H. Bonakdari

N. Rivière, H. Bonakdari, J. Bertrand-Krajewski, 2012, Water science and technology : a journal of the International Association on Water Pollution Research.

An expert system for predicting shear stress distribution in circular open channels using gene expression programming

H. Bonakdari, I. Ebtehaj, Z. S. Khozani, 2018 .

No-deposition Sediment Transport in Sewers Using of Gene Expression Programming

H. Bonakdari, I. Ebtehaj, Isa Ebtehaj, 2017 .

Potential of radial basis function network with particle swarm optimization for prediction of sediment transport at the limit of deposition in a clean pipe

Hossein Bonakdari, Isa Ebtehaj, Sultan Noman Qasem, 2017, Sustainable Water Resources Management.

Discharge and ow eld simulation of open-channel sewer junction using arti cial intelligence methods

H. Bonakdari, A. Zaji, H. Bonakdari, 2019 .

Evolutionary optimization of neural network to predict sediment transport without sedimentation

A. Zaji, H. Bonakdari, Bahram Gharabaghi, 2020, Complex & Intelligent Systems.

Assessment of evolutionary algorithms in predicting non-deposition sediment transport

Hossein Bonakdari, Isa Ebtehaj, H. Bonakdari, 2015 .

A method based on the Tsallis entropy for characterizing threshold channel bank profiles

Hossein Bonakdari, Azadeh Gholami, Abdolmajid Mohammadian, 2019, Physica A: Statistical Mechanics and its Applications.

A methodological approach of predicting threshold channel bank profile by multi-objective evolutionary optimization of ANFIS

Bahram Gharabaghi, Ali Jamali, Hossein Bonakdari, 2018 .

Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model

Zaher Mundher Yaseen, Hossein Bonakdari, Isa Ebtehaj, 2017 .

Integrated nonlinear daily water demand forecast model (case study: City of Guelph, Canada)

H. Bonakdari, Shahrzad Gharabaghi, E. Stahl, 2019 .

Adaptive neuro-fuzzy inference system multi-objective optimization using the genetic algorithm/singular value decomposition method for modelling the discharge coefficient in rectangular sharp-crested side weirs

Amir Hossein Zaji, Hossein Bonakdari, Isa Ebtehaj, 2016 .

Improving the accuracy of a remotely-sensed flood warning system using a multi-objective pre-processing method for signal defects detection and elimination

A. Zaji, H. Bonakdari, Bahram Gharabaghi, 2020 .

Estimation of the Darcy–Weisbach friction factor for ungauged streams using Gene Expression Programming and Extreme Learning Machines

Bahram Gharabaghi, Hossein Bonakdari, Jan Adamowski, 2019, Journal of Hydrology.

Forecasting monthly fluctuations of lake surface areas using remote sensing techniques and novel machine learning methods

H. Bonakdari, Bahram Gharabaghi, I. Ebtehaj, 2020, Theoretical and Applied Climatology.

A Non-Tuned Machine Learning Technique for Abutment Scour Depth in Clear Water Condition

H. Bonakdari, Bahram Gharabaghi, A. Azimi, 2020, Water.

A pareto design of evolutionary hybrid optimization of ANFIS model in prediction abutment scour depth

S. Shabanlou, A. Jamali, H. Bonakdari, 2019, Sādhanā.

Optimum Support Vector Regression for Discharge Coefficient of Modified Side Weirs Prediction

A. Zaji, H. Bonakdari, 2017 .

Efficient shear stress distribution detection in circular channels using Extreme Learning Machines and the M5 model tree algorithm

Amir Hossein Zaji, Hossein Bonakdari, Zohreh Sheikh Khozani, 2017 .

Forecasting monthly inflow with extreme seasonal variation using the hybrid SARIMA-ANN model

Hossein Bonakdari, Hamid Moeeni, H. Bonakdari, 2017, Stochastic Environmental Research and Risk Assessment.

Discharge Estimation by using Tsallis Entropy Concept

H. Bonakdari, Marjan Moazamnia, 2013 .

Pareto genetic design of group method of data handling type neural network for prediction discharge coefficient in rectangular side orifices

Hossein Bonakdari, Isa Ebtehaj, Hamed Azimi, 2015 .

Comparison of different fluid dynamics in activated sludge system for the treatment of a stimulated milk processing wastewater: Process analysis and optimization

H. Bonakdari, Ali Akbar Zinatizadeh Lorestani, Hojjatollah Bashiri, 2012, Korean Journal of Chemical Engineering.

Modeling Performance of Sediment Control Wet Ponds at Two Construction Sites in Ontario, Canada

A. Binns, H. Bonakdari, Bahram Gharabaghi, 2019, Journal of Hydraulic Engineering.

Analyzing bank profile shape of alluvial stable channels using robust optimization and evolutionary ANFIS methods

Ali Jamali, Hossein Bonakdari, Isa Ebtehaj, 2019, Applied Water Science.

New type side weir discharge coefficient simulation using three novel hybrid adaptive neuro-fuzzy inference systems

A. Zaji, H. Bonakdari, 2018, Applied Water Science.

A Methodology for Forecasting Dissolved Oxygen in Urban Streams

H. Bonakdari, Bahram Gharabaghi, Mohammad Zeynoddin, 2020, Water.

STANDARD EQUATIONS FOR PREDICTING THE DISCHARGE COEFFICIENT OF A MODIFIED HIGH-PERFORMANCE SIDE WEIR

S. Shamshirband, A. Zaji, H. Bonakdari, 2017 .

A Comparative Study of Linear Stochastic with Nonlinear Daily River Discharge Forecast Models

A. Binns, H. Bonakdari, Bahram Gharabaghi, 2020, Water Resources Management.

A generalized linear stochastic model for lake level prediction.

