Please use this identifier to cite or link to this item:
https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4696
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kamalsooriya, D. N. | - |
dc.date.accessioned | 2023-06-22T06:26:29Z | - |
dc.date.available | 2023-06-22T06:26:29Z | - |
dc.date.issued | 2023-06-22 | - |
dc.identifier.uri | https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4696 | - |
dc.description.abstract | Abstract not available in PDF | en_US |
dc.language.iso | en_US | en_US |
dc.title | Leveraging Acoustic Voice Characteristics for Face Recognition during the COVID-19 Pandemic | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | 2022 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2019 BA 011.pdf | 1.61 MB | Adobe PDF | View/Open |
Items in UCSC Digital Library are protected by copyright, with all rights reserved, unless otherwise indicated.