Keyphrases
Machine Learning
100%
High Performance
100%
Air Pollution
100%
Air Quality Inference
100%
Performance Map
100%
Mobile Sampling
100%
Mobile Data
66%
Fixed Data
66%
Time Coverage
66%
Chengdu
33%
Space-time Model
33%
Urban Air Pollution
33%
High Temporal Resolution
33%
Multi-source
33%
Learning Model
33%
Land Use
33%
Meteorology
33%
Distribution-based
33%
Economic Factors
33%
Air Quality
33%
Measure Data
33%
Modeling Capability
33%
Tree-based
33%
Sensitivity Analysis
33%
Urban Management
33%
Model Performance
33%
Pollutant Concentration
33%
Mobile Sensors
33%
Atmospheric Environment
33%
Model Trust
33%
Grid Level
33%
Performance Space
33%
Sustainable Method
33%
PM2.5 Distribution
33%
Urban Features
33%
R-square
33%
Sample Coverage
33%
Multicascade
33%
Fixed Sensors
33%
Operational Factors
33%
Sparse Measurements
33%
Symmetric Means
33%
Mean Percentage Error
33%
Pollutants Measurement
33%
Space-time Resolution
33%
Sample Quality
33%
Pollution Maps
33%
Engineering
Air Pollution
100%
Learning System
100%
Air Quality
100%
Performance Map
100%
Experimental Result
25%
Particular Matter 2.5
25%
Temporal Resolution
25%
Measurement Data
25%
Land Use
25%
Detailed Evaluation
25%
Learning Time
25%
Mobile Sensor
25%
Performance Space
25%
Computer Science
Machine Learning
100%
Learning System
100%
Air Pollution
100%
Experimental Result
33%
Case Study
33%
Performance Model
33%
Measurement Data
33%
Temporal Resolution
33%
Time Resolution
33%
Mobile Sensor
33%
Earth and Planetary Sciences
Air Pollution
100%
Air Quality
100%
Machine Learning
100%
Urban Air Pollution
25%
Atmospherics
25%
Particular Matter 2.5
25%
Land Use
25%
Urban Management
25%
Pollutant Concentration
25%
Space-Time Modeling
25%