Non-destructive Bridge Pavement Detection Using Impact Sound and Convolutional Neural Network-Reference-Cited by-同舟云学术

Non-destructive Bridge Pavement Detection Using Impact Sound and Convolutional Neural Network

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence - ICCAI '19
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Author:

Sarmiento Jeffrey S.¹,Rosales Cristina Amor M.²,Fajardo Arnel C.³

Affiliation:

1. Technological Institute of the Philippines, Quezon City, Philippines

2. Batangas State University, Batangas City, Philippines

3. Manuel L Quezon University, Quezon City, Phillipines

Funder

Batangas State University

Publisher

ACM Press

Reference19 articles.

1. Aouad, M. F., Stokoe II, K. H., &Roesset, J. M. 1993. Evaluation of Flexible Pavements and Subgrades using The Spectral-Analysis-of-Surface-Waves (SASW) Method, Report No. FHWA/TX-95+ 1175-7F, 7(2), 247. Retrieved from http://library.ctr.utexas.edu/digitized/texasarchive/phase2/1175-7f.pdf

2. Chen, W.-F., &Duan, L. (2013). Bridge Engineering Handbook. Superstructure Design, 734.

3. Clemena, G.G. and McKeel, W.T., Detection of Delamination in Bridge Decks with infrared thermography. Transportation Research Record, 1978 (664): pp. 180--182

4. Convolutional Network for Visual Recognition. [Online]. Available: http://cs231n.github.io/convolutional-networks/. [Accessed 12 October 2017].

5. EAPA. 2013. Asphalt Pavements on Bridge Deck

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