Solid and aqueous phase Al species are recognized to affect organic matter (OM) stabilization in forest soils. However, little is known about the dynamics of formation, composition and dissolution of organo-Al hydroxide complexes in microbiallyactive soil systems, where plant litter is subject to microbial decomposition in close proximity to mineral weathering reactions. We incubated gibbsite–q...

The main problem associated with the traditional approach to image classification for the mapping of hydrothermal alteration is that materials not associated with hydrothermal alteration may be erroneously classified as hydrothermally altered due to the similar spectral properties of altered and unaltered minerals. The major objective of this paper is to investigate the potential of a neuro-fuz...

Machine learning methods that have been used in data-driven predictive modeling of mineral prospectivity (e.g., artificial neural networks) invariably require large number of training prospect/locations and are unable to handle missing values in certain evidential data. The Random Forests (RF) algorithm, which is a machine learning method, has recently been applied to data-driven predictive map...

In this paper, an efficient technique is proposed to manage the cache memory. The proposed technique introduces some modifications on the well-known set associative mapping technique. This modification requires a little alteration in the structure of the cache memory and on the way by which it can be referenced. The proposed alteration leads to increase the set size virtually and consequently t...

The aim of this study is to carry out hydrothermal alteration mapping and structural using ASTER images in order identify indices that could guide mining exploration work the Poli area its surroundings. To achieve this, were first preprocessed correct atmospheric effects remove vegetation influence. Secondly, a lineament was conducted by applying Discrete Wavelet Transform (DWT) algorithms Firs...

Infrared spectral observations have yielded many important insights into the nature of Mars. However, spectral effects tied to surface roughness and particle size can make mineral deposits substantially more difficult to detect and identify than is generally known, including for current investigations. The effects hold for Mars and other planets, but here we focus on the impact on the explorati...