| Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression A Shehadeh, O Alshboul, RE Al Mamlook, O Hamedat Automation in Construction 129, 103827, 2021 | 330 | 2021 |
| 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 | 96 | 2022 |
| Selection of heavy machinery for earthwork activities: A multi-objective optimization approach using a genetic algorithm A Shehadeh, O Alshboul, O Tatari, MA Alzubaidi, AHES Salama Alexandria Engineering Journal 61 (10), 7555-7569, 2022 | 67 | 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 | 47 | 2022 |
| Risk assessment model for optimal gain–pain share ratio in target cost contract for construction projects A Shehadeh, O Alshboul, O Hamedat Journal of Construction Engineering and Management 148 (2), 04021197, 2022 | 46 | 2022 |
| Deep and machine learning approaches for forecasting the residual value of heavy construction equipment: A management decision support model O Alshboul, A Shehadeh, M Al-Kasasbeh, RE Al Mamlook, N Halalsheh, ... Engineering, Construction and Architectural Management 29 (10), 4153-4176, 2022 | 42 | 2022 |
| 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 | 42 | 2022 |
| 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 | 41 | 2023 |
| 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 | 41 | 2022 |
| A comparative study of LightGBM, XGBoost, and GEP models in shear strength management of SFRC-SBWS O Alshboul, G Almasabha, A Shehadeh, K Al-Shboul Structures 61, 106009, 2024 | 40 | 2024 |
| 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 | 40 | 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 | 40 | 2022 |
| Development of integrated asset management model for highway facilities based on risk evaluation O Alshboul, A Shehadeh, O Hamedat International Journal of Construction Management 23 (8), 1355-1364, 2023 | 39 | 2023 |
| 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 | 39 | 2023 |
| 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 | 36 | 2024 |
| Slope displacement detection in construction: An automated management algorithm for disaster prevention A Shehadeh, O Alshboul, G Almasabha Expert Systems with Applications 237, 121505, 2024 | 35 | 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 | 35 | 2022 |
| Governmental investment impacts on the construction sector considering the liquidity trap O Alshboul, A Shehadeh, O Hamedat Journal of management in engineering 38 (2), 04021099, 2022 | 35 | 2022 |
| Exploring the efficacy of machine learning models for predicting soil radon exhalation rates KF Al-Shboul, G Almasabha, A Shehadeh, O Alshboul Stochastic Environmental Research and Risk Assessment 37 (11), 4307-4321, 2023 | 33 | 2023 |
| Breakthrough curves prediction of selenite adsorption on chemically modified zeolite using boosted decision tree algorithms for water treatment applications N Halalsheh, O Alshboul, A Shehadeh, RE Al Mamlook, A Al-Othman, ... Water 14 (16), 2519, 2022 | 33 | 2022 |
