AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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CMR-Mamba is proposed, which trains per domain Mamba state-space encoders on healthy data and offers an interpretable and consistently competitive approach to coupling-fault detection across mechanical, hydraulic and cyber-physical systems.
An adversarial inverse reinforcement learning (AIRL) framework that treats MFD as an offline IRL problem, and is the only method achieving non-saturated post-detection consistency across all datasets, while CB baselines fail to detect gradual degradation and reconstruction models collapse into always-anomalous states.
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