Abstract: Drawing insights from Large Language Models, researchers have developed several Large Electroencephalogram (EEG) models (LEMs) to learn a generalized representation adaptable to various ...
Abstract: Here, we propose a hybrid Deep Learning (DL) framework consisting of a Denoising Autoencoder (DAE), Convolutional Neural Network (CNN), Bidirectional LSTM (BiLSTM), and a custom Attention ...
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