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The document presents a novel aviation delay prediction system utilizing stacked Long Short-Term Memory (LSTM) networks, which incorporates spatio-temporal data to enhance prediction accuracy. It addresses the limitations of previous methods by integrating various data sources, including flight trajectories, air traffic control information, and weather conditions, while employing advanced feature engineering techniques. The proposed model aims to improve air traffic management and operational efficiency by

Author

kkameesha

Language

EN