Application of TOPSIS and VIKOR improved versions in a multi criteria decision analysis to develop an optimized municipal solid waste management model MA Mir, PT Ghazvinei, NMN Sulaiman, NEA Basri, S Saheri, ... Journal of environmental management 166, 109-115, 2016 | 214 | 2016 |
Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network P Taherei Ghazvinei, H Hassanpour Darvishi, A Mosavi, KW Yusof, ... Engineering Applications of Computational Fluid Mechanics 12 (1), 738-749, 2018 | 151 | 2018 |
Forecasting pan evaporation with an integrated artificial neural network quantum-behaved particle swarm optimization model: a case study in Talesh, Northern Iran M Ali Ghorbani, R Kazempour, KW Chau, S Shamshirband, ... Engineering Applications of Computational Fluid Mechanics 12 (1), 724-737, 2018 | 147 | 2018 |
The effect of pile spacing and arrangement on bed formation and scour hole dimensions in pile groups N Solaimani, A Amini, H Banejad, P Taherei Ghazvinei International Journal of River Basin Management 15 (2), 219-225, 2017 | 35 | 2017 |
Mapping of regional potential groundwater springs using logistic regression statistical method J Zandi, PT Ghazvinei, R Hashim, KBW Yusof, J Ariffin, S Motamedi Water Resources 43, 48-57, 2016 | 35 | 2016 |
A hybrid intelligence approach to enhance the prediction accuracy of local scour depth at complex bridge piers D Tien Bui, A Shirzadi, A Amini, H Shahabi, N Al-Ansari, S Hamidi, ... Sustainability 12 (3), 1063, 2020 | 34 | 2020 |
Evaluating the impacts of watershed management on runoff storage and peak flow in Gav-Darreh watershed, Kurdistan, Iran A Amini, PT Ghazvinei, M Javan, B Saghafian Arabian Journal of Geosciences 7, 3271-3279, 2014 | 32 | 2014 |
University campus solid waste management: combining life cycle assessment and analytical hierarchy process PT Ghazvinei, MA Mir, HH Darvishi, J Ariffin Springer, 2017 | 14 | 2017 |
Forecasting pan evaporation with an integrated artificial neural network quantum-behaved particle swarm optimization model: a case study in Talesh, Northern Iran. Eng Appl … MA Ghorbani, R Kazempour, KW Chau, S Shamshirband, PT Ghazvinei | 11 | 2018 |
Electrokinetic Injection in Highly Organic Soil—A Review H Moayedi, BBK Huat, TAM Ali, SA Moghaddam, PT Ghazvinei Electronic J. Geotechn. Eng 15, 1593-1598, 2010 | 11 | 2010 |
Scour hazard assessment and bridge abutment instability analysis PT Ghazvinei, TA Mohamed, AH Ghazali, BK Huat Electron. J. Geotech. Eng 17, 2213-2224, 2012 | 10 | 2012 |
Performance investigation of the dam intake physical hydraulic model using Support Vector Machine with a discrete wavelet transform algorithm PT Ghazvinei, S Shamshirband, S Motamedi, HH Darvishi, E Salwana Computers and electronics in agriculture 140, 48-57, 2017 | 9 | 2017 |
& Aghamohammadi, N.(2016). Application of TOPSIS and VIKOR improved versions in a multi criteria decision analysis to develop an optimized municipal solid waste management model MA Mir, PT Ghazvinei, NMN Sulaiman, NEA Basri, S Saheri, ... Journal of environmental management 166, 109-115, 0 | 8 | |
MTP validation analysis of scour formulae in an integral abutment bridge PT Ghazvinei, H Hassanpour Darvishi, J Ariffin, SH Musavi Jahromi, ... KSCE Journal of Civil Engineering 21, 1009-1021, 2017 | 6 | 2017 |
Assessment of Local Scour at Bridges Abutment PT Ghazvinei Research Journal of Applied Sciences, Engineering and Technology, 2014 | 6 | 2014 |
Evaluation of the accuracy of soft computing learning algorithms in performance prediction of tidal turbine SS Band, P Taherei Ghazvinei, K bin Wan Yusof, M Hossein Ahmadi, ... Energy Science & Engineering 9 (5), 633-644, 2021 | 5 | 2021 |
Sustainable power generation by tidal current turbine in straits of Malacca PT Ghazvinei, HH Darvishi, A Bhatia MATEC Web of Conferences 198, 04004, 2018 | 5 | 2018 |
Contraction scour analysis at protruding bridge abutments SA Pezhman Taherei Ghazvinei Proceedings of the Institution of Civil Engineers- Bridge Engineering, 2015 | 5* | 2015 |
Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network. Eng Appl Comput Fluid Mech 12 (1): 738–749 PT Ghazvinei, HH Darvishi, A Mosavi, KBW Yusof, M Alizamir, ... | 3* | 2018 |
Numerical investigation on the hydrodynamic performance of variable length blade tidal turbine: an attribute to enhance energy capture F Arzu, HH Darvishi, RB Hashim, P Taherei Ghazvinei, MR Soeb IET Renewable Power Generation 11 (3), 347-352, 2017 | 3 | 2017 |