Over the past several decades, a wide range of complex structures or phenomena of interest
to geologists and geochemists has been quantitatively characterized using …

Various statistical methods, including fractal/multifractal techniques, have been applied to
clustering of geochemical samples based on their elemental concentrations. Most …

Geochemical anomaly patterns for metal exploration targeting usually reveal non-stationarity
due mainly to the non-linear synthesis of ore-forming processes. The spectrum–area (S–A) …

The separation, identification and assessment of high-grade ore zones from low-grade ones
are extremely important in mining of metalliferous deposits. A technique that provides …

Recognition of significant geochemical signatures and separation of geochemical
anomalies from background are critical issues in interpretation of stream sediment data to …

Mineral prospectivity mapping (MPM) is a new tool in mineral exploration with the objective
of gathering and integrating multi-source evidence to provide decision-making criteria for …

The objective of this paper is to detect various gold and copper mineralization stages
according to surface lithogeochemical data utilizing zonality index and spectrum-area (SA) …

The Kushaka greenschist belt is one of Nigeria's known gold mineralized belts. This study
used geological information from geophysical, remote sensing, surface geology, and …

Convolutional neural networks (CNNs), a prominent deep learning approach, have
garnered significant interest in the field of mineral potential mapping (MPM) due to their …

The purpose of this study is to detect geochemical anomalies utilizing a Wavelet-Number
(WN) fractal model based on combination of a two-dimensional Discrete Wavelet …