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Found 4 papers, 1 papers with code
Toward Compact Deep Neural Networks via Energy-Aware Pruning
Despite the remarkable performance, modern deep neural networks are inevitably accompanied by a significant amount of computational cost for learning and deployment, which may be incompatible with their usage on edge devices.
Gradual Relation Network: Decoding Intuitive Upper Extremity Movement Imaginations Based on Few-Shot EEG Learning
In a real-time BCI environment, a calibration procedure is particularly necessary for each user and each session.
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining
Brain-computer interface (BCI) decodes brain signals to understand user intention and status.
Classification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural network
A brain-computer interface (BCI) provides a direct communication pathway between user and external devices.
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