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Anomaly detection in network traffic can be significantly enhanced by a drift-aware wavelet denoising approach that adapts to changing signal conditions.
AURORA-AI recovers from black-swan events in a fraction of the time compared to traditional static resource allocation methods, while enhancing fairness and stability.