Abstract: This letter addresses the problem of estimating block sparse signal with unknown group partitions in a multiple measurement vector (MMV) setup. We propose a Bayesian framework by applying an ...
Abstract: GNN-based anomaly detection is one of the most critical security strategies protecting industrial control systems (ICSs) from external attacks. Existing studies mainly focus on how to ...
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