Developing a new deep learning CNN model to detect and classify highway cracks

Elghaish, F, Talebi, S, Abdellatef, E, Matarneh, ST, Hosseini, Mohammad, Wu, S, Mayouf, M, Hajirasouli, A and Nguyen, TQ 2021, Developing a new deep learning CNN model to detect and classify highway cracks, Journal of Engineering, Design and Technology, pp. 1-22, doi: 10.1108/JEDT-04-2021-0192.

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Title Developing a new deep learning CNN model to detect and classify highway cracks
Author(s) Elghaish, F
Talebi, S
Abdellatef, E
Matarneh, ST
Hosseini, MohammadORCID iD for Hosseini, Mohammad orcid.org/0000-0001-8675-736X
Wu, S
Mayouf, M
Hajirasouli, A
Nguyen, TQ
Journal name Journal of Engineering, Design and Technology
Start page 1
End page 22
Total pages 22
Publisher Emerald
Place of publication Bingley, Eng.
Publication date 2021
ISSN 1726-0531
Keyword(s) Science & Technology
Technology
Engineering, Multidisciplinary
Engineering
Deep learning
Classify
Highway cracks
Optimization algorithms
Convolutional neural network (CNN)
DAMAGE DETECTION
CONCRETE
INSPECTION
ENERGY
REBAR
Notes Ahead of Print Article
Language eng
DOI 10.1108/JEDT-04-2021-0192
Indigenous content off
Field of Research 09 Engineering
12 Built Environment and Design
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30154864

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