Keyphrases
Autoencoder
100%
Classification Accuracy
40%
Computer-aided Design
20%
Convolutional Neural Network
100%
Deep Learning Methods
20%
Deep Neural Network
60%
Deep Neural Network Classifier
40%
Detection Accuracy
60%
Detection Classification
20%
Direct Current Converter
20%
Explicit Aspects
20%
Fault Classification
100%
Fault Detection
100%
Feature Extraction
20%
Feature Subset Selection
20%
HVDC System
100%
Learning Methods
100%
Modular multilevel Converter
100%
Power System
20%
Softmax Classifier
80%
Ultra High Voltage Direct Current (UHVDC)
20%
Engineering
Classification Accuracy
40%
Convolutional Neural Network
100%
Deep Learning Method
20%
Deep Neural Network
100%
Fault Detection
100%
Feature Extraction
20%
High-Voltage Direct Current
20%
Modular Multilevel Converter
100%
Power system computer aided design
20%
Computer Science
Classification Accuracy
40%
Computer Aided Design
20%
Convolutional Neural Network
100%
Deep Learning Method
20%
Deep Neural Network
100%
Detection Accuracy
60%
Fault detection
100%
Feature Extraction
20%
Feature Subset Selection
20%
Earth and Planetary Sciences
Computer System
100%
Direct Current
100%
Fault detection
100%
Pattern Recognition
100%
Chemical Engineering
Deep Learning Method
20%
Deep Neural Network
100%
Feature Extraction
20%
Neural Network
100%
Pattern Recognition
20%