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COGNIPLANT
  • Home
  • Partners
  • Public documents
    • Dissemination materials and Open access papers
    • Public Deliverables
  • Events
  • News
    • Subscribe to our Newsletter!
  • Versatile Usable Big Data Infrastructure and its Monitoring Approaches for Process Industry

© 2019

Dissemination materials and Open access papers

COGNIPLANT leaflet_2019 Download
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COGNIPLANT Newsletters
COGNIPLANT 1st Newsletter
COGNIPLANT 2nd Newsletter
COGNIPLANT 3rd Newsletter
COGNIPLANT Special Issue

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)

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