In recent two decades, artificial neural networks have been extensively used in many
business applications. Despite the growing number of research papers, only few studies …

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

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 addition to materials, labor, equipment, and method, construction cost depends on many
other factors such as the project locality, type, construction duration, scheduling, and the …

Abstract Decentralizing the Artificial Intelligence (AI) applications is deemed the next wave of
Blockchain Technology (BT) in the construction industry. Most of previous research studies …

Previous studies reveal the need for a tool to evaluate various aspects of building design in
early design stages. This paper proposes a multi-attribute based tool to address this need …

With the advent of big data era, the construction industry has focused on processing large
quantities of engineering data and extracting their value. However, inaccurate manual …

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 …

A case-based reasoning model is proposed, where experience is included in all processes
of construction cost estimating by the analytic hierarchy process. The model overcomes the …

Artificial neural network (ANN) has acquired noticeable interest from the research
community to handle complex problems in Construction and Building engineering (CB). This …