Keyphrases
2D Image
50%
Brainwaves Classification
50%
Classification Accuracy
50%
Classification Approach
50%
Deep Convolutional Neural Network (deep CNN)
100%
EEG Brainwaves
50%
EEG Data
50%
EEG Signals
100%
Electroencephalography
50%
Grayscale Image
50%
Headband
50%
Image Classification
50%
Image Representation
100%
Information Gain
50%
Mental States
100%
Neutral State
50%
Number of Features
50%
Problem State
50%
Publicly Available
50%
Sample Classification
50%
Signal Base
100%
Statistical Features
100%
Subject of Experience
50%
Temporal Features
50%
Three-class
50%
Computer Science
Classification Accuracy
50%
classification approach
50%
Deep Convolutional Neural Networks
100%
Image Classification
50%
Image Representation
100%
Information Gain
50%
Sample Classification
50%
Statistical Feature
100%
Temporal Feature
50%
Engineering
Classification Accuracy
50%
Convolutional Neural Network
100%
Grayscale Image
50%
Image Classification
50%
Image Representation
100%
Information Gain
50%
Statistical Feature
100%
Neuroscience
Electroencephalogram
50%
Neural Network
100%