Supervised machine learning (ML) methods have been increasingly applied in the fault detection of components. However, they relied on the data set and data acquisition under faulty conditions, which ...

As large language models (LLMs) continue to demonstrate exceptional capabilities across various domains, the challenge of achieving energy-efficient and accurate inference becomes increasingly ...