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Lightweight intelligent detection algorithm for surface defects in printed circuit board.

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Title: Lightweight intelligent detection algorithm for surface defects in printed circuit board.
Authors: Zhao, Xiaolong1, 2010253@stu.neu.edu.cn, Zhang, Haifeng1, 1910249@stu.neu.edu.cn, Song, Chonghui1, songchonghui@mail.neu.edu.cn, Li, Hao1, 2110259@stu.neu.edu.cn, Guo, Hongyi1, 2210274@stu.neu.edu.cn
Source: Computers & Industrial Engineering; May2025, Vol. 203, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 184473621
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Lightweight intelligent detection algorithm for surface defects in printed circuit board.
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  Data: <searchLink fieldCode="AU" term="%22Zhao%2C+Xiaolong%22">Zhao, Xiaolong</searchLink><relatesTo>1</relatesTo>, <i>2010253@stu.neu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Haifeng%22">Zhang, Haifeng</searchLink><relatesTo>1</relatesTo>, <i>1910249@stu.neu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Song%2C+Chonghui%22">Song, Chonghui</searchLink><relatesTo>1</relatesTo>, <i>songchonghui@mail.neu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Hao%22">Li, Hao</searchLink><relatesTo>1</relatesTo>, <i>2110259@stu.neu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Guo%2C+Hongyi%22">Guo, Hongyi</searchLink><relatesTo>1</relatesTo>, <i>2210274@stu.neu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Computers+%26+Industrial+Engineering%22">Computers & Industrial Engineering</searchLink>; May2025, Vol. 203, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=184473621
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      – Type: doi
        Value: 10.1016/j.cie.2025.111030
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      – Code: eng
        Text: English
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      – TitleFull: Lightweight intelligent detection algorithm for surface defects in printed circuit board.
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            NameFull: Zhao, Xiaolong
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            NameFull: Zhang, Haifeng
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            – D: 01
              M: 05
              Text: May2025
              Type: published
              Y: 2025
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              Value: 03608352
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              Value: 203
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