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U. Odyurt

Improving the Robustness of Industrial Cyber-Physical Systems through Machine Learning-Based Performance Anomaly Identification
A data-centric approach towards identification and prediction of anomalies in industrial cyber-physical systems
Power passports for fault tolerance: Anomaly detection in industrial CPS using electrical EFB
The Choice of AI Matters: Alternative Machine Learning Approaches for CPS Anomalies
An Analytics-Based Method for Performance Anomaly Classification in Cyber-Physical Systems
Software Passports for Automated Performance Anomaly Detection of Cyber-Physical Systems
On the Effectiveness of Communication-Centric Modelling of Complex Embedded Systems
Work-in-Progress: Communication-Centric Analysis of Complex Embedded Computing Systems