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Machine Learning for Predicting Prehurricane Structural Damage
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 ...
Data Augmentation for Improving Deep Learning Models in Building Inspections or Postdisaster Evaluation
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 ...