Research on Anomaly Detection Model Based on Time Series
Robust anomaly detection in time series remains challenging because sparse abnormal observations, noise contamination, nonlinear dynamics, and long-range temporal dependencies can obscure deviation patterns. This paper proposes the SALK anomaly detection model, which integrates an attention-enhanced long short-term mem...