"Prediction of Sulfur in the Hot Metal based on Data Mining and Artificial ..."

Wandercleiton Cardoso, Renzo di Felice (2022)

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DOI: 10.5220/0011276700003269

access: closed

type: Conference or Workshop Paper

metadata version: 2022-08-03