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An automatic two-stage method for detecting angle steel overlap anomalies using deep learning and machine vision.

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Title: An automatic two-stage method for detecting angle steel overlap anomalies using deep learning and machine vision.
Authors: Han, Jiaming1,2,3,4, Fang, Ting1 flyingfangt@163.com, Liu, Wensheng2 3154464120@qq.com, Wang, Zhang2, Dong, Chong1,3,4
Source: Insight: Non-Destructive Testing & Condition Monitoring. Jul2026, Vol. 68 Issue 7, p460-468. 9p.
Database: Academic Search Ultimate
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Insight%3A+Non-Destructive+Testing+%26+Condition+Monitoring%22">Insight: Non-Destructive Testing & Condition Monitoring</searchLink>. Jul2026, Vol. 68 Issue 7, p460-468. 9p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195295813
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      – Type: doi
        Value: 10.1784/insi.2026.68.7.460
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      – Code: eng
        Text: English
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        StartPage: 460
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              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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