2024
Real-Time Anomaly Detection in IoT Streams Using Graph Neural Networks
Published in: ACM Transactions on Sensor Networks
Co-Authors
Omar Al-Zahra, Layla Karim
Insight
Proposes a graph neural network architecture for detecting anomalies in IoT data streams with sub-second latency, validated on real-world smart city deployments.
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