Interpretable prediction of dynamic compressive strength of red sandstone under wetting-drying cycles using ensemble learning.
Saved in:
| Title: | Interpretable prediction of dynamic compressive strength of red sandstone under wetting-drying cycles using ensemble learning. |
|---|---|
| Authors: | Du B; School of Architectural Construction, Jiangsu Vocational Institute of Architectural Technology, Xuzhou, China.; State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou, China., Qi W; School of Architectural Construction, Jiangsu Vocational Institute of Architectural Technology, Xuzhou, China., Bai H; State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou, China. |
| Source: | PloS one [PLoS One] 2026 May 14; Vol. 21 (5), pp. e0348902. Date of Electronic Publication: 2026 May 14 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1932-6203 |
|---|---|
| DOI: | 10.1371/journal.pone.0348902 |
