Optimising Deep Learning at the Edge for Accurate Hourly Air Quality Prediction

Engineering

• Air Quality 100%
• Deep Learning 100%
• Quantization 75%
• Particular Matter 2.5 50%
• Sensor Data 25%
• Convolutional Neural Network 25%
• Location Sensor 25%
• File Size 25%
• Execution Time 25%
• Size Reduction 25%
• Long Short-Term Memory 25%

Keyphrases

• Air Quality Prediction 100%
• Raspberry Pi 3B+ 60%
• Raspberry Pi 4 Model B 60%
• Hybrid Deep Learning Model 40%
• Pollutant Prediction 20%
• Constrained Edge 20%
• Integer Quantization 20%
• Location Sensor 20%
• File Size 20%
• Post-training Quantization 20%

Chemical Engineering

• Deep Learning 100%
• Particular Matter 2.5 50%
• Neural Network 25%
• Learning System 25%
• Long Short-Term Memory 25%