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Characterization of variability of air particulate matter size profiles recorded by optical particle counters near a complex emissive source by use of Self-Organizing Map algorithm.

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Title: Characterization of variability of air particulate matter size profiles recorded by optical particle counters near a complex emissive source by use of Self-Organizing Map algorithm.
Authors: Licen, S.1, slicen@units.it, Cozzutto, S.2, cozzutto@arcosolutions.eu, Barbieri, G.2, gbarbieri@arcosolutions.eu, Crosera, M.1, mcrosera@units.it, Adami, G.1, gadami@units.it, Barbieri, P.1, barbierp@units.it
Source: Chemometrics & Intelligent Laboratory Systems; Jul2019, Vol. 190, p48-54, 7p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 136935976
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Characterization of variability of air particulate matter size profiles recorded by optical particle counters near a complex emissive source by use of Self-Organizing Map algorithm.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=136935976
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.chemolab.2019.05.008
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 48
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      – TitleFull: Characterization of variability of air particulate matter size profiles recorded by optical particle counters near a complex emissive source by use of Self-Organizing Map algorithm.
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            NameFull: Licen, S.
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            NameFull: Adami, G.
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            – D: 15
              M: 07
              Text: Jul2019
              Type: published
              Y: 2019
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              Value: 190
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