Publications

Year:    Author:    Project: 

   Zeige 6 von 1512 Einträgen
Referierte Publikationen
Artikel in Zeitschriften (referiert) [2]
[Gum22] Gumz, J.; Fettermann, D.C.; Frazzon, E.M.; Kück, M.: Using Industry 4.0’s Big Data and IoT to Perform Feature-Based and Past Data-Based Energy Consumption Predictions. In: Sustainability, 14(2022)20, pp. 34 (also project: PROGNOSE_NLD_2)
[ BibTeX | DOI | www ]

[Scho12c] Scholz-Reiter, B.; Kück, M.: Auswahl von Prognoseverfahren für Kundenbedarfe - Erstellung einer Datenbank mit Handlungsempfehlungen zur Auswahl geeigneter Prognoseverfahren. In: Industrie Management, 28(2012)1, S. 61-65
[ BibTeX | www ]


Konferenzbeiträge (referiert) [1]
[Scho13a] Scholz-Reiter, B.; Kück, M.: Potentials of Nonlinear Dynamics Methods to Predict Customer Demands in Production Networks. In: Windt; K. (eds.): Robust Manufacturing Control. Proceedings of the CIRP Sponsored Conference RoMaC 2012, Bremen, Germany, 18th-20th June 2012, Springer, Berlin Heidelberg, 2013, pp. 33-45
[ BibTeX | DOI | www ]


Nicht-referierte Publikationen
Artikel in Zeitschriften (nicht referiert) [1]
[Scho12b] Scholz-Reiter, B.; Kück, M.; Toonen, C.: Improved Demand Forecasting Using Local Models Based on Delay Time Embedding. In: International Journal of Systems Applications, Engineering & Development, 6(2012)1, pp. 17-27
[ BibTeX | www | More information ]


Konferenzbeiträge (nicht referiert) [2]
[Scho11at] Scholz-Reiter, B.; Kück, M.; Toonen, C.: Improved Forecasting Considering Dynamic Properties within the Time Series of Customer Demands. In: Lazard, M.; Buikis, A.; Shmaliy, Y. S.; Revetria, R.; Mastorakis, N.; Martin, O.; Bognar, G.; Sohrab, S. H.; Riahi, D. N.; Gillich G.-R. (eds.): Recent Advances in Signal Processing, Computational Geometry and Systems Theory. Proceedings of the 11th WSEAS International Conference on Systems Theory and Scientific Computation (ISTASC \\\'11), WSEAS Press, N.N, 2011, pp. 103-108
[ BibTeX | www | More information ]

[Scho11bk] Scholz-Reiter, B.; Kück, M.; Toonen, C.: Simulation-Based Generation of Time Series Representing Customer Demands in Networked Manufacturing Systems. In: Kempf, M.; Rommel, S.; Fernandez, J.; Subramanian, A. (eds.): Proceedings of the 16th Annual International Conference on Industrial Engineering Theory, Applications and Practice. International Journal of Industrial Engineering, Vienna, VA, USA, 2011, pp. 488-493
[ BibTeX | More information ]



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Hint about publications at now questionable publishers

The publisher who published this publication is now suspected of being a predatory publisher. The contribution was made on the basis of a third-party-funded research project. It is part of the final project report, which was examined by anonymous reviewers. They did not criticize the publication. Some of these publications are duplications, as an extended paper was published in addition to the conference paper following some conferences.