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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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Main Authors: Peter Damilola Ogunjinmi, Sung-Sik Park, Bubryur Kim, Dong-Eun Lee
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-05-01
Colecção:Sensors
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Acesso em linha:https://www.mdpi.com/1424-8220/22/9/3471
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