K. Nandagiri

A Multimodal Hybrid LSTM–CNN Framework for Robust Spatio-Temporal Air Quality Index Prediction

Findings show that multimodal spatio-temporal learning is very effective in predicting AQI with high reliability and has strong potential for real-time smart-city air quality monitoring and decision-support systems.