The rapid growth in electric vehicle (EV) adoption brings about the need for an efficient and
well-planned network of charging stations. This paper aims to address the problem of …

Ensuring the uninterrupted operation of equipment and systems is critical across various
industries. Preventive and corrective maintenance strategies play a vital role in achieving …

In this research, a groundbreaking intelligent model named the GWO-RF model is
introduced for the prediction of water inflow (WI) during tunnel construction. WI is a prevalent …

Zeolites are among the most popular porous solids for hydrogen storage. Hydrogen attaches
to the surface and microporous structure of zeolites. The literature mainly inspected the …

Construction projects are inherently complex and susceptible to various uncertainties
throughout their lifecycle. These uncertainties can significantly impact project feasibility …

Project management is a complex process that requires careful planning, execution, and
control. Traditional methods often struggle with large datasets, unforeseen challenges, and …

In this study, twelve machine learning (ML) techniques are used to accurately estimate the
safety factor of rock slopes (SFRS). The dataset used for developing these models consists …

In recent years, fuel cell technology has gained significant attention as an alternative energy
source. Efficient project scheduling and appropriate resource allocation are crucial factors …

In the construction industry, achieving optimal efficiency is paramount to ensuring project
success, minimizing costs, and meeting tight deadlines. This paper explores the application …

The precise prediction of tunnel convergence holds significant importance in ensuring the
safety and efficiency of tunnel construction. This study involves the construction of seven …