Παρακολούθηση
Arash Ebrahimabadi
Arash Ebrahimabadi
Department of Petroleum, Mining and Materials Engineering, Central Tehran Branch, IAU
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα iauctb.ac.ir
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Impact of weathering on slope stability in soft rock mass
P Miščević, G Vlastelica
Journal of Rock Mechanics and Geotechnical Engineering 6 (3), 240-250, 2014
1782014
Prediction of roadheaders' performance using artificial neural network approaches (MLP and KOSFM)
A Ebrahimabadi, M Azimipour, A Bahreini
Journal of Rock Mechanics and Geotechnical Engineering 7 (5), 573-583, 2015
592015
A model to predict the performance of roadheaders based on the Rock Mass Brittleness Index
A Ebrahimabadi, K Goshtasbi, K Shahriar, M Cheraghi Seifabad
Journal of the Southern African Institute of Mining and Metallurgy 111 (5 …, 2011
512011
Roadheader performance prediction using genetic programming (GP) and gene expression programming (GEP) techniques
R Shirani Faradonbeh, A Salimi, M Monjezi, A Ebrahimabadi, ...
Environmental earth sciences 76, 1-12, 2017
492017
Prediction of the penetration rate and number of consumed disc cutters of tunnel boring machines (TBMs) using artificial neural network (ANN) and support vector machine (SVM …
A Afradi, A Ebrahimabadi, T Hallajian
Asian Journal of Water, Environment and Pollution 16 (1), 49-57, 2019
392019
Comparing two methods of PROMETHEE and Fuzzy TOPSIS in selecting the best plant species for the reclamation of Sarcheshmeh copper mine
A Ebrahimabadi, M Pouresmaieli, A Afradi, E Pouresmaeili, S Nouri
Asian journal of water, Environment and Pollution 15 (2), 141-152, 2018
332018
Predictive models for roadheaders’ cutting performance in coal measure rocks
A Ebrahimabadi, K Goshtasbi, K Shahriar, M Cheraghi Seifabad
Yerbilimleri 32 (2), 89-104, 2011
322011
Comparison of artificial neural networks (ANN), support vector machine (SVM) and gene expression programming (GEP) approaches for predicting TBM penetration rate
A Afradi, A Ebrahimabadi
SN Applied Sciences 2, 1-16, 2020
312020
Trend analysis and comparison of basic parameters for tunnel blast design models
K Soroush, Y Mehdi, E Arash
International Journal of Mining Science and Technology 25 (4), 595-599, 2015
292015
Integration of fractal modeling and correspondence analysis reconnaissance for geochemically high-potential promising areas, NE Iran
SA Hosseini, NKF Khah, P Kianoush, P Afzal, A Ebrahimabadi, ...
Results in Geochemistry 11, 100026, 2023
272023
Wellbore stability in a depleted reservoir by finite element analysis of coupled thermo-poro-elastic units in an Oilfield, SW Iran
A Pirhadi, P Kianoush, A Ebrahimabadi, R Shirinabadi
Results in Earth Sciences 1, 100005, 2023
222023
Prediction of TBM penetration rate using fuzzy logic, particle swarm optimization and harmony search algorithm
A Afradi, A Ebrahimabadi, T Hallajian
Geotechnical and Geological Engineering, 1-24, 2022
222022
Tilt angle filter effect on noise cancelation and structural edges detection in hydrocarbon sources in a gravitational potential field
SA Hosseini, NKF Khah, P Kianoush, Y Arjmand, A Ebrahimabadi, ...
Results in Geophysical Sciences 14, 100061, 2023
212023
Prediction of tunnel boring machine penetration rate using ant colony optimization, bee colony optimization and the particle swarm optimization, case study: Sabzkooh water …
A Afradi, A Ebrahimabadi, T Hallajian
Mining of Mineral Deposits, 2020
212020
Prediction of TBM penetration rate using the imperialist competitive algorithm (ICA) and quantum fuzzy logic
A Afradi, A Ebrahimabadi
Innovative Infrastructure Solutions 6 (2), 103, 2021
182021
Optimum design of water-based drilling fluid in shale formations in Khangiran oilfields
R Ghamarpoor, A Ebrahimabadi
Progress in Industrial Ecology, an International Journal 13 (1), 42-62, 2019
182019
Geobody estimation by Bhattacharyya method utilizing nonlinear inverse modeling of magnetic data in Baba-Ali iron deposit, NW Iran
P Kianoush, NKF Khah, SA Hosseini, E Jamshidi, P Afzal, ...
Heliyon 9 (11), 2023
172023
Using graphite nanoparticles for optimum design of water-based drilling fluid (Case study: Azadegan oil field)
R Rostami, A Ebrahimabadi, M Bakhshandeh
EurAsian Journal of BioSciences 11 (1), 16-21, 2017
162017
A universal model to predict roadheaders’ cutting performance
A Ebrahimabadi, K Goshtasbi, K Shahriar, MC Seifabad
Archives of Mining Sciences 57 (4), 2012
142012
Plant Type Selection for Reclamation of Sarcheshmeh Copper Mine Using Fuzzy-Topsis Approach/Wybór Gatunków Roślin Do Wykorzystania W Projekcie Rekultywacji Terenów Kopalni …
A Ebrahimabadi, I Alavi
Archives of mining sciences, 2013
122013
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