IEEE

UNet-Based End-to-End Anomaly Detection With Computational Hyperspectral Imaging

Abstract: Most existing hyperspectral anomaly detection methods are developed and validated on numerical datasets, focusing on simulations rather than practical applications. To bridge this gap, we ...
IEEE

Zero-shot GOOSE Anomaly Detection via Multi-gate Mixture-of-Experts with Pre-Trained Large Language Model

Abstract: Detecting anomalies in smart grids is vital to safeguarding systems from attacks and failures. As critical components in IEC 61850-based substation communication, Generic Object-Oriented ...