Please use this identifier to cite or link to this item:
https://elib.vku.udn.vn/handle/123456789/7659Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Radhakrishnan, Delhibabu | - |
| dc.contributor.author | Pham, Tuan Anh | - |
| dc.contributor.author | Nataly, Zhukova | - |
| dc.contributor.author | Alexey, N. Subbotin | - |
| dc.date.accessioned | 2026-09-07T01:57:56Z | - |
| dc.date.available | 2026-09-07T01:57:56Z | - |
| dc.date.issued | 2025-07 | - |
| dc.identifier.uri | https://doi.org/10.3389/fcomp.2025.1526484 | - |
| dc.identifier.uri | https://elib.vku.udn.vn/handle/123456789/7659 | - |
| dc.description | Original Research Article; Vol. 7, 2025: pp: 1-20 | vi_VN |
| dc.description.abstract | There is a growing need for advanced systems to monitor patients in both hospital and home settings, but existing solutions are often costly and require specialized hardware. This article presents a method for building “Intellectual Rooms,” a cost-effective and intelligent environment based on Ambient Intelligence (AmI) and Internet of Things (IoT) technologies. The objective is to enhance patient care by using machine learning to process data from readily available devices. | vi_VN |
| dc.language.iso | en | vi_VN |
| dc.publisher | Frontiers in Computer Science | vi_VN |
| dc.subject | Intellectual Room | vi_VN |
| dc.subject | ambient intelligence | vi_VN |
| dc.subject | Internet of Things | vi_VN |
| dc.subject | image recognition | vi_VN |
| dc.subject | machine learning and health-care system | vi_VN |
| dc.title | Intellectual Rooms based on AmI and IoT technologies | vi_VN |
| dc.type | Working Paper | vi_VN |
| Appears in Collections: | NĂM 2025 | |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.