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Using Deep Learning Models to Predict the Electrical Conductivity of the Influent in a Wastewater Treatment Plant

AuthID
P-00Z-NQ2

Author(s)

Pereira, J

Oliveira, P

Duarte, MS

Martins, G

Novais, P

Editor(es)

Quaresma,P;Camacho,D;Yin,H;Gonçalves,T;Julián,V;Tallón Ballesteros,AJ

Tipo de Documento

Proceedings Paper

Year published

2023

Publicado

in Intelligent Data Engineering and Automated Learning - IDEAL 2023 - 24th International Conference, Évora, Portugal, November 22-24, 2023, Proceedings in Lecture Notes in Computer Science

Volume: 14404, Páginas: 130-141

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Dblp^®/pt/publications/view/1038050

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Publication Identifiers

DBLP: conf/ideal/PereiraODMN23

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Using Deep Learning Models to Predict the Electrical Conductivity of the Influent in a Wastewater Treatment Plant

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Using Deep Learning Models to Predict the Electrical Conductivity of the Influent in a Wastewater Treatment Plant

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