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Prediction of Red Tide Occurrence Using Integrated Machine-Learning Algorithms—A Case in Hong Kong Coastal Waters.

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Title: Prediction of Red Tide Occurrence Using Integrated Machine-Learning Algorithms—A Case in Hong Kong Coastal Waters.
Authors: Yao, Lifen1,2,3 (AUTHOR), Zhu, Lei2,3 (AUTHOR), Song, Zeda2,3,4 (AUTHOR), Wu, Yuxuan2,4 (AUTHOR), Wang, Xi1,2,4 (AUTHOR), Dong, Jiao2 (AUTHOR), Kang, Yulin2,3 (AUTHOR)
Source: Water (20734441). Feb2026, Vol. 18 Issue 3, p374. 13p.
Database: Environment Complete
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DbLabel: Environment Complete
An: 191587549
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PubType: Academic Journal
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  Data: Prediction of Red Tide Occurrence Using Integrated Machine-Learning Algorithms—A Case in Hong Kong Coastal Waters.
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  Data: <searchLink fieldCode="JN" term="%22Water+%2820734441%29%22">Water (20734441)</searchLink>. Feb2026, Vol. 18 Issue 3, p374. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=191587549
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      – Type: doi
        Value: 10.3390/w18030374
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      – Code: eng
        Text: English
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        StartPage: 374
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      – TitleFull: Prediction of Red Tide Occurrence Using Integrated Machine-Learning Algorithms—A Case in Hong Kong Coastal Waters.
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              Text: Feb2026
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              Y: 2026
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