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Uni-3DAD: Gan-inversion aided universal 3D anomaly detection on model-free products.

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Bibliographic Details
Title: Uni-3DAD: Gan-inversion aided universal 3D anomaly detection on model-free products.
Authors: Liu, Jiayu1, Mou, Shancong2, Gaw, Nathan3, Wang, Yinan1
Source: Expert Systems with Applications; May2025, Vol. 272, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 183454458
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=183454458
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.eswa.2025.126665
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: Uni-3DAD: Gan-inversion aided universal 3D anomaly detection on model-free products.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Liu, Jiayu
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            NameFull: Mou, Shancong
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            NameFull: Gaw, Nathan
      – PersonEntity:
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            NameFull: Wang, Yinan
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          Dates:
            – D: 05
              M: 05
              Text: May2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 09574174
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            – Type: volume
              Value: 272
          Titles:
            – TitleFull: Expert Systems with Applications
              Type: main
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