Rapid Post-Earthquake Structural Damage Assessment Using Convolutional Neural Networks and Transfer Learning

The adoption of artificial intelligence in post-earthquake inspections and reconnaissance has received considerable attention in recent years, owing to its exponential increase in computation capabilities and inherent potential in addressing disadvantages associated with manual in-spections. Herein,...

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Bibliographic Details
Main Authors:	Kim, B. (Author), Lee, D.-E (Author), Ogunjinmi, P.D (Author), Park, S.-S (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	Convolution convolutional neural network Convolutional neural network Convolutional neural networks damage detection Damage detection Decision making Deep learning earthquake, image classification Earthquake, image classification Earthquakes Image classification Image datasets Images classification Neural network model Performance Statistical tests Structural analysis Structural damage assessments Structural damages transfer learning Transfer learning Web services Web-based applications Websites
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View Fulltext in Publisher

Rapid Post-Earthquake Structural Damage Assessment Using Convolutional Neural Networks and Transfer Learning

Internet

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