Genetic Programming Bibliography entries for Fadi Althoey
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Created by W.Langdon from
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GP coauthors/coeditors:
Abdulaziz Alaskar,
Ghasan Alfalah,
Mohammed Awad Abuhussain,
Muhammad Faisal Javed,
Ahmed Farouk Mohamed Hassan Deifalla,
Nivin A Ghamry,
Muhammad Naveed Akhter,
Zohaib Sattar Nagra,
Hamad Hassan Awan,
Fayez Alanazi,
Mohsin Ali Khan,
Sayed M Eldin,
Yasin Onuralp Ozkilic,
Muhammad Nasir Amin,
Mudassir Iqbal,
Kaffayatullah Khan,
Muhammad Iftikhar Faraz,
Muhammad Ghulam Qadir,
Anas Abdulalim Alabdullah,
Ali Ajwad,
Israr Ilyas,
Adeel Zafar,
Muhammad Talal Afzal,
Raid Alrowais,
Abdeliazim Mustafa Mohamed,
Abdullah Mohamed,
Nikolai Ivanovich Vatin,
Genetic Programming Articles by Fadi Althoey
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Fadi Althoey and Muhammad Naveed Akhter and Zohaib Sattar Nagra and Hamad Hassan Awan and Fayez Alanazi and Mohsin Ali Khan and Muhammad Faisal Javed and Sayed M. Eldin and Yasin Onuralp Ozkilic.
Prediction models for marshall mix parameters using bio-inspired genetic programming and deep machine learning approaches: A comparative study.
Case Studies in Construction Materials, 18:e01774, 2023.
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Abdulaziz Alaskar and Ghasan Alfalah and Fadi Althoey and Mohammed Awad Abuhussain and Muhammad Faisal Javed and Ahmed Farouk Deifalla and Nivin A. Ghamry.
Comparative study of genetic programming-based algorithms for predicting the compressive strength of concrete at elevated temperature.
Case Studies in Construction Materials, 18:e02199, 2023.
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Israr Ilyas and Adeel Zafar and Muhammad Talal Afzal and Muhammad Faisal Javed and Raid Alrowais and Fadi Althoey and Abdeliazim Mustafa Mohamed and Abdullah Mohamed and Nikolai Ivanovich Vatin.
Advanced Machine Learning Modeling Approach for Prediction of Compressive Strength of FRP Confined Concrete Using Multiphysics Genetic Expression Programming.
Polymers, 14(9):Article No. 1789, 2022.
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Muhammad Nasir Amin and Mudassir Iqbal and Fadi Althoey and Kaffayatullah Khan and Muhammad Iftikhar Faraz and Muhammad Ghulam Qadir and Anas Abdulalim Alabdullah and Ali Ajwad.
Investigating the Bond Strength of FRP Rebars in Concrete under High Temperature Using Gene-Expression Programming Model.
Polymers, 14(15):Article No. 2992, 2022.
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