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Linking Attention-Based Multiscale CNN With Dynamical GCN for Driving Fatigue Detection
Finally, the critical brain regions and connections for driving fatigue detection were investigated through the dynamically learned adjacency matrix. Index Terms— Attention-based multiscale convolutional neural network (CNN), driving fatigue, dynamical graph convolution network (GCN), electroencephalography (EEG), spatiotemporalstructure.
A Tutorial on Graph Theory for Brain Signal Analysis
Finally, the notion of signals residing on a given graph is introduced and elements from the emerging field of graph signal processing (GSP) are provided.
Multi-Kernel Capsule Network for Schizophrenia Identification
Methods: To overcome the aforementioned drawbacks, we proposed a multi-kernel capsule network (MKCapsnet), which was developed by considering the brain anatomical structure.
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