INIS
accuracy
25%
architecture
25%
brain
50%
classification
25%
detection
25%
installation
25%
layers
25%
learning
100%
motors
25%
nervous system diseases
100%
neural networks
50%
performance
25%
populations
25%
sensitivity
25%
signals
100%
specificity
25%
Engineering
Convolutional Neural Network
100%
Deep Learning Method
100%
Learning Approach
100%
Motor Function
50%
Neural Network Architecture
50%
Neuroscience
Brain Abnormalities
25%
Electroencephalogram
100%
Neural Network
50%
Parkinson's Disease
100%
Chemical Engineering
Deep Learning Method
100%
Neural Network
100%
Biochemistry, Genetics and Molecular Biology
Electroencephalogram
100%
Motor Performance
33%
Normal Human
33%
Pharmacology, Toxicology and Pharmaceutical Science
Normal Human
25%
Parkinson's Disease
100%