Prediction of Sulfur in the Hot Metal based on Data Mining and Artificial Neural Networks (Englisch)
Freier Zugriff
- Neue Suche nach: Cardoso, Wandercleiton
- Neue Suche nach: Di Felice, Rendo
- Neue Suche nach: Cardoso, Wandercleiton
- Neue Suche nach: Di Felice, Rendo
In:
Proceedings of the 11th International Conference on Data Science, Technology and Applications (DATA 2022)
; 400-407
;
2022
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ISBN:
- Aufsatz (Konferenz) / Elektronische Ressource
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Titel:Prediction of Sulfur in the Hot Metal based on Data Mining and Artificial Neural Networks
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Beteiligte:Cardoso, Wandercleiton ( Autor:in ) / Di Felice, Rendo ( Autor:in )
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Kongress:International Conference on Data Science, Technology and Applications ; 11. ; 2022 ; Lissabon
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Erschienen in:
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Verlag:
- Neue Suche nach: SciTePress - Science and Technology Publications, Lda.
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Erscheinungsort:Setúbal
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Erscheinungsdatum:2022
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Anmerkungen:Langzeitarchivierung durch Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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ISBN:
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DOI:
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Medientyp:Aufsatz (Konferenz)
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Format:Elektronische Ressource
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Sprache:Englisch
- Neue Suche nach: 54.64 / 54.70 / 54.62
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