Keyphrases
Deep Learning Methods
100%
Long Short-term Memory
100%
Radar-based
100%
Human Activity Recognition
100%
Dynamic Time Warping
50%
Principal Coordinate Analysis (PCoA)
33%
Convolutional Variational Autoencoder
33%
Encoded Features
33%
Comparative Analysis
16%
Human Activities
16%
Distinctive Features
16%
Elderly People
16%
Feature Extraction Methods
16%
Regular Monitoring
16%
Convolutional Neural Network
16%
Dynamic Time Warping Algorithm
16%
Memory Strategies
16%
Gradient-based
16%
Doppler Radar
16%
Pixel Level
16%
Millimeter Wave
16%
Continuous Detection
16%
Convolutional Long Short-term Memory (ConvLSTM)
16%
Unsupervised Method
16%
Human Capabilities
16%
Age-related Problems
16%
Extraction pipeline
16%
Variational Principal
16%
Routine Tasks
16%
Supervised Feature Extraction
16%
Computer Science
Deep Learning Technique
100%
Long Short-Term Memory Network
100%
Human Activity Recognition
100%
Dynamic Time Warping
57%
Convolutional Neural Network
28%
Component Analysis
28%
Principal Components
28%
Autoencoder
28%
Feature Extraction
28%
Comparative Analysis
14%
Annotation
14%
Extracted Feature
14%
Memory Component
14%
Memory Strategy
14%
Unsupervised Method
14%
Engineering
Learning Technique
100%
Long Short-Term Memory
100%
Deep Learning Method
100%
Principal Components
28%
Component Analysis
28%
Feature Extraction
28%
Autoencoder
28%
Convolutional Neural Network
28%
Comparative Analysis
14%
Data Series
14%
Extracted Feature
14%
Doppler Radar
14%
Pixel Level
14%
Isolation Method
14%
Earth and Planetary Sciences
Pattern Recognition
100%
Principal Component Analysis
100%
State of the Art
50%
Doppler Radar
50%
Chemical Engineering
Long Short-Term Memory
100%
Deep Learning Method
100%
Neural Network
28%
Biochemistry, Genetics and Molecular Biology
Short Term Memory
100%
Principal Component Analysis
28%
Feature Extraction
28%