Keyphrases
2D Convolutional Neural Network
25%
Brain Signals
25%
Brain-computer Interface
100%
Classification Accuracy
25%
Computation Time
25%
Computerized System
25%
Convolutional Neural Network
25%
Cross-subject
100%
Cross-subject Classification
25%
Deep Learning Methods
25%
EEGNet
100%
Electroencephalogram
100%
Electroencephalogram Data
25%
Electroencephalography
25%
Feature Extraction
25%
High Computational Cost
25%
Hyperparameters
25%
Motor Activity
25%
Motor Imagery Classification
100%
Motor Imagery Data
25%
Multi-branch
25%
Multi-branch Convolutional Neural Network
100%
Neural Activity
25%
Outer World
25%
Public Dataset
25%
Subject-independent
25%
Engineering
Brain Signal
33%
Brain-Computer Interface
33%
Classification Accuracy
33%
Computational Cost
33%
Computational Time
33%
Convolutional Neural Network
100%
Deep Learning Method
33%
Feature Extraction
33%
Learning Technique
33%
Motor Imagery
100%
Computer Science
Classification Accuracy
33%
Computational Cost
33%
Computational Time
33%
Convolutional Neural Network
100%
Deep Learning Technique
33%
Feature Extraction
33%
Leaning Parameter
33%
Motor Activity
33%
