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Entropy-Based Local Irregularity Detection for High-Speed Railway Catenaries With Frequent Inspections.

, , , and . IEEE Trans. Instrum. Meas., 68 (10): 3536-3547 (2019)

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Physics-informed machine learning for moving load problems., , , and . CoRR, (2023)A multiple spiking neural network architecture based on fuzzy intervals for anomaly detection: a case study of rail defects., , , , , and . FUZZ-IEEE, page 1-8. IEEE, (2022)An Integrated Approach for Characterizing the Dynamic Behavior of the Wheel-Rail Interaction at Crossings., , , , and . IEEE Trans. Instrum. Meas., 67 (10): 2332-2344 (2018)Nationwide Railway Monitoring Using Satellite SAR Interferometry., , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (2): 596-604 (2017)Physics-informed neural networks for solving forward and inverse problems in complex beam systems., , , and . CoRR, (2023)Performance Assessment Metrics for Line-Infrastructure Monitoring with Multi-Sensor SAR Data., , and . IGARSS, page 4423-4426. IEEE, (2018)Axle box acceleration for health monitoring of insulated joints: A case study in the Netherlands., , , , , and . ITSC, page 822-827. IEEE, (2014)Neural Oscillators for Generalization of Physics-Informed Machine Learning., , , , , and . AAAI, page 13059-13067. AAAI Press, (2024)Monitoring Line-Infrastructure With Multisensor SAR Interferometry: Products and Performance Assessment Metrics., , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (5): 1593-1605 (2018)A Condition-Based Maintenance Methodology for Rails in Regional Railway Networks Using Evolutionary Multiobjective Optimization., , , , , , , and . CEC, page 1-7. IEEE, (2018)