Using machine learning to analyze and predict construction task productivity
Open Access
- 10 January 2022
- journal article
- research article
- Published by Elsevier in Computer-Aided Civil and Infrastructure Engineering
- Vol. 37 (12) , 1602-1616
Abstract
No abstract availableKeywords
This publication has 68 references indexed in Scilit:
- Dynamic modeling of labor productivity in construction projectsInternational Journal of Project Management, 2013
- Towards improving construction labor productivity and projects’ performanceAlexandria Engineering Journal, 2011
- Labour-intensive construction sub-contractors: Their critical success factorsInternational Journal of Project Management, 2010
- Personnel tracking on construction sites using video camerasAdvanced Engineering Informatics, 2009
- Automated diagnosis of sewer pipe defects based on machine learning approachesExpert Systems with Applications, 2008
- Measuring productivity in the construction industryBuilding Research & Information, 2006
- Neural Networks in Civil Engineering: 1989–2000Computer-Aided Civil and Infrastructure Engineering, 2001
- Support vector machinesIEEE Intelligent Systems and their Applications, 1998
- Machine Learning Techniques for Civil Engineering ProblemsComputer-Aided Civil and Infrastructure Engineering, 1997
- Improving Productivity Estimates by Work SamplingJournal of Construction Engineering and Management, 1984