Hasil Pencarian - Hamza Imran

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  1. 1
    Baricitinib for alopecia areata

    Baricitinib for alopecia areata oleh Hamza Imran, Fatimah Hoda, Firzah Shakil

    Diterbitkan 2023-04-01
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  2. 2
    Torsional Capacity Prediction of Reinforced Concrete Beams Using Machine Learning Techniques Based on Ensembles of Trees

    Torsional Capacity Prediction of Reinforced Concrete Beams Using Machine Learning Techniques Based on Ensembles of Trees oleh Diana S. O. Bernardo, Luís F. A. Bernardo, Hamza Imran, Tiago P. Ribeiro

    Diterbitkan 2023-01-01
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  3. 3
    Assessment of Soil–Structure Interaction Approaches in Mechanically Stabilized Earth Retaining Walls: A Review

    Assessment of Soil–Structure Interaction Approaches in Mechanically Stabilized Earth Retaining Walls: A Review oleh Hamza Imran, Duaa Al-Jeznawi, Musab Aied Qissab Al-Janabi, Luís Filipe Almeida Bernardo

    Diterbitkan 2023-09-01
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  4. 4
    Application of Multivariate Adaptive Regression Splines (MARS) approach in prediction of compressive strength of eco-friendly concrete

    Application of Multivariate Adaptive Regression Splines (MARS) approach in prediction of compressive strength of eco-friendly concrete oleh Ali H. Naser, Ali H. Badr, Sadiq N. Henedy, Krzysztof Adam Ostrowski, Hamza Imran

    Diterbitkan 2022-12-01
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  5. 5
    Development of Prediction Model to Predict the Compressive Strength of Eco-Friendly Concrete Using Multivariate Polynomial Regression Combined with Stepwise Method

    Development of Prediction Model to Predict the Compressive Strength of Eco-Friendly Concrete Using Multivariate Polynomial Regression Combined with Stepwise Method oleh Hamza Imran, Nadia Moneem Al-Abdaly, Mohammed Hammodi Shamsa, Amjed Shatnawi, Majed Ibrahim, Krzysztof Adam Ostrowski

    Diterbitkan 2022-01-01
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  6. 6
    Gradient Boosting Regression Tree Optimized with Slime Mould Algorithm to Predict the Higher Heating Value of Municipal Solid Waste

    Gradient Boosting Regression Tree Optimized with Slime Mould Algorithm to Predict the Higher Heating Value of Municipal Solid Waste oleh Esraa Q. Shehab, Farah Faaq Taha, Sabih Hashim Muhodir, Hamza Imran, Krzysztof Adam Ostrowski, Marcin Piechaczek

    Diterbitkan 2024-08-01
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  7. 7
    Prediction of the Bearing Capacity of Composite Grounds Made of Geogrid-Reinforced Sand over Encased Stone Columns Floating in Soft Soil Using a White-Box Machine Learning Model

    Prediction of the Bearing Capacity of Composite Grounds Made of Geogrid-Reinforced Sand over Encased Stone Columns Floating in Soft Soil Using a White-Box Machine Learning Model oleh Husein Ali Zeini, Nabeel Katfan Lwti, Hamza Imran, Sadiq N. Henedy, Luís Filipe Almeida Bernardo, Zainab Al-Khafaji

    Diterbitkan 2023-04-01
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  8. 8
    Prediction of Ecofriendly Concrete Compressive Strength Using Gradient Boosting Regression Tree Combined with GridSearchCV Hyperparameter-Optimization Techniques

    Prediction of Ecofriendly Concrete Compressive Strength Using Gradient Boosting Regression Tree Combined with GridSearchCV Hyperparameter-Optimization Techniques oleh Zaineb M. Alhakeem, Yasir Mohammed Jebur, Sadiq N. Henedy, Hamza Imran, Luís F. A. Bernardo, Hussein M. Hussein

    Diterbitkan 2022-10-01
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  9. 9
    Utilizing Multivariate Adaptive Regression Splines (MARS) for Precise Estimation of Soil Compaction Parameters

    Utilizing Multivariate Adaptive Regression Splines (MARS) for Precise Estimation of Soil Compaction Parameters oleh Musaab Sabah Abed, Firas Jawad Kadhim, Jwad K. Almusawi, Hamza Imran, Luís Filipe Almeida Bernardo, Sadiq N. Henedy

    Diterbitkan 2023-10-01
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  10. 10
    Development of Prediction Models for the Torsion Capacity of Reinforced Concrete Beams Using M5P and Nonlinear Regression Models

