Abstract: Traditional linear scaling artificial neural network (ANN)-based compact models face significant challenges in achieving high accuracy for device modeling. To overcome this limitation, a ...
Abstract: Electroencephalography (EEG) signals are often contaminated by electromyography (EMG) and electrooculography (EOG). Accurate EEG denoising is crucial for downstream applications in ...
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