Early-warning signs of marsh decline provided by the model could be crucial for conservation. “Once [marsh] loss occurs, that ...

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

Beneath Yellowstone’s stunning surface lies a hyperactive seismic world, now better understood thanks to machine learning. Researchers have uncovered over 86,000 earthquakes—10 times more than ...

By leveraging multiple sources and applying a random forest classifier (a machine learning algorithm), the team addresses the inconsistencies between existing land cover datasets with a remarkable ...