A Multi-Scale Time-Series Anomaly Detection Approach for Modeling the Time-Lagged Effects of Exogenous Variables
Anomaly detection is essential for maintaining the stable operation of the Industrial Internet of Things (IIoT) and cyber-physical systems (CPS). Similar reliability requirements also arise in energy-aware computing environments, where workload variation, cooling policies, and resource-management decisions may affect s...