Tag: exploration targeting

A new framework combining geological constraints and point pattern analysis shows that the choice of non-deposit training locations can dramatically ...

Researchers at the University of Ghana used random forest and decision tree classifiers trained on airborne geophysical data to map ...

A new hybrid 3D CNN-graph attention framework with entropy-guided fusion achieved an AUROC of 0.964 and delineated five new exploration ...

A multi-level stacking ensemble of five machine learning models mapped porphyry copper-gold prospectivity in northwest Iran with an AUC of ...

A knowledge–data dual-driven machine learning framework combining deep forest algorithms with orogenic gold mineral system knowledge has improved mineral prospectivity ...

Researchers fused 3D numerical simulation of ore-forming processes with an attention-enhanced deep learning network to map hidden gold targets beneath ...