Deep Learning for Automatic Railway Maintenance
Data Sources and Research Models for Turnouts
Statistical Approach to Model Track Dynamics Towards the Monitoring of Railway Turnouts
Improving Switches and Crossings Performance and Reliability
Monitoring of Switches and Crossings/Tracks Using Smart Sensors
CoMPAcT-Data Based Condition Monitoring and Prediction Analytics for Turnouts
Modelling of the Dynamic Train-Track-Substructure Interaction for Track Monitoring
Automatic Detection of Rail Defects from Images
Metallurgical Investigation of Crossing Noses
Ways to Improve the Performance (And Cost) of Switches
The Organic Growth of an Asset Management System at ProRail
Labelling the State of Railway Turnouts Based on Repair Records
Damage and Microstructure Evolution in Cast Hadfield Steels Used in Railway Crossings
Intelligent quality assessment of railway switches and crossings
The Effects of Renewal and Tamping on Ballast and Track Geometry in Turnouts