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SS-ANFIS: a semi-supervised neuro-fuzzy model for offline signature verification.

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Title: SS-ANFIS: a semi-supervised neuro-fuzzy model for offline signature verification.
Authors: Syamsuddin, Sadly1, sadlys@undipa.ac.id, Jufri1, Dani Rachman, Suci Rahma1, Suryani1, Musu, Wilem1, Salmiati1, Mangopo, Yesycha Arun1
Source: International Journal of Electrical & Computer Engineering (2088-8708); Aug2026, Vol. 16 Issue 4, p1985-1997, 13p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 196702609
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=196702609
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.11591/ijece.v16i4.pp1985-1997
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 13
        StartPage: 1985
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      – TitleFull: SS-ANFIS: a semi-supervised neuro-fuzzy model for offline signature verification.
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            NameFull: Syamsuddin, Sadly
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            NameFull: Musu, Wilem
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          Dates:
            – D: 01
              M: 08
              Text: Aug2026
              Type: published
              Y: 2026
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            – TitleFull: International Journal of Electrical & Computer Engineering (2088-8708)
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