A transformer-based model for effective and exportable IoMT-based stress detection
| dc.contributor.author | Alshareef, MS | en_US |
| dc.contributor.author | Alturki, B | en_US |
| dc.contributor.author | Jaber, M | en_US |
| dc.date.accessioned | 2023-05-30T08:58:47Z | |
| dc.date.available | 2022-08-02 | en_US |
| dc.date.issued | 2022 | en_US |
| dc.identifier.issn | 2334-0983 | en_US |
| dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/88503 | |
| dc.format.extent | 1158 - 1163 | en_US |
| dc.subject | IoT | en_US |
| dc.subject | IoMT | en_US |
| dc.subject | Deep Learning | en_US |
| dc.subject | LOSO | en_US |
| dc.subject | Affective computing | en_US |
| dc.subject | Stress detection | en_US |
| dc.subject | Multimodal dataset | en_US |
| dc.subject | Transformer | en_US |
| dc.title | A transformer-based model for effective and exportable IoMT-based stress detection | en_US |
| dc.type | Conference Proceeding | |
| dc.identifier.doi | 10.1109/GLOBECOM48099.2022.10001083 | en_US |
| pubs.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000922633501031&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Published | en_US |
