Railroad Track Defect Detection using Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Railroad Track Defect Detection using Convolutional Neural Networks

Published:2023-05-26 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference for Emerging Technology (INCET)
language:
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Author:

Nandan T.P. Kausalya¹,Rahul Tammugonda¹,Bhavani G. Ganga¹,Narsimha Karnati¹

Affiliation:

1. B V Raju Institute of Technology,Department of ECE,Medak,Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10169136/10169900/10170140.pdf?arnumber=10170140

Reference23 articles.

1. Defect Detection inside a Rail Head by Ultrasonic Guided Waves;xie;Symmetry,2022

2. Railway Track Fault Detection;hossain;Kaggle,2021

3. A Review On IOT Based Railway Track Crack Detection with Live Video Streaming;chaudhari;international journal of engineering science and innovation,2019

4. Development of a Railroad Track Inspection System Based on Visual Perception using LabVIEW;srinivasan;Journal of Mechanics,2020

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