Deep learning methods for identification of animal behavioral patterns
dc.contributor.author | Roos, Emilia | |
dc.contributor.department | Chalmers tekniska högskola / Institutionen för elektroteknik | sv |
dc.contributor.examiner | Häggström, Ida | |
dc.date.accessioned | 2022-06-28T12:23:04Z | |
dc.date.available | 2022-06-28T12:23:04Z | |
dc.date.issued | 2022 | sv |
dc.date.submitted | 2020 | |
dc.identifier.coursecode | EENX30 | sv |
dc.identifier.uri | https://hdl.handle.net/20.500.12380/304925 | |
dc.language.iso | eng | sv |
dc.setspec.uppsok | Technology | |
dc.title | Deep learning methods for identification of animal behavioral patterns | sv |
dc.type.degree | Examensarbete för masterexamen | sv |
dc.type.uppsok | H | |
local.programme | Engineering mathematics and computational science (MPENM), MSc |
Ladda ner
Original bundle
1 - 1 av 1
Hämtar...
- Namn:
- Master_Thesis_Report_Emilia_Roos_final.pdf
- Storlek:
- 6.34 MB
- Format:
- Adobe Portable Document Format
- Beskrivning:
- Full text
License bundle
1 - 1 av 1
Hämtar...
- Namn:
- license.txt
- Storlek:
- 1.51 KB
- Format:
- Item-specific license agreed upon to submission
- Beskrivning: