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An improved CNN model based on multi-dimensional feature fusion for the Kansei recognition of product styling in decision-making management systems.

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Title: An improved CNN model based on multi-dimensional feature fusion for the Kansei recognition of product styling in decision-making management systems.
Authors: Zhu, Ling1 (AUTHOR), Fu, Lei1 (AUTHOR), Yang, Xinyan1 (AUTHOR), Liu, Wenjia1 (AUTHOR), Lv, Jiufang1,2 (AUTHOR) lvjiufang8189@njfu.edu.cn
Source: International Journal of Production Research. Jan2026, p1-21. 21p. 11 Illustrations.
Database: Business Source Ultimate
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Header DbId: bsu
DbLabel: Business Source Ultimate
An: 191194664
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Jan2026, p1-21. 21p. 11 Illustrations.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=191194664
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/00207543.2026.2621830
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 21
        StartPage: 1
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      – TitleFull: An improved CNN model based on multi-dimensional feature fusion for the Kansei recognition of product styling in decision-making management systems.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Zhu, Ling
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          Name:
            NameFull: Fu, Lei
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            NameFull: Yang, Xinyan
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            NameFull: Liu, Wenjia
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            NameFull: Lv, Jiufang
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          Dates:
            – D: 29
              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 00207543
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            – TitleFull: International Journal of Production Research
              Type: main
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