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Flame monitoring and anomaly detection in steel reheating furnaces based on thermal video using a hybrid AI computer vision system

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cris.virtual.orcid0000-0003-1094-2184
cris.virtual.orcid0000-0002-7865-6793
cris.virtual.orcid0000-0002-6732-6502
cris.virtualsource.departmentea3f2e62-e271-4a8d-8820-58ca83be4023
cris.virtualsource.department43fd6f27-126a-4a10-8c2e-2c15e86e4898
cris.virtualsource.departmenta609a87b-a7cd-4b74-b685-e2498badaf41
cris.virtualsource.orcidea3f2e62-e271-4a8d-8820-58ca83be4023
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cris.virtualsource.orcida609a87b-a7cd-4b74-b685-e2498badaf41
dc.contributor.authorVanhaeverbeke, Jelle
dc.contributor.authorVerstockt, Steven
dc.contributor.authorVan Hoecke, Sofie
dc.contributor.imecauthorVanhaeverbeke, Jelle
dc.contributor.imecauthorVerstockt, Steven
dc.contributor.imecauthorVan Hoecke, Sofie
dc.contributor.orcidimecVanhaeverbeke, Jelle::0000-0002-6732-6502
dc.contributor.orcidimecVerstockt, Steven::0000-0003-1094-2184
dc.contributor.orcidimecVan Hoecke, Sofie::0000-0002-7865-6793
dc.date.accessioned2025-09-07T04:00:24Z
dc.date.available2025-09-07T04:00:24Z
dc.date.issued2025-AUG 25
dc.description.wosFundingTextThis research was funded by Flanders Innovation & Entrepreneurship (VLAIO) grant number HBC.2017.1002.
dc.identifier.doi10.1038/s41598-025-16276-y
dc.identifier.issn2045-2322
dc.identifier.pmidMEDLINE:40855165
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/46156
dc.publisherNATURE PORTFOLIO
dc.source.issue1
dc.source.journalSCIENTIFIC REPORTS
dc.source.numberofpages16
dc.source.volume15
dc.title

Flame monitoring and anomaly detection in steel reheating furnaces based on thermal video using a hybrid AI computer vision system

dc.typeJournal article
dspace.entity.typePublication
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