Gradient and self-attention enabled convolutional neural network for crack detection in smart cities
Author:
Affiliation:
1. Dongguan University of Technology,Dongguan,China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Guangdong Province
Dongguan University of Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10475889/10475881/10476066.pdf?arnumber=10476066
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1. Enabling technologies and sustainable smart cities
2. Locating Compromised Data Sources in IoT-Enabled Smart Cities: A Great-Alternative-Region-Based Approach
3. Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images
4. Pavement crack detection on geodesic shadow removal with local oriented filter on LOF and improved Level set
5. UAV-Aided trustworthy data collection in federated-WSN-enabled IoT applications
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