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10 Publikationen

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[10]
2022 | Konferenzbeitrag | FH-PUB-ID: 2232
Voigt, Tim, et al. “Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes.” Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings, edited by Hujun Yin et al., Springer International Publishing, 2022, pp. 379–90, doi:10.1007/978-3-031-21753-1_37.
HSBI-PUB | DOI
 
[9]
2022 | Buchbeitrag | FH-PUB-ID: 2291 | OA
Hanitz, Marcel, et al. “Analysis of the Behavior of Online Decision Trees Under Concept Drift at the Example of FIMT-DD.” Machine Learning and Data Mining in Pattern Recognition, MLDM 2022, edited by Petra Perner, ibai-publishing, 2022, pp. 121–35.
HSBI-PUB | Download (ext.)
 
[8]
2021 | Konferenzbeitrag | FH-PUB-ID: 3718
Voigt, Tim, et al. “Space-Filling Designs for Experiments with Assembled Products.” 2021 3rd International Conference on Management Science and Industrial Engineering, ACM, 2021, pp. 192–99, doi:10.1145/3460824.3460854.
HSBI-PUB | DOI | Download (ext.)
 
[7]
2021 | Artikel | FH-PUB-ID: 3717 | OA
Voigt, Tim, et al. “Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge.” Mathematics, vol. 9, no. 19, 2479, MDPI AG, 2021, doi:10.3390/math9192479.
HSBI-PUB | DOI | Download (ext.)
 
[6]
2021 | Konferenzbeitrag | FH-PUB-ID: 2571
Voigt, Tim, et al. “Advanced Data Analytics Platform for Manufacturing Companies.” 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), IEEE, 2021, pp. 01–08, doi:10.1109/ETFA45728.2021.9613499.
HSBI-PUB | DOI
 
[5]
2021 | Konferenzbeitrag | FH-PUB-ID: 2572
Steinmann, Luca, et al. “Variational Autoencoder Based Novelty Detection for Real-World Time Series.” 2021 3rd International Conference on Management Science and Industrial Engineering, ACM, 2021, pp. 1–7, doi:10.1145/3460824.3460825.
HSBI-PUB | DOI
 
[4]
2020 | Konferenzbeitrag | FH-PUB-ID: 1367
Voigt, Tim, et al. “Incremental Latin Hypercube Additive Design for LOLIMOT.” 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2020, pp. 1602–09, doi:10.1109/ETFA46521.2020.9212173.
HSBI-PUB | DOI
 
[3]
2020 | Artikel | FH-PUB-ID: 1368
Voigt, Tim, et al. “Bestandsanlagen in der smarten Produktion, Integrationsstrategien anhand eines Praxisbeispiels.” atp magazin, vol. 04, no. 04, 2020, pp. 62–69.
HSBI-PUB
 
[2]
2019 | Konferenzbeitrag | FH-PUB-ID: 1371
Voigt, Tim, et al. “Inkrementelle Modellbildung von statischen Prozessen auf Basis von Latin Hypercube Designs.” Proceedings - 29. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, 2019, pp. 267–88.
HSBI-PUB
 
[1]
2018 | Konferenzbeitrag | FH-PUB-ID: 1369
Voigt, Tim, and Martin Kohlhase. “Schätzung von datenbasierten lokal-linearen Modellen auf der Grundlage von LOLIMOT für den systematischen Entwurf von lokal-linearen Zustandsreglern.” Proceedings - 28. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, 2018, pp. 93–111.
HSBI-PUB
 

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10 Publikationen

Alle markieren

[10]
2022 | Konferenzbeitrag | FH-PUB-ID: 2232
Voigt, Tim, et al. “Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes.” Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings, edited by Hujun Yin et al., Springer International Publishing, 2022, pp. 379–90, doi:10.1007/978-3-031-21753-1_37.
HSBI-PUB | DOI
 
[9]
2022 | Buchbeitrag | FH-PUB-ID: 2291 | OA
Hanitz, Marcel, et al. “Analysis of the Behavior of Online Decision Trees Under Concept Drift at the Example of FIMT-DD.” Machine Learning and Data Mining in Pattern Recognition, MLDM 2022, edited by Petra Perner, ibai-publishing, 2022, pp. 121–35.
HSBI-PUB | Download (ext.)
 
[8]
2021 | Konferenzbeitrag | FH-PUB-ID: 3718
Voigt, Tim, et al. “Space-Filling Designs for Experiments with Assembled Products.” 2021 3rd International Conference on Management Science and Industrial Engineering, ACM, 2021, pp. 192–99, doi:10.1145/3460824.3460854.
HSBI-PUB | DOI | Download (ext.)
 
[7]
2021 | Artikel | FH-PUB-ID: 3717 | OA
Voigt, Tim, et al. “Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge.” Mathematics, vol. 9, no. 19, 2479, MDPI AG, 2021, doi:10.3390/math9192479.
HSBI-PUB | DOI | Download (ext.)
 
[6]
2021 | Konferenzbeitrag | FH-PUB-ID: 2571
Voigt, Tim, et al. “Advanced Data Analytics Platform for Manufacturing Companies.” 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), IEEE, 2021, pp. 01–08, doi:10.1109/ETFA45728.2021.9613499.
HSBI-PUB | DOI
 
[5]
2021 | Konferenzbeitrag | FH-PUB-ID: 2572
Steinmann, Luca, et al. “Variational Autoencoder Based Novelty Detection for Real-World Time Series.” 2021 3rd International Conference on Management Science and Industrial Engineering, ACM, 2021, pp. 1–7, doi:10.1145/3460824.3460825.
HSBI-PUB | DOI
 
[4]
2020 | Konferenzbeitrag | FH-PUB-ID: 1367
Voigt, Tim, et al. “Incremental Latin Hypercube Additive Design for LOLIMOT.” 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2020, pp. 1602–09, doi:10.1109/ETFA46521.2020.9212173.
HSBI-PUB | DOI
 
[3]
2020 | Artikel | FH-PUB-ID: 1368
Voigt, Tim, et al. “Bestandsanlagen in der smarten Produktion, Integrationsstrategien anhand eines Praxisbeispiels.” atp magazin, vol. 04, no. 04, 2020, pp. 62–69.
HSBI-PUB
 
[2]
2019 | Konferenzbeitrag | FH-PUB-ID: 1371
Voigt, Tim, et al. “Inkrementelle Modellbildung von statischen Prozessen auf Basis von Latin Hypercube Designs.” Proceedings - 29. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, 2019, pp. 267–88.
HSBI-PUB
 
[1]
2018 | Konferenzbeitrag | FH-PUB-ID: 1369
Voigt, Tim, and Martin Kohlhase. “Schätzung von datenbasierten lokal-linearen Modellen auf der Grundlage von LOLIMOT für den systematischen Entwurf von lokal-linearen Zustandsreglern.” Proceedings - 28. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, 2018, pp. 93–111.
HSBI-PUB
 

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Zitationsstil: MLA

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