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 …

Current approaches to automating cost estimation mainly focus on construction costs. Yet,
the two main services provided by design firms, namely 'designing the project', and …

In a globally competitive world, with diminishing profit margins and decreasing market
shares, the cost of a project is one of the major criteria in decision making at the early stages …

As a powerful artificial intelligence tool, the Artificial Neural Network (ANN) has been
increasingly applied in the field of construction management (CM) during the last few …

Purpose The purpose of this study to apply stacking ensemble machine learning algorithm
for predicting the cost of highway construction projects. Design/methodology/approach The …

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 …

Artificial neural networks (ANN) exhibit excellent performance in complex problems and
have been increasingly applied in the research field of construction management (CM) over …

Neural networks (NNs) have seen an increase in popularity in the last few years. As found in
several papers, they outperformed other machine learning algorithms and have improved …

Construction and demolition waste (C&DW) has emerged as a significant environmental
challenge, demanding urgent attention and innovative solutions. In response, this paper …