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.

The Premier League has been a little boring at times this season, but there's brilliant, must-see soccer all over Europe if ...

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

Florida's Indian River Lagoon has been an ecosystem in decline going back to 2011, when harmful algal blooms led to a severe ...

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 ...

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

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 ...

The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

The NOVA Score provides a pragmatic, 3-variable triage tool to identify long-term survivors of metastatic spinal cord ...