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Alireza Afradi
Alireza Afradi
Department of Mining and Geology, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran
Verified email at mailfa.com
Title
Cited by
Cited by
Year
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
342019
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
282018
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
242020
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
192020
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, 2021
152021
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
142021
Optimum selection of tunnel boring machine by using fuzzy analytical hierarchy process: A case study of Behesht Abad tunnel
A Ebrahimabadi, A Afradi
Int. Trans. J. Eng. Manage. Appl. Sci. Technol 10 (3), 445-452, 2019
52019
Selecting the most suitable method for extracting construction materials in Iran through the fuzzy multi-attribute decision-making model
A Afradi, I Alavi, M Moslemi
Journal of the Institution of Engineers (india): Series D 102, 113-123, 2021
42021
Stability analysis and support design of Imam Reza Tunnel in Ardabil Sarcham Road by numerical methods
A Afradi, S Rezazadeh
Civil Engineering Journal 4 (1), 151-178, 2018
32018
Prediction of the number of consumed disc cutters of tunnel boring machine using intelligent methods
A Afradi, A Ebrahimabadi, T Hallajian
Min. Miner. Depos 15, 68-74, 2021
22021
Using PROMETHEE method in prioritizing of plant species planting to reclamation of Sungun copper mine
A Afradi, S Rezazadeh, I Alavi
EurAsian Journal of BioSciences 11 (1), 1-11, 2017
22017
Alkali metal-doped borospherenes M@C4B32 (M = K, Na, and Li) as a highly efficient alternative for the drug delivery
M Shabani Gokeh, A Afradi, RA Obeid, SA Abdullah Fatah, YS Alnassar, ...
Journal of Molecular Modeling 29 (5), 147, 2023
12023
Selecting the best mining method using analytical and numerical methods
A Afradi, I Alavi, M Moslemi
Journal of Sedimentary Environments 6 (3), 403-415, 2021
12021
Prediction of TBM penetration rate using support vector machine
A AFRADI, A EBRAHIMABADI, T Hallajian
GEOSABERES: Revista de Estudos Geoeducacionais 11, 467-479, 2020
12020
Performance Prediction of a Hard Rock TBM using Statistical and Artificial Intelligence Methods
A Afradi, A Ebrahimabadi, M Hedayatzadeh
Journal of Mining and Environment 15 (1), 323-343, 2024
2024
ارائه مدلی برای پیش بینی میزان مصرف تیغه رودهدر در معادن مکانیزه زغال‌سنگ
ابراهیم آبادی, رحیمی قاضی کلایه, افرادی
علوم و فنون سازندگی 3 (4), 25-30, 2023
2023
A model to predict the pick consumption of Roadheaders in mechanized coal mines
A Ebrahimabadi, A Rahimi Ghazikalayeh, A Afradi
Construction science and technology 3 (4), 25-30, 2023
2023
Mining of Mineral Deposits
A Afradi, A Ebrahimabadi, T Hallajian
2021
PREDICTION OF TBM PENETRATION RATE OF WATER CONVEYANCE TUNNELS IN IRAN USING MODERN METHODS
A Afradi, A Ebrahimabadi, T Hallajian
Stavební obzor-Civil Engineering Journal 29 (4), 2020
2020
Previsão da taxa de penetração TBM utilizando máquina de vetor de suporte
A Afradi, A Ebrahimabadi, T Hallajian
Geosaberes, 2020
2020
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