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Javad Mahjoobi
Javad Mahjoobi
Iran water resources management company,Yazd Regional Water Authority, Iran
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Comparison between M5′ model tree and neural networks for prediction of significant wave height in Lake Superior
A Etemad-Shahidi, J Mahjoobi
Ocean Engineering 36 (15-16), 1175-1181, 2009
2422009
Prediction of significant wave height using regressive support vector machines
J Mahjoobi, EA Mosabbeb
Ocean Engineering 36 (5), 339-347, 2009
2212009
Hindcasting of wave parameters using different soft computing methods
J Mahjoobi, A Etemad-Shahidi, MH Kazeminezhad
Applied Ocean Research 30 (1), 28-36, 2008
1802008
An alternative approach for the prediction of significant wave heights based on classification and regression trees
J Mahjoobi, A Etemad-Shahidi
Applied Ocean Research 30 (3), 172-177, 2008
1422008
Estimation of suspended sediment load using regression trees and model trees approaches (Case study: Hyderabad drainage basin in Iran)
A Talebi, J Mahjoobi, MT Dastorani, V Moosavi
ISH Journal of Hydraulic Engineering 23 (2), 212-219, 2017
392017
Prediction of scour depth at breakwaters due to non-breaking waves using machine learning approaches
A Pourzangbar, M Brocchini, A Saber, J Mahjoobi, M Mirzaaghasi, ...
Applied Ocean Research 63, 120-128, 2017
382017
Evaluation of regular wave scour around a circular pile using data mining approaches
MK Ayoubloo, A Etemad-Shahidi, J Mahjoobi
Applied Ocean Research 32 (1), 34-39, 2010
382010
Combining group method of data handling with signal processing approaches to improve accuracy of groundwater level modeling
V Moosavi, J Mahjoobi, M Hayatzadeh
Natural Resources Research 30 (2), 1735-1754, 2021
192021
Application of machine learning approaches in rainfall-runoff modeling (Case Study: Zayandeh_Rood Basin in Iran)
MT Dastorani, J Mahjoobi, A Talebi, F Fakhar
Civil Engineering Infrastructures Journal 51 (2), 293-310, 2018
192018
Determination of optimized sediment rating equation and its relationship with physical characteristics of watershed in semiarid regions: A case study of Pol-Doab watershed, Iran
A Talebi, A Bahrami, M Mardian, J Mahjoobi
DESERT (BIABAN) 20 (2), 135-144, 2015
162015
Prediction of scour depth in downstream of ski-jump spillways using soft computing techniques
MK Ayoubloo, HM Azamathulla, Z Ahmad, AA Ghani, J Mahjoobi, ...
International Journal of Computers and Applications 33 (1), 92-97, 2011
162011
Evaluation of the Decision Tree Model in Precipitation Prediction (Case study: Yazd Synoptic Station)
MT Dastourani, A Habibipoor, MR Ekhtesasi, A Talebi, J Mahjoobi
Iran-Water Resources Research 8 (3), 14-27, 2013
102013
Application of meta‐heuristic models for local scour evaluation
J Mahjoobi, A Sabzianpoor, E Jabbari
AIP conference proceedings 1303 (1), 389-397, 2010
72010
Optimal design of pumped pipeline systems using genetic algorithm and mathematical optimization
M Afshar, J Mahjoobi
Journal of water & wastewater, 35-48, 2008
42008
Prediction of significant wave height based on regression trees
A Etemad-Shahidi, J Mahjoobi
32008
Digital Mapping of Snow Water Equivalent Using an Artificial Neural Network and Geomorphometric Parameters (Case Study: Sakhvid Watershed, Yazd)
S EBDAM, ALI FATHZADEH, MR TAGHIZADEH, J MAHJOOBI
JOURNAL OF WATERSHED MANAGEMENT RESEARCH 7 (13), 138-149, 2016
12016
Application of decision tree techniques for the Prediction of Significant Wave Height
J Mahjoobi, AE Shahidi
OCEANS 2007, 1-4, 2007
12007
Investigating the Performance of Data Mining Models in Rainfall Forecasting and Drought Analysis of Bandar Abbas Synoptic Station
E Mahjoobi, H Abdolabadi, J Mahjoobi, E Ghafoori
Water and Irrigation Management 13 (2), 429-499, 2023
2023
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J Mahjoobi, A Sabzianpoor, E Jabbari
Proceedings, Volume 1303, 389-397, 2010
2010
Reply to: A Discussion on “Hindcasting of wave parameters using different soft computing methods”[Appl. Ocean Res.(2008), doi: 10.1016/j. apor. 2008.03. 002]
MH Kazeminezhad, J Mahjoobi, A Etemad-Shahidi
Applied Ocean Research 30 (2), 154, 2008
2008
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Artículos 1–20