Abstract: Malicious insiders who possess system access and security expertise are notoriously difficult to detect and can inflict severe financial damage. While recent advances in deep learning have ...

Abstract: In industrial systems, early anomaly detection is important to ensure process reliability, minimizing downtime, and enabling predictive maintenance. This study proposes a Long Short-Term ...

Insomnia disorder (ID) is neurobiologically heterogeneous and often eludes characterization by traditional group-level neuroimaging. Subtyping based on neuroimaging and clinical data offers a ...