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    Evaluation Model for Crack Detection with Deep Learning: Improved Confusion Matrix Based on Linear Features 

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 003:;page 04024210-1
    Author(s): Ching-Lung Fan
    Publisher: American Society of Civil Engineers
    Abstract: Damage due to cracking can be detected through either manual visual methods or machine vision techniques for early prevention and maintenance. In recent years, image-based deep learning methods have emerged as potent tools ...
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    Defect Risk Assessment Using a Hybrid Machine Learning Method 

    Source: Journal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 009
    Author(s): Ching-Lung Fan
    Publisher: ASCE
    Abstract: Defects pose considerable risks to construction projects in terms of both cost and quality, and identifying defects thus is crucial to effective construction quality management. In this study, data for 45 cases were obtained ...
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