[HTML][HTML] Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges

SO Abioye, LO Oyedele, L Akanbi, A Ajayi… - Journal of Building …, 2021 - Elsevier
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 …

Roles of artificial intelligence in construction engineering and management: A critical review and future trends

Y Pan, L Zhang - Automation in Construction, 2021 - Elsevier
With the extensive adoption of artificial intelligence (AI), construction engineering and
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …

[HTML][HTML] Deep learning in the construction industry: A review of present status and future innovations

TD Akinosho, LO Oyedele, M Bilal, AO Ajayi… - Journal of Building …, 2020 - Elsevier
The construction industry is known to be overwhelmed with resource planning, risk
management and logistic challenges which often result in design defects, project delivery …

Computer vision applications in construction: Current state, opportunities & challenges

S Paneru, I Jeelani - Automation in Construction, 2021 - Elsevier
Thousands of images and videos are collected from construction projects during
construction. These contain valuable data that, if harnessed efficiently, can help automate or …

Computer vision techniques in construction: a critical review

S Xu, J Wang, W Shou, T Ngo, AM Sadick… - … Methods in Engineering, 2021 - Springer
Computer vision has been gaining interest in a wide range of research areas in recent
years, from medical to industrial robotics. The architecture, engineering and construction …

Construction with digital twin information systems

R Sacks, I Brilakis, E Pikas, HS Xie… - Data-Centric …, 2020 - cambridge.org
The concept of a “digital twin” as a model for data-driven management and control of
physical systems has emerged over the past decade in the domains of manufacturing …

Intelligent manufacturing execution systems: A systematic review

A Shojaeinasab, T Charter, M Jalayer, M Khadivi… - Journal of Manufacturing …, 2022 - Elsevier
The fast-growing demand for effective Industry 4.0-ready systems from academics and
practitioners has required an assessment of the state-of-the-art research and …

Deep learning for site safety: Real-time detection of personal protective equipment

ND Nath, AH Behzadan, SG Paal - Automation in construction, 2020 - Elsevier
The leading causes of construction fatalities include traumatic brain injuries (resulted from
fall and electrocution) and collisions (resulted from struck by objects). As a preventive step …

Robots in inspection and monitoring of buildings and infrastructure: A systematic review

S Halder, K Afsari - Applied Sciences, 2023 - mdpi.com
Regular inspection and monitoring of buildings and infrastructure, that is collectively called
the built environment in this paper, is critical. The built environment includes commercial and …

A roadmap for quality control of hardening and hardened printed concrete

V Mechtcherine, K Van Tittelboom, A Kazemian… - Cement and Concrete …, 2022 - Elsevier
This article focuses on the specifics in characterizing the properties of additively
manufactured, cement-based materials in their hardening and hardened states. Such …