IDENTIFY UZBEK GESTURES USING ARTIFICIAL INTELLIGENCE
| dc.contributor.author | Lazizkhon Farkhadovich Nasirov | |
| dc.contributor.author | Farkhod Odilovich Nosirov | |
| dc.contributor.author | Madina Valisherovna Nosirova | |
| dc.date.accessioned | 2025-12-29T18:16:27Z | |
| dc.date.issued | 2024-10-31 | |
| dc.description.abstract | The article discusses Uzbek gesture recognition using artificial intelligence (AI) technology. It is aimed at analyzing existing methods in AI and developing effective solutions to improve communication among hearing-impaired people. | |
| dc.format | application/pdf | |
| dc.identifier.uri | https://webofjournals.com/index.php/4/article/view/2019 | |
| dc.identifier.uri | https://asianeducationindex.com/handle/123456789/25266 | |
| dc.language.iso | eng | |
| dc.publisher | Web of Journals Publishing | |
| dc.relation | https://webofjournals.com/index.php/4/article/view/2019/2004 | |
| dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0 | |
| dc.source | Web of Technology: Multidimensional Research Journal; Vol. 2 No. 10 (2024): WOT; 82-85 | |
| dc.source | 2938-3757 | |
| dc.subject | Artificial Intelligence, Uzbek Sign Language, Machine Learning, Convolutional Neural Networks, RNN, LSTM. | |
| dc.title | IDENTIFY UZBEK GESTURES USING ARTIFICIAL INTELLIGENCE | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type | Peer-reviewed Article |
item.page.files
item.page.filesection.original.bundle
pagination.showing.detail
loading.default
- item.page.filesection.name
- nasirov_2024_identify_uzbek_gestures_using_artificial.pdf
- item.page.filesection.size
- 381.36 KB
- item.page.filesection.format
- Adobe Portable Document Format