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COGNITIVE PLATFORM TO ENHANCE 360º PERFORMANCE AND SUSTAINABILITY OF THE EUROPEAN PROCESS INDUSTRY

Risultati finali

Dissemination and Communication Plan

Dissemination and Communication Plan Developed by STAM with contributions from the whole consortium, this document will describe the means and objectives of the COGNIPLANT dissemination.

1st Report on Dissemination Communication Activities for 1st period

1st Report on Dissemination Communication Activities for 1st period Developed by STAM with contributions from the whole consortium this deliverable will collect and describe all the dissemination activities performed in the first 18 months of the project

Branding, website and social media channels

Branding, website and social media channels Developed by STAM with contributions from the whole consortium, this document will describe the development of the logo, the development of the website, the planning for the website and social channels’ update, as well as deliverable and presentation’ templates, tentative project poster and leaflet and a timeline of the envisaged project dissemination activities.

Pubblicazioni

Filter-Based Feature Selection Methods for Industrial Sensor Data: A Review

Autori: Sabrina Luftensteiner, Michael Mayr, Georgios Chasparis
Pubblicato in: International Conference on Big Data Analytics and Knowledge Discovery, Issue Computer Science vol 12925., 2021, Page(s) pp 242–249, ISBN 978-3-030-86534-4
Editore: DaWaK 2021
DOI: 10.1007/978-3-030-86534-4_23

Generalized Input-Output Hidden-Markov-Models for Supervising Industrial Processes

Autori: Georgios Chasparis, Sabrina Luftensteiner, Michael Mayr
Pubblicato in: 3rd International Conference on Industry 4.0 and Smart Manufacturing, 2022, Issue """Procedia Computer Science Volume 200, 2022""", 2022, Page(s) Pages 1402-1411, ISSN 1877-0509
Editore: Elsevier
DOI: 10.1016/j.procs.2022.01.341

Abstracting Process Mining Event Logs From Process-State Data To Monitor Control-Flow Of Industrial Manufacturing Processes

Autori: Michael Mayr, Sabrina Luftensteiner, Georgios Chasparis
Pubblicato in: 3rd International Conference on Industry 4.0 and Smart Manufacturing, 2021, Issue """Procedia Computer Science Volume 200, 2022""", 2022, Page(s) Pages 1442-1450, ISSN 1877-0509
Editore: Elsevier
DOI: 10.1016/j.procs.2022.01.345

Automation of Experimental Modal Analysis Using Bayesian Optimization

Autori: Johannes Ellinger; Leopold Beck; Maximilian Benker; Roman Hartl; Michael F. Zaeh
Pubblicato in: Applied Sciences; Volume 13; Issue 2; Pages: 949, Issue 1, 2022, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app13020949

Damping in ram based vertical lathes and portal machines

Autori: A. Astarloa, T. Semm, I. Mancisidor, M.H. Fernandes, J. Ellinger, Z. Dombovari, J. Munoa
Pubblicato in: CIRP Annuals, Issue Manufacturing technology 2022, 2022, ISSN 0007-8506
Editore: Hallwag AG
DOI: 10.1016/j.cirp.2022.04.039

A Versatile Usable Big Data Infrastructure for Process Industry

Autori: Sabrina Luftensteiner, Michael Mayr, Georgios Chasparis, Mario Pichler
Pubblicato in: Frontiers in Chemical Engineering, Computational Methods in Chemical Engineering, Issue June 2021 | Volume 3 | Article, 2021, Page(s) on-line, ISSN 0007-8506
Editore: Hallwag AG
DOI: 10.3389/fceng.2021.665545

Gathering Expert Knowledge in Process Industry

Autori: Sabrina Luftensteiner, Georgios C. Chasparis, Michael Mayr
Pubblicato in: Procedia Computer Science, Issue Volume 217, 2023, 2023, Page(s) Pages 960-968, ISSN 1877-0509
Editore: sciencedirect.com
DOI: 10.1016/j.procs.2022.12.293

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