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    Machine Learning for Predicting Prehurricane Structural Damage 

    Source: Natural Hazards Review:;2024:;Volume ( 025 ):;issue: 004:;page 04024044-1
    Author(s): Samuel Leach; Stephanie Paal
    Publisher: American Society of Civil Engineers
    Abstract: This study proposes a novel framework for the prediction of structural damages caused by extreme weather and climate events. In current practice, following a weather event, inspectors manually evaluate damaged structures ...
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    Data Augmentation for Improving Deep Learning Models in Building Inspections or Postdisaster Evaluation 

    Source: Journal of Performance of Constructed Facilities:;2021:;Volume ( 035 ):;issue: 004:;page 04021029-1
    Author(s): Samuel Leach; Yunhe Xue; Rahul Sridhar; Stephanie Paal; Zhangyang Wang; Robin Murphy
    Publisher: ASCE
    Abstract: Current building evaluations, whether for occupant safety or insurance appraisal, are conducted primarily via visual inspections performed by certified individuals. These inspections, which often can number in the hundreds ...
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    DSpace software copyright © 2002-2015  DuraSpace
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