Towards next generation design of sustainable, durable, multi-hazard resistant, resilient, and smart civil engineering structures

H Hao, K Bi, W Chen, TM Pham, J Li - Engineering Structures, 2023 - Elsevier
The design philosophy and methodology of civil engineering structures have been
constantly evolving, from the early strength-based to more recent performance-based design …

[HTML][HTML] Digital technology for quality management in construction: A review and future research directions

H Luo, L Lin, K Chen, MF Antwi-Afari, L Chen - Developments in the Built …, 2022 - Elsevier
Significant developments in digital technologies can potentially provide managers and
engineers with the ability to improve the quality of the construction industry. Acknowledging …

Combining autoregressive integrated moving average with Long Short-Term Memory neural network and optimisation algorithms for predicting ground water level

ZS Khozani, FB Banadkooki, M Ehteram… - Journal of Cleaner …, 2022 - Elsevier
The groundwater resources are the essential sources for irrigation and agriculture
management. Forecasting groundwater levels (GWL) for the current and future periods is an …

Deep learning-based activity-aware 3D human motion trajectory prediction in construction

MY Heravi, Y Jang, I Jeong, S Sarkar - Expert Systems with Applications, 2024 - Elsevier
Predicting human motion is a critical requirement in various applications, with particular
significance in the construction sector. This task presents significant challenges due to the …

Artificial intelligence (AI)-Based technology adoption in the construction industry: a cross national perspective using the technology acceptance model

S Na, S Heo, W Choi, C Kim, SW Whang - Buildings, 2023 - mdpi.com
The research has chosen the workers in construction-related companies in South Korea and
the United Kingdom (UK) as research subjects in order to analyse factors that influence their …

Construction safety management in the data-rich era: A hybrid review based upon three perspectives of nature of dataset, machine learning approach, and research …

Z Zhou, L Wei, J Yuan, J Cui, Z Zhang, W Zhuo… - Advanced Engineering …, 2023 - Elsevier
Although substantial progress in safety management performance has been made in the
construction industry, continuing fatalities and injuries at workplaces hinder sustainable …

Using context-guided data augmentation, lightweight CNN, and proximity detection techniques to improve site safety monitoring under occlusion conditions

H Chen, L Hou, GK Zhang, S Wu - Safety science, 2023 - Elsevier
Automated recognition of image patterns in surveillance cameras is beneficial for safety
monitoring. A representative application is visual proximity detection for accident prevention …

A privacy-preserving and unobtrusive sitting posture recognition system via pressure array sensor and infrared array sensor for office workers

X Zhang, J Fan, T Peng, P Zheng, CKM Lee… - Advanced Engineering …, 2022 - Elsevier
Sitting posture recognition is essential in preventing work-related musculoskeletal disorders
(WMSDs). WMSDs are of huge concern for office workers whose working process is …

Automatic tower crane layout planning system for high-rise building construction using generative adversarial network

R Li, HL Chi, Z Peng, X Li, APC Chan - Advanced Engineering Informatics, 2023 - Elsevier
With the spring up of high-rise building projects, tower crane layout planning (TCLP) is
increasingly crucial to avoid construction costs, safety issues, and productivity deficiencies …

Workforce forecasting in the building maintenance and repair work: Evaluating machine learning and LSTM models

N Cao, MCP Sing - Journal of Building Engineering, 2024 - Elsevier
Effective workforce forecasting is critical to strategic management in construction projects,
particularly ensuring staffing is optimized for efficient and timely project completion. This …