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COGNIPLANT general media

ACHEMA 2022 – COGNIPLANT: An innovative vision of the digital twin

COGNIPLANT papers

A. Astarloa, T. Semm, I. Mancisidor, M.H. Fernandes, J. Ellinger, Z. Dombovari, J. Munoa, “Damping in ram based vertical lathes and portal machines”, CIRP Annals, 14 May 2022

Sabrina Luftensteiner, Michael Mayr, Georgios Chasparis, Mario Pichler, “A Versatile Usable Big Data Infrastructure for Process Industry”, Frontiers in Chemical Engineering, Computational Methods in Chemical Engineering, 16 June 2021

Sabrina Luftensteiner, Michael Mayr, Georgios Chasparis, “Filter-Based Feature Selection Methods for Industrial Sensor Data: A Review”, International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2021, pp. 242-249.

Michael Mayr, Sabrina Luftensteiner, Georgios Chasparis “Abstracting Process Mining Event Logs from Process-State Data to Monitor Control-Flow of Industrial Manufacturing Processes”, 3rd International Conference on Industry 4.0 and Smart Manufacturing, 2021.

Georgios Chasparis, Sabrina Luftensteiner, Michael Mayr, “Generalized Input-Output Hidden-Markov-Models for Supervising Industrial Processes,” 3rd International Conference on Industry 4.0 and Smart Manufacturing, 2021. (accepted for publication and presentation)

Sabrina Luftensteinera, Georgios C. Chasparisa, Michael Mayra, “Gathering Expert Knowledge in Process Industry”, 4th International Conference on Industry 4.0 and Smart Manufacturing, Procedia Computer Science 00 (2022) 000–000
www, 2022

Ellinger, J.; Beck, L.; Benker, M.; Hartl, R.; Zaeh, M.F, “Automation of Experimental Modal Analysis Using Bayesian Optimization”, Applied Sciences, MDPI, 2023

Luftensteiner, Sabrina and Chasparis, Georgios C. and Kung, Josef, Data Preprocessing and Expert Knowledge Integration for Feature Selection in Process Industry. Available at SSRN: https://ssrn.com/abstract=4552873

A. V. Kychkin, G. C. Chasparis, S. Ellero, “Automated Cross Channel Temperature Predictions for the PFR Lime Kiln Operating Support”, Mediterranean Conference on Control and Automation, MED 2023, IEEE, 2023