Data mining in the construction industry: Present status, opportunities, and future trends

H Yan, N Yang, Y Peng, Y Ren - Automation in Construction, 2020 - Elsevier
The construction industry is experiencing remarkable growth in the data generation. Data
mining (DM) from considerable amount of data in the construction industry has emerged as …

Automated methods for activity recognition of construction workers and equipment: State-of-the-art review

B Sherafat, CR Ahn, R Akhavian… - Journal of …, 2020 - ascelibrary.org
Equipment and workers are two important resources in the construction industry.
Performance monitoring of these resources would help project managers improve the …

Safety leading indicators for construction sites: A machine learning approach

CQX Poh, CU Ubeynarayana, YM Goh - Automation in construction, 2018 - Elsevier
The construction industry is one of the most dangerous industries in many countries. To
improve the situation, senior managers overseeing portfolios of construction projects need to …

Smartphone-based construction workers' activity recognition and classification

R Akhavian, AH Behzadan - Automation in Construction, 2016 - Elsevier
Understanding the state, behavior, and surrounding context of construction workers is
essential to effective project management and control. Exploiting the integrated sensors of …

Intelligent technologies for construction machinery using data-driven methods

Z Zheng, F Wang, G Gong, H Yang, D Han - Automation in Construction, 2023 - Elsevier
Along with the rapid development of infrastructure worldwide, traditional manual operations
have been a concern that restricts the high efficiency, safety, and quality of construction …

Construction equipment activity recognition for simulation input modeling using mobile sensors and machine learning classifiers

R Akhavian, AH Behzadan - Advanced Engineering Informatics, 2015 - Elsevier
Although activity recognition is an emerging general area of research in computer science,
its potential in construction engineering and management (CEM) domain has not yet been …

[HTML][HTML] Interaction analysis for vision-based activity identification of earthmoving excavators and dump trucks

J Kim, S Chi, J Seo - Automation in Construction, 2018 - Elsevier
Activity identification is an essential step to measure and monitor the performance of
earthmoving operations. Many vision-based methods that automatically capture and explain …

Integrating IoT into operational workflows for real-time and automated decision-making in repetitive construction operations

J Louis, PS Dunston - Automation in Construction, 2018 - Elsevier
Construction operations are typically spread across large areas and require remote
collaboration between multiple disparate resources—characteristics that create logistical …

Activity analysis of construction equipment using audio signals and support vector machines

CF Cheng, A Rashidi, MA Davenport… - Automation in …, 2017 - Elsevier
In the construction industry, especially for civil infrastructure projects, a large portion of
overall project expenses are allocated towards various costs associated with heavy …

Visualization, information modeling, and simulation: Grand challenges in the construction industry

F Leite, Y Cho, AH Behzadan, SH Lee… - Journal of Computing …, 2016 - ascelibrary.org
With the rapid advancement of sensing and computing technology and the wide adoption of
mobile computing, the construction industry has faced a rise in the amount of information …