A lightweight attention-based multi-frequency topology learning framework for driving fatigue detection
| dc.contributor.author | Lv, Dong-Mei | |
| dc.contributor.author | Dang, Wei-Dong | |
| dc.contributor.author | Xia, LiLi | |
| dc.contributor.author | Gao, Zhong-Ke | |
| dc.contributor.author | Grebogi, Celso | |
| dc.contributor.institution | University of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB) | en |
| dc.contributor.institution | University of Aberdeen.Physics | en |
| dc.date.accessioned | 2025-03-17T14:31:01Z | |
| dc.date.available | 2025-03-17T14:31:01Z | |
| dc.date.issued | 2024-08-22 | |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 6 | |
| dc.format.extent | 3174410 | |
| dc.format.extent | 572423 | |
| dc.identifier | 291049881 | |
| dc.identifier | 7a6a76ea-d311-404e-8474-ce1d491deb57 | |
| dc.identifier | 85201902265 | |
| dc.identifier.citation | Lv, D-M, Dang, W-D, Xia, L, Gao, Z-K & Grebogi, C 2024, 'A lightweight attention-based multi-frequency topology learning framework for driving fatigue detection', EPL, vol. 147, no. 4, 41001. https://doi.org/10.1209/0295-5075/ad602f | en |
| dc.identifier.doi | 10.1209/0295-5075/ad602f | |
| dc.identifier.iss | 4 | en |
| dc.identifier.issn | 0295-5075 | |
| dc.identifier.other | crossref: 10.1209/0295-5075/ad602f | |
| dc.identifier.other | ORCID: /0000-0002-9811-4617/work/180268657 | |
| dc.identifier.uri | https://hdl.handle.net/2164/25152 | |
| dc.identifier.vol | 147 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | EPL | en |
| dc.subject | SDG 3 - Good Health and Well-being | en |
| dc.subject | QC Physics | en |
| dc.subject | Supplementary Data | en |
| dc.subject | DAS | en |
| dc.subject.lcc | QC | en |
| dc.title | A lightweight attention-based multi-frequency topology learning framework for driving fatigue detection | en |
| dc.type | Journal article | en |
