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 architecture, engineering, and construction (AEC) industry is undergoing a substantial
change, and the technological advancements are shaping the future of this industry. Over …

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 …

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

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

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 …

Machine Learning (ML), a subset of Artificial Intelligence (AI), is gaining popularity in the
architectural, engineering, and construction (AEC) sector. This systematic study aims to …

The growth of the construction industry is severely limited by the myriad complex challenges
it faces such as cost and time overruns, health and safety, productivity and labour shortages …

The concerns surrounding sustainability, alternative energies, and lifestyle changes due to
the pandemic have resulted in a surge in the manufacturing of buildings utilizing Modern …