Abstract: Unsupervised anomaly detection (UAD) aims to recognize anomalous images based on the training set that contains only normal images. In medical image analysis, UAD benefits from leveraging ...
Abstract: Instantaneous angular speed (IAS) signals are widely used in motor control and fault detection. However, incremental optical encoders inevitably suffer from engraving and subdivision errors ...
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