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

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Title: Simulation and quantitative analysis of Raman spectra in chemical processes with autoencoders.
Authors: Wu, Min1, Di Caprio, Ulderico1, Van Der Ha, Olivier2, Metten, Bert2, De Clercq, Dries2, Elmaz, Furkan3, Mercelis, Siegfried3, Hellinckx, Peter4, Braeken, Leen1, Vermeire, Florence5, Leblebici, M. Enis1, muminenis.leblebici@kuleuven.be
Source: Chemometrics & Intelligent Laboratory Systems; May2024, Vol. 248, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 176586784
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Simulation and quantitative analysis of Raman spectra in chemical processes with autoencoders.
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  Data: <searchLink fieldCode="JN" term="%22Chemometrics+%26+Intelligent+Laboratory+Systems%22">Chemometrics & Intelligent Laboratory Systems</searchLink>; May2024, Vol. 248, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=176586784
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.chemolab.2024.105119
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      – Code: eng
        Text: English
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              M: 05
              Text: May2024
              Type: published
              Y: 2024
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              Value: 248
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