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Deterministic and probabilistic risk management approaches in construction projects: A systematic literature review and comparative analysis
Risks and uncertainties are inevitable in construction projects and can drastically change
the expected outcome, negatively impacting the project's success. However, risk …
the expected outcome, negatively impacting the project's success. However, risk …
A comparative study of LightGBM, XGBoost, and GEP models in shear strength management of SFRC-SBWS
Steel fiber reinforced concrete (SFRC) was revealed to have superior mechanical properties
compared to plain concrete, especially under shear loads. However, Due to a lack of …
compared to plain concrete, especially under shear loads. However, Due to a lack of …
A comparative study of shear strength prediction models for SFRC deep beams without stirrups using Machine learning algorithms
This study aims to evaluate the shear strength of stirrups-free Steel Fiber Reinforced
Concrete (SFRC) deep beams and to predict their shear strength values using Machine …
Concrete (SFRC) deep beams and to predict their shear strength values using Machine …
Smart and automated infrastructure management: A deep learning approach for crack detection in bridge images
Artificial Intelligence (AI) and allied disruptive technologies have revolutionized the scientific
world. However, civil engineering, in general, and infrastructure management, in particular …
world. However, civil engineering, in general, and infrastructure management, in particular …
Machine learning-based models for predicting the shear strength of synthetic fiber reinforced concrete beams without stirrups
Stirrups can be added to reinforced concrete (RC) beams made of plain concrete to increase
the shear strength providing better performance against embrittlement. If the need for shear …
the shear strength providing better performance against embrittlement. If the need for shear …
Exploring the efficacy of machine learning models for predicting soil radon exhalation rates
The correlation between soil radon exhalation rate (Rn-ER) and its natural radionuclide
content is complex, making quantification difficult using traditional regression methods. This …
content is complex, making quantification difficult using traditional regression methods. This …
The relationship between economic complexity and green economy with earnings management
Z Ahmadi, M Salehi, M Rahmani - Journal of Facilities Management, 2025 - emerald.com
Purpose This study aims to analyze the relationship between economic complexity (EC) and
the green economy (GE) with the real and accrual earnings management (REM and AEM) of …
the green economy (GE) with the real and accrual earnings management (REM and AEM) of …
Integrating climate change predictions into infrastructure degradation modelling using advanced markovian frameworks to enhanced resilience
This study introduces a prognostic model that quantifies infrastructure degradation in
highway systems, incorporating the impacts of climate change using an advanced …
highway systems, incorporating the impacts of climate change using an advanced …
[HTML][HTML] Cost and material quantities prediction models for the construction of underground metro stations
This paper addresses the gap in the scientific literature regarding construction cost
estimates for the construction of underground metro stations. It provides preliminary cost …
estimates for the construction of underground metro stations. It provides preliminary cost …
Vehicle collisions analysis on highways based on multi-user driving simulator and multinomial logistic regression model on US highways in Michigan
Traffic collision on the highway has become a serious issue because they delay the
sustainable development of society. Highway accidents on I-69 have one of the highest …
sustainable development of society. Highway accidents on I-69 have one of the highest …