Abstract: Deep learning algorithms have become a trending approach for transformer fault diagnosis. However, challenges such as data imbalance leading to poor model learning performance and ...
Abstract: In recent years, supervised skeleton-based action recognition has achieved notable results. However, these methods rely on labeled data, which is both resource-intensive and time-demanding ...
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