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45 Publikationen
2021 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12230
Moore TN et al. (2021) LakeEnsemblR: An R Package That Facilitates Ensemble Modelling of Lakes. Environmental modelling & software with environment data news 143.
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2020 | Diskussionspapier | ELSA-ID: 2184 | 
Sietz M and Wrenger B (2020) Entropie eines Eiswürfels, Wahrscheinlichkeitsaussagen und Meeresspiegelerhöhung. .
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2020 | Zeitschriftenaufsatz | ELSA-ID: 5424
Weishaupt I et al. (2020) Model Based Optimization of Transflection near Infrared Spectroscopy as a Process Analytical Tool in a Continuous Flash Pasteurizer. Journal of Food Science 85, 2020–2031.
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2019 | Konferenz - Beitrag | ELSA-ID: 1911
Tackenberg S et al. (2019) Digital Transformation of Companies: Experience Gained in the Implementation of an IOT Check. In Padoano E, Villmer F-J and Department of Production Engineering and Management (eds), Production Engineering and Management. Lemgo, pp. 281–290.
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2019 | Konferenz - Beitrag | ELSA-ID: 6003
Fliedner NH, Heß R and Witte S (2019) Multi-Connectivity in 5G Industrial Environments. In Jumar U, Jasperneite J, and Institut für Automation und Kommunikation e.V. (eds), KommA 2019 : Kommunikation in der Automation : 20.-21.11.2019 : 10. Jahreskolloquium ‘Kommunikation in der Automation’. Magdeburg: Otto-von-Guericke-Universität Magdeburg. R-PÖ.
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2019 | Konferenzband - Beitrag | ELSA-ID: 12803
Wunderlich P and Hranisavljevic N (2019) Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction, Aalto University, Finland, Tampere University, Finland, and Finnish Society of Automation, Finland (eds). [Piscataway, NJ]: IEEE.
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2018 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11746
Tapuria A et al. (2018) Comparison and Transformation between CDISC ODM and EN13606 EHR Standards in Connecting EHR Data with Clinical Trial Research Data. Digital health 4.
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2018 | Konferenz - Beitrag | ELSA-ID: 2005 |
Dörksen H and Lohweg V (2018) Linear Classification of Badly Conditioned Data. . 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Torino, Italy.
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2018 | Konferenzband - Beitrag | ELSA-ID: 549 |
Springer A et al. (2018) Dissimilar Metal Joints - Laser Based Manufacturing Processes for Components of Tomorrow. Lemgo: Technische Hochschule Ostwestfalen-Lippe.
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2018 | Konferenz - Beitrag | ELSA-ID: 551 |
Heister M, Deuter A and Schrader B (2018) Design of an ALM-Based Process for Configuring PLM Systems. In Villmer F-J, Padoano E and Department of Production Engineering and Management (eds), Production Engineering and Management. Lemgo, pp. 31–41.
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2018 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12239
Bruce LC et al. (2018) A Multi-Lake Comparative Analysis of the General Lake Model (GLM): Stress-Testing across a Global Observatory Network. Environmental modelling & software with environment data news 102, 274–291.
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2017 | Konferenz - Beitrag | ELSA-ID: 570 |
Scheideler E, Huxol A and Villmer F-J (2017) Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models. In Padoano E, Villmer F-J and Department of Production Engineering and Management (eds), Production Engineeringand Management. Lemgo, pp. 89–100.
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2017 | Konferenz - Beitrag | ELSA-ID: 578 |
Kleineberg T, Eichelberg M and Hinrichsen S (2017) Participative Development of an Implementation Process for Worker Assistance Systems. In Padoano E, Villmer F-J and Department of Production Engineering and Management (eds), Production Engineering and Management. Lemgo, pp. 25–36.
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2016 | Konferenz - Beitrag | ELSA-ID: 593 |
Cantauw AM and Li L (2016) Application of Swarm Intelligence for Automated Guided Vehicle Systems. In Villmer F-J, Padoano E and Department of Production Engineering and Management (eds), Department of Production Engineering and Management. Lemgo, pp. 133–143.
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2016 | Konferenz - Beitrag | ELSA-ID: 594 |
Otte A, Scheideler E and Villmer F-J (2016) Project Cost Estimator - A Parameter-Based Tool to Predict Product Realization Costs at a Very Early Stage. In Villmer F-J, Padoano E and Department of Production Engineering and Management (eds), Department of Production Engineering and Management. Lemgo, pp. 281–292.
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2015 | Konferenz - Beitrag | ELSA-ID: 597 |
Scheideler E and Ahlemeyer-Stubbe A (2015) Data Mining: A Potential Detector to Find Failure in Complex Components. In Padoano E et al. (eds), Production Engineering and Management : Proceedings, 5th International Conference, October 1 and 2, 2015, Trieste, Italy. Lemgo: Hochschule Ostwestfalen-Lippe, pp. 163–174.
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