Research trends on machine learning in construction management: a scientometric analysis

TN Van, TN Quoc - Journal of Applied Science and Technology Trends, 2021 - jastt.org
Abstract Machine learning plays a vital role in construction industry which could make
improve project's safety, productivity, and quality. Many studies have attempted to explore …

Application of artificial neural networks in construction management: a scientometric review

H Xu, R Chang, M Pan, H Li, S Liu, RJ Webber, J Zuo… - Buildings, 2022 - mdpi.com
As a powerful artificial intelligence tool, the Artificial Neural Network (ANN) has been
increasingly applied in the field of construction management (CM) during the last few …

Scientometric Review of Articles Published in ASCE's Journal of Construction Engineering and Management from 2000 to 2018

R Jin, J Zuo, J Hong - Journal of Construction Engineering and …, 2019 - ascelibrary.org
This study aims to address research questions related to the evolution of academic research
in the field of construction engineering and management (CEM):(1) what are the mainstream …

Towards a data-rich Era: A bibliometric analysis of construction management from 2000 to 2020

S Zhu, D Li, J Zhu, H Feng - Buildings, 2022 - mdpi.com
The rapid development of new technologies has made the acquisition and processing of big
data much easier and more accessible to various domains including construction …

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 …

Research trends analysis using text mining in construction management: 2000–2020

EÇ Bilge, H Yaman - Engineering, Construction and Architectural …, 2022 - emerald.com
Purpose This study aims to identify the trends that have changed in the field of construction
management over the last 20 years. Design/methodology/approach In this study, 3,335 …

Artificial intelligence and machine learning applications in the project lifecycle of the construction industry: A comprehensive review

SD Datta, M Islam, MHR Sobuz, S Ahmed, M Kar - Heliyon, 2024 - cell.com
The construction industry faces many challenges, including schedule and cost overruns,
productivity constraints, and workforce shortages. Compared to other sectors, it lags in …

[PDF][PDF] Machine learning theory in building energy modeling and optimization: a bibliometric analysis

A Ghoshchi, R Zahedi, ZM Pour, A Ahmadi - J Mod Green Energy, 2022 - researchgate.net
In recent decades, the machine learning theory has been developed in the field of artificial
intelligence (AI), as it excludes all shortcomings of manpower, performs complex …

Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities

A Darko, APC Chan, MA Adabre, DJ Edwards… - Automation in …, 2020 - Elsevier
Abstract The Architecture, Engineering and Construction (AEC) industry is fraught with
complex and difficult problems. Artificial intelligence (AI) represents a powerful tool to assist …

[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 …