A novel approach of boundary preservative apparel detection and classification of fashion images using deep learning.

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Title: A novel approach of boundary preservative apparel detection and classification of fashion images using deep learning.
Authors: Murtaza, Marryam1 (AUTHOR) marryam_murtaza@ciitwah.edu.pk, Sharif, Muhammad1 (AUTHOR), Yasmin, Mussarat1 (AUTHOR), Kadry, Seifedine2 (AUTHOR)
Source: Mathematical Methods in the Applied Sciences. 3/30/2026, Vol. 49 Issue 5, p3639-3668. 30p.
Database: Mathematics Source
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  Data: A novel approach of boundary preservative apparel detection and classification of fashion images using deep learning.
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  Data: <searchLink fieldCode="JN" term="%22Mathematical+Methods+in+the+Applied+Sciences%22">Mathematical Methods in the Applied Sciences</searchLink>. 3/30/2026, Vol. 49 Issue 5, p3639-3668. 30p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1002/mma.8197
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      – Code: eng
        Text: English
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        PageCount: 30
        StartPage: 3639
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      – TitleFull: A novel approach of boundary preservative apparel detection and classification of fashion images using deep learning.
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            NameFull: Murtaza, Marryam
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            NameFull: Sharif, Muhammad
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            NameFull: Yasmin, Mussarat
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              Text: 3/30/2026
              Type: published
              Y: 2026
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              Value: 49
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