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Sara Vinco

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Open access Jul 2026

VARADE++: An Edge-Friendly Framework for Real-Time Anomaly Detection in Production Plants

This work introduces VARADE++, an edge-optimized anomaly detection framework designed to navigate the complex trade-offs between anomaly detection accuracy, inference speed, and computational efficiency, integrated into an advanced IoT infrastructure, enabling low-latency handling of intricate data streams.

Alessio Mascolini, Sebastiano Gaiardelli, Francesco Ponzio et al. · 0 citations

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