Nature

Machine learning for data-centric epidemic forecasting

The COVID-19 pandemic emphasized the importance of epidemic forecasting for decision makers in multiple domains, ranging from public health to the economy. Forecasting epidemic progression is a ...
Nature

A new strong convective precipitation forecasting method based on attention mechanism and spatio-temporal reasoning

Strong convective precipitation is the main cause of disasters such as floods and mudslides, resulting in huge economic losses and casualties. Moreover, strong convective precipitation is difficult to ...
Geeky Gadgets

How to Master Excel Forecasting Techniques for Better Predictions

Excel forecasting is a crucial skill for analysts aiming to boost productivity, cut costs, and enhance customer satisfaction. By harnessing Excel’s powerful forecasting tools, you can generate precise ...
Frontiers

Advancing Machine Learning for Space Weather Forecasting: Integrating Solar Observations, Geomagnetic Storm Prediction, and GNSS Ionospheric Forecasting

Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...