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 …

The field of computer vision has undergone rapid growth in recent years, yet the use of
computer vision in offsite construction remains an under-researched area of study. Given the …

Purpose The purpose of this paper is to investigate the potential integration of deep learning
(DL) and digital twins (DT), referred to as (DDT), to facilitate Construction 4.0 through an …

In the last decade, despite rapid advancements in artificial intelligence (AI) transforming
many industry practices, construction largely lags in adoption. Recently, the emergence and …

In the construction industry, managing health and safety concerns is paramount to
preventing accidents, injuries, and project delays. The integration of Artificial Intelligence (AI) …

In the last decade, despite rapid advancements in artificial intelligence (AI) transforming
many industry practices, construction largely lags in adoption. Recently, the emergence and …

Effective progress monitoring is crucial for successful construction project delivery. Visual
data, comprising images and videos of construction operations, has emerged as a valuable …

Due to its similarity to industrialized products, the offsite construction industry is seen as a
focus for the transformation of Construction 4.0. Many digital technologies have been …

Purpose The study is aimed to compare the prediction success of basic machine learning
and ensemble machine learning models and accordingly create novel prediction models by …

Given the challenges of innovation and adaptation to change, Construction 4.0 (C4. 0) is
triggering a revolution within construction and industry firms from automation to a greater …