CrackU‐net: A novel deep convolutional neural network for pixelwise pavement crack detection-Reference-Cited by-同舟云学术

CrackU‐net: A novel deep convolutional neural network for pixelwise pavement crack detection

Published:2020-03-18 Issue:8 Volume:27 Page:
ISSN:1545-2255
Container-title:Structural Control and Health Monitoring
language:en
Short-container-title:Struct Control Health Monit

Author:

Huyan Ju¹,Li Wei²^ORCID,Tighe Susan¹,Xu Zhengchao²,Zhai Junzhi²

Affiliation:

1. Centre for Pavement and Transportation Technology (CPATT), Department of Civil and Environmental EngineeringUniversity of Waterloo Waterloo Ontario Canada

2. School of Information EngineeringChang'an University Xi'an Shaanxi China

Funder

Natural Science Foundation of Shaanxi Province

Publisher

Wiley

Subject

Mechanics of Materials,Building and Construction,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/stc.2551

Reference40 articles.

1. Benchmark structural control problem for a seismically excited highway bridge-Part II: Phase I Sample control designs

2. Structural control with regenerative force actuation networks

3. Sensor network paradigms for structural health monitoring

4. Health monitoring for strongly non-linear systems using the Ensemble Kalman filter

5. Efficient model updating and health monitoring methodology using incomplete modal data without mode matching

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