Towards big data driven construction industry

F Li, Y Laili, X Chen, Y Lou, C Wang, H Yang… - Journal of Industrial …, 2023 - Elsevier
The construction industry is currently going through an intelligent revolution. The profound
transformation of the Industry 4.0 era is made possible by contemporary technologies such …

The application of artificial intelligence in project management research: A review

J Gil, J Martinez Torres, R González-Crespo - 2021 - reunir.unir.net
The field of artificial intelligence is currently experiencing relentless growth, with
innumerable models emerging in the research and development phases across various …

[HTML][HTML] Applications of fuzzy hybrid techniques in construction engineering and management research

PHD Nguyen, AR Fayek - Automation in Construction, 2022 - Elsevier
Construction engineering and management (CEM) becomes more complex with increasing
project size and complexity. Various fuzzy hybrid techniques have been implemented to …

Efficacy of monitoring and evaluation function in achieving project success in Kenya

CG Kamau, HB Mohamed - 2015 - 41.89.128.50
This paper sets out to review literature on the efficacy of monitoring and evaluation in
achieving project success in Kenya. Several studies have been carried out with an aim of …

Flowshop scheduling optimization for multi-shift precast production with on-time delivery

Y Dan, G Liu, C Mao, K Li, P Xu - Engineering Applications of Artificial …, 2024 - Elsevier
With the increasing popularity of prefabricated construction around the world, precast plants
face increasingly complex production scenarios. Because it is important for precast …

[HTML][HTML] Determining uncertainties in AI applications in AEC sector and their corresponding mitigation strategies

Y An, H Li, T Su, Y Wang - Automation in Construction, 2021 - Elsevier
Abstract The Artificial Intelligence (AI) methodologies and techniques have been used to
solve a wide spectrum of engineering problems in Architectural, Engineering and …

Estimation at completion in civil engineering projects: review of regression and soft computing models

AM Araba, ZA Memon… - Knowledge …, 2021 - … journals.publicknowledgeproject.org
Construction projects are usually associated with several challenges owing to the varying
process during the project lifetime. Hence, the final cost of any civil engineering project is …

Estimate-at-completion (EAC) prediction using Archimedes optimization with adaptive fuzzy and neural networks

AA Mhady, C Budayan, AP Gurgun - Automation in Construction, 2024 - Elsevier
Construction companies estimate project costs at the beginning of the project; however,
many factors impact the final project cost. Estimate at Completion (EAC) is a critical …

Hybrid intelligence approach based on LS-SVM and Differential Evolution for construction cost index estimation: A Taiwan case study

MY Cheng, ND Hoang, YW Wu - Automation in Construction, 2013 - Elsevier
In construction industry, cost escalation is a major cause of project failure. The reason is that
construction prices fluctuate over time and they are influenced by numerous factors. This …

A support vector machine method for bid/no bid decision making

R Sonmez, B Sözgen - Journal of Civil Engineering and …, 2017 - Taylor & Francis
The bid/no bid decision is an important and complex process, and is impacted by numerous
variables that are related to the contractor, project, client, competitors, tender and market …