Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach
Equifax (United States) · Hanyang University
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
978
total citations
- FWCI
- 50.95
- Percentile
- 100%
- References
- 29
Citations per year
Authors
3Topics & keywords
Topics
Keywords
- Failure mode and effects analysis
- Mode (computer interface)
- Random forest
- Identification (biology)
- Machine learning
- Computer science
- Artificial intelligence
- Rank (graph theory)
UN Sustainable Development Goals
- Life in Land
No related works found for this paper.