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Simulation and quantitative analysis of Raman spectra in chemical processes with autoencoders

 
dc.contributor.authorWu, Min
dc.contributor.authorDi Caprio, Ulderico
dc.contributor.authorVan der Ha, Olivier
dc.contributor.authorMetten, Bert
dc.contributor.authorDe Clercq, Dries
dc.contributor.authorElmaz, Furkan
dc.contributor.authorMercelis, Siegfried
dc.contributor.authorHellinckx, Peter
dc.contributor.authorBraeken, Leen
dc.contributor.authorVermeire, Florence
dc.contributor.authorLeblebici, M. Enis
dc.contributor.imecauthorElmaz, Furkan
dc.contributor.imecauthorMercelis, Siegfried
dc.contributor.orcidimecElmaz, Furkan::0000-0002-7030-0784
dc.contributor.orcidimecMercelis, Siegfried::0000-0001-9355-6566
dc.date.accessioned2025-08-21T07:20:27Z
dc.date.available2024-05-12T18:21:11Z
dc.date.available2025-08-21T07:20:27Z
dc.date.issued2024
dc.description.wosFundingTextThis work was supported by the funding from VLAIO, DAP 2 CHEM: Real-time data-assisted process development and production in chemical applications (HBC.2020.2455) .
dc.identifier.doi10.1016/j.chemolab.2024.105119
dc.identifier.issn0169-7439
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43930
dc.publisherELSEVIER
dc.source.beginpageArt. 105119
dc.source.endpageN/A
dc.source.issue15 May
dc.source.journalCHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
dc.source.numberofpages10
dc.source.volume248
dc.subject.keywordsNEURAL-NETWORKS
dc.subject.keywordsSPECTROSCOPY
dc.title

Simulation and quantitative analysis of Raman spectra in chemical processes with autoencoders

dc.typeJournal article
dspace.entity.typePublication
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