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Multi-factor influence-based ship trajectory prediction analysis via deep learning.

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Title: Multi-factor influence-based ship trajectory prediction analysis via deep learning.
Authors: Jiao, Hang1 (AUTHOR), Li, Huanhuan2 (AUTHOR) H.Li2@ljmu.ac.uk, Lam, Jasmine Siu Lee3 (AUTHOR), Gao, Xiaowei4 (AUTHOR), Yang, Zaili2 (AUTHOR) Z.Yang@ljmu.ac.uk
Source: Journal of Marine Engineering & Technology. Jul2026, Vol. 25 Issue 3, p296-314. 19p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Marine+Engineering+%26+Technology%22">Journal of Marine Engineering & Technology</searchLink>. Jul2026, Vol. 25 Issue 3, p296-314. 19p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194898100
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        Value: 10.1080/20464177.2025.2498815
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 296
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      – TitleFull: Multi-factor influence-based ship trajectory prediction analysis via deep learning.
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            NameFull: Jiao, Hang
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            NameFull: Li, Huanhuan
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            NameFull: Lam, Jasmine Siu Lee
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            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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