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Fernando García

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Open access Jul 2026

ULSTM: Multi-Scale and Full-Level Temporal Consistency for Traffic Anomaly Detection

Experimental results demonstrate that the ULSTM framework significantly outperforms frame-independent generative models by suppressing high-frequency reconstruction noise, providing a robust solution for real-world smart city deployments.

Borja Pérez, Mario Resino, Jaime Godoy et al. · 0 citations