H. Bonakdari, Bahram Gharabaghi, I. Ebtehaj, 2020, The Science of the total environment.

Applications of ANFIS-Type Methods in Simulation of Systems in Marine Environments

A. Mohammadian, H. Bonakdari, M. Sartaj, 2022, Mathematical and Computational Applications.

Experimental Investigation and Model Development of Geometric Characteristics of Negatively Buoyant Jets Inclined at 15° and 52° using GMDH Method

A. Mohammadian, H. Bonakdari, Hassan Alfaifi, 2020, Journal of Coastal Research.

Evaluation of artificial neural network model and statistical analysis relationships to predict the stable channel width

Hossein Bonakdari, Azadeh Gholami, H. Bonakdari, 2016 .

An expert system for predicting the velocity field in narrow open channel flows using self-adaptive extreme learning machines

Bahram Gharabaghi, Amir Hossein Zaji, Hossein Bonakdari, 2020 .

Estimating the shear stress distribution in circular channels based on the randomized neural network technique

Amir Hossein Zaji, Hossein Bonakdari, Zohreh Sheikh Khozani, 2017, Appl. Soft Comput..

Longitudinal Velocity Distribution in Compound Open Channels: Comparison of Different Mathematical Models

H. Bonakdari, N. Binesh, 2014 .

Experimental and computational study of velocity fields in narrow or compound section sewers

Frédérique Larrarte, Hossein Bonakdari, H. Bonakdari, 2007 .

Discharge Coefficient of Rectangular Side Weirs on Circular Channels

S. Shabanlou, H. Bonakdari, I. Ebtehaj, 2016 .

New Approach to Estimate Velocity at Limit of Deposition in Storm Sewers Using Vector Machine Coupled with Firefly Algorithm

Roslan Hashim, Hossein Bonakdari, Isa Ebtehaj, 2017 .

Developing turbulent flows in rectangular channels: A parametric study

G. L. Asawa, H. Bonakdari, G. Lipeme-Kouyi, 2014 .

Artificial intelligence models for prediction of the aeration efficiency of the stepped weir

H. Bonakdari, Bahram Gharabaghi, M. Elhakeem, 2019, Flow Measurement and Instrumentation.

Machine Learning Models for Predicting Water Quality of Treated Fruit and Vegetable Wastewater

H. Bonakdari, Bahram Gharabaghi, K. Warriner, 2021, Water.

Hydraulics of sharp-crested weir culverts with downstream ramps in free-flow, partially, and fully submerged-flow conditions

H. Bonakdari, A. Azimi, S. Salehi, 2020, Irrigation Science.

An Implicit Approach for Numerical Simulation of Water Hammer Induced Pressure in a Straight Pipe

H. Bonakdari, A. Azimi, M. Bostan, 2021, Water Resources Management.

Understanding the dynamic nature of Time-to-Peak in UK streams

Bahram Gharabaghi, Hossein Bonakdari, Edward A. McBean, 2020 .

Comparative Assessment of the Hybrid Genetic Algorithm-Artificial Neural Network and Genetic Programming Methods for the Prediction of Longitudinal Velocity Field around a Single Straight Groyne

Akbar Safarzadeh, Amir Hossein Zaji, Hossein Bonakdari, 2017, Appl. Soft Comput..

Hydraulic Modeling and Evaluation Equations for the Incipient Motion of Sandbags for Levee Breach Closure Operations

H. Bonakdari, Bahram Gharabaghi, A. Radecki-Pawlik, 2019, Water.

A HIGHLY EFFICIENT GENE EXPRESSION PROGRAMMING FOR VELOCITY DISTRIBUTION AT COMPOUND SEWER CHANNEL

H. Bonakdari, Bahram Gharabaghi, I. Ebtehaj, 2019, 38th IAHR World Congress - "Water: Connecting the World".

Soil Aquifer Treatment System Design Equation for Organic Micropollutant Removal

H. Bonakdari, Bahram Gharabaghi, M. Elhakeem, 2018 .

A new hybrid decision tree method based on two artificial neural networks for predicting sediment transport in clean pipes

Amir Hossein Zaji, Hossein Bonakdari, Isa Ebtehaj, 2017, Alexandria Engineering Journal.

Velocity Field Simulation of Open-Channel Junction Using Artificial Intelligence Approaches

Amir Hossein Zaji, Hossein Bonakdari, A. Zaji, 2018, Iranian Journal of Science and Technology, Transactions of Civil Engineering.

Impact of the Confluence Angle on Flow Field and Flowmeter Accuracy in Open Channel Junctions

Amir Hossein Zaji, Hossein Bonakdari, Minoo Sharifipour, 2015 .

Using two soft computing methods to predict wall and bed shear stress in smooth rectangular channels

Amir Hossein Zaji, Hossein Bonakdari, Zohreh Sheikh Khozani, 2017, Applied Water Science.

Evolutionary prediction of an inclined dense jet in shallow water

A. Mohammadian, H. Bonakdari, 2019, DESALINATION AND WATER TREATMENT.

Comparison of Three Soft Computing Methods in Estimating Apparent Shear Stress in Compound Channels

A. Zaji, H. Bonakdari, Z. S. Khozani, 2016 .

Experimental and Numerical Investigation of the Flow Hydraulic in Gradual Transition Open Channels

H. Bonakdari, A. Dehghani, A. Asnaashari, 2018, Water Resources.

PM Predicting Velocity at Limit of Deposition in Storm Channels using two Data Mining Techniques

H. Bonakdari, I. Ebtehaj, 2017 .

Multi-objective evolutionary polynomial regression-based prediction of energy consumption probing.

H. Bonakdari, A. Akhbari, I. Ebtehaj, 2017, Water science and technology : a journal of the International Association on Water Pollution Research.

Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel

Aminuddin Ab. Ghani, H. Bonakdari, I. Ebtehaj, 2017 .

Bed Load Sediment Transport in Sewers at Limit of Deposition

H. Bonakdari, I. Ebtehaj, Isa Ebtehaj, 2016 .

Application of Soft Computing Methods in the Analysis of Velocity Field in Dividing Channel

A. Zaji, H. Bonakdari, H. Karami, 2017 .

Firefly optimization algorithm effect on support vector regression prediction improvement of a modified labyrinth side weir's discharge coefficient

Shahaboddin Shamshirband, Amir Hossein Zaji, Hossein Bonakdari, 2016, Appl. Math. Comput..

Experimental Investigation of One-Cycle Triangular Labyrinth Weirs with an Upstream Pool

H. Bonakdari, A. Azimi, 2020 .

Advancing Freshwater Lake Level Forecast Using King’s Castle Optimization with Training Sample Adaption and Adaptive Neuro-Fuzzy Inference System

A. Zaji, H. Bonakdari, Bahram Gharabaghi, 2019, Water Resources Management.

Numerical investigation of flow field and flowmeter accuracy in open-channel junctions

Shahaboddin Shamshirband, Amir Hossein Zaji, Hossein Bonakdari, 2015 .

How can computational fluid dynamics improve measuring in real sewers ?

H. Bonakdari, A. Zinatizadeh, 2010 .

Stable alluvial channel design using evolutionary neural networks

Bahram Gharabaghi, Ozgur Kisi, Hossein Bonakdari, 2018, Journal of Hydrology.

A novel stochastic wastewater quality modeling based on fuzzy techniques

H. Bonakdari, Bahram Gharabaghi, A. Zinatizadeh, 2020, Journal of Environmental Health Science and Engineering.

Investigating methods in data preparation for stochastic rainfall modeling: A case study for Kermanshah synoptic station rainfall data, Iran

H. Bonakdari, Mohammad Zeynoddin, 2019 .

Structural-optimized sequential deep learning methods for surface soil moisture forecasting, case study Quebec, Canada

H. Bonakdari, Mohammad Zeynoddin, 2022, Neural Computing and Applications.

Assessment of water depth change patterns in 120° sharp bend using numerical model

Hossein Bonakdari, Azadeh Gholami, Ali Akbar Akhtari, 2016 .

PREDICT FLOW VARIABLES IN CURVED CHANNEL

H. Bonakdari, A. Gholami, A. Akhtari, 2017 .

A Reliable Hybrid Outlier Robust Non-Tuned Rapid Machine Learning Model for Multi-Step Ahead Flood Forecasting in Quebec, Canada

H. Bonakdari, Isa Ebtehaj, 2022, Journal of Hydrology.

Predicting discharge coefficient of triangular labyrinth weir using extreme learning machine, artificial neural network and genetic programming

H. Bonakdari, H. Karami, S. Karimi, 2016, Neural Computing and Applications.

Numerical Examination of the Effect Of The Location Of Flowmeters In Intakes On Flow-Velocity Measurement Accuracy

H. Bonakdari, S. Karimi, A. Gholami, 2015 .

Multi-depth daily soil temperature modeling: meteorological variables or time series?

P. Samui, H. Bonakdari, Bahram Gharabaghi, 2022, Theoretical and Applied Climatology.

Extreme learning machine assessment for estimating sediment transport in open channels

Shahaboddin Shamshirband, H. Bonakdari, Isa Ebtehaj, 2016, Engineering with Computers.

A hybrid wavelet–machine learning model for qanat water flow prediction

H. Bonakdari, S. Samani, M. Vadiati, 2022, Acta Geophysica.

Bed load sediment transport estimation in a clean pipe using multilayer perceptron with different training algorithms

H. Bonakdari, Isa Ebtehaj, 2015, KSCE Journal of Civil Engineering.

Response surface analysis of effects of hydraulic retention time and influent feed concentration on performance of an UASFF bioreactor.

M. Pirsaheb, H. Bonakdari, H. Younesi, 2010, Waste management.

Extension of Fuzzy Delphi AHP Based on Interval-Valued Fuzzy Sets and its Application in Water Resource Rating Problems

Hossein Bonakdari, Yasser Minatour, Zahra Shirmohammadi Aliakbarkhani, 2016, Water Resources Management.

Predicting wastewater treatment plant quality parameters using a novel hybrid linear-nonlinear methodology.

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Journal of environmental management.

Modeling of velocity fields by the entropy concept in narrow open channels

Hossein Bonakdari, Marjan Moazamnia, H. Bonakdari, 2015 .

Predicting Shear Stress Distribution in Rectangular Channels Using Entropy Concept

Hossein Bonakdari, H. Bonakdari, Zohreh Sheikh, 2015 .

Modeling of velocity fields by the entropy concept in narrow open channels

H. Bonakdari, Marjan Moazamnia, 2014, KSCE Journal of Civil Engineering.

Comparative analysis of GMDH neural network based on genetic algorithm and particle swarm optimization in stable channel design

Hossein Bonakdari, Isa Ebtehaj, Azadeh Gholami, 2017, Appl. Math. Comput..

A reliable GIS-based FAHP-FTOPSIS model to prioritize urban water supply management scenarios: a case study in semi-arid climate

H. Bonakdari, Bahram Gharabaghi, A. Noori, 2022, Sustainable Cities and Society.

Mapping the spatial and temporal variability of flood susceptibility using remotely sensed normalized difference vegetation index and the forecasted changes in the future.

H. Bonakdari, Bahram Gharabaghi, A. Azari, 2021, The Science of the total environment.

Implementation of Univariate Paradigm for Streamflow Simulation Using Hybrid Data-Driven Model: Case Study in Tropical Region

Nadhir Al-Ansari, Sinan Q. Salih, Zaher Mundher Yaseen, 2019, IEEE Access.

