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

1 Conference Poster
1 Article

2 results

2024
Developing deep learning surrogate models for digital twins in mineral processing – A case study on data-driven multivariate multistep forecasting
Zeb, A., Linnosmaa, J., Seppi, M. & Saarela, O., 15 Sept 2024, In: Minerals Engineering. 216, 108867.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
7 Citations (Scopus)

98 Downloads (Pure)
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
20 Downloads (Pure)