Alvi, S. B., & Gottschling, J. [ca. 2023]. A methodology to support online monitoring and control of complex processes in the foundry industry using machine learning (Universität Duisburg-Essen) [Cd]. Universität Duisburg-Essen, Duisburg. https://doi.org/10.17185/duepublico/77522

ALVI, Saad Bashir und GOTTSCHLING, Johannes, 2023. A methodology to support online monitoring and control of complex processes in the foundry industry using machine learning. Duisburg: Universität Duisburg-Essen.

Alvi, S. B., und J. Gottschling. A methodology to support online monitoring and control of complex processes in the foundry industry using machine learning. cd, Universität Duisburg-Essen, 2023, https://doi.org/10.17185/duepublico/77522.

Alvi, S.B. und Gottschling, J. (2023), A methodology to support online monitoring and control of complex processes in the foundry industry using machine learning, Universität Duisburg-Essen, Duisburg, verfügbar unter:https://doi.org/10.17185/duepublico/77522.