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Boosting hyperspectral image classification with Gate-Shift-Fuse mechanisms in a novel CNN-Transformer approach.

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Title: Boosting hyperspectral image classification with Gate-Shift-Fuse mechanisms in a novel CNN-Transformer approach.
Authors: Guerri, Mohamed Fadhlallah1,2, mohamedfadhlallah.guerri@unisalento.it, Distante, Cosimo1,2, cosimo.distante@cnr.it, Spagnolo, Paolo2, paolo.spagnolo@cnr.it, Taleb-Ahmed, Abdelmalik3, Abdelmalik.Taleb-Ahmed@uphf.fr
Source: Computers & Electronics in Agriculture; Oct2025:Part A, Vol. 237, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187230595
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Boosting hyperspectral image classification with Gate-Shift-Fuse mechanisms in a novel CNN-Transformer approach.
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  Data: <searchLink fieldCode="JN" term="%22Computers+%26+Electronics+in+Agriculture%22">Computers & Electronics in Agriculture</searchLink>; Oct2025:Part A, Vol. 237, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187230595
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.compag.2025.110489
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: Boosting hyperspectral image classification with Gate-Shift-Fuse mechanisms in a novel CNN-Transformer approach.
        Type: main
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          Name:
            NameFull: Guerri, Mohamed Fadhlallah
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            NameFull: Distante, Cosimo
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            NameFull: Spagnolo, Paolo
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          Dates:
            – D: 01
              M: 10
              Text: Oct2025:Part A
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 01681699
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              Value: 237
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            – TitleFull: Computers & Electronics in Agriculture
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