Forecasting of PM2.5/PM10 Using Machine Learning: A Benchmarking Study Based on Open Air Quality IoT Datasets
The results indicate that model selection for PM forecasting should be validated across multiple evaluation windows rather than a single split, that conventional statistical baselines remain a necessary comparison point, and that reported gains from more complex architectures should be interpreted cautiously in light o...