Assessment of AEC students' performance using BIM-into-VR
Building Information Modeling (BIM) and Virtual reality (VR) have attracted growing attention
within the architecture, engineering, and construction (AEC) industry in recent years …
within the architecture, engineering, and construction (AEC) industry in recent years …
Automated workers' ergonomic risk assessment in manual material handling using sEMG wearable sensors and machine learning
SE Mudiyanselage, PHD Nguyen, MS Rajabi… - Electronics, 2021 - mdpi.com
Manual material handling tasks have the potential to be highly unsafe from an ergonomic
viewpoint. Safety inspections to monitor body postures can help mitigate ergonomic risks of …
viewpoint. Safety inspections to monitor body postures can help mitigate ergonomic risks of …
Toward life cycle sustainability in infrastructure: the role of automation and robotics in PPP projects
M Hoeft, M Pieper, K Eriksson, HJ Bargstädt - Sustainability, 2021 - mdpi.com
This article identifies how project life cycle characteristics and automation and robotic
technologies influence the sustainability of public-private partnership (PPP) infrastructure …
technologies influence the sustainability of public-private partnership (PPP) infrastructure …
Construction industry 4.0 and sustainability: an enabling framework
Governments worldwide are taking actions to address the construction sector's sustainability
concerns, including high carbon emissions, health and safety risks, low productivity, and …
concerns, including high carbon emissions, health and safety risks, low productivity, and …
A small samples training framework for deep Learning-based automatic information extraction: Case study of construction accident news reports analysis
D Feng, H Chen - Advanced Engineering Informatics, 2021 - Elsevier
Abstract Knowledge management is crucial for construction safety management. Widely
collected and well-organized safety-related documents are recognized to be significant in …
collected and well-organized safety-related documents are recognized to be significant in …
Construction activity recognition with convolutional recurrent networks
T Slaton, C Hernandez, R Akhavian - Automation in Construction, 2020 - Elsevier
Although heavy equipment is an indispensable resource in many construction projects, it is
often underutilized. Inefficient usage patterns and frequent idling contribute to increased …
often underutilized. Inefficient usage patterns and frequent idling contribute to increased …
Incentivisation of digital technology takers in the construction industry
A Ebekozien, MS Samsurijan - Engineering, Construction and …, 2022 - emerald.com
Purpose Studies showed that digital technology applications in the construction industry are
low, especially in many developing nations. Construction incentivisation (CI) is one of the …
low, especially in many developing nations. Construction incentivisation (CI) is one of the …
[PDF][PDF] Lean construction 4.0: Exploring the challenges of development in the AEC industry
ABSTRACT In 1994, Lean Construction was understood as the application of Toyota
Production principles to Construction. Since then, Lean Construction researchers and …
Production principles to Construction. Since then, Lean Construction researchers and …
Implications of machine learning integrated technologies for construction progress detection under industry 4.0 (IR 4.0)
The IR 4.0 and automated construction progress detection are greenfield areas among
researchers in current times. However, the implementation of the IR 4.0 theme for progress …
researchers in current times. However, the implementation of the IR 4.0 theme for progress …
Interoperability of digital tools for the monitoring and control of construction projects
L Duarte-Vidal, RF Herrera, E Atencio… - Applied Sciences, 2021 - mdpi.com
Monitoring the progress on a construction site during the construction phase is crucial. An
inadequate understanding of the project status can lead to mistakes and inappropriate …
inadequate understanding of the project status can lead to mistakes and inappropriate …