Most geochemical and geostatistical analysis in mining exploration requires removing
regional trends in order to obtain local anomalies. In this paper, stream sediment samples …

The geochemical data can be transferred to other domains such as frequency and position-
scale domains using Fourier transform (FT) and wavelet transform (WT). The investigations …

Machine learning (ML) and deep learning (DL) techniques have recently shown
encouraging performance in recognizing metal-vectoring geochemical anomalies within …

Geochemical and statistical analyses of 165 soil samples led to Cu-Au anomaly separation
in Dalli-Northern Hill by using fractal geometry and U-spatial statistic. There was a good …

The surface geochemical data in spatial domain can be transferred to frequency domain
using two-dimensional Fourier transformation. The analysis of surface geochemical data in …

The identification of blind and disseminated mineral deposits is an important challenge in
mining exploration. This research presents a quantitative approach to predict a deep, hidden …

Delineating the geochemical anomalies from background is a fundamental task in
geochemical exploration. Fractal models are practical for the purpose especially …

Achieving better monitoring and radiation risk assessment is among the main issues in
environmental studies. In this regard, natural radioactivity measurements in sediments can …

Detection of deep and hidden mineralization using the surface geochemical data is a
challenging subject in the mineral exploration. In this work, a novel scenario based on the …

Abstract Changes in the composition of various chemical elements in ancient nephrite
artifacts due to prolonged burial are critical factors that should not be underestimated …