Browsing by Subject "ConvLSTM model"
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Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification
(Brac University, 2024-05)In this thesis, for classification of sleep stages, we use deep learning techniques with the help of data from fMRI and EEG. The ConvLSTM models are applied for the fMRI data. The data for the EEG is worked on with the ...