An Intelligent Method for Train Accident Prevention and Detection Using ResNet and Long Short-Term Memory Network-Reference-Cited by-同舟云学术

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An Intelligent Method for Train Accident Prevention and Detection Using ResNet and Long Short-Term Memory Network

Published:2023-10-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
language:
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Author:

Jeyaselvi M.¹,Kavitha V.²,Kalaiarasi S.³,Sekhar Savanam Chandra⁴,Girdharwal Nitin⁵,K Sindhu⁶

Affiliation:

1. SRM Institute of Science and Technology,Department of Networking and Communications,Kattankulathur, Chennai,India

2. Vardhaman College of Engineering,Department of Mathematics,Hyderabad,India

3. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of Data Science,Chennai

4. Koneru Lakshmaiah Education Foundation, KL University,Department of BBA,Vijayawada,Telangana,India

5. Prestige Institute of Management & Research (PIMR),Faculty of Management,Indore,India

6. M.Kumarasamy College of Engineering,Master of Computer Applications,Karur,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330805/10331621/10331719.pdf?arnumber=10331719

Reference24 articles.

1. Automation of Railway Gate Control Using Microcontroller;Atul Kumar Dewangan;Int. J. Eng. Res. Technol.,2012

2. Automated unmanned railway level crossing system;Banuchandar;Int. J. Mod. Eng. Res.,2012

3. Real time detection system for rail surface defects based on machine vision

4. A New Computer Vision Based Method for Rail Track Detection and Fault Diagnosis in Railways

5. Computer vision–based automatic rod-insulator defect detection in high-speed railway catenary system

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