Artificial intelligence (AI) has emerged as a promising technological solution for addressing
critical infrastructure construction challenges, such as elevated accident rates, suboptimal …

Accurate building construction cost prediction is critical, especially for sustainable projects
(ie, green buildings). Green building construction contracts are relatively new to the …

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 …

The architecture, engineering, and construction (AEC) industry invests significant resources
in executing construction projects. However, contractual construction disagreements …

As a fundamental feature of green building cost forecasting, external support is crucial.
However, minimal research efforts have been directed to develo** practical models for …

Highway construction projects are important for financial and social development in the
United States. Such types of construction are usually accompanied by construction delay …

The utilization of regression models and machine learning algorithms in waste-to-energy
systems has the potential to enhance the efficiency and effectiveness of these systems. The …

The influence of concrete mix properties on the shear strength of slender structured concrete
beams without stirrups (SRCB-WS) is a widespread point of contention. Over the past six …

The rapid growth of using the short links in steel buildings due to their high shear strength
and rotational capacity attracts the attention of structural engineers to investigate the …

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 …