Prediction of wave runup on beaches using Gene-Expression Programming and empirical relationships

Bahram Gharabaghi, Hossein Bonakdari, Tom E. Baldock, 2019, Coastal Engineering.

Methodology for qualifying measurement sites within a drainage network: Application to fl ow readings in a main drain

Frédérique Larrarte, Claude Joannis, Hossein Bonakdari, 2008 .

Combination of sensitivity and uncertainty analyses for sediment transport modeling in sewer pipes

Bahram Gharabaghi, Amir Hossein Zaji, Hossein Bonakdari, 2020 .

Assessment of geomorphological bank evolution of the alluvial threshold rivers based on entropy concept parameters

Bahram Gharabaghi, Amir Hossein Zaji, Hossein Bonakdari, 2019, Hydrological Sciences Journal.

A reliable linear stochastic daily soil temperature forecast model

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Soil and Tillage Research.

A reliable linear method for modeling lake level fluctuations

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Journal of Hydrology.

Pareto design of multiobjective evolutionary neuro-fuzzy system for predicting scour depth around bridge piers

Pijush Samui, Bahram Gharabaghi, Ali Jamali, 2021 .

Evolutionary Pareto optimization of an ANFIS network for modeling scour at pile groups in clear water condition

Ali Jamali, Hossein Bonakdari, Isa Ebtehaj, 2017, Fuzzy Sets Syst..

APPLICATION OF INTERVAL-VALUED FUZZY ANALYTIC HIERARCHY PROCESS APPROACH IN SELECTION CARGO TERMINALS, A CASE STUDY

Hossein Bonakdari, Akbar A. Javadi, Yasser Minatour, 2015 .

Performance Evaluation of Adaptive Neural Fuzzy Inference System for Sediment Transport in Sewers

Hossein Bonakdari, Isa Ebtehaj, H. Bonakdari, 2014, Water Resources Management.

A Comprehensive Comparison of the Fifth and Sixth Phases of the Coupled Model Intercomparison Project Based on the Canadian Earth System Models in Spatio-temporal Variability of Long-Term Flood Susceptibility Using Remote Sensing and Flood Frequency Analysis

H. Bonakdari, Isa Ebtehaj, 2022, Journal of Hydrology.

A group Multi-Criteria Decision-Making method for water supply choice optimization

H. Bonakdari, Bahram Gharabaghi, A. Salimi, 2020 .

A dynamic prediction model for time‐to‐peak

E. McBean, H. Bonakdari, Bahram Gharabaghi, 2021, Hydrological Processes.

Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting

Hossein Bonakdari, Mahdi Hasanipanah, Isa Ebtehaj, 2018, Engineering with Computers.

Effects of process factors on biological activity of granular sludge grown in an UASFF bioreactor

M. Pirsaheb, H. Bonakdari, G. Najafpour, 2009 .

On the Prediction of Evaporation in Arid Climate Using Machine Learning Model

A. Mohammadian, H. Bonakdari, M. Jasmine, 2022, Mathematical and Computational Applications.

An efficient classified radial basis neural network for prediction of flow variables in sharp open-channel bends

Amir Hossein Zaji, Hossein Bonakdari, Azadeh Gholami, 2019, Applied Water Science.

Estimating 2-year flood flows using the generalized structure of the Group Method of Data Handling

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Journal of Hydrology.

Evolutionary design of generalized group method of data handling-type neural network for estimating the hydraulic jump roller length

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2018 .

Uncertainty analysis of intelligent model of hybrid genetic algorithm and particle swarm optimization with ANFIS to predict threshold bank profile shape based on digital laser approach sensing

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2018, Measurement.

Gene expression programming to predict the discharge coefficient in rectangular side weirs

Amir Hossein Zaji, Hossein Bonakdari, Isa Ebtehaj, 2015, Appl. Soft Comput..

New insights into soil temperature time series modeling: linear or nonlinear?

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Theoretical and Applied Climatology.

Modeling unsaturated hydraulic conductivity by hybrid soft computing techniques

Hossein Bonakdari, Isa Ebtehaj, Balraj Singh, 2019, Soft Comput..

GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs

Amir Hossein Zaji, Hossein Bonakdari, Isa Ebtehaj, 2015 .

Combination of Computational Fluid Dynamics, Adaptive Neuro-Fuzzy Inference System, and Genetic Algorithm for Predicting Discharge Coefficient of Rectangular Side Orifices

Hossein Bonakdari, Isa Ebtehaj, Hamed Azimi, 2017 .

Application of a Neuro-Fuzzy GMDH Model for Predicting the Velocity at Limit of Deposition in Storm Sewers

Mohammad Najafzadeh, Hossein Bonakdari, H. Bonakdari, 2017 .

Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA

Zaher Mundher Yaseen, Hossein Bonakdari, Isa Ebtehaj, 2017, Water Resources Management.

Development of optimal water supply plan using integrated fuzzy Delphi and fuzzy ELECTRE III methods—Case study of the Gamasiab basin

Bahram Gharabaghi, Hossein Bonakdari, Amir Noori, 2020, Expert Syst. J. Knowl. Eng..

Development of more accurate discharge coefficient prediction equations for rectangular side weirs using adaptive neuro-fuzzy inference system and generalized group method of data handling

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2018 .

Optimal Design for Shock Damper with Genetic Algorithm to Control Water Hammer Effects in Complex Water Distribution Systems

Hossein Bonakdari, Ali Akbar Akhtari, Mohammad Bostan, 2019, Water Resources Management.

Sediment transport modeling in rigid boundary open channels using generalize structure of group method of data handling

Hossein Bonakdari, Isa Ebtehaj, Mir Jafar Sadegh Safari, 2019, Journal of Hydrology.

