Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations

Neural Oscillators for Generalization of Physics-Informed Machine Learning

Condition monitoring of railway transition zones using acceleration measurements on multiple axle boxes: Case studies in the Netherlands, Sweden, and Norway

Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems

Rail wear rate on the Belgian railway network: a big-data analysis

Intelligent Data Fusion for Anomaly Detection in Dutch Railway Catenary Condition Monitoring

Ground vibration induced by high speed trains on an embankment with pile-board foundation: Modelling and validation with in situ tests

Predicting traction return current in electric railway systems through physics-informed neural networks

A Bayesian Network Approach for Condition Monitoring of High-Speed Railway Catenaries

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

A condition-based maintenance methodology for rails in regional railway networks using evolutionary multiobjective optimization: Case study line Braşov to Zărneşti in Romania

Analysis of the evolvement of contact wire wear irregularity in railway catenary based on historical data

Identification of the catenary structure wavelength using pantograph head acceleration measurements

Intelligent condition monitoring of railway catenary systems: A Bayesian Network approach

Ensemble EMD-based automatic extraction of the catenary structure wavelength from the pantograph-catenary contact corce

Improvement of train-track interaction in transition zones via reduction of ballast damage