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"Data Mining and Machine Learning to Predict the Sulphur Content in the Hot ..."

Wandercleiton Cardoso, Renzo di Felice (2022)

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DOI: 10.1007/978-3-031-37890-4_10

access: closed

type: Conference or Workshop Paper

metadata version: 2023-09-14

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Wandercleiton Cardoso, Renzo di Felice:
Data Mining and Machine Learning to Predict the Sulphur Content in the Hot Metal of a Coke-Fired Blast Furnace. DATA (Revised Selected Papers) 2022: 203-218

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