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    Data Mining Algorithms for Water Main Condition Prediction—Comparative Analysis 

    Source: Journal of Water Resources Planning and Management:;2021:;Volume ( 148 ):;issue: 002:;page 04021101
    Author(s): Ahmed Assad; Ahmed Bouferguene
    Publisher: ASCE
    Abstract: Accurate prediction of water mains condition is critical for effective rehabilitation planning. Advances in machine learning techniques can improve condition predictions. This paper compares the capabilities of various ...
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    Resilience-Driven Sustainability-Based Rehabilitation Planning for Water Distribution Networks 

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 008:;page 04021079-1
    Author(s): Ahmed Assad; Osama Moselhi; Tarek Zayed
    Publisher: ASCE
    Abstract: Water distribution networks (WDNs) confront momentous challenges, including the need to meet continuously increased demand, combat unforeseen disruptions, and reduce carbon emissions. Developing efficient plans for resilience ...
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    Resilience-Driven Multiobjective Restoration Planning for Water Distribution Networks 

    Source: Journal of Performance of Constructed Facilities:;2020:;Volume ( 034 ):;issue: 004
    Author(s): Ahmed Assad; Osama Moselhi; Tarek Zayed
    Publisher: ASCE
    Abstract: Sustaining functionality of water distribution networks (WDNs) following hazardous events is essential to public health and safety. Developing efficient restoration plans for rapid recovery is needed because of several ...
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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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