Open access
Sep 2026
A Hybrid Deep Learning Framework for Multi-Horizon Air Quality Forecasting Using Variational Mode Decomposition and Attention-Enhanced BiLSTM
The obtained results indicate that integrating signal decomposition with attention-based bidirectional learning can provide complementary benefits for forecasting under highly non-stationary urban conditions, particularly at shorter forecasting horizons.
Yasiel Pérez Vera, Julio Enrique Centeno Leon, Jose Alonso Yañez Mejia et al.
· Applied Sciences · 0 citations