Predicting aviation non-volatile particulate matter emissions at cruise via convolutional neural network

Keyphrases

• Particulate Matter Emissions 100%
• Cruise 100%
• Aviation 100%
• Convolutional Neural Network 100%
• Non-volatile Particulate Matter 100%
• Sustainable Aviation Fuel 50%
• Emission Index 50%
• Aviation Emissions 50%
• Radiative Forcing 33%
• Convolutional Neural Network Model 33%
• Contrails 33%
• Neural Network Method 16%
• Prediction Accuracy 16%
• Human Health 16%
• Predictive Models 16%
• Measurement Results 16%
• Airport 16%
• High Altitude 16%
• Local Air Quality 16%
• Emission Inventory 16%
• Human Environment 16%
• Fuel Properties 16%
• Health Climate 16%
• Aircraft Engine 16%
• Particulate Pollution 16%
• In-use 16%
• Blended Fuel 16%
• Global Aviation 16%
• Health Environment 16%
• Neural Network Prediction 16%
• Cruise Operations 16%
• Bypass Turbofan Engine 16%

Engineering

• Particulate Matter Emission 100%
• Convolutional Neural Network 100%
• Aviation Fuels 42%
• Network Model 28%
• Air Quality 14%
• Accurate Prediction 14%
• Applicability 14%
• Human Health 14%
• Field Study 14%
• Ground Level 14%
• Fuel Blend 14%
• Aircraft Engine 14%
• Turbofan Engines 14%

Earth and Planetary Sciences

• Emissions 100%
• Atmospheric Aerosol 100%
• Sustainable Aviation Fuel 27%
• Radiative Forcing 18%
• Contrail 18%
• Air Quality 9%
• Human Health 9%
• Field Study 9%
• Altitude 9%
• Emission Inventory 9%
• Turbofan Engines 9%