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

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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:

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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