Genetic Programming Bibliography entries for Mohammad Ali Ghorbani
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GP coauthors/coeditors:
Akram Abbaspour,
Davood Farsadizadeh,
Rahman Khatibi,
Ali Aytek,
Oleg Makarynskyy,
Jalal Shiri,
H Asadi,
P Yousefi,
Hossein Jabbari Khamnei,
Peyman Yousefi,
Ali Danandeh Mehr,
Shahab Kavehkar,
Valeriy Khokhlov,
Afshin Ashrafzadeh,
Sabereh Darbandi,
Mahsa Hasanpour Kashani,
Ozgur Kisi,
Anurag Malik,
Anil Kumar,
Sungwon Kim,
Vahid Karimi,
Ahmad Sharafati,
Nadhir Al-Ansari,
Sinan Q Salih,
Zaher Mundher Yaseen,
Kwok-Wing Chau,
Hamid Reza Niazkar,
Jalil Moshari,
Abdoljavad Khajavi,
Majid Niazkar,
Aida Negari,
Zahra Rajabi,
Mehdi Eftekhari,
Maryam Ehteshamzadeh,
Hadi Beirami,
Genetic Programming Articles by Mohammad Ali Ghorbani
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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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Zahra Rajabi and Mahdi Eftekhari and Mohammad Ghorbani and Maryam Ehteshamzadeh and Hadi Beirami.
Prediction of the degree of steel corrosion damage in reinforced concrete using field-based data by multi-gene genetic programming approach.
Soft Computing, 26(18) 2022.
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Anurag Malik and Anil Kumar and Sungwon Kim and Mahsa H. Kashani and Vahid Karimi and Ahmad Sharafati and Mohammad Ali Ghorbani and Nadhir Al-Ansari and Sinan Q. Salih and Zaher Mundher Yaseen and Kwok-Wing Chau.
Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model.
Engineering Applications of Computational Fluid Mechanics, 14(1):323-338, 2020.
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Mohammad Ali Ghorbani and Rahman Khatibi and Ali Danandeh Mehr and Hakimeh Asadi.
Chaos-based multigene genetic programming: A new hybrid strategy for river flow forecasting.
Journal of Hydrology, 562:455-467, 2018.
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Akram Abbaspour and Davood Farsadizadeh and Mohammad Ali Ghorbani.
Estimation of hydraulic jump on corrugated bed using artificial neural networks and genetic programming.
Water Science and Engineering, 6(2):189-198, 2013.
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Mohammad Ali Ghorbani and Hossein Jabbari Khamnei and Hakimeh Asadi and Peyman Yousefi.
Application of Chaos Theory and Genetic Programming in Runoff Time Series.
International Journal of Structural and Civil Engineering, 1(2):26-34, 2012.
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Rahman Khatibi and Mohammad Ali Ghorbani and Mahsa Hasanpour Kashani and Ozgur Kisi.
Comparison of three artificial intelligence techniques for discharge routing.
Journal of Hydrology, 403(3-4):201-212, 2011.
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Shahab Kavehkar and Mohammad Ali Ghorbani and Valeriy Khokhlov and Afshin Ashrafzadeh and Sabereh Darbandi.
Exploiting Two Intelligent Models to Predict Water Level: A field study of Urmia lake, Iran.
International Science Index, 5(3):731-735, 2011.
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Mohammad Ali Ghorbani and Rahman Khatibi and Ali Aytek and Oleg Makarynskyy and Jalal Shiri.
Sea water level forecasting using genetic programming and comparing the performance with Artificial Neural Networks.
Computer \& Geosciences, 36(5):620-627, 2010.
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Genetic Programming book chapters by Mohammad Ali Ghorbani
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M. A. Ghorbani and R. Khatibi and H. Asadi and P. Yousefi.
Inter-Comparison of an Evolutionary Programming Model of Suspended Sediment Time-Series with Other Local Models. In
Sebastian Ventura editor,
Genetic Programming - New Approaches and Successful Applications, chapter 12, pages 255-284. InTech, 2012.
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