Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …

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 …

With the extensive adoption of artificial intelligence (AI), construction engineering and
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …

The rapid progression of technology has paved the path for the convergence of Artificial
Intelligence (AI), Internet of Things (IoT), and big data within the Architecture, Engineering …

The construction industry is known to be overwhelmed with resource planning, risk
management and logistic challenges which often result in design defects, project delivery …

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 …

Developments in data acquisition technologies, digital information and analysis, automated
construction processes, and advanced materials and products have finally started to move …

The growing application of data-driven analytics in materials science has led to the rise of
materials informatics. Within the arena of data analytics, deep learning has emerged as a …

This article investigates the evolution of Industry 4.0 in construction related to a scientific,
technological, and commercial perspective. Initially, it was determined which technologies …

Abstract'Big data'and the use of'Artificial Intelligence'(AI) is currently advancing due to the
increasing and even cheaper data collection and processing capabilities. Social and …