View in EDS HTML Full Text PDF Full Text

Correction: Chen et al. Deep Learning Applied to Defect Detection in Powder Spreading Process of Magnetic Material Additive Manufacturing. Materials 2022, 15 , 5662.

Saved in:
Bibliographic Details
Title: Correction: Chen et al. Deep Learning Applied to Defect Detection in Powder Spreading Process of Magnetic Material Additive Manufacturing. Materials 2022, 15 , 5662.
Authors: Chen, Hsin-Yu1 (AUTHOR), Lin, Ching-Chih1,2 (AUTHOR), Horng, Ming-Huwi2,3 (AUTHOR), Chang, Lien-Kai1 (AUTHOR), Hsu, Jian-Han2 (AUTHOR), Chang, Tsung-Wei1 (AUTHOR), Hung, Jhih-Chen2 (AUTHOR), Lee, Rong-Mao3 (AUTHOR), Tsai, Mi-Ching1 (AUTHOR) mctsai@mail.ncku.edu.tw
Source: Materials (1996-1944). May2026, Vol. 19 Issue 10, p1911. 1p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 194116747
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Correction: Chen et al. Deep Learning Applied to Defect Detection in Powder Spreading Process of Magnetic Material Additive Manufacturing. Materials 2022, 15 , 5662.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Hsin-Yu%22">Chen, Hsin-Yu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Ching-Chih%22">Lin, Ching-Chih</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Horng%2C+Ming-Huwi%22">Horng, Ming-Huwi</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chang%2C+Lien-Kai%22">Chang, Lien-Kai</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hsu%2C+Jian-Han%22">Hsu, Jian-Han</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chang%2C+Tsung-Wei%22">Chang, Tsung-Wei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hung%2C+Jhih-Chen%22">Hung, Jhih-Chen</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lee%2C+Rong-Mao%22">Lee, Rong-Mao</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tsai%2C+Mi-Ching%22">Tsai, Mi-Ching</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mctsai@mail.ncku.edu.tw</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Materials+%281996-1944%29%22">Materials (1996-1944)</searchLink>. May2026, Vol. 19 Issue 10, p1911. 1p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194116747
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/ma19101911
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: 1911
    Titles:
      – TitleFull: Correction: Chen et al. Deep Learning Applied to Defect Detection in Powder Spreading Process of Magnetic Material Additive Manufacturing. Materials 2022, 15 , 5662.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Chen, Hsin-Yu
      – PersonEntity:
          Name:
            NameFull: Lin, Ching-Chih
      – PersonEntity:
          Name:
            NameFull: Horng, Ming-Huwi
      – PersonEntity:
          Name:
            NameFull: Chang, Lien-Kai
      – PersonEntity:
          Name:
            NameFull: Hsu, Jian-Han
      – PersonEntity:
          Name:
            NameFull: Chang, Tsung-Wei
      – PersonEntity:
          Name:
            NameFull: Hung, Jhih-Chen
      – PersonEntity:
          Name:
            NameFull: Lee, Rong-Mao
      – PersonEntity:
          Name:
            NameFull: Tsai, Mi-Ching
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 19961944
          Numbering:
            – Type: volume
              Value: 19
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: Materials (1996-1944)
              Type: main
ResultId 1