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Mohammad Najafzadeh
Titlu
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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
1892020
Scour prediction in long contractions using ANFIS and SVM
M Najafzadeh, A Etemad-Shahidi, SY Lim
Ocean Engineering 111, 128-135, 2016
1622016
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
1412015
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
1382016
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
1362011
GMDH to predict scour depth around a pier in cohesive soils
M Najafzadeh, GA Barani, HM Azamathulla
Applied Ocean Research 40, 35-41, 2013
1312013
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
1242019
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
1192016
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
1142018
Flood risk mapping by remote sensing data and random forest technique
H Farhadi, M Najafzadeh
Water 13 (21), 3115, 2021
1052021
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
1022021
Application of improved neuro-fuzzy GMDH to predict scour depth at sluice gates
M Najafzadeh, SY Lim
Earth Science Informatics 8, 187-196, 2015
1022015
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
952019
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
902019
A novel multiple-kernel support vector regression algorithm for estimation of water quality parameters
M Najafzadeh, S Niazmardi
Natural Resources Research 30 (5), 3761-3775, 2021
852021
Riprap incipient motion for overtopping flows with machine learning models
M Najafzadeh, G Oliveto
Journal of Hydroinformatics 22 (4), 749-767, 2020
842020
GMDH based back propagation algorithm to predict abutment scour in cohesive soils
M Najafzadeh, GA Barani, MRH Kermani
Ocean Engineering 59, 100-106, 2013
832013
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
802022
Group method of data handling to predict scour depth around bridge piers
M Najafzadeh, HM Azamathulla
Neural Computing and Applications 23, 2107-2112, 2013
802013
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
792014
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