Construction cost predictions to reduce time risk assessment are indispensable steps for
process of decision-making of managers. Machine learning techniques need adequate …

Ensuring soil strength, as well as preliminary construction cost and duration prediction, is a
very crucial and preliminary aspect of any construction project. Similarly, building strong …

This paper analysis and reviews the construction projects in Libya. In Libya, construction
projects often face challenges due to the lack of proper information and data in cost …

Abstract Machine learning plays a vital role in construction industry which could make
improve project's safety, productivity, and quality. Many studies have attempted to explore …

Mega projects delivering rail infrastructure are constantly seeking cost-effective and efficient
technologies to sustain the growing population. Building information modeling (BIM) and …

Purpose The Government's investment in infrastructure projects is considerably high,
especially in bridge construction projects. Government authorities must establish an initial …

Accurate software cost estimation in Global Software Development (GSD) remains
challenging due to reliance on historical data and expert judgments. Traditional models …

Restoring residential buildings following earthquake damage requires a significant level of
resources. Being able to predict these resource requirements in advance and accurately …

Purpose The poor capacity of prefabricated construction cost estimation is the essential
reason for the low profitability of the general contractor. Therefore, this study aims to focus …

In recent years, the cost index predictions of construction engineering projects are becoming
important research topics in the field of construction management. Previous methods have …