
    Titles:
      – TitleFull: Convolutional Structural Similarity Index Measure (CSSIM): A Novel Interpretable Classification Method for ADHD Diagnosis Using EEG.
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            NameFull: Setianto, YB Dwi
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            NameFull: Winarko, Edi
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            NameFull: Putra, Agfianto Eko
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              Text: 2026
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              Y: 2026
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              Value: 19
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            – TitleFull: International Journal of Intelligent Engineering & Systems
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