The giant Jiaodong gold province, with more than 5000 t of proven gold resources, is unique
in that its Mesozoic gold deposits are hosted in a Precambrian basement block. There has …

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 …

This study intends to showcase the application of Extreme Gradient boosting (XGboost), a
state-of-the-art ensemble-learning technique, for district-scale mineral potential mapping …

Epigenetic gold deposits in metamorphic terranes include those of the Precambrian shields
(approx 23,000-25,000 t Au), particularly the Late Archean greenstone belts and …

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 …

To aid conceptual targeting, the past two decades have seen the emergence of the mineral
systems concept, whereby ore deposits are viewed as small-scale expressions of a range of …

Holistic mineral systems approaches are being increasingly adopted in the study of ore
deposits but application in industry has been suboptimal, because of the lack of a …

Mineral systems with their core of ore deposits require a rare conjunction of geodynamic
settings, crustal or lithospheric fertility, crustal architecture and suitable host rocks, and …

This paper introduces the concept of geodata science-based mineral prospectivity mapping
(GSMPM), which is based on analyzing the spatial associations between geological …

A multilayer feed‐forward neural network, trained with a gradient descent, back‐propagation
algorithm, is used to estimate the favourability for gold deposits using a raster GIS database …