| DC Field | Value | Language |
|---|
| dc.contributor.author | Yang Zixiao | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2023-10-19T12:14:52Z | - |
| dc.date.available | 2023-10-19T12:14:52Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | Yang Zixiao. Deep learning framework for activity recognition based on smartphone accleration data, convolutional neural network and long short time memory : автореф. дисс. ... магистра технических наук : 1-45 80 01 / Yang Zixiao; науч. рук. I. Boriskevich. – Минск : БГУИР, 2023. – 8 с. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/53311 | - |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | авторефераты диссертаций | en_US |
| dc.subject | технические науки | en_US |
| dc.subject | confusion matrix | en_US |
| dc.subject | accelerometer sensor | en_US |
| dc.title | Deep learning framework for activity recognition based on smartphone accleration data, convolutional neural network and long short time memory | en_US |
| dc.type | Thesis | en_US |
| Appears in Collections: | 1-45 80 01 Системы и сети инфокоммуникаций
|
