Unsupervised Learning-Based Anomaly Detection for Bridge Structural Health Monitoring: Identifying Deviations from Normal Structural Behaviour.
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| Title: | Unsupervised Learning-Based Anomaly Detection for Bridge Structural Health Monitoring: Identifying Deviations from Normal Structural Behaviour. |
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| Authors: | Nesackon Abraham J; University of Minho, ISISE, ARISE, Department of Civil Engineering, 4800-058 Guimarães, Portugal., Tran MQ; University of Minho, ISISE, ARISE, Department of Civil Engineering, 4800-058 Guimarães, Portugal., Jayaraj JS; Department of Information Systems, University of Minho, 4800-058 Guimarães, Portugal., Matos JC; University of Minho, ISISE, ARISE, Department of Civil Engineering, 4800-058 Guimarães, Portugal., Valluzzi MR; Department of Cultural Heritage, University of Padova, Piazza Capitaniato 7, 35139 Padova, Italy., Dang SN; University of Minho, ISISE, ARISE, Department of Civil Engineering, 4800-058 Guimarães, Portugal. |
| Source: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Jan 14; Vol. 26 (2). Date of Electronic Publication: 2026 Jan 14. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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