Computer Science
Deep Neural Network
100%
Deep Learning
82%
Convolutional Neural Network
76%
Feature Extraction
57%
Back End
46%
Network Architecture
34%
Learning Framework
31%
Data Augmentation
31%
Remote Sensing Image
29%
Deep Learning Model
26%
Light-Weight Deep Learning Model
25%
Image Classification
25%
Recurrent Neural Network
25%
Convolutional Layer
25%
Open Source
23%
Experimental Result
22%
Training Phase
19%
Art Performance
19%
Model Complexity
19%
Feature Vector
19%
Spectral Information
17%
Temporal Information
17%
Learning Systems
17%
Application Specific Integrated Circuit
15%
Classification Models
14%
build-in self-test
12%
Activation Function
12%
Static Random Access Memory
12%
Speech Recognition
12%
Input Frequency
12%
direction-of-arrival
12%
Artificial Neural Networks
12%
multiple signal classification
12%
Dynamic Performance
12%
Mel Frequency Cepstral Coefficient
12%
Multiobjective
12%
Process Approach
12%
Early Detection
12%
New-State
12%
Temporal Dynamic
12%
Event Detection
12%
visualization method
12%
Temporal Extent
12%
Single Network
12%
Deep Feature
12%
Reconnaissance
12%
Comparative Analysis
12%
remote sensing imagery
12%
U-Net
12%
Neural Network
12%
Engineering
Spectrogram
59%
Deep Learning
51%
Front End
27%
Feature Extraction
23%
Convolutional Neural Network
12%
Feature Model
12%
Uniform Linear Array
12%
Direction-of-Arrival Estimation
12%
Speech Enhancement
12%
Battery Charger
12%
Image Classification
12%
Early Detection
12%
Activation Function
12%
Sensing Imagery
12%
Deep Neural Network
12%
Convolutional Layer
12%
Life Prediction
12%
Linear Unit
12%
Optical Frequency
12%
Tasks
10%
Classification Algorithm
8%
Event Detection
8%
Metro
8%
Conducted Experiment
8%
End Process
6%
Multistage
6%
Multi-Head Attention
6%
Inference Process
6%
Loss Function
6%
Input Image
6%
Learning Technique
6%
Engineering
6%
