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Deep Learning with 3D ResNets for Comprehensive Dual-Lane Speed Climbing Video Analysis
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| Published in: | International Journal of Computer Science in Sport |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1867301672253915141 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | International Journal of Computer Science in Sport |
| description | |
| discipline_display | Computer Science |
| discipline_facet | Computer Science |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:78376 |
| institution | FRELIP |
| journal_source_facet | International Journal of Computer Science in Sport |
| publishDate | 2025 |
| publishDateSort | 2025 |
| record_format | rss_article |
| spellingShingle | Deep Learning with 3D ResNets for Comprehensive Dual-Lane Speed Climbing Video Analysis Computer Science General Computer Science |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Computer Science General Computer Science Computer Science General Computer Science |
| subject_facet | Computer Science General Computer Science |
| title | Deep Learning with 3D ResNets for Comprehensive Dual-Lane Speed Climbing Video Analysis |
| title_auth | Deep Learning with 3D ResNets for Comprehensive Dual-Lane Speed Climbing Video Analysis |
| title_full | Deep Learning with 3D ResNets for Comprehensive Dual-Lane Speed Climbing Video Analysis |
| title_fullStr | Deep Learning with 3D ResNets for Comprehensive Dual-Lane Speed Climbing Video Analysis |
| title_full_unstemmed | Deep Learning with 3D ResNets for Comprehensive Dual-Lane Speed Climbing Video Analysis |
| title_short | Deep Learning with 3D ResNets for Comprehensive Dual-Lane Speed Climbing Video Analysis |
| title_sort | deep learning with 3d resnets for comprehensive dual-lane speed climbing video analysis |
| topic | Computer Science General Computer Science |
| url | https://sciendo.com/article/10.2478/ijcss-2025-0002 |