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Research on Prediction of Coagulant Dosage in Water Plants Based on Temporal Feature-Enhanced XGBoost

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Τίτλος: Research on Prediction of Coagulant Dosage in Water Plants Based on Temporal Feature-Enhanced XGBoost
Συγγραφείς: Fang, Jun, Huang, Bingfang, Meng, Wei, Yan, Xingru
Πηγή: 2026 2nd International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE) Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE), 2026 2nd International Conference on. :1-7 Aug, 2026
Relation: 2026 2nd International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE)
Βάση Δεδομένων: IEEE Xplore Digital Library
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DbLabel: IEEE Xplore Digital Library
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PubType: Conference
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  Data: Research on Prediction of Coagulant Dosage in Water Plants Based on Temporal Feature-Enhanced XGBoost
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/AIKIIE69997.2026.11708011
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        PageCount: 7
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      – TitleFull: Research on Prediction of Coagulant Dosage in Water Plants Based on Temporal Feature-Enhanced XGBoost
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            NameFull: Fang, Jun
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            NameFull: Huang, Bingfang
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            NameFull: Meng, Wei
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            NameFull: Yan, Xingru
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          Dates:
            – D: 07
              M: 08
              Type: published
              Y: 2026
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