AI-driven models led both track and intensity predictions in the 2025 Hurricane Season, outperforming traditional models and ...

Remote sensing now provides unprecedented opportunities to monitor dynamic land surface processes at multiple spatial and temporal scales. The availability ...

Abstract: Long-term time series forecasting (LTF) aims to predict time series over extended time horizons, offering significant cross-domain advantages and competitive insights. However, there is no ...

Lithium-ion batteries power everything from electric vehicles and portable electronics to grid-scale energy storage, thanks to their high energy ...

New research reveals that 'foundation models' trained on vast, general time‑series data may be able to forecast river flows accurately, even in ...

New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows ...

Introduction Climate-sensitive mortality in rapidly urbanising tropical Africa is poorly characterised, and how pandemics ...

Kalshi may be good for more than just making a quick buck. A new research paper published by a trio of Federal Reserve economists suggests that the prediction market platform is a useful method for ...

Time series forecasting for multiscale periodic data is critical in domains such as finance, meteorology, and energy, yet existing models struggle to effectively capture complex interactions across ...