Mineral resource estimation involves the determination of the grade and tonnage of a
mineral deposit based on its geological characteristics using various estimation methods …

Optimization algorithms coupled with computational fluid dynamics are used for wind
turbines airfoils design. This differs from the traditional aerospace design process since the …

This study discusses the development and performance of a rapid prediction system
capable of representing the joint rainfall-runoff and storm surge flood response of tropical …

Accurate prediction of mineral grades is a fundamental step in mineral exploration and
resource estimation, which plays a significant role in the economic evaluation of mining …

In this study, machine learning methods such as neural networks, random forests, and
Gaussian processes are applied to the estimation of copper grade in a mineral deposit. The …

Resource estimation techniques have upgraded over the past couple of years, thereby
improving resource estimates. The classical method of estimation is less used in ore grade …

One of the first steps for the exploitation of any energy source is necessarily represented by
its estimation and mapping at the aim of identifying the most suitable areas in terms of …

In this paper, a local linear radial basis function (LLRBF) neural network that uses a skewed
Gaussian activation function, called LLRBF-SG, is applied to the problem of ore grade …

This article presents new neural network (NN) architecture to improve its ability for grade
estimation. The main aim of this study is to use a specific NN which has a simpler …

The exploitation of the renewable energy sources plays a key role for achieving the CO2
emissions reduction targets established by the Kyoto Protocol, as well as for facing the …