This article presents a state-of-the-art review of the applications of Artificial Intelligence (AI),
Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in …

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 …

Accurate prediction of material costs is essential for proper management and budgeting of
construction projects. Material price fluctuation is one of the most important contributors to …

Productivity is described as the quantitative measure between the number of resources used
and the output produced, generally referred to man‐hours required to produce the final …

Probabilistic neural network has successfully solved all kinds of engineering problems in
various fields since it is proposed. In probabilistic neural network, Spread has great …

It is a challenging task for pedestrians to cross a road with multiple traffic lanes and busy
traffic. Many footbridges and underpasses have been built in the urban area of metropolitan …

Accurate cost forecasting in budget planning and contract bidding is crucial for the success
of construction projects. Linear models such as the autoregressive integrated moving …

Construction projects are data-rich environments. However, those data are usually captured
for site-specific reasons, eg, the filing and approval of inspection requests, with little regard …

Construction Management (CM) has to deal with a variety of uncertainties related to Time,
Cost, Quality, and Safety, to name a few. Such uncertainties make the entire construction …

Overheads, especially site overhead costs, constitute a significant component of a
contractor's budget in a construction project. The estimation of site overhead costs based on …