Følg
Ghassan Almasabha
Ghassan Almasabha
Associate Professor of Structural Engineering, The Hashemite University, Jordan
Verificeret mail på hu.edu.jo
Titel
Citeret af
Citeret af
År
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
952022
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
452022
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
432022
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
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
402022
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
402022
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
402021
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
392022
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
382023
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
362023
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
352024
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
332024
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
322022
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
292024
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
272023
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
242022
Structural performance of buried reinforced concrete pipelines under deep embankment soil
G Almasabha, A Shehadeh, O Alshboul, O Al Hattamleh
Construction Innovation, 2023
232023
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
202023
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
202022
Machine Learning Regression Algorithms for Shear Strength Prediction of SFRC-DBs: Performance Evaluation and Comparisons
M Maabreh, G Almasabha
Arabian Journal for Science and Engineering 49 (4), 4711-4727, 2024
182024
Systemet kan ikke foretage handlingen nu. Prøv igen senere.
Artikler 1–20