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

This study reviews the common practices and procedures conducted to identify the cost
drivers that the past literature has classified into two main categories: qualitative and …

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 …

The rapid development of computer science has brought inspirations to building retrofit.
Artificial intelligence (AI) provides more possibilities in decision-making for building retrofit …

Building maintenance has been considered a crucial part of the life cycle of a building as the
number of aged buildings is increasing globally. A number of maintenance-related problems …

Construction is an extremely information-dependent industry in which a project's success
largely depends on good access to and management of data. Effective project management …

Green building has been commonly accepted as an important strategy adopted by
governments around the world for mitigating climate change and energy shortage problem …

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 …

Cost estimation is the most important preliminary process in any construction project.
Therefore, construction cost estimation has the lion's share of the research effort in …