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Novel Deep Learning-Based Method for Seismic-Induced Damage Detection
Ahmed Atia
*
, Mohammadreza Vafaei
, Sophia C. Alih
,
Kong Fah Tee
*
Corresponding author for this work
Department of Civil and Environmental Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Scopus citations
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Dive into the research topics of 'Novel Deep Learning-Based Method for Seismic-Induced Damage Detection'. Together they form a unique fingerprint.
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Engineering
Induced Damage
100%
Damage Detection
100%
Deep Learning Method
100%
Convolutional Neural Network
57%
Visual Inspection
28%
Extractor
28%
Limitations
28%
Comparative Analysis
14%
Environmental Variable
14%
Concrete Structure
14%
Dynamic Loads
14%
Conventional Technique
14%
Inspection Method
14%
Frame
14%
Data Series
14%
Health Monitoring
14%
Catastrophic Event
14%
Lstm
14%
Deep Neural Network
14%
Earth and Planetary Sciences
Earthquake
100%
Detection Method
66%
Real Time
33%
Time Series
33%
Catastrophic Event
33%
British Columbia
33%
Concrete Structure
33%
Steel Structure
33%
Comparative Analysis
33%
Long Short-Term Memory Network
33%
Physics
Deep Learning Method
100%
Convolutional Neural Network
57%
Earthquake
42%
Neural Network
28%
Concrete Structure
14%
Long Short-Term Memory Network
14%
Deep Neural Network
14%
Material Science
Dynamic Loads
100%