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Alireza Afradi

Observed names: A. Afradi, Arash Ebrahimabadi, Alireza Afradi, А. АФРАДИ
ORCID: 0000-0002-1071-3990
Observed ORCID: 0000-0002-1071-3990
OpenAlex ID: A5015302522
Comparison of artificial neural networks (ANN), support vector machine (SVM) and gene expression programming (GEP) approaches for predicting TBM penetration rate
2020 · Alireza Afradi, Arash Ebrahimabadi · SN Applied Sciences · 38
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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)—Case Study: Beheshtabad Water Conveyance Tunnel in Iran
2019 · Alireza Afradi, Arash Ebrahimabadi, et al. · Asian Journal of Water Environment and Pollution · 37
Prediction of TBM Penetration Rate Using Fuzzy Logic, Particle Swarm Optimization and Harmony Search Algorithm
2021 · Alireza Afradi, Arash Ebrahimabadi, et al. · Geotechnical and Geological Engineering · 29
Prediction of tunnel boring machine penetration rate using ant colony optimization, bee colony optimization and the particle swarm optimization, case study: Sabzkooh water conveyance tunnel
2020 · Alireza Afradi, Arash Ebrahimabadi, et al. · Mining of Mineral Deposits · 26
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Prediction of TBM penetration rate using the imperialist competitive algorithm (ICA) and quantum fuzzy logic
2021 · Alireza Afradi, Arash Ebrahimabadi · Innovative Infrastructure Solutions · 20
Comparing Two Methods of PROMETHEE and Fuzzy TOPSIS in Selecting the Best Plant Species for the Reclamation of Sarcheshmeh Copper Mine
2018 · Arash Ebrahimabadi, Mahdi Pouresmaieli, et al. · Asian Journal of Water Environment and Pollution · 20
Prediction of Rate of Penetration (rop) in Petroleum Drilling Operations Using Optimization Algorithms
2024 · Arash Ebrahimabadi, Alireza Afradi · Rudarsko-geološko-naftni zbornik · 10
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Prediction of Tbm Penetration Rate Using Support Vector Machine
2020 · Alireza Afradi, Arash Ebrahimabadi, et al. · Geosaberes · 10
Prediction of the number of consumed disc cutters of tunnel boring machine using intelligent methods
2021 · Alireza Afradi, Arash Ebrahimabadi, et al. · Mining of Mineral Deposits · 9
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Selecting the best mining method using analytical and numerical methods
2021 · Alireza Afradi, Iraj Alavi, et al. · Journal of Sedimentary Environments · 5
Recent developments in chitosan-based adsorbents for tetracycline removal: A mini-review
2025 · Alireza Pishevar, Milad Khanchoupan, et al. · Synthesis and Sintering · 4
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Prediction of Tbm Penetration Rate of Water Conveyance Tunnels in Iran Using Modern Methods
2020 · Alireza Afradi, Arash Ebrahimabadi, et al. · Stavební obzor · 4
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Selecting the Most Suitable Method for Extracting Construction Materials in Iran Through the Fuzzy Multi-attribute Decision-Making Model
2020 · Alireza Afradi, Iraj Alavi, et al. · Journal of The Institution of Engineers (India) Series D · 4
Recent advances in synthesis, properties, and applications of nano-zero valent iron: A promising material for environmental remediation
2024 · Mohammad Ghaffarzadeh, Reza Rasouli Khorjestan, et al. · Synthesis and Sintering · 3
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RETRACTED ARTICLE: Alkali metal-doped borospherenes M@C4B32 (M = K, Na, and Li) as a highly efficient alternative for the drug delivery
2023 · Masoumeh Shabani Gokeh, Alireza Afradi, et al. · Journal of Molecular Modeling · 3
Stability Analysis and Support Design of Imam Reza Tunnel in Ardabil Sarcham Road by Numerical Methods
2018 · Alireza Afradi, Siamak Rezazadeh · Civil Engineering Journal · 3
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Performance Prediction of Roadheaders Using Support Vector Machine (svm), Firefly Algorithm (fa) and Bat Algorithm (ba)
2025 · Arash Ebrahimabadi, Alireza Afradi · Rudarsko-geološko-naftni zbornik · 2
Predicting the Weight and Type of Drilling Mud by Machine Learning Method
2026 · Amin Tohidi, Alireza Afradi · Rudarsko-geološko-naftni zbornik
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Применение Искусственной Нейронной Сети Для Прогнозирования Производительности Проходческого Комплекса При Прокладке Водопроводных Тоннелей
2025 · А. АФРАДИ, А. ИБРАХИМАБАДИ, et al. · Физико-технические проблемы разработки полезных ископаемых
An Artificial Neural Network Approach to Predict the Performance of Tunnel Boring Machines: A Case Study of Water Conveyance Tunnels in Iran
2025 · A. Afradi, A. Ebrahimabadi, et al. · Journal of Mining Science
Retraction Note: Alkali metal-doped borospherenes M@C4B32 (M = K, Na, and Li) as a highly efficient alternative for the drug delivery
2024 · Masoumeh Shabani Gokeh, Alireza Afradi, et al. · Journal of Molecular Modeling
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Review of: "Selection of an engineering institution: Students’ perceptions of choice characteristics and suitability under the COVID-19 pandemic"
2022 · Alireza Afradi
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Using PROMETHEE Method in Prioritizing of Plant Species Planting to Reclamation of Sungun Copper Mine
2017 · Alireza Afradi, Siamak Rezazadeh, et al. · Eurasian Journal of Biosciences
Works count: 24
Citation count: 227
H-index: 9
I10-index: 8
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