Development of Artificial Intelligence and Machine Learning for Online Perception and Operating Mode Optimization in Process Industry

Linnosmaa, Joonas (Manager)
Seppi, Mikko (Participant)
Zeb, Akhtar (Participant)
Saarela, Olli (Participant)
Verma, Nikhil (Participant)
Freimane, Liva (Participant)
Aho, Jukka (Participant)
Tahkola, Mikko (Participant)

BA5503 ProperTune AI

Project: Business Finland project

3 Conference article in proceedings
3 Conference Poster
2 Article
1 Report
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- 1 Master's thesis

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2025
Dynamic process optimization using data-driven surrogate models: Application to mineral processing
Zeb, A., Linnosmaa, J., Seppi, M., Verma, N. & Freimane, L., 13 Nov 2025.
Research output: Contribution to conference › Conference Poster › Professional

Open Access
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Real-time forecasting with deep learning surrogates in minerals processing
Seppi, M., Linnosmaa, J., Zeb, A., Verma, N. & Freimane, L., 13 Nov 2025, p. 1.
Research output: Contribution to conference › Conference Poster › Professional

Open Access
File
14 Downloads (Pure)
2024
Multivariate multistep forecasting surrogates for process control and optimisation using digital twins
Linnosmaa, J., Zeb, A., Seppi, M. & Verma, N., 21 Oct 2024.
Research output: Contribution to conference › Conference Poster › Scientific

Open Access
File
61 Downloads (Pure)