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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 13 | Issue 11 | Month- November 2025
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Published Paper Details:
Paper Title
Rail Tracks Defect Detection Using Deep Learning: A Review
Authors
Gourav, Ruchi Patira
Keywords
Deep Learning, Artificial Intelligence, Accident, Neural Networks
Abstract
The safety and efficiency of railway transportation depend significantly on the integrity of rail tracks. Traditional methods of rail track defect detection are often time-consuming and prone to errors. With advancements in artificial intelligence, deep learning techniques have emerged as a powerful tool for automating defect detection, improving accuracy, and reducing maintenance costs. This paper presents a comprehensive review of deep learning-based approaches for rail track defect detection, highlighting various methodologies, datasets, and challenges in the field. Furthermore, it discusses real-world applications, potential improvements, and future research directions to enhance railway monitoring systems.
IJCRT's Publication Details
Unique Identification Number - IJCRT2504055
Paper ID - 281228
Page Number(s) - a444-a447
Pubished in - Volume 13 | Issue 4 | April 2025
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Gourav, Ruchi Patira, "Rail Tracks Defect Detection Using Deep Learning: A Review", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.a444-a447, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT2504055.pdf
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Volume 13 | Issue 11
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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