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Odey Alshboul
Odey Alshboul
Assistant professor, Department of Civil Engineering, The Hashemite University, P.O. Box 330127
Verified email at hu.edu.jo
Title
Cited by
Cited by
Year
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
1972021
Production of geopolymer concrete using natural pozzolan: A parametric study
RH Haddad, O Alshbuol
Construction and Building Materials 114, 699-707, 2016
982016
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
572022
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
462022
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
322022
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
322022
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
292022
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
292022
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
292022
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
282022
Development of integrated asset management model for highway facilities based on risk evaluation
Odey Alshboul, Ali Shehadeh
International Journal of Construction Management, 2021
28*2021
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
272022
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
272022
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
252024
A Gaussian mixture model evaluation of construction companies’ business acceptance capabilities in performing construction and maintenance activities during COVID-19 pandemic
A Shehadeh, O Alshboul, O Hamedat
International Journal of Management Science and Engineering Management 17 (2 …, 2022
252022
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
242022
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
142022
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
132023
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
92023
Structural performance of buried reinforced concrete pipelines under deep embankment soil
G Almasabha, A Shehadeh, O Alshboul, O Al Hattamleh
Construction Innovation, 2023
62023
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