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cs.LG2026
Interpretable PM2.5 Forecasting for Urban Air Quality: A Comparative Study of Operational Time-Series Models
Moazzam Umer Gondal, Hamad ul Qudous, Asma Ahmad Farhan +1
Accurate short-term air-quality forecasting is essential for public health protection and urban management, yet many recent forecasting frameworks rely on complex, data-intensive,…
cs.LG2025
Beyond the Hype: Comparing Lightweight and Deep Learning Models for Air Quality Forecasting
Moazzam Umer Gondal, Hamad ul Qudous, Asma Ahmad Farhan
Accurate forecasting of urban air pollution is essential for protecting public health and guiding mitigation policies. While Deep Learning (DL) and hybrid pipelines dominate recent…