关注
Mohammad Najafzadeh
标题
引用次数
引用次数
年份
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
1712020
Scour prediction in long contractions using ANFIS and SVM
M Najafzadeh, A Etemad-Shahidi, SY Lim
Ocean Engineering 111, 128-135, 2016
1492016
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
1332015
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
1332011
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
1282016
GMDH to predict scour depth around a pier in cohesive soils
M Najafzadeh, GA Barani, HM Azamathulla
Applied Ocean Research 40, 35-41, 2013
1282013
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
1142016
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
1102019
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
1032018
Application of improved neuro-fuzzy GMDH to predict scour depth at sluice gates
M Najafzadeh, SY Lim
Earth Science Informatics 8, 187-196, 2015
992015
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
922021
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
872019
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
832019
Riprap incipient motion for overtopping flows with machine learning models
M Najafzadeh, G Oliveto
Journal of Hydroinformatics 22 (4), 749-767, 2020
772020
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
772014
Group method of data handling to predict scour depth around bridge piers
M Najafzadeh, HM Azamathulla
Neural Computing and Applications 23, 2107-2112, 2013
772013
GMDH based back propagation algorithm to predict abutment scour in cohesive soils
M Najafzadeh, GA Barani, MRH Kermani
Ocean Engineering 59, 100-106, 2013
772013
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
742022
Prognostication of waste water treatment plant performance using efficient soft computing models: an environmental evaluation
M Najafzadeh, M Zeinolabedini
Measurement 138, 690-701, 2019
732019
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
系统目前无法执行此操作,请稍后再试。
文章 1–20