Railway infrastructure maintenance efficiency improvement using deep reinforcement learning integrated with digital twin based on track geometry and component …
J Sresakoolchai, S Kaewunruen - Scientific reports, 2023 - nature.com
Railway maintenance is a complex and complicated task in the railway industry due to the
number of its components and relationships. Ineffective railway maintenance results in …
number of its components and relationships. Ineffective railway maintenance results in …
Railway track fault detection using selective MFCC features from acoustic data
Railway track faults may lead to railway accidents and cause human and financial loss.
Spatial, temporal, and weather elements, and wear and tear, lead to ballast, loose nuts …
Spatial, temporal, and weather elements, and wear and tear, lead to ballast, loose nuts …
Identification of railway subgrade defects based on ground penetrating radar
Z Hou, W Zhao, Y Yang - Scientific Reports, 2023 - nature.com
A recognition method is proposed to solve the problems in subgrade detection with ground
penetrating radar, such as massive data, time–frequency and difference in experience …
penetrating radar, such as massive data, time–frequency and difference in experience …
Blast Effects on Hyperloop's Cylindrical Thin-Shell Structures
S Kaewunruen, J Roxburgh, AM Remennikov - Machines, 2023 - mdpi.com
Super-high-speed guided systems such as hyperloops and MagLev are highly at risk of
cyber and physical threats from either natural or man-made hazards. This study thus adopts …
cyber and physical threats from either natural or man-made hazards. This study thus adopts …
Portfolio Construction Using Neural Networks and Multiobjective Optimization
In recent times, financial markets have been increasingly affected by significant volatility and
uncertainty. Given this backdrop, it is beneficial for investors to explore a broader range of …
uncertainty. Given this backdrop, it is beneficial for investors to explore a broader range of …