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

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 inspections. Herein,...

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Bibliographic Details
Main Authors: Peter Damilola Ogunjinmi, Sung-Sik Park, Bubryur Kim, Dong-Eun Lee
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
transfer learning
convolutional neural network
earthquake
image classification
damage detection
Online Access:https://www.mdpi.com/1424-8220/22/9/3471

Internet

https://www.mdpi.com/1424-8220/22/9/3471

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