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    Synthetic Data Generation Techniques for Enhancing Crack Detection in Railway Concrete Sleepers 

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 003:;page 04025032-1
    Author(s): E. Aldao; L. Fernández-Pardo; F. Veiga-López; L. M. González-deSantos; H. González-Jorge
    Publisher: American Society of Civil Engineers
    Abstract: Developing deep learning–based computer vision systems for the autonomous inspection of railway sleepers is a challenging task due to the difficulty in obtaining training images representative of the actual infrastructure. ...
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