[HTML][HTML] Big-data-driven machine learning for enhancing spatiotemporal air pollution pattern analysis
M Zareba, H Dlugosz, T Danek, E Weglinska - Atmosphere, 2023 - mdpi.com
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 …
crucial step for understanding the complex characteristics of air pollution. Using many …
Machine Learning Techniques for Spatio-Temporal Air Pollution Prediction to Drive Sustainable Urban Development in the Era of Energy and Data Transformation
M Zareba, S Cogiel, T Danek, E Weglinska - Energies, 2024 - mdpi.com
Sustainable urban development in the era of energy and digital transformation is crucial
from a societal perspective. Utilizing modern techniques for analyzing large datasets …
from a societal perspective. Utilizing modern techniques for analyzing large datasets …