Damage Classification for Masonry Historic Structures Using Convolutional Neural Networks Based on Still Images
Work
Year: 2018
Type: article
Institutions Dalian University of Technology, Palace Museum
Cites: 60
Cited by: 126
Related to: 10
FWCI: 10.77
Citation percentile (by year/subfield): 89.62
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Sustainable cities and communities
Open Access status: closed
Grant IDS 51479031, DUT16ZD219