The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Abstract: Anomaly detection is valuable for real-world applications, such as industrial quality inspection. However, most approaches focus on detecting local structural anomalies while neglecting ...

Abstract: Anomaly detection for time-series data has been viewed widely in many practical applications and caused lots of research interests. A popular solution based on deep learning techniques is ...

The electrification of transport is transforming not only how vehicles operate but how energy systems are managed. Modern EV ...