Publication:
A semi-supervised anomaly detection approach for detecting mechanical failures
| cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.orcid | 0000-0002-2035-3466 | |
| cris.virtual.orcid | 0000-0002-7865-6793 | |
| cris.virtual.orcid | 0000-0001-7124-692X | |
| cris.virtualsource.department | 202a8c63-48c1-4f33-bb98-ff1d1e8f835c | |
| cris.virtualsource.department | 43fd6f27-126a-4a10-8c2e-2c15e86e4898 | |
| cris.virtualsource.department | 27de9bdb-933c-45ba-b02b-60ba3775db06 | |
| cris.virtualsource.orcid | 202a8c63-48c1-4f33-bb98-ff1d1e8f835c | |
| cris.virtualsource.orcid | 43fd6f27-126a-4a10-8c2e-2c15e86e4898 | |
| cris.virtualsource.orcid | 27de9bdb-933c-45ba-b02b-60ba3775db06 | |
| dc.contributor.author | Soete, Colin | |
| dc.contributor.author | Rademaker, Michael | |
| dc.contributor.author | Van Hoecke, Sofie | |
| dc.contributor.imecauthor | Soete, Colin | |
| dc.contributor.imecauthor | Rademaker, Michael | |
| dc.contributor.imecauthor | Van Hoecke, Sofie | |
| dc.contributor.orcidimec | Soete, Colin::0000-0002-2035-3466 | |
| dc.contributor.orcidimec | Rademaker, Michael::0000-0001-7124-692X | |
| dc.contributor.orcidimec | Van Hoecke, Sofie::0000-0002-7865-6793 | |
| dc.date.accessioned | 2024-11-22T11:02:03Z | |
| dc.date.available | 2024-11-21T16:53:53Z | |
| dc.date.available | 2024-11-22T11:02:03Z | |
| dc.date.issued | 2024 | |
| dc.identifier.doi | 10.1017/S0890060424000131 | |
| dc.identifier.issn | 0890-0604 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/44814 | |
| dc.publisher | CAMBRIDGE UNIV PRESS | |
| dc.source.beginpage | e16 | |
| dc.source.endpage | 12 | |
| dc.source.issue | / | |
| dc.source.journal | AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING | |
| dc.source.numberofpages | 12 | |
| dc.source.volume | 38 | |
| dc.title | A semi-supervised anomaly detection approach for detecting mechanical failures | |
| dc.type | Journal article | |
| dspace.entity.type | Publication | |
| Files | Original bundle
| |
| Publication available in collections: |