| GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs I Ebtehaj, H Bonakdari, AH Zaji, H Azimi, F Khoshbin Engineering Science and Technology, an International Journal 18 (4), 746-757, 2015 | 178 | 2015 |
| Gene expression programming to predict the discharge coefficient in rectangular side weirs I Ebtehaj, H Bonakdari, AH Zaji, H Azimi, A Sharifi Applied Soft Computing 35, 618-628, 2015 | 150 | 2015 |
| Adaptive neuro-fuzzy inference system multi-objective optimization using the genetic algorithm/singular value decomposition method for modelling the discharge coefficient in … F Khoshbin, H Bonakdari, SH Ashraf Talesh, I Ebtehaj, AH Zaji, H Azimi Engineering Optimization 48 (6), 933-948, 2016 | 86 | 2016 |
| Design of a support vector machine with different kernel functions to predict scour depth around bridge piers H Sharafi, I Ebtehaj, H Bonakdari, AH Zaji Natural Hazards 84, 2145-2162, 2016 | 85 | 2016 |
| Prediction of scour depth around bridge piers using self-adaptive extreme learning machine I Ebtehaj, AMA Sattar, H Bonakdari, AH Zaji Journal of Hydroinformatics 19 (2), 207-224, 2017 | 71 | 2017 |
| Simulation of open channel bend characteristics using computational fluid dynamics and artificial neural networks A Gholami, H Bonakdari, AH Zaji, AA Akhtari Engineering Applications of Computational Fluid Mechanics 9 (1), 355-369, 2015 | 69 | 2015 |
| Automated vision systems for condition assessment of sewer and water pipelines R Rayhana, Y Jiao, A Zaji, Z Liu IEEE Transactions on Automation Science and Engineering 18 (4), 1861-1878, 2020 | 68 | 2020 |
| Performance evaluation of two different neural network and particle swarm optimization methods for prediction of discharge capacity of modified triangular side weirs AH Zaji, H Bonakdari Flow Measurement and Instrumentation 40, 149-156, 2014 | 59 | 2014 |
| Application of artificial neural network and genetic programming models for estimating the longitudinal velocity field in open channel junctions AH Zaji, H Bonakdari Flow Measurement and Instrumentation 41, 81-89, 2015 | 55 | 2015 |
| Combination of sensitivity and uncertainty analyses for sediment transport modeling in sewer pipes I Ebtehaj, H Bonakdari, MJS Safari, B Gharabaghi, AH Zaji, HR Madavar, ... International Journal of Sediment Research 35 (2), 157-170, 2020 | 53 | 2020 |
| Open channel junction velocity prediction by using a hybrid self-neuron adjustable artificial neural network H Bonakdari, AH Zaji Flow Measurement and Instrumentation 49, 46-51, 2016 | 51 | 2016 |
| Firefly optimization algorithm effect on support vector regression prediction improvement of a modified labyrinth side weir's discharge coefficient AH Zaji, H Bonakdari, SR Khodashenas, S Shamshirband Applied Mathematics and Computation 274, 14-19, 2016 | 48 | 2016 |
| Design of modified structure multi-layer perceptron networks based on decision trees for the prediction of flow parameters in 90 open-channel bends A Gholami, H Bonakdari, AH Zaji, S Ajeel Fenjan, AA Akhtari Engineering Applications of Computational Fluid Mechanics 10 (1), 193-208, 2016 | 47 | 2016 |
| A new hybrid decision tree method based on two artificial neural networks for predicting sediment transport in clean pipes I Ebtehaj, H Bonakdari, AH Zaji Alexandria engineering journal 57 (3), 1783-1795, 2018 | 46 | 2018 |
| Remote sensing satellite data preparation for simulating and forecasting river discharge AH Zaji, H Bonakdari, B Gharabaghi IEEE Transactions on Geoscience and Remote Sensing 56 (6), 3432-3441, 2018 | 46 | 2018 |
| Reservoir water level forecasting using group method of data handling AH Zaji, H Bonakdari, B Gharabaghi Acta Geophysica 66, 717-730, 2018 | 44 | 2018 |
| Predicting the discharge coefficient of triangular plan form weirs using radian basis function and M5’methods A Akhbari, AH Zaji, H Azimi, M Vafaeifard Journal of Applied Research in Water and Wastewater 4 (1), 281-289, 2017 | 42 | 2017 |
| 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 A Gholami, H Bonakdari, AH Zaji, DG Michelson, AA Akhtari Applied Soft Computing 48, 563-583, 2016 | 42 | 2016 |
| Soft computing in estimating the compressive strength for high-performance concrete via concrete composition appraisal U Anyaoha, A Zaji, Z Liu Construction and Building Materials 257, 119472, 2020 | 38 | 2020 |
| Numerical investigation of flow field and flowmeter accuracy in open-channel junctions M Sharifipour, H Bonakdari, AH Zaji, S Shamshirband Engineering Applications of Computational Fluid Mechanics 9 (1), 280-290, 2015 | 36 | 2015 |
Bahram GharabaghiUniversity of GuelphDirección de correo verificada de uoguelph.ca
