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Identification and classification of oil and gas pipeline intru-sion events based on 1-D CNN network.

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Title: Identification and classification of oil and gas pipeline intru-sion events based on 1-D CNN network.
Authors: Qin, Han1 (AUTHOR), Huang, Xiaoli1 (AUTHOR) lylihuang@xhu.edu.cn, Wang, Xingcheng1 (AUTHOR), Zhou, Zhaoliang1 (AUTHOR)
Source: PLoS ONE. 12/23/2025, Vol. 20 Issue 12, p1-27. 27p.
Database: Academic Search Ultimate
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  Data: Identification and classification of oil and gas pipeline intru-sion events based on 1-D CNN network.
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  Data: <searchLink fieldCode="AR" term="%22Qin%2C+Han%22">Qin, Han</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Xiaoli%22">Huang, Xiaoli</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lylihuang@xhu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Xingcheng%22">Wang, Xingcheng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Zhaoliang%22">Zhou, Zhaoliang</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 12/23/2025, Vol. 20 Issue 12, p1-27. 27p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190442282
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        Value: 10.1371/journal.pone.0338205
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        Text: English
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              Text: 12/23/2025
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