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Multivariate time series for data-driven endpoint prediction in the basic oxygen furnace

dc.contributor.authorSala, Davi Alberto
dc.contributor.authorJalalvand, Azarakhsh
dc.contributor.authorVan Yperen-De Deyne, A.
dc.contributor.authorMannens, Erik
dc.date.accessioned2021-10-26T03:07:42Z
dc.date.available2021-10-26T03:07:42Z
dc.date.issued2018
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/31711
dc.sourceIIOimport
dc.titleMultivariate time series for data-driven endpoint prediction in the basic oxygen furnace
dc.typeProceedings paper
dc.contributor.imecauthorSala, Davi Alberto
dc.contributor.imecauthorJalalvand, Azarakhsh
dc.contributor.imecauthorMannens, Erik
dc.contributor.orcidimecSala, Davi Alberto::0000-0001-5158-8850
dc.contributor.orcidimecMannens, Erik::0000-0001-7946-4884
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage1419
dc.source.endpage1426
dc.source.conferenceICMLA2018, 17th IEEE International Conference on Machine Learning and Applications
dc.source.conferencedate17/12/2018
dc.source.conferencelocationOrlando USA
dc.identifier.urlhttps://ieeexplore.ieee.org/document/8614256
imec.availabilityPublished - open access
imec.internalnotesISBN 978-1-5386-6805-4


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