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Successful use case applications of artificial intelligence in the steel industry

Contributo in Atti di convegno
Data di Pubblicazione:
2019
Abstract:
Availability of large amounts of data from connected processes and breakthrough innovations in computing tools create exciting opportunities for applications of Artificial Intelligence (AI) in Steel Industry. Data-driven predictive analytics and Machine Learning (ML) are already playing a significant role in shaping the Intelligent Plant of the future. Combining long-standing process expertise with a modern digital infrastructure, Danieli Automation has included AI as a strategic asset in DIGI&MET smart factory model. As illustrated through the paper, business benefits guaranteed from this model are already clear from the operational feedback of several real-life experiences from steelmaking to rolling and finishing lines.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Artificial intelligence; deep learning; machine vision; defects detection
Elenco autori:
Villagrossi, Enrico
Autori di Ateneo:
VILLAGROSSI ENRICO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/425644
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http://www.scopus.com/record/display.url?eid=2-s2.0-85071287875&origin=inward
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