A novel spatiotemporal prediction approach to fill air pollution data gaps using mobile sensors, machine learning and citizen science techniques
Particulate Matter (PM) air pollution poses significant threats to public health. We introduce a
novel machine learning methodology to predict PM2. 5 levels at 30 m long segments along …
novel machine learning methodology to predict PM2. 5 levels at 30 m long segments along …
Web service framework to identify multiple pollutions in potential contaminated sites
X Lu, J Du, G Wang, X Li, L Sun, Y Zhang… - Expert Systems with …, 2025 - Elsevier
The traditional site environmental investigation and pollution identification mainly relies on
manual filling of paper forms and experience-weighted scoring, which have limitations in …
manual filling of paper forms and experience-weighted scoring, which have limitations in …