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 …

Accurate cost estimation at the early stage of a construction project is key factor in a project's
success. But it is difficult to quickly and accurately estimate construction costs at the planning …

Purpose Machine learning (ML) technologies are increasingly being applied in building cost
estimation as an advanced method to overcome the challenge of insufficient data and …

Construction projects require significant funding and are exposed to several risks. Public
construction projects require a major proportion of the annual government budget. Their …

Among the recent data mining techniques available, the boosting approach has attracted a
great deal of attention because of its effective learning algorithm and strong boundaries in …

To combat prevalent roadway aging, the California Department of Transportation (Caltrans)
implements routine rehabilitation projects, which require cost estimation models for better …

Ensuring the identification of building attributes is the primary task in developing a machine
learning cost estimation model. However, the existing research on building attributes has the …

Purpose Developing a reliable cost estimate at the early stage of construction projects is
challenging due to inadequate project information. Most of the information during this stage …

Preliminary project cost estimates are the first serious estimates made on a project. They
play an important role during the decision-making process, and are the benchmark with …

During the early stages of a project, it is beneficial to have an accurate preliminary estimate
of its cost. One way to make those estimates is by determining the amount of construction …