[HTML][HTML] Quantifying uncertainty and improving prospectivity mapping in mineral belts using transfer learning and Random Forest: A case study of copper …
D Lauzon, E Gloaguen - Ore Geology Reviews, 2024 - Elsevier
Mineral prospectivity mapping (MPM) involves identifying locations with a higher potential
for mineral exploration based on a set of explanatory variables. In cases where there is a …
for mineral exploration based on a set of explanatory variables. In cases where there is a …
Toward data-driven mineral prospectivity mapping from remote sensing data using deep forest predictive model
AM Mohamed Taha, G Liu, Q Chen, W Fan… - Natural Resources …, 2024 - Springer
Remote sensing data prove to be an effective resource for constructing a data-driven
predictive model of mineral prospectivity. Nonetheless, existing deep learning models …
predictive model of mineral prospectivity. Nonetheless, existing deep learning models …
Prospectivity Mapping of Tungsten Mineralization in Southern Jiangxi Province Using Few-Shot Learning
K Zhou, T Sun, Y Liu, M Feng, J Tang, L Mao, W Pu… - Minerals, 2023 - mdpi.com
The development of mineral prospectivity mapping (MPM), which aims to outline and
prioritize mineral exploration targets, has been spurred by advances in data-driven machine …
prioritize mineral exploration targets, has been spurred by advances in data-driven machine …
How do non-deposit sites influence the performance of machine learning-based gold prospectivity mapping? A study case in the Pitangui Greenstone Belt, Brazil
BOL Ribeiro, D Barbuena, GHC de Melo… - Journal of Geochemical …, 2024 - Elsevier
One of the greatest challenges in mineral prospectivity mapping (MPM) research nowadays
is to find a solid methodology that ensures the reliability of the prospectivity model during the …
is to find a solid methodology that ensures the reliability of the prospectivity model during the …
Machine learning models to predict rare earth elements distribution in Tethyan phosphate ore deposits: Geochemical and depositional environment implications
N Tahar-Belkacem, O Ameur-Zaimeche, R Kechiched… - Geochemistry, 2024 - Elsevier
The global market for rare earth elements (REE) is growing rapidly, driven by rising demand
and limited production sources, prompting interest in recovering REE from secondary …
and limited production sources, prompting interest in recovering REE from secondary …
Regional Quantitative Mineral Prospectivity Mapping of W, Sn, and Nb-Ta Based on Integrated Information in Rwanda, Central Africa
Z Chen, J Chen, T Liu, Y Li, Q Yin, H Du - Minerals, 2023 - mdpi.com
As the need to discovers new mineral deposits and occurrences has intensified in recent
years, it has become increasingly apparent that we need to map potentials via integrated …
years, it has become increasingly apparent that we need to map potentials via integrated …