Amir Hossein Zaji

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 14

Top Topics

Autoregressive Conditional Heteroscedasticity

Data Preparation

Radial Basis Function

Hybrid Genetic Algorithm

Top Venues

Neural Comput. Appl.

Appl. Soft Comput.

IEEE Trans. Geosci. Remote. Sens.

Appl. Math. Comput.

Publications

Rakiba Rayhana, Yutong Jiao, Amir Hossein Zaji, Zheng Liu
Automated Vision Systems for Condition Assessment of Sewer and Water Pipelines. IEEE Trans Autom. Sci. Eng. 18 (4) (2021)
Azadeh Gholami, Hossein Bonakdari, Amir Hossein Zaji, Ali Akbar Akhtari
A comparison of artificial intelligence-based classification techniques in predicting flow variables in sharp curved channels. Eng. Comput. 36 (1) (2020)
Amir Hossein Zaji, Hossein Bonakdari, Bahram Gharabaghi
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. 57 (2) (2019)
Isa Ebtehaj, Hossein Bonakdari, Amir Hossein Zaji, Hassan Sharafi
Sensitivity analysis of parameters affecting scour depth around bridge piers based on the non-tuned, rapid extreme learning machine method. Neural Comput. Appl. 31 (12) (2019)
Akbar Safarzadeh, Amir Hossein Zaji, Hossein Bonakdari
3D flow simulation of straight groynes using hybrid DE-based artificial intelligence methods. Soft Comput. 23 (11) (2019)
Zohreh Sheikh Khozani, Hossein Bonakdari, Amir Hossein Zaji
Estimating shear stress in a rectangular channel with rough boundaries using an optimized SVM method. Neural Comput. Appl. 30 (8) (2018)
Hossein Bonakdari, Zohreh Sheikh Khozani, Amir Hossein Zaji, Navid Asadpour
Evaluating the apparent shear stress in prismatic compound channels using the Genetic Algorithm based on Multi-Layer Perceptron: A comparative study. Appl. Math. Comput. 338 (2018)
Minoo Sharifipour, Hossein Bonakdari, Amir Hossein Zaji
Comparison of genetic programming and radial basis function neural network for open-channel junction velocity field prediction. Neural Comput. Appl. 30 (3) (2018)
Azadeh Gholami, Hossein Bonakdari, Amir Hossein Zaji, Salma Ajeel Fenjan, Ali Akbar Akhtari
New radial basis function network method based on decision trees to predict flow variables in a curved channel. Neural Comput. Appl. 30 (9) (2018)
Amir Hossein Zaji, Hossein Bonakdari, Bahram Gharabaghi
Remote Sensing Satellite Data Preparation for Simulating and Forecasting River Discharge. IEEE Trans. Geosci. Remote. Sens. 56 (6) (2018)
Zohreh Sheikh Khozani, Hossein Bonakdari, Amir Hossein Zaji
Estimating the shear stress distribution in circular channels based on the randomized neural network technique. Appl. Soft Comput. 58 (2017)
Akbar Safarzadeh, Amir Hossein Zaji, Hossein Bonakdari
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. 60 (2017)
Amir Hossein Zaji, Hossein Bonakdari, Saeed Reza Khodashenas, Shahaboddin Shamshirband
Firefly optimization algorithm effect on support vector regression prediction improvement of a modified labyrinth side weir's discharge coefficient. Appl. Math. Comput. 274 (2016)
Azadeh Gholami, Hossein Bonakdari, Amir Hossein Zaji, David G. Michelson, Ali Akbar Akhtari
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. 48 (2016)
Isa Ebtehaj, Hossein Bonakdari, Amir Hossein Zaji, Hamed Azimi, Ali Sharifi
Gene expression programming to predict the discharge coefficient in rectangular side weirs. Appl. Soft Comput. 35 (2015)