Rahman Khatibi
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Sea water level forecasting using genetic programming and comparing the performance with artificial neural networks
MA Ghorbani, R Khatibi, A Aytek, O Makarynskyy, J Shiri
Computers & Geosciences 36 (5), 620-627, 2010
Investigating chaos in river stage and discharge time series
R Khatibi, B Sivakumar, MA Ghorbani, O Kisi, K Košak, DF Zadeh
Journal of Hydrology 414, 108-117, 2012
Groundwater vulnerability indices conditioned by supervised intelligence committee machine (SICM)
AA Nadiri, M Gharekhani, R Khatibi, S Sadeghfam, AA Moghaddam
Science of the Total Environment 574, 691-706, 2017
Identification problem of open-channel friction parameters
RH Khatibi, JJR Williams, PR Wormleaton
Journal of Hydraulic Engineering 123 (12), 1078-1088, 1997
Comparison of three artificial intelligence techniques for discharge routing
R Khatibi, MA Ghorbani, MH Kashani, O Kisi
Journal of Hydrology 403 (3-4), 201-212, 2011
Assessment of groundwater vulnerability using supervised committee to combine fuzzy logic models
AA Nadiri, M Gharekhani, R Khatibi, AA Moghaddam
Environmental Science and Pollution Research 24 (9), 8562-8577, 2017
Modeling river discharge time series using support vector machine and artificial neural networks
MA Ghorbani, R Khatibi, A Goel, MH FazeliFard, A Azani
Environmental Earth Sciences 75 (8), 685, 2016
Mapping vulnerability of multiple aquifers using multiple models and fuzzy logic to objectively derive model structures
AA Nadiri, Z Sedghi, R Khatibi, M Gharekhani
Science of the Total Environment 593, 75-90, 2017
Relative importance of parameters affecting wind speed prediction using artificial neural networks
MA Ghorbani, R Khatibi, B Hosseini, M Bilgili
Theoretical and Applied Climatology 114 (1), 107-114, 2013
Learning from multiple models using artificial intelligence to improve model prediction accuracies: application to river flows
MA Ghorbani, R Khatibi, V Karimi, ZM Yaseen, M Zounemat-Kermani
Water resources management 32 (13), 4201-4215, 2018
Modelling groundwater level variations by learning from multiple models using fuzzy logic
AA Nadiri, K Naderi, R Khatibi, M Gharekhani
Hydrological sciences journal 64 (2), 210-226, 2019
Mapping specific vulnerability of multiple confined and unconfined aquifers by using artificial intelligence to learn from multiple DRASTIC frameworks
S Nadiri, A.A., Sedghia, Z., Khatibi, R., Sadeghfam
Journal of Environmental Management 227, 415-428, 2018
Mapping groundwater potential field using catastrophe fuzzy membership functions and Jenks optimization method: a case study of Maragheh-Bonab plain, Iran
S Sadeghfam, Y Hassanzadeh, AA Nadiri, R Khatibi
Environmental Earth Sciences 75 (7), 545, 2016
Experimental studies on scour of supercritical flow jets in upstream of screens and modelling scouring dimensions using artificial intelligence to combine multiple models (AIMM)
S Sadeghfam, R Daneshfaraz, R Khatibi, O Minaei
Journal of Hydroinformatics 21 (5), 893-907, 2019
Mapping aquifer vulnerability indices using artificial intelligence-running multiple frameworks (AIMF) with supervised and unsupervised learning
AA Nadiri, M Gharekhani, R Khatibi
Water Resources Management 32 (9), 3023-3040, 2018
Inter-comparison of time series models of lake levels predicted by several modeling strategies
R Khatibi, MA Ghorbani, L Naghipour, V Jothiprakash, TA Fathima, ...
Journal of Hydrology 511, 530-545, 2014
A study of friction factor formulation in pipes using artificial intelligence techniques and explicit equations
F Salmasi, R Khatibi, MA Ghorbani
Turkish Journal of Engineering and Environmental Sciences 36 (2), 121-138, 2012
Stream flow predictions using nature-inspired Firefly Algorithms and a Multiple Model strategy – Directions of innovation towards next generation practices; Journal of Advancedá…
FAP R. Khatibia, M.A. Ghorbani
Advanced Engineering Informatics 34, Pages 80–89, 2017
Dynamics of hourly sea level at Hillarys Boat Harbour, Western Australia: a chaos theory perspective
R Khatibi, MA Ghorbani, MT Aalami, K Kocak, O Makarynskyy, ...
Ocean Dynamics 61 (11), 1797-1807, 2011
Friction parameters for flows in nearly flat tidal channels
RH Khatibi, JJR Williams, PR Wormleaton
Journal of Hydraulic Engineering 126 (10), 741-749, 2000
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