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 …
Systematic Literature Review on Knowledge Graphs in Construction Management from a Multi-Modal Perspective
J Zhang, S Jiang - International Journal of Human–Computer …, 2024 - Taylor & Francis
The research of knowledge graph in construction management (KGCM) has become a
current research hotspot. However, there are problems of insufficient data sources, low …
current research hotspot. However, there are problems of insufficient data sources, low …
Construction safety predictions with multi-head attention graph and sparse accident networks
The reliability of risk assessment is crucial for designing effective construction safety
management strategies. Construction safety prediction using machine learning models is …
management strategies. Construction safety prediction using machine learning models is …
Role of national conditions in occupational fatal accidents in the construction industry using interpretable machine learning approach
K Koc - Journal of Management in Engineering, 2023 - ascelibrary.org
Current national occupational safety and health (OSH) initiatives follow reactive approaches,
ie, if it breaks, fix it. Existing accounts, however, failed to improve national OSH …
ie, if it breaks, fix it. Existing accounts, however, failed to improve national OSH …
Multiedge graph convolutional network for house price prediction
Accurate house price prediction allows construction investors to make informed decisions
about the housing market and understand the growth opportunities for development and the …
about the housing market and understand the growth opportunities for development and the …
A data-driven recommendation system for construction safety risk assessment
Subjectivity and uncertainty of risk assessment (RA) procedures can be improved by
replacing guesswork with data-driven approaches such as machine learning (ML). Although …
replacing guesswork with data-driven approaches such as machine learning (ML). Although …
Predicting construction accident outcomes using graph convolutional and dual-edge safety networks
To improve site safety status, the construction safety literature has investigated machine
learning (ML) prediction models with a particular emphasis on their prediction accuracy. This …
learning (ML) prediction models with a particular emphasis on their prediction accuracy. This …
A decision-support productive resource recommendation system for enhanced construction project management
The escalating volume of data in engineering practice necessitates innovative
computational approaches for data-driven insights. Existing literature relies on isolated data …
computational approaches for data-driven insights. Existing literature relies on isolated data …
Generating synthetic data with variational autoencoder to address class imbalance of graph attention network prediction model for construction management
The predictive performance of machine learning (ML) models is challenged when trained on
class imbalance real-world construction datasets, reducing the accuracy of relevant …
class imbalance real-world construction datasets, reducing the accuracy of relevant …
Network-Based Safety Risk Analysis and Interactive Dashboard for Root Cause Identification in Construction Accident Management
Construction projects are characterized by dynamic environments where numerous safety
risks interact, leading to high rates of accidents and fatalities. Traditional safety analysis …
risks interact, leading to high rates of accidents and fatalities. Traditional safety analysis …