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.
Abstract: In this paper, Facial Emotion detection model, built using Uniform Local Binary Pattern, is explained using an application i.e., Student behavior detection. Student engagement is a critical ...
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