A review of distributed acoustic sensing applications for railroad condition monitoring MA Rahman, H Taheri, F Dababneh, SS Karganroudi, S Arhamnamazi Mechanical Systems and Signal Processing 208, 110983, 2024 | 12 | 2024 |
Deep Learning Model for Railroad Structural Health Monitoring via Distributed Acoustic Sensing MA Rahman, H Taheri, J Kim 2023 26th ACIS International Winter Conference on Software Engineering …, 2023 | 9 | 2023 |
Remote Condition Monitoring of Rail tracks using Distributed Acoustic Sensing (DAS): A Deep CNN-LSTM-SW based Model MA Rahman, S Jamal, H Taheri Green Energy and Intelligent Transportation, 2024 | 6 | 2024 |
Railroad condition monitoring with distributed acoustic sensing: an investigation of deep learning methods for condition detection MA Rahman, J Kim, F Dababneh, H Taheri Journal of Applied Remote Sensing 16512, 1, 2024 | 3 | 2024 |
Numerical Study of Distributed Acoustic Sensing (DAS) for Railway Condition Monitoring M Jones, MA Rahman, M Taheri, H Taheri ASME International Mechanical Engineering Congress and Exposition 87608 …, 2024 | 2 | 2024 |
In situ process monitoring of multi-layer deposition in wire arc additive manufacturing (WAAM) process with acoustic data analysis and machine learning MA Rahman, S Jamal, MV Cruz, B Silwal, H Taheri The International Journal of Advanced Manufacturing Technology, 1-15, 2024 | 1 | 2024 |
A Deep LSTM-Sliding Window Model for Real-Time Monitoring of Railroad Conditions Using Distributed Acoustic Sensing (DAS) MA Rahman, S Jamal, H Taheri 2024 Joint Rail Conference, 2024 | | 2024 |
Railroad Condition Monitoring Using Distributed Acoustic Sensing and Deep Learning Techniques MA Rahman | | 2024 |