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12 Publikationen
2024 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11495 | 
Kruse, J., Wörner, J., Schneider, J., Dörksen, H., & Pein-Hackelbusch, M. (2024). Methods for Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation with Electronic Noses . Sensors, 24(11), Article 3520. https://doi.org/10.3390/s24113520
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2024 | Konferenzband - Beitrag | ELSA-ID: 11977
Shrotri, A. N., Krause, B., Stübbe, O., Pfeiffer, U., & Preu, S. (2024). Evaluation of Additively Manufactured Axicon Lenses Using a THz-Camera. In 2024 49th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) (Vol. 2024). IEEE. https://doi.org/10.1109/irmmw-thz60956.2024.10697740
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2023 | Konferenz - Vortrag | ELSA-ID: 10326 |
Wörner, J., Dörksen, H., & Pein-Hackelbusch, M. (2023). Key Indicators for the Discrimination of Wines by Electronic Noses. In 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). 21st International Conference on Industrial Informatics (INDIN), Lemgo. https://doi.org/10.1109/INDIN51400.2023.10217912
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2018 | Konferenz - Beitrag | ELSA-ID: 554
Beyer, M., Stübbe, O., & Villmer, F.-J. (2018). Comparsion of FLM and SLA Processing Technologies Towards Manufacturing of Optical Waveguides for Communicationi and Sensing Applications. In F.-J. Villmer, E. Padoano, Department of Production Engineering and Management, & Hochschule Ostwestfalen-Lippe (Eds.), Production engineering and management : proceedings 8th international conference, October 04 and 05, 2018, Lemgo, Germany (Issue 1, pp. 70–82).
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2017 | Konferenz - Beitrag | ELSA-ID: 573 |
Ehlert, P., Stübbe, O., & Villmer, F.-J. (2017). Investigation on the Direct Manufacturing of Waveguides and Sensors Using FLM Technology. In E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, & Hochschule Ostwestfalen-Lippe (Eds.), Production Engineering and Management (Issue 1, pp. 127–136).
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2015 | Sammelwerk | ELSA-ID: 4336 |
Holzinger, A., Röcker, C., & Ziefle, M. (Eds.). (2015). Smart Health: Open Problems and Future Challenges (Vol. 8700). Heidelberg: Springer. https://doi.org/10.1007/978-3-319-16226-3
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2015 | Konferenz - Beitrag | ELSA-ID: 2133
Dicks, A., Lohweg, V., Wittke, H., & Linke, S. (2015). Structural Health Monitoring of Plastic Components with Piezoelectric Sensors. In 20th IEEE International Conference on Emerging Technologies and Factory Automation. Luxembourg. https://doi.org/ 10.1109/ETFA.2015.7301595
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2015 | Konferenz - Beitrag | ELSA-ID: 2136
Dörksen, H., & Lohweg, V. (2015). Automated Fuzzy Classification with Combinatorial Refinement. In 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. . Luxembourg: IEEE. https://doi.org/ 10.1109/ETFA.2015.7301514
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2015 | Zeitschriftenaufsatz | ELSA-ID: 2140 |
Mönks, U., Trsek, H., Dürkop, L., Geneiß, V., & Lohweg, V. (2015). Towards distributed intelligent sensor and information fusion. Mechatronics, (34), 63–71. https://doi.org/10.1016/j.mechatronics.2015.05.005
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2015 | Konferenz - Beitrag | ELSA-ID: 2155 |
Henning, K.-F., Fritze, A., Gillich, E., Mönks, U., & Lohweg, V. (2015). Stable Image Acquisition for Mobile Image Processing Applications. In IST/SPIE Electronic Imaging 2015, Digital Photography and Mobile Imaging XI (pp. 1–12). San Francisco, CA, USA: SPIE. https://doi.org/10.1117/12.2076146
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2007 | Konferenz - Beitrag | ELSA-ID: 2068
Dyck, W., Türke, T., Schaede, J., & Lohweg, V. (2007). A Fuzzy-Pattern-Classifier-Based Adaptive Learning Model for Sensor Fusion (p. accepted for publication). Thessaloniki, Greece: MLSP 2007 - International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING. https://doi.org/10.1109/MLSP.2007.4414320
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2006 | Konferenz - Beitrag | ELSA-ID: 2062
Dyck, W., Schaede, J., Türke, T., & Lohweg, V. (2006). Information Fusion Application On Security Printing With Parametrical Fuzzy Classification. In 2006 9th International Conference on Information Fusion (pp. 1–8). 9th International Conference on Information Fusion, 2006. ICIF ’06. https://doi.org/10.1109/ICIF.2006.301779
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