| Publication Type | poster |
| School or College | College of Engineering |
| Department | Civil & Environmental Engineering |
| Creator | Gaire, Prakash |
| Other Author | Ibarra, Luis |
| Title | Identification of main predictors of collapse capacity on steel buildings using several sensitivity analysis techniques |
| Description | The authors are grateful to Dr. Stephen Brown from Aprovechar Lab L3C for his valuable feedback on the implementation of ML methodologies. The investigation is based upon work supported under a U.S. National Science Foundation grant. Any opinions, findings, conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the fuding agency. |
| Type | Text |
| Publisher | University of Utah |
| Subject | seismic collapse prediction; feature importance; machine learning |
| Language | eng |
| Rights Management | © Prakash Gaire; Luis Ibarra |
| Format Medium | application/pdf |
| ARK | ark:/87278/s6xjs386 |
| Setname | ir_uspace |
| ID | 2629794 |
| Reference URL | https://collections.lib.utah.edu/ark:/87278/s6xjs386 |