Smart solutions for urban health risk assessment: A PM_2.5 monitoring system incorporating spatiotemporal long-short term graph convolutional network

Computer Science

• Graph Convolutional Network 100%
• Monitoring System 100%
• Network Monitoring 66%
• Mean Absolute Error 66%
• Case Study 33%
• Deep Learning Method 33%
• Smart City 33%
• Decision-Making 33%
• Prediction Performance 33%
• Spatial Relationship 33%
• Monitoring Quality 33%

Engineering

• Monitoring System 100%
• Particular Matter 2.5 100%
• Air Quality 80%
• Network Model 40%
• Mean Absolute Error 40%
• Deep Learning Method 20%
• Ambient Air 20%
• Measurement Time 20%
• Smart City 20%
• Prediction Performance 20%
• Early Warning System 20%

Earth and Planetary Sciences

• Monitoring System 100%
• Particular Matter 2.5 100%
• Air Quality 40%
• Time Series 40%
• Monitoring Network 40%
• State of the Art 20%
• South Korea 20%
• Decision Making 20%
• Real Time 20%
• Smart City 20%
• Pollutant Concentration 20%