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A causal streaming anomaly detector achieves real-time performance on edge hardware while revealing that detection responsiveness is governed more by an event boundary gate than by the base decay rate.
IFGRVFL-MV achieves superior classification accuracy by effectively integrating intuitionistic fuzzy logic and graph embeddings, challenging traditional RVFL limitations.
Even MDS matrices, the gold standard for diffusion in cryptography, can harbor exploitable related-differential structures, undermining classical security arguments.
