Tag: machine learning in geoscience

Researchers used logistic regression and support vector machine models to map potential mountain climbing sites across Morocco's Eastern High Atlas, ...

A new benchmark dataset of nearly 9,000 drone-image patches shows deep learning models dramatically outperform classical image filters in automatically ...

A new dual-masked graph autoencoder called DM-GAE maps mineral prospectivity in Tibet with high accuracy despite scarce labeled deposits, outperforming ...

In a groundbreaking study published in Nature Geoscience, University of Victoria geographer Sophie Norris and her international team have unveiled ...