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: Medicinal plant identification is essential for holistic treatment systems, where accurate taxonomy ensures the safe and effective use of therapeutic properties. However, traditional methods ...
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