A limited assessment of the development process and various stages of machine learning
(ML) based solutions for construction engineering (CE) problems are available in the …

The construction engineering and management (CEM) domain frequently meets complex
tasks due to the unavoidable complicated operation environments and the involvement of …

Accurate cost forecasting in budget planning and contract bidding is crucial for the success
of construction projects. Linear models such as the autoregressive integrated moving …

Purpose The present study aims to develop a risk-supported case-based reasoning (RS-
CBR) approach for water-related projects by incorporating various uncertainties and risks in …

Cost estimates in the early stages of project development are essential for making the right
decisions, but they are a huge challenge and risk for owners and potential contractors due to …

Purpose Accurate and timely cost prediction is critical to the success of construction projects
which is still facing challenges especially at the early stage. In the context of rapid …

THE EFFECT OF LABOR INPUT, CONSTRUCTION COST, AND BUILDING PERMITS ON
PRODUCTION CONSTRUCTION WITH STRUCTURAL EQUATION MODELING, Page 1 Intern …

Residential foundation selection is critical for the lifetime performance of the project, but the
type of foundation selected can depend on cost. This study aims to compare the new …

Purpose In recent years, there has been a growing interest in the potential of data analytics
to enhance project delivery. Yet many argue that its application in projects is still lagging …

During the initial stages of engineering projects management, the accurate estimation of
equipment costs plays a crucial role in determining project approval decisions. However …