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    Near-Real-Time Identification of Seismic Damage Using Unsupervised Deep Neural Network 

    Source: Journal of Engineering Mechanics:;2022:;Volume ( 148 ):;issue: 003:;page 04022006
    Author(s): Minkyu Kim; Junho Song
    Publisher: ASCE
    Abstract: Prompt identification of structural damage is essential for effective postdisaster responses. To this end, this paper proposes a deep neural network (DNN)–based framework to identify seismic damage based on structural ...
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