Volume 13 (2022)
Volume 12 (2021)
Volume 11 (2020)
Volume 10 (2019)
Volume 9 (2018)
Volume 8 (2017)
Volume 7 (2016)
Volume 6 (2015)
Volume 5 (2014)
Volume 4 (2013)
Volume 3 (2012)
Volume 2 (2011)
Volume 1 (2010)
Mineral Potential Modeling of Porphyry Copper Deposits using Continuously-Weighted Spatial Evidence Layers and Union Score Integration Method

E. Bahri; A. Alimoradi; M. Yousefi

Volume 12, Issue 3 , July 2021, , Pages 743-751

http://dx.doi.org/10.22044/jme.2021.10668.2026

Abstract
  There are different exploration methods, each of which may introduce a number of promising exploration targets. However, due to the financial and time constraints, only a few of them are selected as the exploration priorities. Instead of the individual use of any exploration method, it is common to integrate ...  Read More

Optimizing Extreme Learning Machine Algorithm using Particle Swarm Optimization to Estimate Iron Ore Grade

M. Fathi; A. Alimoradi; H.R. Hemati Ahooi

Volume 12, Issue 2 , April 2021, , Pages 397-411

http://dx.doi.org/10.22044/jme.2021.10368.1984

Abstract
  Scientific uncertainties make the grade estimation very complicated and important in the metallic ore deposits. This paper introduces a new hybrid method for estimating the iron ore grade using a combination of two artificial intelligence methods; it is based on the single layer-extreme learning machine ...  Read More

Integrating Geophysical Attributes with New Cuckoo Search Machine-Learning Algorithm to Estimate Silver Grade Values–Case Study: Zarshouran Gold Mine

A. Alimoradi; B. Maleki; A. Karimi; M. Sahafzadeh; S. Abbasi

Volume 11, Issue 3 , July 2020, , Pages 865-879

http://dx.doi.org/10.22044/jme.2020.9939.1923

Abstract
  The exploration methods are divided into the direct and indirect categories. Among these, the indirect geophysical methods are more time- and cost-effective compared with the direct methods. The target of the geophysical investigations is to obtain an accurate image from the underground features. The ...  Read More