Christina L. Metallidou

Forecasting of PM2.5/PM10 Using Machine Learning: A Benchmarking Study Based on Open Air Quality IoT Datasets

Particulate matter (PM2.5 and PM10) forecasting is increasingly framed as an applied machine-learning problem operating on real-world environmental sensor infrastructure, yet most benchmarking studies evaluate models on a single, curated station rather than on the heterogeneous, imperfect data that operational networks...