INIS
learning
100%
sensors
100%
units
60%
neural networks
60%
information
40%
comparative evaluations
40%
size
40%
accuracy
40%
testing
40%
algorithms
40%
randomness
40%
architecture
40%
forests
40%
humans
20%
efficiency
20%
applications
20%
prediction
20%
capacity
20%
computers
20%
processing
20%
diseases
20%
evaluation
20%
classification
20%
detection
20%
vectors
20%
images
20%
power
20%
datasets
20%
Computer Science
Convolutional Neural Network
100%
Long Short-Term Memory Network
100%
Gated Recurrent Unit
100%
Deep Learning Model
100%
Random Decision Forest
66%
Sensory Information
66%
Electrocardiography
66%
Deep Learning
33%
Human Activity Recognition
33%
Edge Computing
33%
Support Vector Machine
33%
Processing Power
33%
Transfer Learning
33%
Preprocessing Technique
33%
Processing Capacity
33%
Computability
33%
Prevent Disease
33%
Mathematics
Deep Learning
100%
Convolutional Neural Network
100%
Edge
33%
Null
33%
Support Vector Machine
33%
Edge Computing
33%
Randomforest
33%
Transfer Learning
33%
Prediction Algorithm
33%
Keyphrases
Efficient Deep Learning
100%
Electrocardiography Sensor
33%