Individual canopy tree species maps for the National Ecological Observatory Network. PLOS Biology, 2024; 22 (7): e3002700 DOI: 10.1371/journal.pbio.3002700 ...

Supervised learning is a machine learning approach in which algorithms are trained on labelled datasets—that is, data that already includes the correct outputs or classifications. The model learns to ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...

The proposed method employs a pre-trained machine learning decision tree algorithm that processes the carrier-to-noise ratio (C/N0) and elevation angle data collected at 1-Hz intervals.

From machine learning and deep learning to generative AI and natural language processing, different types of AI models serve various use cases—for example, automating tasks, developing better ...