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.
By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...
Abstract: Sign language recognition (SLR) plays a critical role in overcoming communication barriers for deaf and hard-of-hearing individuals. This study presents a vision-based SLR system that ...
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