- Article
Big-Data-Driven Machine Learning for Enhancing Spatiotemporal Air Pollution Pattern Analysis
- Mateusz Zareba,
- Hubert Dlugosz,
- Tomasz Danek and
- Elzbieta Weglinska
Air pollution is an important problem for public health. The spatiotemporal analysis is a crucial step for understanding the complex characteristics of air pollution. Using many sensors and high-resolution time-step observations makes this task a big...

