Danial Jahed Armaghani, PhD

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Prof. Dr. Edy Tonnizam MohamadProfessor, Centre of Tropical Geoengineering (GEOTROPIK), Faculty of Civil Engineering, UTMZweryfikowany adres z utm.my
Panagiotis G. AsterisProfessor, School of Pedagogical and Technological Education, Athens, GreeceZweryfikowany adres z aspete.gr
Jian ZhouProfessor, School of Resources and Safety Engineering, Central South UniversityZweryfikowany adres z csu.edu.cn
Mohammadreza KoopialipoorZweryfikowany adres z aut.ac.ir
Masoud MonjeziTarbiat Modares University, Tehran, IranZweryfikowany adres z modares.ac.ir
Mohsen HajihassaniAssociate Professor, Department of Mining, Faculty of Engineering, Urmia UniversityZweryfikowany adres z urmia.ac.ir
Manoj KhandelwalFederation University AustraliaZweryfikowany adres z federation.edu.au
Ahmed Salih MohammedAssociate professor, College of Engineering , University of Sulaimani, Kurdistan, Region, IraqZweryfikowany adres z univsul.edu.iq
Professor Pijush SamuiProfessor, Dean(P &D), NIT Patna;Guest Professor, USTB Beijing; Title of Docent, Tampere UniversityZweryfikowany adres z nitp.ac.in
Saffet YagizNazarbayev University, KazakhstanZweryfikowany adres z nu.edu.kz
LAI SAI HINProfessor of Water ResourcesZweryfikowany adres z unimas.my
Ahmadreza HedayatColorado School of MinesZweryfikowany adres z mines.edu
Daichao ShengUniversity of Technology SydneyZweryfikowany adres z uts.edu.au
TN SinghIndian Institute of Technology PatnaZweryfikowany adres z iitb.ac.in
S Soheil Jahandari; PhDDirector of CHEM CONCRETE | PhD in Concrete Waterproofing/Durability | Western Sydney UniversityZweryfikowany adres z chemconcrete.com.au
Amir H. GandomiProfessor, University of Technology Sydney, Obuda UniversityZweryfikowany adres z msu.edu
Professor Biswajeet Pradhan, SMIEEE...Distinguished Prof. & Director, CAMGIS Center, University of Technology Sydney, AustraliaZweryfikowany adres z uts.edu.au
Yang Hai-QingSchool of Civil Engineering, Chongqing University, ChinaZweryfikowany adres z cqu.edu.cn
Mahdi Hasanipanah, Ph.DRanked World Top 2% Scientist

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Danial Jahed Armaghani, PhD

University of Technology Sydney

Zweryfikowany adres z uts.edu.au - Strona główna

Rock Mechanics Tunneling Artificial Intelligence Blasting Geotechnics


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	422	2014
Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition DJ Armaghani, ET Mohamad, MS Narayanasamy, N Narita, S Yagiz Tunnelling and Underground Space Technology 63, 29-43, 2017	413	2017
Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization DJ Armaghani, M Hajihassani, ET Mohamad, A Marto, SA Noorani Arabian Journal of Geosciences 7, 5383-5396, 2014	405	2014
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	385	2015
A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength DJ Armaghani, PG Asteris Neural Computing and Applications 33 (9), 4501-4532, 2021	377	2021
Prediction of seismic slope stability through combination of particle swarm optimization and neural network B Gordan, D Jahed Armaghani, M Hajihassani, M Monjezi Engineering with computers 32, 85-97, 2016	372	2016
Feasibility of indirect determination of blast induced ground vibration based on support vector machine M Hasanipanah, M Monjezi, A Shahnazar, DJ Armaghani, A Farazmand Measurement 75, 289-297, 2015	296	2015
Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm M Hajihassani, DJ Armaghani, A Marto, ET Mohamad Bulletin of Engineering Geology and the Environment 74 (3), 873, 2015	278	2015
Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling M Hasanipanah, M Noorian-Bidgoli, D Jahed Armaghani, H Khamesi Engineering with Computers 32, 705-715, 2016	276	2016
Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate J Zhou, Y Qiu, S Zhu, DJ Armaghani, C Li, H Nguyen, S Yagiz Engineering Applications of Artificial Intelligence 97, 104015, 2021	275	2021
Predicting TBM penetration rate in hard rock condition: a comparative study among six XGB-based metaheuristic techniques J Zhou, Y Qiu, DJ Armaghani, W Zhang, C Li, S Zhu, R Tarinejad Geoscience Frontiers 12 (3), 101091, 2021	248	2021
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, 745-757, 2015	242	2015
Prediction and optimization of back-break and rock fragmentation using an artificial neural network and a bee colony algorithm E Ebrahimi, M Monjezi, MR Khalesi, DJ Armaghani Bulletin of Engineering Geology and the Environment 75, 27-36, 2016	239	2016
Random forests and cubist algorithms for predicting shear strengths of rockfill materials J Zhou, E Li, H Wei, C Li, Q Qiao, DJ Armaghani Applied sciences 9 (8), 1621, 2019	235	2019
Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization M Hajihassani, DJ Armaghani, H Sohaei, ET Mohamad, A Marto Applied Acoustics 80, 57-67, 2014	231	2014
Supervised machine learning techniques to the prediction of tunnel boring machine penetration rate H Xu, J Zhou, P G. Asteris, D Jahed Armaghani, MM Tahir Applied sciences 9 (18), 3715, 2019	226	2019
Developing a hybrid PSO–ANN model for estimating the ultimate bearing capacity of rock-socketed piles D Jahed Armaghani, RSNSBR Shoib, K Faizi, ASA Rashid Neural Computing and Applications 28, 391-405, 2017	221	2017
Application of several optimization techniques for estimating TBM advance rate in granitic rocks DJ Armaghani, M Koopialipoor, A Marto, S Yagiz Journal of Rock Mechanics and Geotechnical Engineering 11 (4), 779-789, 2019	218	2019
Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions M Koopialipoor, D Jahed Armaghani, A Hedayat, A Marto, B Gordan Soft Computing 23, 5913-5929, 2019	217	2019
Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization J Zhou, Y Qiu, S Zhu, DJ Armaghani, M Khandelwal, ET Mohamad Underground Space 6 (5), 506-515, 2021	208	2021

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