The hybrid dual-temporal LSTM achieves MAE 2.8167 and R² 0.9495 on Biman Bangladesh Airlines data, outperforming single-stream, tree-based, and prior dual-LSTM baselines while generalizing across route types.
An airport level framework for examining the impact of COVID-19 on airline demand
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Dual-Temporal LSTM with Hybrid Attention for Airline Passenger Load Factor Forecasting: Integrating Intra-Flight and Inter-Flight Booking Dynamics
The hybrid dual-temporal LSTM achieves MAE 2.8167 and R² 0.9495 on Biman Bangladesh Airlines data, outperforming single-stream, tree-based, and prior dual-LSTM baselines while generalizing across route types.