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Bidirectional sparse principal component analysis for process monitoring.

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Title: Bidirectional sparse principal component analysis for process monitoring.
Authors: Lv, Jinziyuan1,2, Wang, Jing1, Lou, Zhijiang2, louzhijiang@szpu.edu.cn, Jin, Xin3, Lu, Shan2, Lan, Yungang4
Source: Canadian Journal of Chemical Engineering; May2026, Vol. 104 Issue 5, p2515-2530, 16p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192850050
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Bidirectional sparse principal component analysis for process monitoring.
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  Data: <searchLink fieldCode="AU" term="%22Lv%2C+Jinziyuan%22">Lv, Jinziyuan</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Jing%22">Wang, Jing</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Lou%2C+Zhijiang%22">Lou, Zhijiang</searchLink><relatesTo>2</relatesTo>, <i>louzhijiang@szpu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Jin%2C+Xin%22">Jin, Xin</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Lu%2C+Shan%22">Lu, Shan</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Lan%2C+Yungang%22">Lan, Yungang</searchLink><relatesTo>4</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Canadian+Journal+of+Chemical+Engineering%22">Canadian Journal of Chemical Engineering</searchLink>; May2026, Vol. 104 Issue 5, p2515-2530, 16p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192850050
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      – Type: doi
        Value: 10.1002/cjce.70163
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 2515
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      – TitleFull: Bidirectional sparse principal component analysis for process monitoring.
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            NameFull: Lv, Jinziyuan
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            NameFull: Wang, Jing
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            NameFull: Lou, Zhijiang
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            NameFull: Jin, Xin
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            NameFull: Lu, Shan
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 104
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