Please use this identifier to cite or link to this item:
http://archives.univ-biskra.dz/handle/123456789/32740Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | CHAIMA_HEBBACHE_YAMINA_RAHMOUNE | - |
| dc.date.accessioned | 2026-02-09T14:09:43Z | - |
| dc.date.available | 2026-02-09T14:09:43Z | - |
| dc.date.issued | 2025-06-20 | - |
| dc.identifier.uri | http://archives.univ-biskra.dz/handle/123456789/32740 | - |
| dc.language.iso | en | en_US |
| dc.title | Deep Learning for Background Subtraction: Benchmarking FgSegNet Variants and MFCN on LASIESTA Dataset | en_US |
| dc.title.alternative | الكتروتقني | en_US |
| dc.type | Master | en_US |
| Appears in Collections: | Faculté des Sciences et de la technologie (FST) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| CHAIMA_HEBBACHE_YAMINA_RAHMOUNE.pdf | 6,64 MB | Adobe PDF | View/Open |
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