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Design of Deep Learning Techniques for PCBs Defect Detecting System based on YOLOv10.

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Title: Design of Deep Learning Techniques for PCBs Defect Detecting System based on YOLOv10.
Authors: Ruengrote, Sumarin1, ru.sumarin_st@tni.ac.th, Kasetravetin, Kittikun2, kittikun@madesco-int.com, Srisom, Phanuphop3, phanuphop.sri@tni.ac.th, Sukchok, Theeraphan4, theeraphan.s@tspacedigital.com, Keawdook, Don3, don@tni.ac.th
Source: Engineering, Technology & Applied Science Research; Dec2024, Vol. 14 Issue 6, p18741-18749, 9p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Design of Deep Learning Techniques for PCBs Defect Detecting System based on YOLOv10.
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        Value: 10.48084/etasr.9028
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      – Code: eng
        Text: English
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        PageCount: 9
        StartPage: 18741
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      – TitleFull: Design of Deep Learning Techniques for PCBs Defect Detecting System based on YOLOv10.
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            NameFull: Ruengrote, Sumarin
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            NameFull: Kasetravetin, Kittikun
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              M: 12
              Text: Dec2024
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              Y: 2024
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