Amirhossein Zaji

Orcid: 0000-0003-0017-4433

According to our database1, Amirhossein Zaji authored at least 22 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
AutoOLA: Automatic object level augmentation for wheat spikes counting.
Comput. Electron. Agric., February, 2023

Ontology-Based Driving Simulation for Traffic Lights Optimization.
ACM Trans. Intell. Syst. Technol., 2023

2022
Wheat spike localization and counting via hybrid UNet architectures.
Comput. Electron. Agric., 2022

A survey on deep learning applications in wheat phenotyping.
Appl. Soft Comput., 2022

Wheat spikes counting using object-level data augmentation.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

2021
Automated Vision Systems for Condition Assessment of Sewer and Water Pipelines.
IEEE Trans Autom. Sci. Eng., 2021

Wheat Spike Counting Using Regression and Localization Approaches.
Proceedings of the IEEE International Conference on Imaging Systems and Techniques, 2021

2020
A Variational Approach for Fusion of Panchromatic and Multispectral Images Using a New Spatial-Spectral Consistency Term.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

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

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

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

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

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


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