Research output per year
Research output per year
Search results
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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 AccessFile3 Citations (Scopus)22 Downloads (Pure) -
2022
A Novel Machine Learning-Based Approach for Induction Machine Fault Classifier Development—A Broken Rotor Bar Case Study
Tahkola, M., Szücs, Á., Halme, J., Zeb, A. & Keränen, J., 2 May 2022, In: Energies. 15, 9, 23 p., 3317.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile6 Citations (Scopus)57 Downloads (Pure) -
On the alleviation of imminent technical and business challenges of long-lasting functional digital twins
Zeb, A., Kortelainen, J., Rantala, T., Saunila, M. & Ukko, J., 1 Oct 2022, In: Computers in Industry. 141, 103701.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile5 Citations (Scopus)94 Downloads (Pure) -
Physics-Based Digital Twins Merging With Machines: Cases of Mobile Log Crane and Rotating Machine
Kurvinen, E., Kutvonen, A., Ukko, J., Khadim, Q., Hagh, Y. S., Jaiswal, S., Neisi, N., Zhidchenko, V., Kortelainen, J., Timperi, M., Kokkonen, K., Virtanen, J., Zeb, A., Lämsä, V., Nieminen, V., Junttila, J., Savolainen, M., Rantala, T., Valjakka, T. & Donoghue, I. & 12 others, , 25 Apr 2022, In: IEEE Access. 10, p. 45962-45978 17 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access17 Citations (Scopus) -
2021
Data harmonisation as a key to enable digitalisation of the food sector: A review
Zeb, A., Soininen, J.-P. & Sözer, N., 2021, In: Food and Bioproducts Processing. 127, p. 360-370Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile120 Downloads (Pure)