Low-Power, Neuromorphic, Acoustic Anomaly Detection for Persistent Machine Monitoring
The results support neuromorphic acoustic anomaly detection as a practical candidate for low-power, persistent machine monitoring and support autoencoder-based acoustic anomaly detection on an Intel Loihi 2 neuromorphic processor.
Steven C. Nesbit, Victor M. Vergara, Michael A. Felix et al.
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