AirNet: A calibration model for low-cost air monitoring sensors using dual sequence encoder networks

Keyphrases

• Monitoring System 100%
• Air Monitoring 100%
• Mobile Station 100%
• Calibration Model 100%
• Encoder Networks 100%
• Dual Sequences 100%
• Sequence Encoders 100%
• Air Pollution Monitoring 50%
• Trend Feature 50%
• Spatial Distribution 25%
• Data-driven Model 25%
• Regression Problem 25%
• Neural Network 25%
• Deep Neural Network 25%
• Mapping Problem 25%
• Historical Data 25%
• Decoder 25%
• Effective Solutions 25%
• Guidance Mechanism 25%
• Social Base 25%
• Atmospheric Pollution 25%
• Dual Encoder 25%
• High-resolution Monitoring 25%
• Periodic Feature 25%
• Calibration Task 25%
• Sequence-to-point 25%
• Point Mapping 25%
• Adjacent Feature 25%
• Pollution Measurement 25%

Engineering

• Mobile Station 100%
• Monitoring Sensor 100%
• Air Pollution 50%
• High Resolution 25%
• Spatial Distribution 25%
• Experimental Result 25%
• Deep Neural Network 25%
• Historical Data 25%
• Effective Solution 25%
• Data Sequence 25%
• Calibration Task 25%

Computer Science

• Mobile Station 100%
• Calibration Model 100%
• Air Pollution 50%
• Regression Problem 25%
• Deep Neural Network 25%
• Neural Network 25%
• Experimental Result 25%
• Traditional Method 25%
• Historical Data 25%
• Effective Solution 25%
• Spatial Distribution 25%