This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

Researchers used machine learning to generate highly detailed maps of over 100 million individual trees from 24 sites across the U.S. These maps provide information about individual tree species and ...

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

A: A random forest is a machine-learning method that makes predictions by combining the decisions of many simpler models called decision trees. A decision tree works like a tree from bottom-up. At ...