P Aela, J Cai, G Jing, HL Chi - Construction and Building Materials, 2024 - Elsevier
The computer vision-based analysis of railway superstructure has gained significant attention in railway engineering. This approach utilises advanced image processing and …
D Shah, H Isah, F Zulkernine - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Stock market forecasting is very important in the planning of business activities. Stock price prediction has attracted many researchers in multiple disciplines including computer …
J Wang, K Song, D Zhang, M Niu… - IEEE/ASME Transactions …, 2022 - ieeexplore.ieee.org
Surface defect inspection of no-service rail is important for safety of railway transportation. However, there are several challenges of irregular defect boundary, similar foreground and …
A Kumar, SP Harsha - International Journal of Transportation Science and …, 2024 - Elsevier
Train rolling stock and track inspections are necessary for the safe operation of the train. For this reason, a regular inspection of defects is required for the train rolling stock. The …
W Zhou, J Hong, X Ran, W Yan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Owing to the development of convolutional neural networks (CNNs), the detection of defects on rail surfaces has significantly improved. Although existing methods achieve good results …
Railway track monitoring is a challenging task to avoid railway accidents due to track failures. There are lot many issues involved in the railway accidents but the major …
Y Min, Z Wang, Y Liu, Z Wang - Sensors, 2023 - mdpi.com
As an important component of the railway system, the surface damage that occurs on the rails due to daily operations can pose significant safety hazards. This paper proposes a …
Z Liu, AD Koffman, BC Waltrip… - Journal of research of the …, 2013 - ncbi.nlm.nih.gov
AC bridge techniques commonly used for precision impedance measurements have been adapted to develop an eddy current sensor for rail defect detection. By using two detection …