Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Importance-driven bottleneck model: a multi-stage deep learning approach for analyzing swelling–shrinkage behavior of wood species and their mechanical properties
Saved in:
| Published in: | Journal of Wood Science |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1864030192736927745 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Journal of Wood Science |
| description | |
| discipline_display | Environmental Sciences |
| discipline_facet | Environmental Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:36857 |
| institution | FRELIP |
| journal_source_facet | Journal of Wood Science |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Importance-driven bottleneck model: a multi-stage deep learning approach for analyzing swelling–shrinkage behavior of wood species and their mechanical properties — — — — — Forests and Forestry Conservation & Biodiversity Environmental Sciences |
| sub_discipline_display | Conservation & Biodiversity |
| sub_discipline_facet | Conservation & Biodiversity |
| subject_display | — — — — — Forests and Forestry Conservation & Biodiversity Environmental Sciences — — — — — Forests and Forestry Conservation & Biodiversity Environmental Sciences |
| subject_facet | — — — — — Forests and Forestry Conservation & Biodiversity Environmental Sciences |
| title | Importance-driven bottleneck model: a multi-stage deep learning approach for analyzing swelling–shrinkage behavior of wood species and their mechanical properties |
| title_auth | Importance-driven bottleneck model: a multi-stage deep learning approach for analyzing swelling–shrinkage behavior of wood species and their mechanical properties |
| title_full | Importance-driven bottleneck model: a multi-stage deep learning approach for analyzing swelling–shrinkage behavior of wood species and their mechanical properties |
| title_fullStr | Importance-driven bottleneck model: a multi-stage deep learning approach for analyzing swelling–shrinkage behavior of wood species and their mechanical properties |
| title_full_unstemmed | Importance-driven bottleneck model: a multi-stage deep learning approach for analyzing swelling–shrinkage behavior of wood species and their mechanical properties |
| title_short | Importance-driven bottleneck model: a multi-stage deep learning approach for analyzing swelling–shrinkage behavior of wood species and their mechanical properties |
| title_sort | importance-driven bottleneck model: a multi-stage deep learning approach for analyzing swelling–shrinkage behavior of wood species and their mechanical properties |
| topic | — — — — — Forests and Forestry Conservation & Biodiversity Environmental Sciences |
| url | https://link.springer.com/article/10.1186/s10086-026-02266-9 |