Computer Science
Deep Neural Network
100%
Deep Learning Method
88%
Convolutional Neural Network
86%
Feature Extraction
57%
Back End
47%
Learning Framework
38%
Recurrent Neural Network
35%
Convolutional Layer
32%
Event Detection
27%
Data Augmentation
27%
Network Architecture
27%
Remote Sensing Image
23%
Classification Accuracy
22%
Light-Weight Deep Learning Model
20%
U-Net
20%
Open Source
18%
Classification Task
18%
Neural Network Architecture
18%
Experimental Result
18%
Neural Network
16%
Learning System
16%
Feature Map
16%
Training Phase
15%
Art Performance
15%
Model Complexity
15%
Feature Vector
15%
direction-of-arrival
15%
Spectral Information
13%
Temporal Information
13%
Application Specific Integrated Circuit
12%
Classification Models
11%
Performance Model
11%
Deep Learning Model
11%
Image Classification
10%
build-in self-test
10%
Activation Function
10%
Static Random Access Memory
10%
Input Frequency
10%
multiple signal classification
10%
Dynamic Performance
10%
Mel Frequency Cepstral Coefficient
10%
Multiobjective
10%
Early Detection
10%
New-State
10%
Temporal Dynamic
10%
visualization method
10%
Temporal Extent
10%
Single Network
10%
Deep Feature
10%
Reconnaissance
10%
Engineering
Deep Learning Method
67%
Deep Neural Network
61%
Spectrogram
57%
Convolutional Neural Network
47%
Feature Extraction
32%
Front End
28%
Convolutional Layer
20%
Linear Unit
18%
Input Image
15%
Feature Model
10%
Uniform Linear Array
10%
Direction-of-Arrival Estimation
10%
Speech Enhancement
10%
Battery Charger
10%
Image Classification
10%
Early Detection
10%
Activation Function
10%
Sensing Imagery
10%
Life Prediction
10%
Optical Frequency
10%
Multi-Head Attention
10%
Inference Process
10%
Loss Function
10%
Learning Technique
10%
Engineering
10%
Lithium Ion Battery
10%
Audio Signal
10%
Multimode
10%
Application Specific Integrated Circuit
10%
Dynamic Performance
10%
Neural Network Architecture
10%
Level Feature
10%
Classification Task
8%
Classification Algorithm
6%
Event Detection
6%
Metro
6%
Point Format
6%
Conducted Experiment
6%
Experimental Result
6%
Predictive Maintenance
6%
End Process
5%
Multistage
5%
Setting Time
5%
Power Supply
5%
