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Odey Alshboul
Odey Alshboul
Associate Professor, Department of Civil Engineering, The Hashemite University, P.O. Box 330127
Bestätigte E-Mail-Adresse bei hu.edu.jo
Titel
Zitiert von
Zitiert von
Jahr
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
3372021
Production of geopolymer concrete using natural pozzolan: A parametric study
RH Haddad, O Alshbuol
Construction and Building Materials 114, 699-707, 2016
1132016
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
1022022
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
702022
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
502022
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
492022
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
452024
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
432023
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
432022
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
422022
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
412022
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
402023
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
402022
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
402022
Development of integrated asset management model for highway facilities based on risk evaluation
Odey Alshboul, Ali Shehadeh
International Journal of Construction Management, 2021
39*2021
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
382024
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
362024
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
362023
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
352022
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
352022
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