Transfer Learning for Anomaly Detection in Rotating Machinery Using Data-Driven Key Order Estimation
Abstract: The detection of anomalous behavior of an engineered system or its components is an important task for enhancing reliability, safety, and efficiency across various engineering applications.
If you decide to have a ‘big sleep’ in a meeting, fear not, a wearable could come to the rescue. Plaud has revealed its laudable ambitions with the ...
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