Abstract: Digital twins offer a promising solution to the lack of sufficient labeled data in deep learning-based fault diagnosis by generating simulated data for model training. However, discrepancies ...
Abstract: Superconducting electronic devices are considered a compelling candidate for designing neuromorphic hardware due to their similar behavioral characteristics. Previous works have shown high ...