Keyphrases
Automated Diagnosis
100%
Epilepsy Diagnosis
100%
Electroencephalography
66%
Classification Accuracy
33%
Mean Standard Deviation
33%
Complex-valued Neural Networks
33%
Feature-based
33%
Feature Vector
33%
Size Reduction
33%
Accurate Classification
33%
Method Validation
33%
Median Value
33%
Signal Base
33%
Minimum Value
33%
Wavelet Transformation
33%
K-fold Cross-validation
33%
Electroencephalography Data
33%
Classification System
33%
Statistical Measurement
33%
Granularity Level
33%
Dual-tree Complex Wavelet Transform (DT-CWT)
33%
Arithmetic Mean
33%
Accuracy Rate
33%
Computer Science
Neural Network
100%
Classification Accuracy
100%
Subsequent Phase
100%
Feature Vector
100%
Granularity
100%
wavelet transformation
100%
Fold Cross Validation
100%
Input Dimension
100%
Complex Wavelet
100%
Engineering
Granularity
100%
Size Reduction
100%
Feature Vector
100%
Complex Wavelet
100%
Classification Accuracy
100%
Neuroscience
Electroencephalography
100%
Neural Network
33%