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Ehsan Momeni, PhD
Ehsan Momeni, PhD
Associate Professor, Department of Civil Engineering, Lorestan University
Verified email at live.utm.my - Homepage
Title
Cited by
Cited by
Year
Prediction of pile bearing capacity using a hybrid genetic algorithm-based ANN
E Momeni, R Nazir, DJ Armaghani, H Maizir
Measurement 57, 122-131, 2014
3692014
Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks
E Momeni, DJ Armaghani, M Hajihassani, MFM Amin
Measurement 60, 50-63, 2015
3432015
Prediction of the unconfined compressive strength of soft rocks: a PSO-based ANN approach
ET Mohamad, D Jahed Armaghani, E Momeni, ...
Bulletin of Engineering Geology and the Environment 74 (3), 745-757, 2015
2212015
An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young’s modulus: a study on Main Range granite
D Jahed Armaghani, E Tonnizam Mohamad, E Momeni, ...
Bulletin of engineering geology and the environment 74 (4), 1301-1319, 2015
1952015
Prediction of the strength and elasticity modulus of granite through an expert artificial neural network
DJ Armaghani, ET Mohamad, E Momeni, M Monjezi, MS Narayanasamy
Arabian Journal of Geosciences 9 (1), 48, 2016
1772016
Rock strength estimation: a PSO-based BP approach
ET Mohamad, DJ Armaghani, E Momeni, AH Yazdavar, M Ebrahimi
Neural Computing and Applications, 1-12, 2018
1722018
Correlation Between Unconfined Compressive Strength and Indirect Tensile Strength of Limestone Rock Samples
R Nazir, E Momeni, D JahedArmaghani
1612013
Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting
DJ Armaghani, E Momeni, SVANK Abad, M Khandelwal
Environmental Earth Sciences 74 (4), 2845-2860, 2015
1542015
Application of Artificial Neural Network for Predicting Shaft and Tip Resistances of Concrete Piles
E Momeni, R Nazir, DJ Armaghani, H Maizir
Earth Sciences Research Journal 19 (1), 85-93, 2015
1422015
Performance prediction of tunnel boring machine through developing a gene expression programming equation
D Jahed Armaghani, RS Faradonbeh, E Momeni, A Fahimifar, MM Tahir
Engineering with Computers 34 (1), 129-141, 2018
1102018
Gaussian process regression technique to estimate the pile bearing capacity
E Momeni, MB Dowlatshahi, F Omidinasab, H Maizir, DJ Armaghani
Arabian Journal for Science and Engineering 45 (10), 8255-8267, 2020
932020
An efficient optimal neural network based on gravitational search algorithm in predicting the deformation of geogrid-reinforced soil structures
E Momeni, A Yarivand, MB Dowlatshahi, DJ Armaghani
Transportation Geotechnics 26, 100446, 2021
822021
An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity
DJ Armaghani, H Harandizadeh, E Momeni, H Maizir, J Zhou
Artificial Intelligence Review 55 (3), 2313-2350, 2022
772022
Experimental and intelligent techniques to estimate bearing capacity of cohesive soft soils reinforced with soil-cement columns
AR Bunawan, E Momeni, DJ Armaghani, ASA Rashid
Measurement 124, 529-538, 2018
662018
Prediction of unconfined compressive strength of limestone rock samples using L-type Schmidt hammer
R Nazir, E Momeni, DJ Armaghani, MF Mohd Amin
Electr J Geotech Eng 18, 1767-1775, 2013
612013
Prediction of bearing capacity of thin-walled foundation: a simulation approach
E Momeni, DJ Armaghani, SA Fatemi, R Nazir
Engineering with Computers 34 (2), 319-327, 2018
502018
Bearing capacity of thin-walled shallow foundations: an experimental and artificial intelligence-based study
H Rezaei, R Nazir, E Momeni
J Zhejiang Univ Sci A 17, 273-285, 2016
492016
Application of group method of data handling technique in assessing deformation of rock mass
DJ Armaghani, E Momeni, PG Asteris
1 1 (1), 001, 2020
432020
Prediction of unconfined compressive strength of rocks: a review paper
E Momeni, R Nazir, DJ Armaghani, ET Mohamad
Jurnal Teknologi 77 (11), 43-50, 2015
392015
Comparative study on prediction of axial bearing capacity of driven piles in granular materials
E Momeni, H Maizir, N Gofar, R Nazir
Jurnal Teknologi 61 (3), 15-20, 2013
392013
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