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    Automated Anomaly Detection and Localization in Sewer Inspection Videos Using Proportional Data Modeling and Deep Learning–Based Text Recognition 

    Source: Journal of Infrastructure Systems:;2020:;Volume ( 026 ):;issue: 003
    Author(s): Saeed Moradi; Tarek Zayed; Fuzhan Nasiri; Farzaneh Golkhoo
    Publisher: ASCE
    Abstract: In recent decades, closed circuit television (CCTV) has been the most used tool for visually inspecting the internal condition of pipelines. However, CCTV inspection requires long videos to be observed and analyzed by ...
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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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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian