Genetic Programming Bibliography entries for Majid Niazkar
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GP coauthors/coeditors:
Nasser Talebbeydokhti,
Seied Hosein Afzali,
Mohammad Zakwan,
Mohammad Reza Goodarzi,
Atiyeh Fatehifar,
Mohammad Javad Abedi,
Hamid Reza Niazkar,
Jalil Moshari,
Abdoljavad Khajavi,
Mohammad Ali Ghorbani,
Aida Negari,
Reza Piraei,
Andrea Menapace,
Genetic Programming Articles by Majid Niazkar
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Hamid Reza Niazkar and Jalil Moshari and Abdoljavad Khajavi and Mohammad Ghorbani and Majid Niazkar and Aida Negari.
Application of multi-gene genetic programming to the prognosis prediction of COVID-19 using routine hematological variables.
Scientific Reports, 14(1) 2024.
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Reza Piraei and Majid Niazkar and Seied Hosein Afzali and Andrea Menapace.
Application of Machine Learning Models to Bridge Afflux Estimation.
Water, 15(12):Article No. 2187, 2023.
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Majid Niazkar and Mohammad Reza Goodarzi and Atiyeh Fatehifar and Mohammad Javad Abedi.
Machine learning-based downscaling: application of multi-gene genetic programming for downscaling daily temperature at Dogonbadan, Iran, under CMIP6 scenarios.
Theoretical and Applied Climatology, 151(1-2) 2023.
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Mohammad Zakwan and Majid Niazkar.
A Comparative Analysis of Data-Driven Empirical and Artificial Intelligence Models for Estimating Infiltration Rates.
Complexity, 2021.
Special Issue: Frontiers in Data-Driven Methods for Understanding, Prediction, and Control of Complex Systems 2021.
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Majid Niazkar and Nasser Talebbeydokhti and Seied Hosein Afzali.
Bridge backwater estimation: A comparison between artificial intelligence models and explicit equations.
Scientia Iranica: Transactions on Civil Engineering (A), 28(2):573-585, 2021.
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Majid Niazkar and Mohammad Zakwan.
Assessment of Artificial Intelligence Models for Developing Single-Value and Loop Rating Curves.
Complexity, 2021.
Special Issue: Solving Complex Hydrological Processes using Advanced Artificial Intelligence Models.
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Genetic Programming book chapters by Majid Niazkar
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Majid Niazkar.
Chapter 19 - Multigene genetic programming and its various applications. In
Saeid Eslamian and Faezeh Eslamian editors,
Handbook of Hydroinformatics, pages 321-332. Elsevier, 2023.
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Majid Niazkar.
Chapter 17 - Appraisal of multigene genetic programming for estimating optimal properties of lined open channels with circular shapes incorporating constant and variable roughness scenarios. In
Mohammad Zakwan and Abdul Wahid and Majid Niazkar and Uday Chatterjee editors,
Water Resource Modeling and Computational Technologies, volume 7 of Current Directions in Water Scarcity Research, pages 285-297. Elsevier, 2022.
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Majid Niazkar and Mohammad Zakwan.
Chapter 26 - Application of machine learning models to side-weir discharge coefficient estimations in trapezoidal and rectangular open channels. In
Mohammad Zakwan and Abdul Wahid and Majid Niazkar and Uday Chatterjee editors,
Water Resource Modeling and Computational Technologies, volume 7 of Current Directions in Water Scarcity Research, pages 467-479. Elsevier, 2022.
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