[HTML][HTML] 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 …
Research trends on machine learning in construction management: A scientometric analysis
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 the …
project's safety, productivity, and quality. Many studies have attempted to explore the …
Decentralizing construction AI applications using blockchain technology
Abstract Decentralizing the Artificial Intelligence (AI) applications is deemed the next wave of
Blockchain Technology (BT) in the construction industry. Most of previous research studies …
Blockchain Technology (BT) in the construction industry. Most of previous research studies …
[HTML][HTML] Cost overrun risk assessment and prediction in construction projects: A Bayesian network classifier approach
Cost overrun risks are declared to be dynamic and interdependent. Ignoring the relationship
between cost overrun risks during the risk assessment process is one of the primary reasons …
between cost overrun risks during the risk assessment process is one of the primary reasons …
A comprehensive review of the Swiss cheese model in risk management
T Shabani, S Jerie, T Shabani - Safety in Extreme Environments, 2024 - Springer
The SCM, developed by James Reason in the 1990s, is a widely recognized and influential
model used to understand and manage complex systems and their associated risks. The …
model used to understand and manage complex systems and their associated risks. The …
Comprehensive root cause analysis of construction defects using semisupervised graph representation learning
Quality is a substantial pillar of construction success, as its failure poses a significant threat
to the construction budget and schedule. Effective root cause (RC) analysis allows for the …
to the construction budget and schedule. Effective root cause (RC) analysis allows for the …
Predicting cost impacts of nonconformances in construction projects using interpretable machine learning
Nonconformance (NCR) has long been a subject of research interest for its potential to
extrapolate information leading to a more productive environment in construction projects …
extrapolate information leading to a more productive environment in construction projects …
[HTML][HTML] Hybrid analytic hierarchy process–artificial neural network model for predicting the major risks and quality of Taiwanese construction projects
CL Lin, CL Fan, BK Chen - Applied Sciences, 2022 - mdpi.com
Construction projects are associated with risks, which influence projects' performance and
quality. To ensure the on-time completion of construction projects, project managers often …
quality. To ensure the on-time completion of construction projects, project managers often …
[HTML][HTML] Predicting the impact of construction rework cost using an ensemble classifier
Predicting construction cost of rework (COR) allows for the advanced planning and prompt
implementation of appropriate countermeasures. Studies have addressed the causation and …
implementation of appropriate countermeasures. Studies have addressed the causation and …
Predicting the cost of rework in high-rise buildings using graph convolutional networks
To reduce the risk of unexpected cost of rework (COR), a variety of predictive models have
been developed in the construction management literature. However, they primarily focus on …
been developed in the construction management literature. However, they primarily focus on …