University of the Arts London

MSc Fashion Analytics and Forecasting

Use data analytics to creatively solve complex problems facing the fashion industry through a premium, online learning experience developed with industry partners. The next Virtual Open Event for this ...
PNAS

Skillful heat-related mortality forecasting during recent deadly European summers

Heat-related mortality is a growing issue in Europe, and the continued development of heat warning systems is a key aspect of society’s adaptation to a changing climate. To date, many heat warning ...
Frontiers

Transformer-based short-term traffic forecasting model considering traffic spatiotemporal correlation

Traffic forecasting is crucial for a variety of applications, including route optimization, signal management, and travel time estimation. However, many existing prediction models struggle to ...
Frontiers

Sparse Gaussian Process Regression for Landslide Displacement Time-Series Forecasting

Landslide hazards are complex nonlinear systems with a highly dynamic nature. Accurate forecasting of landslide displacement and evolution is crucial for the prevention and mitigation of landslide ...
GitHub

Deep learning for time series forecasting, classification, and anomaly detection

Flow Forecast (FF) is an open-source deep learning for time series forecasting framework. It provides all the latest state of the art models (transformers, attention models, GRUs, ODEs) and cutting ...