Novel hybrid linear stochastic with non-linear extreme learning machine methods for forecasting monthly rainfall a tropical climate.

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2018, Journal of environmental management.

Genetic-Algorithm-Optimized Sequential Model for Water Temperature Prediction

Bahram Gharabaghi, Hossein Bonakdari, Deepak Kumar, 2020, Sustainability.

Remote Sensing Satellite Data Preparation for Simulating and Forecasting River Discharge

Bahram Gharabaghi, Amir Hossein Zaji, Hossein Bonakdari, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Prognostication of Shortwave Radiation Using an Improved No-Tuned Fast Machine Learning

Hossein Bonakdari, Isa Ebtehaj, Chandra A. Madramootoo, 2021, Sustainability.

Lake Water-Level fluctuations forecasting using Minimax Probability Machine Regression, Relevance Vector Machine, Gaussian Process Regression, and Extreme Learning Machine

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Water Resources Management.

Integrated Markov chains and uncertainty analysis techniques to more accurately forecast floods using satellite signals

Bahram Gharabaghi, Amir Hossein Zaji, Hossein Bonakdari, 2019, Journal of Hydrology.

Exploring the Role of Advertising Types on Improving the Water Consumption Behavior: An Application of Integrated Fuzzy AHP and Fuzzy VIKOR Method

Hossein Bonakdari, Ehsan Sharifi, Amir Noori, 2020, Sustainability.

Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point

Mohammad Ali Ghorbani, Shahaboddin Shamshirband, Hossein Bonakdari, 2017 .

Predicting stable alluvial channel profiles using emotional artificial neural networks

Pijush Samui, Bahram Gharabaghi, Hossein Bonakdari, 2019, Appl. Soft Comput..

More accurate prediction of the complex velocity field in sewers based on uncertainty analysis using extreme learning machine technique

Bahram Gharabaghi, Amir Hossein Zaji, Hossein Bonakdari, 2018, ISH Journal of Hydraulic Engineering.

Prediction of scour depth around bridge piers using self-adaptive extreme learning machine

Amir Hossein Zaji, Hossein Bonakdari, Isa Ebtehaj, 2017 .

Investigation of a new shock damper system efficiency in reducing water hammer excess pressure due to the sudden closure of a control valve

H. Bonakdari, Bahram Gharabaghi, O. Noori, 2018, ISH Journal of Hydraulic Engineering.

Hybrid Model of Singular Value Decomposition, ANFIS and Genetic Algorithm for Prediction of Sediment Transport in Sewers

A. Jamali, H. Bonakdari, Bahram Gharabaghi, 2020 .

Gene expression programming-based approach for predicting the roller length of a hydraulic jump on a rough bed

Hossein Bonakdari, Isa Ebtehaj, Hamed Azimi, 2019, ISH Journal of Hydraulic Engineering.

Sensitivity analysis of parameters affecting scour depth around bridge piers based on the non-tuned, rapid extreme learning machine method

Amir Hossein Zaji, Hossein Bonakdari, Isa Ebtehaj, 2018, Neural Computing and Applications.

Reservoir water level forecasting using group method of data handling

Bahram Gharabaghi, Amir Hossein Zaji, Hossein Bonakdari, 2018, Acta Geophysica.

Uncertainty analysis of shear stress estimation in circular channels by Tsallis entropy

Bahram Gharabaghi, Hossein Bonakdari, Zohreh Sheikh Khozani, 2018, Physica A: Statistical Mechanics and its Applications.

Evaluation of preprocessing techniques for improving the accuracy of stochastic rainfall forecast models

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, International Journal of Environmental Science and Technology.

An extensive study on evaluating climate change models impacts in prediction of climatology parameters: Case study Kor Basins, Iran

H. Bonakdari, A. Gholami, A. Azari, 2023, 8TH ENGINEERING AND 2ND INTERNATIONAL CONFERENCE FOR COLLEGE OF ENGINEERING – UNIVERSITY OF BAGHDAD: COEC8-2021 Proceedings.

Modelling dry-weather temperature profiles in urban stormwater management ponds

H. Bonakdari, Bahram Gharabaghi, Stephen Stajkowski, 2021, Journal of Hydrology.

Simulation of open channel bend characteristics using computational fluid dynamics and artificial neural networks

Amir Hossein Zaji, Hossein Bonakdari, Azadeh Gholami, 2015 .

Evaluation of Sediment Transport in Sewer using Artificial Neural Network

Hossein Bonakdari, Isa Ebtehaj, H. Bonakdari, 2013 .

Numerical Analysis and Prediction of the Velocity Field in Curved Open Channel Using Artificial Neural Network and Genetic Algorithm

Hossein Bonakdari, Foad Nazari, Majid Fazli, 2011 .

Enhanced formulation of the probability principle based on maximum entropy to design the bank profile of channels in geomorphic threshold

Hossein Bonakdari, Azadeh Gholami, Majid Mohammadian, 2019, Stochastic Environmental Research and Risk Assessment.

Review of Models Introduced to Estimate the Distribution of Longitudinal Velocity in Open Channels based on Navier-stokes Equations

H. Bonakdari, M. Ahadi, 2013 .

River flow forecasting using stochastic and neuro-fuzzy-embedded technique: a comprehensive preprocessing-based assessment

Pijush Samui, Bahram Gharabaghi, Hossein Bonakdari, 2021 .

Early detection of riverine flooding events using the group method of data handling for the Bow River, Alberta, Canada

E. McBean, A. Binns, H. Bonakdari, 2021, International Journal of River Basin Management.

Impact of Normalization and Input on ARMAX-ANN Model Performance in Suspended Sediment Load Prediction

Hossein Bonakdari, Hamid Moeeni, H. Bonakdari, 2018, Water Resources Management.

