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MCD-YOLO: An improved method for detecting mixed-class defects on steel plate surfaces.

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Title: MCD-YOLO: An improved method for detecting mixed-class defects on steel plate surfaces.
Authors: Li, Jiangwei1, 2369156940@qq.com, Chu, Maoxiang1, chu52_2004@163.com, Zong, Peinan1, zongpeinan@163.com, Ma, Simin1, 1820077692@qq.com
Source: Engineering Applications of Artificial Intelligence; May2026, Vol. 171, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192260584
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: MCD-YOLO: An improved method for detecting mixed-class defects on steel plate surfaces.
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  Data: <searchLink fieldCode="AU" term="%22Li%2C+Jiangwei%22">Li, Jiangwei</searchLink><relatesTo>1</relatesTo>, <i>2369156940@qq.com</i><br /><searchLink fieldCode="AU" term="%22Chu%2C+Maoxiang%22">Chu, Maoxiang</searchLink><relatesTo>1</relatesTo>, <i>chu52_2004@163.com</i><br /><searchLink fieldCode="AU" term="%22Zong%2C+Peinan%22">Zong, Peinan</searchLink><relatesTo>1</relatesTo>, <i>zongpeinan@163.com</i><br /><searchLink fieldCode="AU" term="%22Ma%2C+Simin%22">Ma, Simin</searchLink><relatesTo>1</relatesTo>, <i>1820077692@qq.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Applications+of+Artificial+Intelligence%22">Engineering Applications of Artificial Intelligence</searchLink>; May2026, Vol. 171, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192260584
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.engappai.2026.114282
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      – Code: eng
        Text: English
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        StartPage: N.PAG
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      – TitleFull: MCD-YOLO: An improved method for detecting mixed-class defects on steel plate surfaces.
        Type: main
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      – PersonEntity:
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            NameFull: Li, Jiangwei
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            NameFull: Chu, Maoxiang
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            NameFull: Zong, Peinan
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 09521976
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              Value: 171
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            – TitleFull: Engineering Applications of Artificial Intelligence
              Type: main
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