Tag: early warning systems

Researchers have built an explainable, fairness-audited early warning system that predicts online student dropout using only the first weeks of ...

Researchers have developed a vine-copula-based multivariate drought index that adapts to local conditions in Pakistan's Upper Indus Basin and substantially ...

A new event-based machine learning approach reframes vineyard mildew forecasting as the prediction of disease-risk episodes rather than daily status ...

A systematic review finds that deep learning outperforms other technologies in detecting and predicting human–wildlife conflict, with elephants, tigers, monkeys ...

A new generative adversarial network called SR2-GAN significantly improves multi-step radar rainfall nowcasting, cutting prediction error by up to 44.4 ...

Researchers combined the XBeach numerical model with Bayesian Networks trained on thousands of simulated storms to enable rapid, uncertainty-aware coastal ...

A 46-year analysis of western North Pacific storms shows tropical cyclone landfall risk in East Asia shifting from lower to ...

A new perspective in Biocontaminant outlines an integrated biosensing framework for shifting aquatic pathogen monitoring from periodic single-target laboratory tests ...

Flood models can predict where water will flow, but researchers argue that only governance centred on social vulnerability can predict ...

A new deep learning framework for river flow forecasting puts flood peaks, uncertainty, and interpretability at the center of model ...