Development of a linear based stochastic model for daily soil temperature prediction: One step forward to sustainable agriculture

Hossein Bonakdari, Isa Ebtehaj, Mohammad Zeynoddin, 2020, Comput. Electron. Agric..

Comparison of Different Models for Evaluating the Velocity Profiles in Narrow Sewers

H. Bonakdari, M. Ahadi, 2013 .

Velocity Distribution in Open Channel Flows: Analytical Approach for the Outer Region

Frédérique Larrarte, Claude Joannis, Hossein Bonakdari, 2013 .

A COMBINATION OF COMPUTATIONAL FLUID DYNAMICS, ARTIFICIAL NEURAL NETWORK AND SUPPORT VECTORS MACHINES MODEL TO PREDICT FLOW VARIABLES IN CURVED CHANNEL

H. Bonakdari, A. Gholami, A. A. Akhtari, 2017 .

Determination of the most influential weather parameters on reference evapotranspiration by adaptive neuro-fuzzy methodology

Shervin Motamedi, Shahaboddin Shamshirband, Roslan Hashim, 2015, Comput. Electron. Agric..

Modelling Stable Alluvial River Profiles Using Back Propagation-Based Multilayer Neural Networks

H. Bonakdari, Bahram Gharabaghi, A. Gholami, 2019, Advances in Intelligent Systems and Computing.

Efficient methods for prediction of velocity fields in open channel junctions based on the artifical neural network

Amir Hossein Zaji, Hossein Bonakdari, A. Zaji, 2015 .

Developing an AI-based method for river discharge forecasting using satellite signals

Bahram Gharabaghi, Amir Hossein Zaji, Hossein Bonakdari, 2019, Theoretical and Applied Climatology.

Integrated SARIMA with Neuro-Fuzzy Systems and Neural Networks for Monthly Inflow Prediction

Hossein Bonakdari, Isa Ebtehaj, Hamid Moeeni, 2017, Water Resources Management.

Stochastic model stationarization by eliminating the periodic term and its effect on time series prediction

Hossein Bonakdari, Seyed Ehsan Fatemi, Hamid Moeeni, 2017 .

Monthly reservoir inflow forecasting using a new hybrid SARIMA genetic programming approach

Hossein Bonakdari, Isa Ebtehaj, Hamid Moeeni, 2017, Journal of Earth System Science.

Designing a New Data Intelligence Model for Global Solar Radiation Prediction: Application of Multivariate Modeling Scheme

Nadhir Al-Ansari, Hossein Bonakdari, Isa Ebtehaj, 2019, Energies.

Improving the performance of multi-layer perceptron and radial basis function models with a decision tree model to predict flow variables in a sharp 90° bend

Amir Hossein Zaji, Hossein Bonakdari, David G. Michelson, 2016, Appl. Soft Comput..

Design of radial basis function-based support vector regression in predicting the discharge coefficient of a side weir in a trapezoidal channel

Hossein Bonakdari, Isa Ebtehaj, Hamed Azimi, 2019, Applied Water Science.

Experimental and numerical investigation of the flow field in the gradual transition of rectangular to trapezoidal open channels

Hossein Bonakdari, Amir Ahmad Dehghani, Ali Akbar Akhtari, 2016 .

Evaluating Parshall flume aeration with experimental observations and advance soft computing techniques

Hossein Bonakdari, Isa Ebtehaj, Parveen Sihag, 2021, Neural Computing and Applications.

Open channel junction velocity prediction by using a hybrid self-neuron adjustable artificial neural network

Amir Hossein Zaji, Hossein Bonakdari, A. Zaji, 2016 .

Design of a new hybrid artificial neural network method based on decision trees for calculating the Froude number in rigid rectangular channels

Hossein Bonakdari, Isa Ebtehaj, Aminuddin Ab. Ghani, 2016 .

Integrated preprocessing techniques with linear stochastic approaches in groundwater level forecasting

H. Bonakdari, Bahram Gharabaghi, A. Sattar, 2021, Acta Geophysica.

Preliminary analysis of turbidity measurements during a flushing operation in combined sewer channel

Hossein Bonakdari, Isa Ebtehaj, Alberto Campisano, 2016 .

Retraction Note to: Modelling thermal comfort of visitors at urban squares in hot and arid climate using NN-ARX soft computing method

Shervin Motamedi, Shahaboddin Shamshirband, Dalibor Petković, 2016, Theoretical and Applied Climatology.

Modelling thermal comfort of visitors at urban squares in hot and arid climate using NN-ARX soft computing method

Shervin Motamedi, Shahaboddin Shamshirband, Dalibor Petković, 2015, Theoretical and Applied Climatology.

Sensitivity analysis of the factors affecting the discharge capacity of side weirs in trapezoidal channels using extreme learning machines

Hossein Bonakdari, Isa Ebtehaj, Hamed Azimi, 2017 .

A Novel Comprehensive Evaluation Method for Estimating the Bank Profile Shape and Dimensions of Stable Channels Using the Maximum Entropy Principle

Hossein Bonakdari, Isa Ebtehaj, Azadeh Gholami, 2020, Entropy.

A New Approach to Estimate the Discharge Coefficient in Sharp-Crested Rectangular Side Orifices Using Gene Expression Programming

Bahram Gharabaghi, Isa Ebtehaj, Ali Sharifi, 2020, SAI.

The optimal dam site selection using a group decision-making method through fuzzy TOPSIS model

Bahram Gharabaghi, Hossein Bonakdari, Amir Noori, 2018, Environment Systems and Decisions.

