A Hybrid Machine Learning-based Model For Predicting Flight Delay Through Aviation Big Data

This article discusses the use of hybrid deep learning techniques and optimization algorithms for accurate flight delay prediction. The proposed method combines CNN, LSTM, and GCN models with optimization techniques to achieve a 91.36% prediction accuracy. The research also highlights the importance of utilizing relevant indicators and collecting large-scale flight data for accurate predictions.