Towards big data driven construction industry
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 …
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
The field of artificial intelligence is currently experiencing relentless growth, with
innumerable models emerging in the research and development phases across various …
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 …
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 …
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
With the increasing popularity of prefabricated construction around the world, precast plants
face increasingly complex production scenarios. Because it is important for precast …
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 …
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 …
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
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 …
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
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 …
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 …
variables that are related to the contractor, project, client, competitors, tender and market …