Working Thesis Title
Deep Learning for Spatiotemporal Anomaly Forecasting.
Deep learning for spatiotemporal anomaly forecasting, encompassing both methodology and applications for the environment.
Supervisors:
Primary Supervisor: Varvara Vetrova