New radial basis function network method based on decision trees to predict flow variables in a curved channel

A. Zaji, H. Bonakdari, A. Gholami, 2018, Neural Computing and Applications.

Reliability and sensitivity analysis of robust learning machine in prediction of bank profile morphology of threshold sand rivers

Hossein Bonakdari, Isa Ebtehaj, Azadeh Gholami, 2020 .

Development of robust evolutionary polynomial regression network in the estimation of stable alluvial channel dimensions

Bahram Gharabaghi, Hossein Bonakdari, Ahmed M. A. Sattar, 2020 .

Reliable method of determining stable threshold channel shape using experimental and gene expression programming techniques

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Neural Computing and Applications.

A comparison of artificial intelligence-based classification techniques in predicting flow variables in sharp curved channels

Amir Hossein Zaji, Hossein Bonakdari, Azadeh Gholami, 2019, Engineering with Computers.

An Assessment of Extreme Learning Machine Model for Estimation of Flow Variables in Curved Irrigation Channels

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2021, SAI.

Predicting the velocity field in a 90° Open channel bend using a gene expression programming model

Amir Hossein Zaji, Hossein Bonakdari, Azadeh Gholami, 2015 .

Application of artificial neural network and genetic programming models for estimating the longitudinal velocity field in open channel junctions

Amir Hossein Zaji, Hossein Bonakdari, A. Zaji, 2015 .

Performance evaluation of two different neural network and particle swarm optimization methods for prediction of discharge capacity of modified triangular side weirs

Amir Hossein Zaji, Hossein Bonakdari, A. Zaji, 2014 .

Experimental and Numerical Study on Velocity Fields and Water Surface Profile in a Strongly-Curved 90° Open Channel Bend

Hossein Bonakdari, Akbar A. Javadi, Azadeh Gholami, 2014 .

Closed-Form Solution for Flow Field in Curved Channels in Comparison with Experimental and Numerical Analyses and Artificial Neural Network

Hossein Bonakdari, Foad Nazari, Majid Fazli, 2012 .

Forecasting Pesticide Use on Golf Courses by Integration of Deep Learning and Decision Tree Techniques

H. Bonakdari, Isa Ebtehaj, J. Fortin, 2023, Agriculture.

Robustness lake water level prediction using the search heuristic-based artificial intelligence methods

Amir Hossein Zaji, Hossein Bonakdari, A. Zaji, 2019 .

Predicting discharge coefficient of triangular labyrinth weir using extreme learning machine, artificial neural network and genetic programming

Shahaboddin Shamshirband, Hossein Bonakdari, Hojat Karami, 2016, Neural Computing and Applications.

Modeling Hydrodynamic Behavior of the Ottawa River: Harnessing the Power of Numerical Simulation and Machine Learning for Enhanced Predictability

H. Bonakdari, Isa Ebtehaj, S. Gumiere, 2023, Hydrology.

Enhancing Flood Prediction Accuracy through Integration of Meteorological Parameters in River Flow Observations: A Case Study Ottawa River

H. Bonakdari, Isa Ebtehaj, Jean-Louis Cardi, 2023, Hydrology.

Novel Hybrid Statistical Learning Framework Coupled with Random Forest and Grasshopper Optimization Algorithm to Forecast Pesticide Use on Golf Courses

H. Bonakdari, Isa Ebtehaj, J. Fortin, 2022, Agriculture.

Prediction of Discharge Capacity of Labyrinth Weir with Gene Expression Programming pdf

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2020, IntelliSys.

Hybrid Evolutionary Algorithm Based on PSOGA for ANFIS Designing in Prediction of No-Deposition Bed Load Sediment Transport in Sewer Pipe

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2018, Advances in Intelligent Systems and Computing.

Application of optimized Artificial and Radial Basis neural networks by using modified Genetic Algorithm on discharge coefficient prediction of modified labyrinth side weir with two and four cycles

Amir Hossein Zaji, Hossein Bonakdari, Saeed Reza Khodashenas, 2020 .

A Comparative Analysis of SMAP-Derived Soil Moisture Modeling by Optimized Machine Learning Methods: A Case Study of the Quebec Province

H. Bonakdari, Mohammad Zeynoddin, 2023, ECWS-7 2023.

Turbulent velocity profile in fully-developed open channel flows

Frédérique Larrarte, Claude Joannis, Hossein Bonakdari, 2008, Environmental Fluid Mechanics.

An integrated framework of Extreme Learning Machines for predicting scour at pile groups in clear water condition

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2018 .

Determining the Scour Dimensions Around Submerged Vanes in a 180° Bend with the Gene Expression Programming Technique

S. Shabanlou, H. Bonakdari, H. Azimi, 2018, Journal of Marine Science and Application.

Enhancing water use efficiency in precision irrigation: data-driven approaches for addressing data gaps in time series

H. Bonakdari, Mohammad Zeynoddin, S. Gumiere, 2023, Frontiers in Water.

A Comparative Study of Extreme Learning Machines and Support Vector Machines in Prediction of Sediment Transport in Open Channels

Hossein Bonakdari, Isa Ebtehaj, H. Bonakdari, 2016 .

Design of a support vector machine with different kernel functions to predict scour depth around bridge piers

Amir Hossein Zaji, Hossein Bonakdari, Isa Ebtehaj, 2016, Natural Hazards.

SOILPARAM 1.0: A Global-Scaled Enhanced Remote Sensing Application for Soil Characteristics Data Retrieval - Google Engine Environment, An Open-Source Treasure

H. Bonakdari, A. Rousseau, J. Caron, 2022, Proceedings of the 39th IAHR World Congress.

An analysis of shear stress distribution in circular channels with sediment deposition based on Gene Expression Programming

Hossein Bonakdari, Isa Ebtehaj, Zohreh Sheikh Khozani, 2017 .

