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A deep neural network and AIS-integrated method for ship trajectory prediction and yaw warning in cross-river power transmission line protection.

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Title: A deep neural network and AIS-integrated method for ship trajectory prediction and yaw warning in cross-river power transmission line protection.
Authors: Rui, Yang1 (AUTHOR), Zhaofeng, Liang1 (AUTHOR) liang_zhaofeng818@163.com, Xunyun, Liang1 (AUTHOR), Zehuai, Liu1 (AUTHOR)
Source: PLoS ONE. 6/9/2026, Vol. 21 Issue 6, p1-27. 27p.
Database: Academic Search Ultimate
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An: 194430671
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  Data: A deep neural network and AIS-integrated method for ship trajectory prediction and yaw warning in cross-river power transmission line protection.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 6/9/2026, Vol. 21 Issue 6, p1-27. 27p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194430671
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1371/journal.pone.0350221
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      – Code: eng
        Text: English
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        PageCount: 27
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      – TitleFull: A deep neural network and AIS-integrated method for ship trajectory prediction and yaw warning in cross-river power transmission line protection.
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            NameFull: Rui, Yang
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            NameFull: Zhaofeng, Liang
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              Text: 6/9/2026
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              Y: 2026
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              Value: 21
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