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This paper proposes a bidirectional Mamba model for long-term behavioral evaluation to enhance trustworthy collaborator selection in distributed systems, demonstrating improved accuracy over baseline methods.
The paper proposes CMR-Mamba, a causal mechanism monitoring method using Mamba state-space models for unsupervised industrial fault detection, focusing on coupling faults and evaluated on electromechanical, hydraulic, and cyber-physical systems.