Computer Science
User
100%
Detection
89%
Activity Recognition
85%
Attention (Machine Learning)
55%
Analysis Signal
53%
Interface System
52%
Recurrent Neural Network
50%
Human Activity Recognition
45%
Multimodality
41%
multi agent
35%
Sensitive Informations
35%
Modeling
29%
Semisupervised Learning
29%
Deep Learning Model
26%
Survey
26%
Human Activity
26%
Temporal Feature
24%
Intents
22%
Neural Architecture Search
22%
Transformations
21%
Mobile Sensor
20%
Baseline Approach
19%
Design Automation
17%
Representation Learning
17%
Deep Feature
17%
Human Computer Interaction
17%
Online Evaluation
17%
Deep Q-Network
17%
Information Leakage
17%
Data Integrity
17%
Query Engine
17%
Channels
17%
Deep Learning
14%
Speed-up
14%
External Control
14%
Recognition Performance
14%
Search Space
12%
Deep Reinforcement Learning
11%
Group Members
11%
Roles
11%
Superior Performance
10%
Storage Overhead
8%
Relationships
8%
Constrained Device
8%
Multiple Agents
8%
Future Direction
8%
Edge Computing
8%
Taxonomies
8%
Internet of Things
8%
Computation
8%
Engineering
Models
99%
Brain-Computer Interface
48%
Recurrent
37%
Experiments
28%
Green Supply Chain
25%
Dataset
22%
Recurrent Neural Network
19%
Mechanisms
19%
Green Product
17%
Global Horizontal Irradiance
17%
Lateral Growth
17%
Defects
17%
Selection Strategy
17%
Mobile Phone
17%
Low Carbon
17%
Party Logistics
17%
Optimal Decision
16%
Solar Energy
11%
Daily Basis
11%
Recovery
11%
Sensor
10%
Service Level
10%
High Accuracy
9%
Game Model
8%
Remanufacturing
8%
Nodes
8%
Demonstrates
8%
Codes
7%
Convolutional Neural Network
7%
Opposite Case
7%
Si System
5%
Selected Area Electron Diffraction
5%
Compressive Strain
5%
High Quality
5%
Growth Mechanism
5%
Raman Spectrum
5%
Substrates
5%
Si Interface
5%
Monitoring Device
5%
Sensing System
5%
Design
5%
Collected Data
5%
Soft Thresholding
5%
Average Error
5%
Smartphone
5%
