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A Hybrid Approach to Longitudinal Crack Detection with Computer Vision, Image Processing, and Machine Learning.

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Title: A Hybrid Approach to Longitudinal Crack Detection with Computer Vision, Image Processing, and Machine Learning.
Authors: Wang, Yan-yu1,2,3, Wang, Qi-can1,2, Cheng, Yong-hui1,2, Yao, Man1,2, Wang, Xu-dong1,2, hler@dlut.edu.cn, Mahalec, Vladimir3, mahalec@mcmaster.ca
Source: Metallurgical & Materials Transactions. Part B; Jun2025, Vol. 56 Issue 3, p3049-3064, 16p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 185184148
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PubType: Academic Journal
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  Data: A Hybrid Approach to Longitudinal Crack Detection with Computer Vision, Image Processing, and Machine Learning.
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        Value: 10.1007/s11663-025-03513-y
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 3049
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      – TitleFull: A Hybrid Approach to Longitudinal Crack Detection with Computer Vision, Image Processing, and Machine Learning.
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            NameFull: Wang, Yan-yu
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            NameFull: Wang, Qi-can
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            NameFull: Cheng, Yong-hui
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            NameFull: Wang, Xu-dong
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            – D: 01
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
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            – TitleFull: Metallurgical & Materials Transactions. Part B
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