Receiving More Accurate Predictions for Longitudinal Dispersion Coefficients in Water Pipelines: Training Group Method of Data Handling Using Extreme Learning Machine Conceptions F Saberi-Movahed, M Najafzadeh, A Mehrpooya Water Resources Management 34, 529–561, 2020 | 171 | 2020 |
Scour prediction in long contractions using ANFIS and SVM M Najafzadeh, A Etemad-Shahidi, SY Lim Ocean Engineering 111, 128-135, 2016 | 149 | 2016 |
Neuro-fuzzy GMDH to predict the scour pile groups due to waves M Najafzadeh, HM Azamathulla Journal of Computing in Civil Engineering 29 (5), 04014068, 2015 | 133 | 2015 |
Comparison of group method of data handling based genetic programming and back propagation systems to predict scour depth around bridge piers M Najafzadeh, GA Barani Scientia Iranica 18 (6), 1207-1213, 2011 | 133 | 2011 |
Prediction of maximum scour depth around piers with debris accumulation using EPR, MT, and GEP models M Najafzadeh, M Rezaie Balf, E Rashedi Journal of Hydroinformatics 18 (5), 867-884, 2016 | 128 | 2016 |
GMDH to predict scour depth around a pier in cohesive soils M Najafzadeh, GA Barani, HM Azamathulla Applied Ocean Research 40, 35-41, 2013 | 128 | 2013 |
Evaluation of neuro-fuzzy GMDH-based particle swarm optimization to predict longitudinal dispersion coefficient in rivers M Najafzadeh, A Tafarojnoruz Environmental Earth Sciences 75, 1-12, 2016 | 114 | 2016 |
Prediction of the five-day biochemical oxygen demand and chemical oxygen demand in natural streams using machine learning methods M Najafzadeh, A Ghaemi Environmental Monitoring and Assessment 191 (6), 380, 2019 | 110 | 2019 |
NF-GMDH-Based self-organized systems to predict bridge pier scour depth under debris flow effects M Najafzadeh, F Saberi-Movahed, S Sarkamaryan Marine Georesources & Geotechnology 36 (5), 589-602, 2018 | 103 | 2018 |
Application of improved neuro-fuzzy GMDH to predict scour depth at sluice gates M Najafzadeh, SY Lim Earth Science Informatics 8, 187-196, 2015 | 99 | 2015 |
Reliability assessment of water quality index based on guidelines of national sanitation foundation in natural streams: Integration of remote sensing and data-driven models M Najafzadeh, F Homaei, H Farhadi Artificial Intelligence Review 54 (6), 4619-4651, 2021 | 92 | 2021 |
GMDH-GEP to predict free span expansion rates below pipelines under waves M Najafzadeh, F Saberi-Movahed Marine Georesources & Geotechnology 37 (3), 375-392, 2019 | 87 | 2019 |
Prediction of water quality parameters using evolutionary computing-based formulations M Najafzadeh, A Ghaemi, S Emamgholizadeh International Journal of Environmental Science and Technology 16, 6377-6396, 2019 | 83 | 2019 |
Riprap incipient motion for overtopping flows with machine learning models M Najafzadeh, G Oliveto Journal of Hydroinformatics 22 (4), 749-767, 2020 | 77 | 2020 |
Prediction of pipeline scour depth in clear-water and live-bed conditions using group method of data handling M Najafzadeh, GA Barani, HM Azamathulla Neural Computing and Applications 24, 629-635, 2014 | 77 | 2014 |
Group method of data handling to predict scour depth around bridge piers M Najafzadeh, HM Azamathulla Neural Computing and Applications 23, 2107-2112, 2013 | 77 | 2013 |
GMDH based back propagation algorithm to predict abutment scour in cohesive soils M Najafzadeh, GA Barani, MRH Kermani Ocean Engineering 59, 100-106, 2013 | 77 | 2013 |
Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods F Saberi-Movahed, M Mohammadifard, A Mehrpooya, M Rezaei-Ravari, ... Computers in biology and medicine 146, 105426, 2022 | 74 | 2022 |
Prognostication of waste water treatment plant performance using efficient soft computing models: an environmental evaluation M Najafzadeh, M Zeinolabedini Measurement 138, 690-701, 2019 | 73 | 2019 |
Abutment scour in clear-water and live-bed conditions by GMDH network M Najafzadeh, GA Barani, MRH Kermani Water Science and Technology 67 (5), 1121-1128, 2013 | 73* | 2013 |