    Development of Prediction Models for the Torsion Capacity of Reinforced Concrete Beams Using M5P and Nonlinear Regression Models oleh Sadiq N. Henedy, Ali H. Naser, Hamza Imran, Luís F. A. Bernardo, Mafalda M. Teixeira, Zainab Al-Khafaji

    Diterbitkan 2022-12-01
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  11. 11
    XGBoost Prediction Model Optimized with Bayesian for the Compressive Strength of Eco-Friendly Concrete Containing Ground Granulated Blast Furnace Slag and Recycled Coarse Aggregate

    XGBoost Prediction Model Optimized with Bayesian for the Compressive Strength of Eco-Friendly Concrete Containing Ground Granulated Blast Furnace Slag and Recycled Coarse Aggregate oleh Salwa R. Al-Taai, Noralhuda M. Azize, Zainab Abdulrdha Thoeny, Hamza Imran, Luís F. A. Bernardo, Zainab Al-Khafaji

    Diterbitkan 2023-08-01
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  12. 12
    Shear Strength Prediction of Steel-Fiber-Reinforced Concrete Beams Using the M5P Model

    Shear Strength Prediction of Steel-Fiber-Reinforced Concrete Beams Using the M5P Model oleh Nadia Moneem Al-Abdaly, Mahdi J. Hussein, Hamza Imran, Sadiq N. Henedy, Luís Filipe Almeida Bernardo, Zainab Al-Khafaji

    Diterbitkan 2023-04-01
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  13. 13
    Shear Strength Prediction of Slender Steel Fiber Reinforced Concrete Beams Using a Gradient Boosting Regression Tree Method

    Shear Strength Prediction of Slender Steel Fiber Reinforced Concrete Beams Using a Gradient Boosting Regression Tree Method oleh Amjed Shatnawi, Hana Mahmood Alkassar, Nadia Moneem Al-Abdaly, Emadaldeen A. Al-Hamdany, Luís Filipe Almeida Bernardo, Hamza Imran

    Diterbitkan 2022-04-01
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  14. 14
    Machine Learning-Based Prediction Models for Punching Shear Strength of Fiber-Reinforced Polymer Reinforced Concrete Slabs Using a Gradient-Boosted Regression Tree

    Machine Learning-Based Prediction Models for Punching Shear Strength of Fiber-Reinforced Polymer Reinforced Concrete Slabs Using a Gradient-Boosted Regression Tree oleh Emad A. Abood, Marwa Hameed Abdallah, Mahmood Alsaadi, Hamza Imran, Luís Filipe Almeida Bernardo, Dario De Domenico, Sadiq N. Henedy

    Diterbitkan 2024-08-01
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  15. 15
    The Machine-Learning-Based Prediction of the Punching Shear Capacity of Reinforced Concrete Flat Slabs: An Advanced M5P Model Tree Approach

    The Machine-Learning-Based Prediction of the Punching Shear Capacity of Reinforced Concrete Flat Slabs: An Advanced M5P Model Tree Approach oleh Marwa Hameed Abdallah, Zainab Abdulrdha Thoeny, Sadiq N. Henedy, Nadia Moneem Al-Abdaly, Hamza Imran, Luís Filipe Almeida Bernardo, Zainab Al-Khafaji

    Diterbitkan 2023-07-01
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  16. 16
    The quintenary influence of industrial wastes on the compressive strength of high-strength geopolymer concrete under different curing regimes for sustainable structures; a GSVR-XGBoost hybrid model

    The quintenary influence of industrial wastes on the compressive strength of high-strength geopolymer concrete under different curing regimes for sustainable structures; a GSVR-XGB... oleh Cesar Garcia, Alexis Ivan Andrade Valle, Sabih Hashim Muhodir, Kennedy C. Onyelowe, Kennedy C. Onyelowe, Hamza Imran, Sadiq N. Henedy, Bala Mahesh Chilakala, Manvendra Verma

    Diterbitkan 2024-09-01
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  17. 17
    Estimating the compressive strength of lightweight foamed concrete using different machine learning-based symbolic regression techniques

    Estimating the compressive strength of lightweight foamed concrete using different machine learning-based symbolic regression techniques oleh Kennedy C. Onyelowe, Kennedy C. Onyelowe, Ahmed M. Ebid, Danilo Fernando Fernandez Vinueza, Néstor Augusto Estrada Brito, Nancy Velasco, Jorge Buñay, Sabih Hashim Muhodir, Hamza Imran, Shadi Hanandeh

    Diterbitkan 2024-08-01
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