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    Machine Learning-Based Resilience Modeling and Assessment of High Consequence Systems Under Uncertainty 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2024:;volume( 009 ):;issue: 002:;page 21009-1
    Author(s): Liu, Cong; Wang, Fengjun; Xie, Chaoyang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This study proposes a theoretical model and assessment method for the resilience of high consequence system (HCS), addressing the risk assessment and decision-making needs in critical system engineering activities. By ...
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    Study on Vehicle Lane-Changing Behavior Based on Cellular Automaton 

    Source: Journal of Highway and Transportation Research and Development (English Edition):;2018:;Volume ( 012 ):;issue: 001
    Author(s): Li Juan;Qu Da-yi;Liu Cong;Wang Jin-zhan;Xu Xiang-hua
    Publisher: American Society of Civil Engineers
    Abstract: The cellular automaton model is an effective tool for studying the dynamic characteristics of urban road traffic flow. To improve the lane-changing behavior of vehicles in a microscopic traffic simulation by using the ...
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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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