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Mohammad Rezaei
Mohammad Rezaei
Department of Mining Engineering, Faculty of Engineering, University of Kurdistan, Sanandaj
Verified email at uok.ac.ir - Homepage
Title
Cited by
Cited by
Year
Development of a fuzzy model to predict flyrock in surface mining
M Rezaei, M Monjezi, AY Varjani
Safety science 49 (2), 298-305, 2011
1772011
Prediction of rock fragmentation due to blasting in Gol-E-Gohar iron mine using fuzzy logic
M Monjezi, M Rezaei, AY Varjani
International Journal of Rock Mechanics and Mining Sciences 46 (8), 1273-1280, 2009
1562009
An intelligent approach to predict unconfined compressive strength of rock surrounding access tunnels in longwall coal mining
M Rezaei, A Majdi, M Monjezi
Neural Computing and Applications 24, 233-241, 2014
1262014
Prediction of backbreak in open-pit blasting using fuzzy set theory
M Monjezi, M Rezaei, A Yazdian
Expert Systems with Applications 37 (3), 2637-2643, 2010
1242010
Determination of longwall mining-induced stress using the strain energy method
M Rezaei, MF Hossaini, A Majdi
Rock Mechanics and Rock Engineering 48, 2421-2433, 2015
1212015
Prediction of unconfined compressive strength of rock surrounding a roadway using artificial neural network
A Majdi, M Rezaei
Neural Computing and Applications 23, 381-389, 2013
1182013
Developing a least squares support vector machine for estimating the blast-induced flyrock
HN Rad, M Hasanipanah, M Rezaei, AL Eghlim
Engineering with Computers 34 (4), 709–717, 2018
1012018
Assessing the effect of freezing-thawing cycles on the results of the triaxial compressive strength test for calc-schist rock
SZS Mousavi, H Tavakoli, P Moarefvand, M Rezaei
International Journal of Rock Mechanics and Mining Sciences 123, 104090, 2019
942019
A time-independent energy model to determine the height of destressed zone above the mined panel in longwall coal mining
M Rezaei, MF Hossaini, A Majdi
Tunnelling and Underground Space Technology 47, 81-92, 2015
942015
Developing a new fuzzy model to predict burden from rock geomechanical properties
M Monjezi, M Rezaei
Expert Systems with Applications 38 (8), 9266-9273, 2011
772011
Micro-structural, petro-graphical and mechanical studies of schist rocks under the freezing-thawing cycles
SZS Mousavi, H Tavakoli, P Moarefvand, M Rezaei
Cold Regions Science and Technology 174, 103039, 2020
712020
Development of a time-dependent energy model to calculate the mining-induced stress over gates and pillars
M Rezaei, MF Hossaini, A Majdi
Journal of Rock Mechanics and Geotechnical Engineering 7 (3), 306-317, 2015
612015
Prediction of representative deformation modulus of longwall panel roof rock strata using Mamdani fuzzy system
R Mohammad, A Mostafa, M Abbas, HM Farouq
International Journal of Mining Science and Technology 25 (1), 23-30, 2015
602015
Evaluation of the maximum horizontal displacement around the power station caverns using artificial neural network
M Rajabi, R Rahmannejad, M Rezaei, K Ganjalipour
Tunnelling and Underground Space Technology 64, 51-60, 2017
592017
Application of neural networks to predict net present value in mining projects
AR Sayadi, SMM Tavassoli, M Monjezi, M Rezaei
Arabian Journal of Geosciences 7, 1067-1072, 2014
492014
Development of an intelligent model to estimate the height of caving–fracturing zone over the longwall gobs
M Rezaei
Neural Computing and Applications 30 (7), 2145–2158, 2018
472018
Predicting unconfined compressive strength of intact rock using new hybrid intelligent models
M Rezaei, M Asadizadeh
Journal of Mining and Environment 11 (1), 231-246, 2020
452020
Burden prediction in blasting operation using rock geomechanical properties
M Rezaei, M Monjezi, S Ghorbani Moghaddam, F Farzaneh
Arabian Journal of Geosciences 5, 1031-1037, 2012
432012
Studying the correlation of rock properties with P-wave velocity index in dry and saturated conditions
M Rezaei, P Koureh Davoodi, I Najmoddini
Journal of Applied Geophysics 169, 49-57, 2019
402019
Forecasting the stress concentration coefficient around the mined panel using soft computing methodology
M Rezaei
Engineering with Computers 33 (2), 451-466, 2019
362019
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