Abstract: sEMG pattern recognition algorithms have been explored extensively in decoding movement intent, yet are known to be vulnerable to changing recording conditions, exhibiting significant drops ...
Abstract: When handling datasets with class imbalance where there is a significant disparity in the distribution of class labels, traditional classification techniques are often biased towards the ...
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