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Introduction of Deep Neural Network in Hybrid WCET Analysis

dc.contributor.authorHuybrechts, Thomas
dc.contributor.authorCassimon, Thomas
dc.contributor.authorMercelis, Siegfried
dc.contributor.authorHellinckx, Peter
dc.date.accessioned2021-10-25T20:03:56Z
dc.date.available2021-10-25T20:03:56Z
dc.date.issued2018
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/30924
dc.sourceIIOimport
dc.titleIntroduction of Deep Neural Network in Hybrid WCET Analysis
dc.typeProceedings paper
dc.contributor.imecauthorHuybrechts, Thomas
dc.contributor.imecauthorCassimon, Thomas
dc.contributor.imecauthorMercelis, Siegfried
dc.contributor.imecauthorHellinckx, Peter
dc.contributor.orcidimecHuybrechts, Thomas::0000-0002-5611-6331
dc.contributor.orcidimecCassimon, Thomas::0000-0002-7471-2508
dc.contributor.orcidimecMercelis, Siegfried::0000-0001-9355-6566
dc.source.peerreviewyes
dc.source.beginpage415
dc.source.endpage425
dc.source.conferenceInternational Conference on P2P, Parallel, Grid, Cloud and Internet Computing - 3PGCIC 2018
dc.source.conferencedate27/10/2018
dc.source.conferencelocationTaichung Taiwan
dc.identifier.urlhttps://www.springer.com/gp/book/9783030026066
imec.availabilityPublished - imec
imec.internalnotesLecture Notes on Data Engineering and Communications Technologies book series; Vol. LNDECT 24


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