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cusum

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Calibrated simulation and detectors for MES-embedded carbon-intensity monitoring of energy anomalies in machining-style processes. Characterizes the adaptive-baseline inertia blind spot and proposes an event-anchored + residual-CUSUM detector that closes it. Reproducible: code, raw sweep data, and figure scripts.

  • Updated Jun 16, 2026
  • Python

A robust Federated Learning framework implementing the novel FedCADS-UCB algorithm. Engineered for resilient client selection using CUSUM drift detection, adaptive multi-armed bandits, and hierarchical clustering to maintain high accuracy (>95%) during concept drift and label poisoning attacks.

  • Updated Jun 28, 2026
  • Python

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