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A Cognitive Rail Track Breakage Detection System Using Artificial Neural Network Cover

A Cognitive Rail Track Breakage Detection System Using Artificial Neural Network

Applied Computer Systems
Volume 26 (2021): Issue 2 (December 2021)
By: Olufunke Rebecca Vincent,  Yetunde Ebunoluwa Babalola,  Adesina Simon Sodiya and  Olusola John Adeniran  
Open Access
|Dec 2021

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DOI: https://doi.org/10.2478/acss-2021-0010 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 80 - 86
Published on: Dec 30, 2021
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Deep learning,
fully convolutional neural network,
rail track breakage,
U-Net architecture
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2021 Olufunke Rebecca Vincent, Yetunde Ebunoluwa Babalola, Adesina Simon Sodiya, Olusola John Adeniran, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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