Unsupervised Deep Learning for Road Crack Classification by Fusing Convolutional Neural Network and K_Means Clustering-Reference-Cited by-同舟云学术

Unsupervised Deep Learning for Road Crack Classification by Fusing Convolutional Neural Network and K_Means Clustering

Published:2021-12 Issue:4 Volume:147 Page:
ISSN:2573-5438
Container-title:Journal of Transportation Engineering, Part B: Pavements
language:en
Short-container-title:J. Transp. Eng., Part B: Pavements

Author:

Li Wei¹,Huyan Ju²,Gao Rong³,Hao Xueli⁴,Hu Yuanjiao³,Zhang Yingjie⁵

Affiliation:

1. Professor, School of Information Engineering, Chang’An Univ., Xi’an, Shaanxi 710064, People’s Republic of China.

2. Associate Professor, School of Transportation, Southeast Univ., Southeast University Rd., Jiangning District, Nanjing 211189, People’s Republic of China (corresponding author).

3. Ph.D. Candidate, School of Information Engineering, Chang’An Univ., Xi’an, Shaanxi 710064, People’s Republic of China.

4. Associate Researcher, School of Information Engineering, Chang’An Univ., Xi’an, Shaanxi 710064, People’s Republic of China.

5. Master Student, School of Information Engineering, Chang’An Univ., Xi’an, Shaanxi 710064, People’s Republic of China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/JPEODX.0000322

Reference44 articles.

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3. Development of maintenance decision model for flexible pavements

4. Sustainable Pavements

5. Bergstra J. O. Breuleux F. Bastien P. Lamblin R. Pascanu G. Desjardins J. Turian D. Warde-Farley and Y. Bengio. 2010. “Theano: A CPU and GPU math expression compiler.” In Proc. Python for Scientific Computing Conf. (SciPy). Austin TX: SciPy.

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