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

Neural networks and genetic algorithms are the two sophisticated machine learning
techniques presently attracting attention from scientists, engineers, and statisticians, among …

The grade estimation is a quite important and money/time-consuming stage in a mine
project, which is considered as a challenge for the geologists and mining engineers due to …

In the terrestrial ecosystems, perennial challenges of increased frequency and intensity of
wildfires are exacerbated by climate change and unplanned human activities. Development …

Artificial intelligence techniques and algorithms are applied at various fields such as face
recognition, self-driving cars, industrial robots and health care. These real-world …

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 recent years, it has been found that the Precipitable Water Vapor (PWV) time series
derived from ground-based GPS measurements can be used in to forecast precipitation in …

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 …

During mammogram screening, there is a higher probability that detection of cancers is
missed, and more than 16 percentage of breast cancer is not detected by radiologists. This …

The process of water quality testing is money/time-consuming, quite important and difficult
stage for routine measurements. Therefore, use of models has become commonplace in …