Hybrid fuzzy-analytic hierarchy process (AHP) model for porphyry copper prospecting in simorgh area, eastern lut block of Iran

V Khosravi, A Shirazi, A Shirazy, A Hezarkhani… - Mining, 2021 - mdpi.com
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 …

Investigation of magneto-/radio-metric behavior in order to identify an estimator model using K-means clustering and Artificial Neural Network (ANN)(Iron Ore Deposit …

A Shirazy, A Hezarkhani, T Timkin, A Shirazi - Minerals, 2021 - mdpi.com
The study area is located near Toot village in the Yazd province of Iran, which is considered
in terms of its iron mineralization potential. In this area, due to radioactivity, radiometric …

[HTML][HTML] Geochemical behavior investigation based on k-means and artificial neural network prediction for titanium and zinc, Kivi region, Iran

S Adel, Z Mansour, H Ardeshir - Известия Томского …, 2021 - cyberleninka.ru
The relevance. These are the first studies in the Kivi region. Due to the presence of titanium
and zinc in the area, these studies are necessary. Artificial Neural Network and K-means …

[HTML][HTML] Geophysical study: Estimation of deposit depth using gravimetric data and Euler method (Jalalabad iron mine, kerman province of IRAN)

A Shirazy, A Shirazi, H Nazerian, K Khayer… - Open Journal of …, 2021 - scirp.org
Mineral exploration is done by different methods. Geophysical and geochemical studies are
two powerful tools in this field. In integrated studies, the results of each study are used to …

K-means clustering and general regression neural network methods for copper mineralization probability in Chahar-Farsakh, Iran

A Shirazy, A Hezarkhani, A Shirazi… - Türkiye Jeoloji …, 2022 - dergipark.org.tr
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 …

[HTML][HTML] Feasibility of simultaneous application of fuzzy neural network and TOPSIS integrated method in potential map** of lead and zinc mineralization in Isfahan …

B Hedayat, ME Ahmadi, H Nazerian, A Shirazi… - Open Journal of …, 2022 - scirp.org
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 …

Geochemical Modeling of Copper Mineralization Using Geostatistical and Machine Learning Algorithms in the Sahlabad Area, Iran

A Shirazi, A Hezarkhani, A Shirazy, AB Pour - Minerals, 2023 - mdpi.com
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 …

Targeting local orogenic gold mineralisation zones using data-driven evidential belief functions: the Godarsorkh area, Central Iran

M Maleki, S Niroomand, S Rajabpour… - All Earth, 2022 - Taylor & Francis
Using GIS-based multi-criteria decision-making techniques, ie mineral prospectivity
map** (MPM), specific spatial problems can be solved by combining information from …

[PDF][PDF] Design of an artificial neural network (BPNN) to predict the content of silicon oxide (SiO2) based on the values of the rock main oxides: glass factory feed case …

H Nazerian, A Shirazy, A Shirazi… - International Journal of …, 2022 - ijsea.com
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 …

[HTML][HTML] Minimalization of Ash from Iranian Gilsonite by Froth Flotation

RJ Doodran, S Khakmardan, A Shirazi… - Journal of Minerals and …, 2020 - scirp.org
Gilsonite is a natural, brittle, and glisten tar hydrocarbon, which widely uses in the chemical,
paint, and oil industry, besides asphalt production and thermal insulation. Major gangues of …