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Classification of Soft-Story Buildings Using Deep Learning with Density Features Extracted from 3D Point Clouds
Peng Yu Chen
, Zheng Yi Wu, Ertugrul Taciroglu
土木工程學系
研究成果
:
雜誌貢獻
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期刊論文
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同行評審
12
引文 斯高帕斯(Scopus)
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深入研究「Classification of Soft-Story Buildings Using Deep Learning with Density Features Extracted from 3D Point Clouds」主題。共同形成了獨特的指紋。
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Keyphrases
Deep Learning
100%
Feature Extracting
100%
3D Point Cloud
100%
Density Feature
100%
Soft-story Building
100%
Earthquake
25%
Urban Areas
25%
Sensitivity Range
25%
Deep Convolutional Neural Network (deep CNN)
25%
Optimal Performance
25%
Parameter Sensitivity
25%
City Scale
25%
Convolutional Neural Network Model
25%
Transfer Learning Model
25%
Point Density
25%
Imagery Data
25%
Seismic Resilience
25%
California USA
25%
3D Point Cloud Data
25%
Santa Monica
25%
Seismic Risk Mitigation
25%
Engineering
Extracted Feature
100%
Point Cloud
100%
Story Building
100%
Feature Density
100%
Deep Learning Method
100%
Learning Technique
50%
Convolutional Neural Network
50%
Network Model
25%
Optimal Performance
25%
Sensitivity Parameter
25%
Raw Image
25%
Transfer Learning
25%
Target Region
25%
Seismic Risk
25%
Earth and Planetary Sciences
State of the Art
100%
California
100%
United States of America
100%
Urban Region
100%
Material Science
Density
100%