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    An Autoencoder-Based Machine- and Deep-Learning Approach for Predicting Bridge Deck Conditions in Texas 

    Source: Journal of Structural Design and Construction Practice:;2025:;Volume ( 030 ):;issue: 004:;page 04025080-1
    Author(s): Bayat, Mahmoud; Kharel, Subham; Li, Jianling
    Publisher: American Society of Civil Engineers
    Abstract: AbstractBridges are crucial to the global economy, facilitating mobility and accessibility. Effective monitoring and maintenance of these structures are vital due to aging, heavy traffic, and variable construction quality. ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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