https://github.com/rogerjdeangelis/utl-altair-slc-kera-deep-neural-networks-pnn-to-classify-iris-species-using-flower-meaurements/blob/main/confusion_matrix.png https ...

On a recent morning in central Vermont, where I live, it was raining, and the wood frogs had just begun to chorus. The sap run from the maple trees has started to dwindle as the branches begin to bud ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

In northeastern Gabon, the community of Massaha used participatory mapping to document ancestral villages, sacred sites and traditional land use inside a rainforest slated for industrial logging.

The lack of precise, autonomous tools for monitoring and classifying cattle behavior limits farmers’ ability to make proactive and informed decisions regarding grazing and herd management. Currently, ...

Australia’s tropical forests are the world’s first to flip a worrisome switch. The forests are now putting more carbon into the atmosphere than they are taking out, researchers report in the Oct. 16 ...

DULUTH — The Nature Conservancy purchased more than 12,000 acres of forest, rivers and wetlands between Two Harbors and Ely in northeast Minnesota that the conservation organization plans to restore ...

A pioneering study reveals how archaeologists' satellite tools can be repurposed to tackle climate change. By using AI and satellite LiDAR imagery from NASA and ESA, researchers have found a faster, ...