Spatiotemporal Machine Learning for Smart Cities: A Comprehensive Review of Models and Applications
The rapid growth of sensor networks, satellite platforms, Internet-of-Things (IoT) devices, and urban monitoring systems has produced vast volumes of spatiotemporal data. Modeling such data is central to applications ranging from air-quality forecasting and climate monitoring to traffic prediction and urban planning, y...
Didar Yedilkhan, Gulden Ormanova, Zhibek N. Sarsenova et al.
· Applied Sciences · 0 citations