Tag: mineral prospectivity mapping

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

A self-supervised Vision Transformer framework that fuses multi-scale geological maps with aeromagnetic data has substantially outperformed conventional methods in mapping ...

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 ...

An integrated study combining petrography, sedimentology, geochemistry and kriged spatial modelling identifies a southern zone of Bipindi, southern Cameroon, as ...

Deep beneath the high-altitude terrain of Yunnan Province in southwest China, one of the country's most important porphyry copper deposits ...

Recent research has illuminated pivotal advancements in the field of mineral prospectivity mapping, focusing on the intricate relationships between mineralization ...

In the rapidly advancing field of mineral prospectivity mapping, researchers are continuously seeking innovative methodologies to enhance the accuracy and ...

Uncertainty in mineral prospectivity mapping has long posed challenges for geologists and mining companies worldwide. In a groundbreaking study by ...