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Published in 2025 at "IEEE Transactions on Industry Applications"
DOI: 10.1109/tia.2025.3535838
Abstract: The steel industry, characterized by complex and costly production processes, stands to gain significantly from the integration of intelligent systems for automation. This study details the development of a data-driven computer system, leveraging artificial neural…
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Keywords:
temperatures inside;
predicting temperatures;
inside steel;
neural networks ... See more keywords