A temporal spectral noise-floor adaptation algorithm enables reliable event triggering in IoT mesh networks by suppressing nuisance triggers from environmental non-stationarity while preserving sensitivity to true signals.
An unsupervised TinyML approach applied to the detection of urban noise anomalies under the smart cities environment
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Temporal Spectral Noise-Floor Adaptation for Error-Intolerant Trigger Integrity in IoT Mesh Networks
A temporal spectral noise-floor adaptation algorithm enables reliable event triggering in IoT mesh networks by suppressing nuisance triggers from environmental non-stationarity while preserving sensitivity to true signals.