Have a personal or library account? Click to login
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

Metrics

DOI: https://doi.org/10.2478/acss-2021-0010 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
Journal RSS Feed
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.

Previous articleVolume 26 (2021): Issue 2 (December 2021)Next article