Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

Researchers have shown how random forest algorithms can be applied to complex ecological models to uncover the mechanisms driving system behavior. By analyzing a stage‑structured consumer‑resource ...

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.

In the fall of 2022, hurricanes Ian and Nicole struck Florida’s east coast within six weeks of one another, bringing intense rainfall, storm surges and coastal erosion. In the immediate aftermath, ...

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

Read more about AI can’t deliver climate gains without strong governance and capacity building on Devdiscourse ...

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...

Solar flares strong enough to knock out satellites and buckle power grids are, by definition, rare. That rarity is exactly ...

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

Scientists at the European Centre for Medium-Range Weather Forecasts have unveiled a machine learning technique that pinpoints optimal locations for tree planting, offering a powerful tool for climate ...