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

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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.
Subjects: Professional peer review, Scholarly peer review, Editorial boards
Abstract: The article addresses concerns raised about the peer-review process of a previously published paper, leading to an Editorial Board investigation. While the overall peer-review complied with MDPI's editorial policies, one of the four reviewers did not meet MDPI's Reviewer Guidelines or the Editorial Board's expectations, resulting in the removal of that reviewer's contribution from the open peer-review record. Consequently, a reference suggested by this reviewer was also removed from the article, with adjustments made to the reference order. The authors affirm that these changes do not affect the scientific conclusions, and the correction was approved by the Academic Editor. [Extracted from the article]
Copyright of Materials (1996-1944) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 194116747
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PubType: Academic Journal
PubTypeId: academicJournal
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  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
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  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>
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  Data: <searchLink fieldCode="JN" term="%22Materials+%281996-1944%29%22">Materials (1996-1944)</searchLink>. May2026, Vol. 19 Issue 10, p1911. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Professional+peer+review%22">Professional peer review</searchLink><br /><searchLink fieldCode="DE" term="%22Scholarly+peer+review%22">Scholarly peer review</searchLink><br /><searchLink fieldCode="DE" term="%22Editorial+boards%22">Editorial boards</searchLink>
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  Label: Abstract
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  Data: The article addresses concerns raised about the peer-review process of a previously published paper, leading to an Editorial Board investigation. While the overall peer-review complied with MDPI's editorial policies, one of the four reviewers did not meet MDPI's Reviewer Guidelines or the Editorial Board's expectations, resulting in the removal of that reviewer's contribution from the open peer-review record. Consequently, a reference suggested by this reviewer was also removed from the article, with adjustments made to the reference order. The authors affirm that these changes do not affect the scientific conclusions, and the correction was approved by the Academic Editor. [Extracted from the article]
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  Group: Ab
  Data: <i>Copyright of Materials (1996-1944) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3390/ma19101911
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        Text: English
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      – TitleFull: Correction: Chen et al. Deep Learning Applied to Defect Detection in Powder Spreading Process of Magnetic Material Additive Manufacturing. Materials 2022, 15 , 5662.
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              Text: May2026
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