Predictive analytics for early-stage construction costs estimation
SL Castro Miranda, E Del Rey Castillo, V Gonzalez… - Buildings, 2022 - mdpi.com
Low accuracy in the estimation of construction costs at early stages of projects has driven
the research on alternative costing methods that take advantage of computing advances …
the research on alternative costing methods that take advantage of computing advances …
A strategic roadmap to overcome blockchain technology barriers for sustainable construction: A deep learning-based dual-stage SEM-ANN approach
The adoption of blockchain technology in the sustainable construction industry in India is
slow. Existing literature in this area has primarily focused on the potential applications of …
slow. Existing literature in this area has primarily focused on the potential applications of …
[HTML][HTML] Explainable machine learning for project management control
Project control is a crucial phase within project management aimed at ensuring—in an
integrated manner—that the project objectives are met according to plan. Earned Value …
integrated manner—that the project objectives are met according to plan. Earned Value …
A Bibliometric Review on Safety Risk Assessment of Construction Based on CiteSpace Software and WoS Database
As urbanization continues to grow around the world, the risks associated with construction
are increasing. Scientific and practical risk assessments help reduce safety risks and …
are increasing. Scientific and practical risk assessments help reduce safety risks and …
Developing a national data-driven construction safety management framework with interpretable fatal accident prediction
Occupational accidents are frequent in the construction industry, containing significant risks
in the working environment. Therefore, early designation, taking preventive actions, and …
in the working environment. Therefore, early designation, taking preventive actions, and …
Role of Shapley additive explanations and resampling algorithms for contract failure prediction of public–private partnership projects
K Koc - Journal of Management in Engineering, 2023 - ascelibrary.org
A public–private partnership (PPP) is a common procurement model implemented
worldwide as a catalyst for economic growth and improved public infrastructure. However …
worldwide as a catalyst for economic growth and improved public infrastructure. However …
Using machine learning to improve cost and duration prediction accuracy in green building projects
A Darko, I Glushakova, EB Boateng… - Journal of Construction …, 2023 - ascelibrary.org
A major source of risk in green building projects (GBPs) is inaccurate human prediction of
the final project cost and duration, which in turn results in cost and schedule overruns (ie …
the final project cost and duration, which in turn results in cost and schedule overruns (ie …
Hybrid machine learning approach for construction cost estimation: An evaluation of extreme gradient boosting model
Estimating the project cost is an important process in the early stage of the construction
project. Accurate cost estimation prevents major issues like cost deficiency and disputes in …
project. Accurate cost estimation prevents major issues like cost deficiency and disputes in …
Developing an integrative data intelligence model for construction cost estimation
Construction cost estimation is one of the essential processes in construction management.
Project cost is a complex engineering problem due to various factors affecting the …
Project cost is a complex engineering problem due to various factors affecting the …
Techno-economic feasibility study for deep renovation of old apartment
J Choi, J Kim - Journal of Cleaner Production, 2023 - Elsevier
Old residential buildings are increasing worldwide, and renovations are being implemented
to solve this problem. Deep renovation methods, including horizontal expansion and vertical …
to solve this problem. Deep renovation methods, including horizontal expansion and vertical …