Time-Series-Based Air Temperature Forecasting Based on the Outlier Robust Extreme Learning Machine

H. Bonakdari, Bahram Gharabaghi, M. Khelifi, 2023, ECWS-7 2023.

Time-Series-Based Air Temperature Forecasting Based on the Outlier Robust Extreme Learning Machine "2279

H. Bonakdari, Bahram Gharabaghi, M. Khelifi, 2023 .

RETRACTED: Estimation of wind turbine wake effect by adaptive neuro-fuzzy approach

Dalibor Petković, Hossein Bonakdari, Shahaboddin Shamshirband, 2015 .

A combined adaptive neuro-fuzzy inference system–firefly algorithm model for predicting the roller length of a hydraulic jump on a rough channel bed

Hossein Bonakdari, Isa Ebtehaj, David G. Michelson, 2018, Neural Computing and Applications.

A support vector regression-firefly algorithm-based model for limiting velocity prediction in sewer pipes.

Hossein Bonakdari, Isa Ebtehaj, H. Bonakdari, 2016, Water science and technology : a journal of the International Association on Water Pollution Research.

Water supply management using an extended group fuzzy decision-making method: a case study in north-eastern Iran

Hossein Bonakdari, Mahdi Zarghami, Yasser Minatour, 2015, Applied Water Science.

Predicting Bulk Density of Dehydrated Food Products: A Comparative Study of Three Machine Learning Techniques, Potential Opportunities, and Limitations of Artificial Intelligence

H. Bonakdari, S. Khalloufi, Isa Ebtehaj, 2023, Food and Bioprocess Technology.

Evaluating the apparent shear stress in prismatic compound channels using the Genetic Algorithm based on Multi-Layer Perceptron: A comparative study

Amir Hossein Zaji, Hossein Bonakdari, Zohreh Sheikh Khozani, 2018, Appl. Math. Comput..

Comparison of genetic programming and radial basis function neural network for open-channel junction velocity field prediction

A. Zaji, H. Bonakdari, M. Sharifipour, 2018, Neural Computing and Applications.

Determining the Scour Dimensions Around Submerged Vanes in a 180° Bend with the Gene Expression Programming Technique

S. Shabanlou, H. Bonakdari, H. Azimi, 2018, Journal of Marine Science and Application.

Simulating the Discharge Coefficient of an Improved Triangular Side Weir using a Novel Hybrid Method of Firefly Optimization based Support Vector Regression

H. Bonakdari, 2018 .

Application of a genetic algorithm in predicting the percentage of shear force carried by walls in smooth rectangular channels

Amir Hossein Zaji, Hossein Bonakdari, Zohreh Sheikh Khozani, 2016 .

An expert system for predicting the infiltration characteristics

H. Bonakdari, Balraj Singh, P. Sihag, 2021, Water Supply.

Assessment of Stochastic Models and a Hybrid Artificial Neural Network-Genetic Algorithm Method in Forecasting Monthly Reservoir Inflow

Amir Hossein Zaji, Hossein Bonakdari, Seyed Ehsan Fatemi, 2017 .

Developing an expert group method of data handling system for predicting the geometry of a stable channel with a gravel bed

Hossein Bonakdari, Isa Ebtehaj, Azadeh Gholami, 2017 .

Modeling stormwater management pond thermal impacts during storm events

E. McBean, H. Bonakdari, Bahram Gharabaghi, 2023, Journal of Hydrology.

A novel machine learning tool for current and future flood susceptibility mapping by integrating remote sensing and geographic information systems

H. Bonakdari, Keyvan Soltani, Afshin Amiri, 2024, Journal of Hydrology.

Calculating the energy consumption of electrocoagulation using a generalized structure group method of data handling integrated with a genetic algorithm and singular value decomposition

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2018, Clean Technologies and Environmental Policy.

Multi-Tempo Forecasting of Soil Temperature Data; Application over Quebec, Canada

H. Bonakdari, A. Rousseau, Mohammad Zeynoddin, 2023, Sustainability.

Discussion of “ANFIS Modeling with ICA, BBO, TLBO, and IWO Optimization Algorithms and Sensitivity Analysis for Predicting Daily Reference Evapotranspiration” by Maryam Zeinolabedini Rezaabad, Sadegh Ghazanfari, and Maryam Salajegheh

O. Kisi, H. Bonakdari, Isa Ebtehaj, 2021, Journal of Hydrologic Engineering.

Lake Surface Area Forecasting Using Integrated Satellite-SARIMA-Long-Short-Term Memory Model

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2021 .

A nonlinear simulation method based on a combination of multilayer perceptron and decision trees for predicting non-deposition sediment transport

Amir Hossein Zaji, Hossein Bonakdari, Isa Ebtehaj, 2016 .

An expert system with radial basis function neural network based on decision trees for predicting sediment transport in sewers.

Amir Hossein Zaji, Hossein Bonakdari, Isa Ebtehaj, 2016, Water science and technology : a journal of the International Association on Water Pollution Research.

Advancing Spatial Drought Forecasts by Integrating an Improved Outlier Robust Extreme Learning Machine with Gridded Data: A Case Study of the Lower Mainland Basin, British Columbia, Canada

H. Bonakdari, Isa Ebtehaj, T. Ghobrial, 2024, Sustainability.

3D flow simulation of straight groynes using hybrid DE-based artificial intelligence methods

Akbar Safarzadeh, Amir Hossein Zaji, Hossein Bonakdari, 2018, Soft Computing.

The uncertainty of the Shannon entropy model for shear stress distribution in circular channels

Bahram Gharabaghi, Hossein Bonakdari, Azadeh Gholami, 2020 .

Comparison of the Performance of CMIP5 and CMIP6 in the Prediction of Rainfall Trends, Case Study Quebec City

H. Bonakdari, A. Salimi, Tadros R. Ghobrial, 2023, ECWS-7 2023.