Fuel consumption prediction for pre-departure flights using attention-based multi-modal fusion

INIS

• prediction 100%
• fuel consumption 100%
• operation 83%
• information 50%
• weather 33%
• emission 16%
• trajectories 16%
• graphs 16%
• datasets 16%
• fuels 16%
• maps 16%
• dimensions 16%
• weight 16%
• pollution control 16%
• mines 16%
• layers 16%
• neural networks 16%
• correlations 16%
• wastes 16%
• errors 16%
• cost 16%
• grids 16%
• performance 16%
• aircraft 16%
• learning 16%
• loading 16%
• classification 16%

Computer Science

• Convolutional LSTM 50%
• Deep Learning Model 50%
• Graph Convolutional Network 50%
• Binary Encoding 50%
• Influential Factor 50%
• Multimodality 50%
• Binary Classification 50%
• Convolutional Neural Network 50%
• Multimodal Information 50%

Engineering

• Models 28%
• Airlines 28%
• Model Input 14%
• Error 14%
• Demonstrates 14%
• Dataset 14%
• Maps 14%
• Deadweight 14%
• Flight Trajectory 14%
• Tasks 14%
• Aircraft Performance 14%
• Supports 14%