STGAD: Self-temporal generative adversarial framework with transformer attention for unsupervised multivariate time-series anomaly detection and localization.
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| Title: | STGAD: Self-temporal generative adversarial framework with transformer attention for unsupervised multivariate time-series anomaly detection and localization. |
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| Authors: | Liao X; State Grid Information and Telecommunication Group Co., Ltd., Beijing, China., Deng W; State Grid Information and Telecommunication Group Co., Ltd., Beijing, China., Ma H; State Grid Information and Telecommunication Group Co., Ltd., Beijing, China., Mu Y; School of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an, China. |
| Source: | PloS one [PLoS One] 2026 May 21; Vol. 21 (5), pp. e0349223. Date of Electronic Publication: 2026 May 21 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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