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A HYBRID MULTISCALE CONVOLUTION NEURAL NETWORK WITH ATTENTION AND TEXTURE FEATURES FOR IMPROVED IMAGE CLASSIFICATION.

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Title: A HYBRID MULTISCALE CONVOLUTION NEURAL NETWORK WITH ATTENTION AND TEXTURE FEATURES FOR IMPROVED IMAGE CLASSIFICATION.
Authors: Pardosi, Irpan Adiputra1,2, Harumy, Tengku Henny Febriana3, hennyharumy@usu.ac.id, Efendi, Syahril4
Source: Eastern-European Journal of Enterprise Technologies; 2025, Vol. 5 Issue 2(137), p18-28, 11p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: A HYBRID MULTISCALE CONVOLUTION NEURAL NETWORK WITH ATTENTION AND TEXTURE FEATURES FOR IMPROVED IMAGE CLASSIFICATION.
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  Data: <searchLink fieldCode="JN" term="%22Eastern-European+Journal+of+Enterprise+Technologies%22">Eastern-European Journal of Enterprise Technologies</searchLink>; 2025, Vol. 5 Issue 2(137), p18-28, 11p
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      – Type: doi
        Value: 10.15587/1729-4061.2025.331524
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 11
        StartPage: 18
    Titles:
      – TitleFull: A HYBRID MULTISCALE CONVOLUTION NEURAL NETWORK WITH ATTENTION AND TEXTURE FEATURES FOR IMPROVED IMAGE CLASSIFICATION.
        Type: main
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            NameFull: Pardosi, Irpan Adiputra
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            NameFull: Harumy, Tengku Henny Febriana
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            NameFull: Efendi, Syahril
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            – D: 17
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              Text: 2025
              Type: published
              Y: 2025
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              Value: 5
            – Type: issue
              Value: 2(137)
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            – TitleFull: Eastern-European Journal of Enterprise Technologies
              Type: main
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