A Multimodal Hybrid LSTM–CNN Framework for Robust Spatio-Temporal Air Quality Index Prediction
Air pollution is a severe challenge to human health and urban sustainability, and accurate and timely prediction of the Air Quality Index (AQI) is critical to early warning systems and policy interventions. Current statistical and single-modality deep learning models are ineffective in capturing the non-linear spatio-t...