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What is Flight Delay Prediction Using ATT-BI-LSTM about?

This paper presents an Attention-based Bidirectional Long Short-Term Memory (ATT-BI-LSTM) framework for improving flight delay prediction in the aviation sector. The model integrates spatial and temporal features along with weather data, achieving high accuracy rates of 94.30% and 93.71% in predicting flight delays. The proposed framework aims to enhance real-time monitoring and decision-making for airlines and airports, ultimately mitigating multi-billion-dollar losses due to flight delays.

Author

Ifayanti

Language

EN