Fusion and analysis of thematic information layers using machine learning algorithms
provide an important step toward achieving accurate mineral potential maps in the …

Exploration geologists are urged to develop new, robust, and low-cost approaches to
identify high potential zones related to underground/unexplored mineral deposits because …

Analyzing and fusing information layers of exploratory parameters is a crucial stride for
increasing the accuracy of pinpointing mineral potential zones in the reconnaissance stage …

The eastern Lut block of Iran has a high potential for porphyry copper mineralization due to
the subduction tectonic regime. It is located in an inaccessible region and has harsh arid …

Fusion and analysis of thematic information layers using machine learning algorithms
provide an important step toward achieving accurate mineral potential maps in the …

Analyzing geochemical data from stream sediment samples is one of the most proactive
tools in the geochemical modeling of ore mineralization and mineral exploration. The main …

Due to the efficiency of data mining science for analyzing and reviewing extensive data,
especially geochemical data, essential methods and techniques such as the hierarchical …

Artificial neural network (ANN) is one of the practical methods for prediction in various
sciences. In this study, which was carried out on Glass and Crystal Factory in Isfahan, the …

Iran is located on a silver, lead, and zinc belt and according to the latest studies holds 11
million tons of lead, zinc, and silver stones which constitute 4 percent of global resources …

This paper aims to evaluate the efficiency of various machine learning algorithms integrating
with numerical simulations in optimizing oil production for a highly heterogeneous reservoir …