Artificial intelligence in infrastructure construction: A critical review

K Chen, X Zhou, Z Bao, MJ Skibniewski… - Frontiers of Engineering …, 2024 - Springer
Artificial intelligence (AI) has emerged as a promising technological solution for addressing
critical infrastructure construction challenges, such as elevated accident rates, suboptimal …

AI integration in construction safety: Current state, challenges, and future opportunities in text, vision, and audio based applications

ABK Rabbi, I Jeelani - Automation in Construction, 2024 - Elsevier
High occupational injury and fatality rate in the construction industry is a serious global
concern. Recognizing AI as a solution to enhance safety performance, this study reviews …

Role of national conditions in occupational fatal accidents in the construction industry using interpretable machine learning approach

K Koc - Journal of Management in Engineering, 2023 - ascelibrary.org
Current national occupational safety and health (OSH) initiatives follow reactive approaches,
ie, if it breaks, fix it. Existing accounts, however, failed to improve national OSH …

Novel ensemble learning algorithm for early detection of lower back pain using spinal anomalies

M Haider, MSA Hashmi, A Raza, M Ibrahim… - Mathematics, 2024 - mdpi.com
Lower back pain (LBP) is a musculoskeletal condition that affects millions of people
worldwide and significantly limits their mobility and daily activities. Appropriate ergonomics …

Cloud-based information system for automated precast concrete transportation planning

JY Jang, S Ahn, TW Kim - Automation in Construction, 2023 - Elsevier
Transportation planning of precast concrete (PC) products require a large amount of
information to be integrated and communicated among the managers. However, without a …

[HTML][HTML] Assessing and predicting the illegal dumping risks in relation to road characteristics

L Du, J Zuo, J Vanzo, R Chang, G Zillante - Waste Management, 2023 - Elsevier
Using historical data to assess illegal dumping risks has significant potential to enhance the
effectiveness of waste management in low-population density counties where the ability to …

Automatic identification of the working state of high-rise building machine based on machine learning

X Pan, T Zhao, X Li, Z Zuo, G Zong, L Zhang - Applied Sciences, 2023 - mdpi.com
High-rise building machines (HBMs) play a crucial role in the construction of super-tall
buildings, with their working states directly impacting safety, quality, and progress. Given …

Deep learning and text mining: Classifying and extracting key information from construction accident narratives

J Li, C Wu - Applied Sciences, 2023 - mdpi.com
Construction accidents can lead to serious consequences. To reduce the occurrence of such
accidents and strengthen the execution capabilities in on-site safety management …

[HTML][HTML] Predicting and managing risk interactions and systemic risks in infrastructure projects using machine learning

A Moussa, M Ezzeldin, W El-Dakhakhni - Automation in Construction, 2024 - Elsevier
Infrastructure projects often encounter performance challenges, such as cost overruns and
safety issues, due to complex risk interactions and systemic risks. Existing literature treats …

Fall-portent detection for construction sites based on computer vision and machine learning

X Liu, F Xu, Z Zhang, K Sun - Engineering, Construction and …, 2023 - emerald.com
Purpose Fall accidents can cause casualties and economic losses in the construction
industry. Fall portents, such as loss of balance (LOB) and sudden sways, can result in fatal …