3 papers
cs.HC2025
Optimized User Experience for Labeling Systems for Predictive Maintenance Applications (Extended)
Michelle Hallmann, Michael Stern, Juliane Henning +4
The maintenance of rail vehicles and infrastructure plays a critical role in reducing delays, preventing malfunctions, and ensuring the economic efficiency of rail transportation c…
cs.HC2025
Optimizing Predictive Maintenance: Enhanced AI and Backend Integration
Michael Stern, Michelle Hallmann, Francesco Vona +4
Rail transportation success depends on efficient maintenance to avoid delays and malfunctions, particularly in rural areas with limited resources. We propose a cost-effective wirel…
cs.HC2025
Optimized User Experience for Labeling Systems for Predictive Maintenance Applications
Michelle Hallmann, Michael Stern, Francesco Vona +4
This paper presents the design and implementation of a graphical labeling user interface for a monitoring and predictive maintenance system for trains and rail infrastructure in a…