Extreme gradient boosting-based machine learning approach for green building cost prediction O Alshboul, A Shehadeh, G Almasabha, AS Almuflih Sustainability 14 (11), 6651, 2022 | 57 | 2022 |
Innovative and reliable model for shear strength of steel fibers reinforced concrete beams A Tarawneh, G Almasabha, R Alawadi, M Tarawneh Structures 32, 1015-1025, 2021 | 35 | 2021 |
Machine learning algorithm for shear strength prediction of short links for steel buildings G Almasabha, O Alshboul, A Shehadeh, AS Almuflih Buildings 12 (6), 775, 2022 | 32 | 2022 |
Prediction liquidated damages via ensemble machine learning model: Towards sustainable highway construction projects O Alshboul, A Shehadeh, REA Mamlook, G Almasabha, AS Almuflih, ... Sustainability 14 (15), 9303, 2022 | 29 | 2022 |
You only design once (YODO): Gaussian Process-Batch Bayesian optimization framework for mixture design of ultra high performance concrete E Saleh, A Tarawneh, MZ Naser, M Abedi, G Almasabha Construction and Building Materials 330, 127270, 2022 | 29 | 2022 |
Forecasting liquidated damages via machine learning-based modified regression models for highway construction projects O Alshboul, MA Alzubaidi, REA Mamlook, G Almasabha, AS Almuflih, ... Sustainability 14 (10), 5835, 2022 | 28 | 2022 |
Evaluating the impact of external support on green building construction cost: A hybrid mathematical and machine learning prediction approach O Alshboul, A Shehadeh, G Almasabha, REA Mamlook, AS Almuflih Buildings 12 (8), 1256, 2022 | 27 | 2022 |
Machine learning-based model for predicting the shear strength of slender reinforced concrete beams without stirrups O Alshboul, G Almasabha, A Shehadeh, REA Mamlook, AS Almuflih, ... Buildings 12 (8), 1166, 2022 | 27 | 2022 |
Multiobjective and multivariable optimization for earthmoving equipment O Alshboul, A Shehadeh, O Tatari, G Almasabha, E Saleh Journal of Facilities Management 22 (1), 21-48, 2024 | 25 | 2024 |
Optimization of the structural performance of buried reinforced concrete pipelines in cohesionless soils O Alshboul, G Almasabha, A Shehadeh, O Al Hattamleh, AS Almuflih Materials 15 (12), 4051, 2022 | 24 | 2022 |
ColumnsNet: Neural network model for constructing interaction diagrams and slenderness limit for FRP-RC columns A Tarawneh, G Almasabha, Y Murad Journal of Structural Engineering 148 (8), 04022089, 2022 | 20 | 2022 |
Data-driven flexural stiffness model of FRP-reinforced concrete slender columns G Almasabha, A Tarawneh, E Saleh, O Alajarmeh Journal of Composites for Construction 26 (3), 04022024, 2022 | 16 | 2022 |
Machine learning-based models for predicting the shear strength of synthetic fiber reinforced concrete beams without stirrups G Almasabha, KF Al-Shboul, A Shehadeh, O Alshboul Structures 52, 299-311, 2023 | 13 | 2023 |
Gene expression model to estimate the overstrength ratio of short links G Almasabha Structures 37, 528-535, 2022 | 13 | 2022 |
Structural behavior of concrete box culverts under deep burial A Shatnawi, G Almasabha, B Tarawneh Journal of Pipeline Systems Engineering and Practice 8 (4), 04017025, 2017 | 13 | 2017 |
Sustainability of using steel fibers in reinforced concrete deep beams without stirrups G Almasabha, Y Murad, A Alghossoon, E Saleh, A Tarawneh Sustainability 15 (6), 4721, 2023 | 12 | 2023 |
Effect of Fiber-Reinforced Polymer-Compression Reinforcement in Columns Subjected to Concentric and Eccentric Loading. AN Tarawneh, HM Dwairi, GS Almasabha, SA Majdalaweyh ACI Structural Journal 118 (3), 2021 | 10 | 2021 |
A comparative study of shear strength prediction models for SFRC deep beams without stirrups using Machine learning algorithms O Alshboul, G Almasabha, KF Al-Shboul, A Shehadeh Structures 55, 97-111, 2023 | 9 | 2023 |
Slenderness limit of FRP-confined rectangular concrete columns E Saleh, A Tarawneh, G Almasabha, Y Momani Structures 38, 435-447, 2022 | 8 | 2022 |
Hybrid data-driven machine learning framework for determining prestressed concrete losses A Tarawneh, E Saleh, G Almasabha, A Alghossoon Arabian Journal for Science and Engineering 48 (10), 13179-13193, 2023 | 7 | 2023 |