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 digital transformation era in the Architecture, Engineering, and Construction (AEC)
industry, Cognitive Digital Twins (CDT) are introduced as part of the next level of process …

The Industry 4.0 wave has driven various industries to be increasingly digital. Under this
trend, the construction industry is also seeking out new ways to keep pace with the rapid …

With increasing interest in automatic and intelligent systems to enhance the building and
construction industry, digital twins (DT) are gaining popularity as cost-effective solutions to …

In response to the global advocacy for digitalization, numerous industrial sectors are actively
advancing the implementation of digital twins (DTs). However, the construction industry has …

The notions of smart construction and smart or digital cities include many modern concepts
that are advocated today, especially in countries with advanced economies, and depend on …

Through the combination of virtual and real, multi-dimensional perception, and accurate
mapping, digital twin (DT) could describe the physical world in real-time and provide a …

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 …

Governments worldwide are taking actions to address the construction sector's sustainability
concerns, including high carbon emissions, health and safety risks, low productivity, and …

Advances in and pervasiveness of technologies like Internet of Things (IoT), Big Data (BD)
and Big Data Analytics (BDA), Artificial Intelligence (AI), Cloud Computing (CC) and Cyber …