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 ...

Dividend growth investing is gaining traction as volatility persists, with AI tools helping investors identify companies with ...

Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...

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

Indonesia experiences massive forest fires as the dry season approaches. They are a major environmental challenge because ...

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 ...

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

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

As atmospheric carbon dioxide levels continue to rise, accurately measuring the carbon stored in the world's forests has become more critical than ever. Forests are vital carbon sinks, but traditional ...

A new technical paper, “Characterizing tip-sample interaction dynamics on extreme ultraviolet nanostructures using atomic ...