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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: | , , , |
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Formato: | Artigo |
Idioma: | Inglês |
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MDPI AG
2022-05-01
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Colecção: | Sensors |
Assuntos: | |
Acesso em linha: | https://www.mdpi.com/1424-8220/22/9/3471 |
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