Hossein Bonakdari
Orcid: 0000-0001-6169-3654
According to our database1,
Hossein Bonakdari
authored at least 38 papers
between 2015 and 2023.
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Bibliography
2023
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
2022
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
2021
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
2020
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
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
Proceedings of the Intelligent Systems and Applications, 2020
2019
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
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
2018
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
2017
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
2016
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
2015
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