Abstract: Deep auto-encoders (AEs) are widely employed deep learning methods in the field of anomaly detection across diverse domains (e.g., cybersecurity analysts managing large volumes of alerts, or ...

Abstract: Integrating real-time data into digital twins using Discrete Event Simulation (DES) faces a fundamental challenge: the asynchronous, event-driven updates of DES conflict with the ...