Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Enhancing aerial human action recognition through GAN-boosted ResNeXt architecture with squeeze-and-excitation network
Saved in:
| Published in: | JDSA |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2025
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1864030189749534721 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | JDSA |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:3880 |
| institution | FRELIP |
| journal_source_facet | JDSA |
| publishDate | 2025 |
| publishDateSort | 2025 |
| record_format | rss_article |
| spellingShingle | Enhancing aerial human action recognition through GAN-boosted ResNeXt architecture with squeeze-and-excitation network Big data and Data science Computer Science & IT Engineering & Technology |
| sub_discipline_display | Computer Science & IT |
| sub_discipline_facet | Computer Science & IT |
| subject_display | Big data and Data science Computer Science & IT Engineering & Technology Big data and Data science Computer Science & IT Engineering & Technology |
| subject_facet | Big data and Data science Computer Science & IT Engineering & Technology |
| title | Enhancing aerial human action recognition through GAN-boosted ResNeXt architecture with squeeze-and-excitation network |
| title_auth | Enhancing aerial human action recognition through GAN-boosted ResNeXt architecture with squeeze-and-excitation network |
| title_full | Enhancing aerial human action recognition through GAN-boosted ResNeXt architecture with squeeze-and-excitation network |
| title_fullStr | Enhancing aerial human action recognition through GAN-boosted ResNeXt architecture with squeeze-and-excitation network |
| title_full_unstemmed | Enhancing aerial human action recognition through GAN-boosted ResNeXt architecture with squeeze-and-excitation network |
| title_short | Enhancing aerial human action recognition through GAN-boosted ResNeXt architecture with squeeze-and-excitation network |
| title_sort | enhancing aerial human action recognition through gan-boosted resnext architecture with squeeze-and-excitation network |
| topic | Big data and Data science Computer Science & IT Engineering & Technology |
| url | https://link.springer.com/article/10.1007/s41060-025-00962-1 |