Development of a Self-Updating System for the Prediction of Steel Mechanical Properties in a Steel Company by Machine Learning Procedures

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Dades bibliogràfiques
Publicat a:	Technologies vol. 13, no. 2 (2025), p. 75
Autor principal:	Zippo, Valerio
Altres autors:	Robotti, Elisa, Maestri, Daniele, Fossati, Pietro, Valenza, David, Maggi, Stefano, Papallo, Gennaro, Masho Hilawie Belay, Cerruti, Simone, Porcu, Giorgio, Marengo, Emilio
Publicat:	MDPI AG
Matèries:	Italy Mechanical properties Cold Accuracy Datasets Optimization techniques Iron compounds Workflow Polynomials Steel production Steel industry Raw materials Manufacturing Machine learning Statistical analysis Hot rolling Energy consumption Efficiency Data analysis Tensile strength Product quality Sustainable development Corporate learning Carbon Temperature Iron and steel industry Process controls Ductility Statistical methods Algorithms Cost control Process parameters
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