Exploration information systems–A proposal for the future use of GIS in mineral exploration targeting

M Yousefi, OP Kreuzer, V Nykänen, JMA Hronsky - Ore Geology Reviews, 2019 - Elsevier
The advent of modern data collection and storage technologies has brought about a huge
increase in data volumes with both traditional and machine learning tools struggling to …

Artificial intelligence for mineral exploration: A review and perspectives on future directions from data science

F Yang, R Zuo, OP Kreuzer - Earth-Science Reviews, 2024 - Elsevier
The massive accumulation of available multi-modal mineral exploration data for most
metallogenic belts worldwide provides abundant information for the discovery of mineral …

Data analysis methods for prospectivity modelling as applied to mineral exploration targeting: State-of-the-art and outlook

M Yousefi, EJM Carranza, OP Kreuzer… - Journal of Geochemical …, 2021 - Elsevier
Mineral exploration targeting is a highly complex decision-making task. Two key risk factors,
the quality of exploration data and robustness of the underlying conceptual targeting model …

Translation of the function of hydrothermal mineralization-related focused fluid flux into a mappable exploration criterion for mineral exploration targeting

M Yousefi, JMA Hronsky - Applied Geochemistry, 2023 - Elsevier
Formation of hydrothermal mineralization is related to the late stages of, or immediate
following, orogenic compressional regimes that have been superimposed on arc …

Mineral system analysis: Quo vadis

SG Hagemann, VA Lisitsin, DL Huston - Ore Geology Reviews, 2016 - Elsevier
The concept of a mineral system was first formally introduced in 1994, two decades after the
analogous petroleum system concept had been developed. Mineral systems involve:(1) …

Quantifying uncertainties linked to the diversity of mathematical frameworks in knowledge-driven mineral prospectivity map**

M Daviran, M Parsa, A Maghsoudi… - Natural Resources …, 2022 - Springer
Abstract Knowledge-driven mineral prospectivity map** (MPM) has been practiced with
diverse algorithms for combining GIS-based predictor layers (ie, exploration targeting …

Combining numerical modeling and machine learning to predict mineral prospectivity: A case study from the Fankou Pb–Zn deposit, southern China

F ** using deep self-attention model
B Yin, R Zuo, S Sun - Natural Resources Research, 2023 - Springer
Multi-source data integration for mineral prospectivity map** (MPM) is an effective
approach for reducing uncertainty and improving MPM accuracy. Multi-source data (eg …

[HTML][HTML] Overcoming survival bias in targeting mineral deposits of the future: Towards null and negative tests of the exploration search space, accounting for lack of …

M Yousefi, V Nykänen, J Harris, JMA Hronsky… - Ore Geology …, 2024 - Elsevier
Broad consensus exists amongst mineral explorers that most outcrop** mineral deposits
have been found. The next generation of discoveries will rely on our ability to recognize the …