A Cognitive Rail Track Breakage Detection System Using Artificial Neural Network

A Cognitive Rail Track Breakage Detection System Using Artificial Neural Network

Rail track breakages represent broken structures consisting of rail track on the railroad. The traditional methods for detecting this problem have proven unproductive. The safe operation of rail transportation needs to be frequently monitored because of the level of trust people have in it and to en...

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Bibliographic Details
Main Authors: Vincent Olufunke Rebecca, Babalola Yetunde Ebunoluwa, Sodiya Adesina Simon, Adeniran Olusola John
Format: Article
Language:English
Published: Sciendo 2021-12-01
Series:Applied Computer Systems
Subjects:
deep learning
fully convolutional neural network
rail track breakage
u-net architecture
Online Access:https://doi.org/10.2478/acss-2021-0010

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