Physics-informed machine learning surrogate models: Enhancing data-driven forecasting for digital twins in mineral processing

Mikko Seppi^*
, Joonas Linnosmaa
, Akhtar Zeb

^*Corresponding author for this work

BA5503 ProperTune AI

Research output: Contribution to journal › Article › Scientific › peer-review

7 Citations (Scopus)

469 Downloads (Pure)

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Finished

AIMODE: Development of Artificial Intelligence and Machine Learning for Online Perception and Operating Mode Optimization in Process Industry
Linnosmaa, J. (Manager), Seppi, M. (Participant), Zeb, A. (Participant), Saarela, O. (Participant), Verma, N. (Participant), Freimane, L. (Participant), Aho, J. (Participant) & Tahkola, M. (Participant)
1/09/22 → 31/08/25
Project: Business Finland project