Hossein Bonakdari

Orcid: 0000-0001-6169-3654

According to our database1, Hossein Bonakdari authored at least 39 papers between 2015 and 2024.

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PhD thesis 


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On csauthors.net:


Assessment of artificial intelligence for predicting porosity of dehydrated food products.
Comput. Electron. Agric., 2024

Statistical and Data Analytics Approaches to Parameter Tuning for Enhancing QoS of E-Banking Transactions: A Case Study of Sample Bank.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023

Structural-optimized sequential deep learning methods for surface soil moisture forecasting, case study Quebec, Canada.
Neural Comput. Appl., 2022

An Improved Architecture of Group Method of Data Handling for Stability Evaluation of Cross-sectional Bank on Alluvial Threshold Channels.
Proceedings of the Intelligent Computing, 2022

Estimation of Velocity Field in Narrow Open Channels by a Hybrid Metaheuristic ANFIS Network.
Proceedings of the Intelligent Computing, 2022

Evaluating Parshall flume aeration with experimental observations and advance soft computing techniques.
Neural Comput. Appl., 2021

An Assessment of Extreme Learning Machine Model for Estimation of Flow Variables in Curved Irrigation Channels.
Proceedings of the Intelligent Computing, 2021

A comparison of artificial intelligence-based classification techniques in predicting flow variables in sharp curved channels.
Eng. Comput., 2020

Development of optimal water supply plan using integrated fuzzy Delphi and fuzzy ELECTRE III methods - Case study of the Gamasiab basin.
Expert Syst. J. Knowl. Eng., 2020

A Novel Comprehensive Evaluation Method for Estimating the Bank Profile Shape and Dimensions of Stable Channels Using the Maximum Entropy Principle.
Entropy, 2020

A Bayesian Monte-Carlo Uncertainty Model for Assessment of Shear Stress Entropy.
CoRR, 2020

A reliable time-series method for predicting arthritic disease outcomes: New step from regression toward a nonlinear artificial intelligence method.
Comput. Methods Programs Biomed., 2020

Development of a linear based stochastic model for daily soil temperature prediction: One step forward to sustainable agriculture.
Comput. Electron. Agric., 2020

A New Approach to Estimate the Discharge Coefficient in Sharp-Crested Rectangular Side Orifices Using Gene Expression Programming.
Proceedings of the Intelligent Computing, 2020

Prediction of Discharge Capacity of Labyrinth Weir with Gene Expression Programming.
Proceedings of the Intelligent Systems and Applications, 2020

Applying Upstream Satellite Signals and a 2-D Error Minimization Algorithm to Advance Early Warning and Management of Flood Water Levels and River Discharge.
IEEE Trans. Geosci. Remote. Sens., 2019

Modeling unsaturated hydraulic conductivity by hybrid soft computing techniques.
Soft Comput., 2019

3D flow simulation of straight groynes using hybrid DE-based artificial intelligence methods.
Soft Comput., 2019

Reliable method of determining stable threshold channel shape using experimental and gene expression programming techniques.
Neural Comput. Appl., 2019

Sensitivity analysis of parameters affecting scour depth around bridge piers based on the non-tuned, rapid extreme learning machine method.
Neural Comput. Appl., 2019

Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting.
Eng. Comput., 2019

Predicting stable alluvial channel profiles using emotional artificial neural networks.
Appl. Soft Comput., 2019

Implementation of Univariate Paradigm for Streamflow Simulation Using Hybrid Data-Driven Model: Case Study in Tropical Region.
IEEE Access, 2019

Remote Sensing Satellite Data Preparation for Simulating and Forecasting River Discharge.
IEEE Trans. Geosci. Remote. Sens., 2018

Comparison of genetic programming and radial basis function neural network for open-channel junction velocity field prediction.
Neural Comput. Appl., 2018

Estimating shear stress in a rectangular channel with rough boundaries using an optimized SVM method.
Neural Comput. Appl., 2018

Predicting discharge coefficient of triangular labyrinth weir using extreme learning machine, artificial neural network and genetic programming.
Neural Comput. Appl., 2018

New radial basis function network method based on decision trees to predict flow variables in a curved channel.
Neural Comput. Appl., 2018

A combined adaptive neuro-fuzzy inference system-firefly algorithm model for predicting the roller length of a hydraulic jump on a rough channel bed.
Neural Comput. Appl., 2018

Evaluating the apparent shear stress in prismatic compound channels using the Genetic Algorithm based on Multi-Layer Perceptron: A comparative study.
Appl. Math. Comput., 2018

Evolutionary Pareto optimization of an ANFIS network for modeling scour at pile groups in clear water condition.
Fuzzy Sets Syst., 2017

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.
Appl. Soft Comput., 2017

Estimating the shear stress distribution in circular channels based on the randomized neural network technique.
Appl. Soft Comput., 2017

Comparative analysis of GMDH neural network based on genetic algorithm and particle swarm optimization in stable channel design.
Appl. Math. Comput., 2017

Extreme learning machine assessment for estimating sediment transport in open channels.
Eng. Comput., 2016

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.
Appl. Soft Comput., 2016

Firefly optimization algorithm effect on support vector regression prediction improvement of a modified labyrinth side weir's discharge coefficient.
Appl. Math. Comput., 2016

Determination of the most influential weather parameters on reference evapotranspiration by adaptive neuro-fuzzy methodology.
Comput. Electron. Agric., 2015

Gene expression programming to predict the discharge coefficient in rectangular side weirs.
Appl. Soft Comput., 2015