2 papers
cs.LG2025
Tackling Incomplete Data in Air Quality Prediction: A Bayesian Deep Learning Framework for Uncertainty Quantification
Yuzhuang Pian, Taiyu Wang, Shiqi Zhang +2
Accurate air quality forecasts are vital for public health alerts, exposure assessment, and emissions control. In practice, observational data are often missing in varying proporti…
cs.LG2025
Integrating mobile and fixed monitoring data for high-resolution PM2.5 mapping using machine learning
Rui Xu, Dawen Yao, Yuzhuang Pian +5
Constructing high resolution air pollution maps at lower cost is crucial for sustainable city management and public health risk assessment. However, traditional fixed-site monitori…