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)
Exploitation
Prediction of the Flyrock using Gene Expression Programming (GEP) and Teaching–learning-based optimization algorithm (TLBO)

Reza Shamsi; Mohammad Saeed Amini; Hesam Dehghani; Marc bascompta; Behshad Jodeiri Shokri; Shima Entezam

Articles in Press, Accepted Manuscript, Available Online from 06 June 2022

http://dx.doi.org/10.22044/jme.2022.11825.2171

Abstract
  This paper attempted to estimate the amount of flyrock in the Angoran mine in Zanjan province, Iran using the gene expression programming (GEP) predictive technique. The input data, including flyrock, mean depth of the hole, powder factor, stemming, explosive weight, number of holes, and booster were ...  Read More

Probabilistic Prediction of Acid Mine Drainage Generation Risk Based on Pyrite Oxidation Process in Coal Washery Rejects - A Case Study

F. Hadadi; B. Jodeiri Shokri; M. Zare Naghadehi; F. Doulati Ardejani

Volume 12, Issue 1 , January 2021, , Pages 127-137

http://dx.doi.org/10.22044/jme.2020.9609.1873

Abstract
  In this paper, we investigate a probabilistic approach in order to predict how acid mine drainage is generated within coal waste particles in NE Iran. For this, a database is built based on the previous studies that have investigated the pyrite oxidation process within the oldest abandoned pile during ...  Read More

Prediction of Acid Mine Drainage Generation Potential of A Copper Mine Tailings Using Gene Expression Programming-A Case Study

B. Jodeiri Shokri; H. Dehghani; R. Shamsi; F. Doulati Ardejani

Volume 11, Issue 4 , October 2020, , Pages 1127-1140

http://dx.doi.org/10.22044/jme.2020.10031.1938

Abstract
  This work presents a quantitative predicting likely acid mine drainage (AMD) generation process throughout tailing particles resulting from the Sarcheshmeh copper mine in the south of Iran. Indeed, four predictive relationships for the remaining pyrite fraction, remaining chalcopyrite fraction, sulfate ...  Read More