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Correction: Deep Learning Applied to Defect Detection in Powder Spreading Process of Magnetic Material Additive Manufacturing (Materials, (2022), 15, 16, (5662), 10.3390/ma15165662)

  • Hsin Yu Chen
  • , Ching Chih Lin
  • , Ming Huwi Horng
  • , Lien-Kai Chang
  • , Jian Han Hsu
  • , Tsung-Wei Chang
  • , Jhih Chen Hung
  • , Rong Mao Lee
  • , Mi Ching Tsai

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

Following publication, concerns were raised regarding the peer-review process related to the publication of this article [1]. Adhering to our standard procedure, the Editorial Board conducted an investigation, which determined that, while the peer-review process does comply with MDPI’s Editorial process policy (https://www.mdpi.com/editorial_process), the contribution of one of the four reviewers does not comply with MDPI’s Guideline for Reviewers (https://www.mdpi.com/reviewers#_bookmark11) or the expectations of the Editorial Board. As a result, the Editorial Board has decided to remove the contribution of Reviewer 2 from the open peer-review record (https://www.mdpi.com/1996-1944/15/16/5662/review_report). Following discussion with the authors, one reference originally included at the reviewer’s suggestion has also been removed from the article [1]. The reference [22] in the original publication—Roy, A.M.; Bose, R.; Bhaduri, J. A fast accurate fine-grain object detection model based on YOLOv4 deep neural network. Neural Comput. Appl. 2022, 34, 3895–3921—has been removed. With this correction, the order of some references has been adjusted accordingly. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Original languageEnglish
Article number1911
JournalMaterials
Volume19
Issue number10
DOIs
Publication statusPublished - 2026 May

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

All Science Journal Classification (ASJC) codes

  • General Materials Science
  • Condensed Matter Physics

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