Journal Papers
-S. Mojeddifar, M. Hemmati Chegeni, M. Lashkari Ahangarani; “Gas-bearing reservoir characterization using an adjusted Parzen probabilistic network” Journal of Petroleum Science and Engineering, 169 (2018) 445–453.
-H. Fereydooni, S. Mojeddifar; “A directed matchedfiltering algorithm (DMF) for discriminating hydrothermal alteration zones using the ASTER remote sensing data” Int J Appl Earth Obs Geoinformation, 61 (2017) 1–13.
-S. Mojeddifar, GH. Kamali, H. Ranjbar; “Porosity prediction from seismic inversion of similarity attribute based on a pseudo-forward equation (PFE)- a case study from the North Sea basin, Netherlands” Petroleum Science journal, (2015) 12:428–442.
-S. Mojeddifar, Gh. Kamali, H. Ranjbar, B. Salehipour Bavarsad, “A Comparative Study between a Pseudo-Forward Equation (PFE) and Intelligence Methods for the Characterization of the North Sea Reservoir”, Int. J. Min. & Geo -Eng. Vol.48, No.2, December 2014, pp.173-190.
-H. Jalalifar, S. Mojeddifar, A.A. Sahebi; “Prediction of rock mass rating using fuzzy logic and multi-variable RMR regression mode” International Journal of Mining Science and Technology 24 (2014) 237–244.
-S. Mojedifar, H. Ranjbar, H. Nezamabadi-Pour; “Adaptive Neuro-Fuzzy Inference System Application for Hydrothermal Alteration Mapping, Using ASTER Data”, Journal of Mining & Environment, Vol.4, No.2, 2013, 83- 96.
-H. Jalalifar, S. Mojedifar, A.A. Sahebi, H. Nezamabadi-Pour; “Application of Adaptive Neuro-Fuzzy Inference System for Prediction of rock engineering classification system”, Computers and Geotechnics 38 (2011) 783–790.
-H. Jalalifar, S. Mojediar, A.A. Sahebi; “Prediction Of Rock Mass Rating Using Fuzzy Logic With Special Attention To Discontinuities And Ground Water Conditions”, The Underground Coal Operators Conference, University of Wollongong, 2011.
