Cargando…
Convolutional Neural Network-Based Rapid Post-Earthquake Structural Damage Detection: Case Study
It is necessary to detect the structural damage condition of essential buildings immediately after an earthquake to identify safe structures, evacuate, or resume crucial activities. For this reason, a CNN methodology proposed to detect the structural damage condition of a building is here improved a...
Autores principales: | Moscoso Alcantara, Edisson Alberto, Saito, Taiki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459694/ https://www.ncbi.nlm.nih.gov/pubmed/36080885 http://dx.doi.org/10.3390/s22176426 |
Ejemplares similares
-
Machine Learning-Based Rapid Post-Earthquake Damage Detection of RC Resisting-Moment Frame Buildings
por: Alcantara, Edisson Alberto Moscoso, et al.
Publicado: (2023) -
Structural Response Prediction for Damage Identification Using Wavelet Spectra in Convolutional Neural Network
por: Moscoso Alcantara, Edisson Alberto, et al.
Publicado: (2021) -
Rapid Post-Earthquake Structural Damage Assessment Using Convolutional Neural Networks and Transfer Learning
por: Ogunjinmi, Peter Damilola, et al.
Publicado: (2022) -
Convolutional neural network for earthquake detection and location
por: Perol, Thibaut, et al.
Publicado: (2018) -
Earthquake Damage Visualization (EDV) Technique for the Rapid Detection of Earthquake-Induced Damages Using SAR Data
por: Sharma, Ram C., et al.
Publicado: (2017)