What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...
Abstract: Transfer learning from pre-trained encoders has become essential in modern machine learning, enabling efficient model adaptation across diverse tasks. However, this combination of ...
Abstract: We propose a novel multi-resolution time-frequency fusion framework for real-time classification of surface electromyography (sEMG) signals. The system jointly encodes Continuous Wavelet ...
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