10 Publikationen
2024 | Konferenz - Vortrag | ELSA-ID: 11978
Gossen, A., Katsch, L., Meyer, M. I., Zimmer, M., Bator, M., Darvishi, M., Holst, C.-A., Lohweg, V., & Schneider, J. (2024). FoodLifeTimeTracking: Datengetriebene dynamische Haltbarkeitsvorhersage von Erfrischungsgetränken. GDL Kongress Lebensmitteltechnologie, Lemgo.
ELSA
2024 | Konferenz - Vortrag | ELSA-ID: 12021
Segermann, J., Luttmann, M., Blome, A., Feldt, S., Sivanesan, S., Holst, C.-A., Lohweg, V., Frahm, B., & Müller, U. (2024). Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie. 10. GDL Kongress Lebensmitteltechnologie 2024, Lemgo.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 1993
Holst, C.-A., & Lohweg, V. (2019). Feature Fusion to Increase the Robustness of Machine Learners in Industrial Environments. In at - Automatisierungstechnik 67 (10) (pp. 853–865). De Gruyter.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 1995
Holst, C.-A., Röckemann, K., Steinmetz, A., & Lohweg, V. (2019). Lamb wave-based Cure Monitoring of Carbon Fibre Reinforced Polymers for On-site Aircraft Repairs. In 5th IEEE International Forum on Research and Technologies for Society and Industry. Firenze, Italy.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 1998
Holst, C.-A., & Lohweg, V. (2019). Improving Majority-guided Fuzzy Information Fusion for Industry 4.0 Condition Monitoring. In 22nd International Conference on Information Fusion (FUSION). Ottawa, Canada.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 2003
Holst, C.-A., Röckemann, K., Steinmetz, A., & Lohweg, V. (2019). Lamb Wave-based Quality Inspection of Repaired Carbon Fibre Reinforced Polymers for On-Site Aircraft Maintenance. In 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2019). Zaragoza, Spain.
ELSA
2018 | Konferenz - Beitrag | ELSA-ID: 2007
Holst, C.-A., & Lohweg, V. (2018). A Conflict-Based Drift Detection And Adaptation Approach for Multisensor Information Fusion. In 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Torino, Italy. https://doi.org/10.1109/ETFA.2018.8502571
ELSA
| DOI
| Download (ext.)
2018 | Konferenz - Beitrag | ELSA-ID: 2009 |

Holst, C.-A., & Lohweg, V. (2018). Supporting Sensor Orchestration in Non-Stationary Environments. In ACM International Conference on Computing Frontiers 2018 (pp. 363–370). ACM: New York, NY . https://doi.org/10.1145/3203217.3203228
ELSA
| DOI
| Download (ext.)
2017 | Zeitschriftenaufsatz | ELSA-ID: 2014 |

Fritze, A., Mönks, U., Holst, C.-A., & Lohweg, V. (2017). An Approach to Automated Fusion System Design and Adaptation. Sensors, 17(3). https://doi.org/ https://doi.org/10.3390/s17030601
ELSA
| DOI
| Download (ext.)
2017 | Konferenz - Beitrag | ELSA-ID: 2018 |

Holst, C.-A., Mönks, U., & Lohweg, V. (2017). Conflict-based Feature Selection for Information Fusion Systems (pp. 279–295). Presented at the 27. Workshop Computational Intelligence , Dortmund: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA). https://doi.org/10.5445/KSP/1000074341
ELSA
| DOI
| Download (ext.)
10 Publikationen
2024 | Konferenz - Vortrag | ELSA-ID: 11978
Gossen, A., Katsch, L., Meyer, M. I., Zimmer, M., Bator, M., Darvishi, M., Holst, C.-A., Lohweg, V., & Schneider, J. (2024). FoodLifeTimeTracking: Datengetriebene dynamische Haltbarkeitsvorhersage von Erfrischungsgetränken. GDL Kongress Lebensmitteltechnologie, Lemgo.
ELSA
2024 | Konferenz - Vortrag | ELSA-ID: 12021
Segermann, J., Luttmann, M., Blome, A., Feldt, S., Sivanesan, S., Holst, C.-A., Lohweg, V., Frahm, B., & Müller, U. (2024). Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie. 10. GDL Kongress Lebensmitteltechnologie 2024, Lemgo.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 1993
Holst, C.-A., & Lohweg, V. (2019). Feature Fusion to Increase the Robustness of Machine Learners in Industrial Environments. In at - Automatisierungstechnik 67 (10) (pp. 853–865). De Gruyter.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 1995
Holst, C.-A., Röckemann, K., Steinmetz, A., & Lohweg, V. (2019). Lamb wave-based Cure Monitoring of Carbon Fibre Reinforced Polymers for On-site Aircraft Repairs. In 5th IEEE International Forum on Research and Technologies for Society and Industry. Firenze, Italy.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 1998
Holst, C.-A., & Lohweg, V. (2019). Improving Majority-guided Fuzzy Information Fusion for Industry 4.0 Condition Monitoring. In 22nd International Conference on Information Fusion (FUSION). Ottawa, Canada.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 2003
Holst, C.-A., Röckemann, K., Steinmetz, A., & Lohweg, V. (2019). Lamb Wave-based Quality Inspection of Repaired Carbon Fibre Reinforced Polymers for On-Site Aircraft Maintenance. In 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2019). Zaragoza, Spain.
ELSA
2018 | Konferenz - Beitrag | ELSA-ID: 2007
Holst, C.-A., & Lohweg, V. (2018). A Conflict-Based Drift Detection And Adaptation Approach for Multisensor Information Fusion. In 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Torino, Italy. https://doi.org/10.1109/ETFA.2018.8502571
ELSA
| DOI
| Download (ext.)
2018 | Konferenz - Beitrag | ELSA-ID: 2009 |

Holst, C.-A., & Lohweg, V. (2018). Supporting Sensor Orchestration in Non-Stationary Environments. In ACM International Conference on Computing Frontiers 2018 (pp. 363–370). ACM: New York, NY . https://doi.org/10.1145/3203217.3203228
ELSA
| DOI
| Download (ext.)
2017 | Zeitschriftenaufsatz | ELSA-ID: 2014 |

Fritze, A., Mönks, U., Holst, C.-A., & Lohweg, V. (2017). An Approach to Automated Fusion System Design and Adaptation. Sensors, 17(3). https://doi.org/ https://doi.org/10.3390/s17030601
ELSA
| DOI
| Download (ext.)
2017 | Konferenz - Beitrag | ELSA-ID: 2018 |

Holst, C.-A., Mönks, U., & Lohweg, V. (2017). Conflict-based Feature Selection for Information Fusion Systems (pp. 279–295). Presented at the 27. Workshop Computational Intelligence , Dortmund: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA). https://doi.org/10.5445/KSP/1000074341
ELSA
| DOI
| Download (ext.)