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18 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 6577
J. Giebeler, T. Engelmann, and J. Haubrock, “Analysis of low voltage grid state estimation with limited measurement devices,” in PESS 2024 – IEEE Power and Energy Student Summit, Dresden, 2025.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6482
M. Halbe, O. U. Wetter, T. Wallenstein, J.-P. Schulze, and J. Höer, “Evaluation of Tracking Algorithms for Automated Strain Analysis on Fascial Tissue,” in 2025 14th International Symposium on Image and Signal Processing and Analysis (ISPA), Coimbra, Portugal, 2025, pp. 1–6.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6483 | 
M. Halbe, O. U. Wetter, T. Wallenstein, J.-P. Schulze, and J. Höer, “Evaluation of Tracking Algorithms for Automated Strain Analysis on Fascial Tissue,” in 2025 14th International Symposium on Image and Signal Processing and Analysis (ISPA), Coimbra, Portugal, 2025, pp. 1–6.
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2025 | Buchbeitrag | FH-PUB-ID: 6481
T. Kampe and A. Uphaus, “Artificial Intelligence in Finance and Accounting of Small and Medium-Sized and Family-Owned Companies—Use Cases, Opportunities, and Risks,” in Current Issues in Business Management 2024, E. S. Bayrak Meydanoğlu, R. Öztürk, D. Zamantili Nayir, and M. Klein, Eds. Berlin: Peter Lang, 2025, pp. 79–97.
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2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6357 |
P. Hannebohm and B. Bachmann, “Selective Evaluation of RHS during Multi-Rate Simulation,” in Proceedings of the 16th International Modelica&FMI Conference, Lucerne, 2025, vol. 218, pp. 943–947.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6235 |
M. Sangel, E. Bensch, H. Brandt-Pook, T. Röllke, and C. Markworth, “Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES,” in INFORMATIK 2025, Potsdam, 2025, no. 366, pp. 1363–1371.
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2024 | Konferenzbeitrag | FH-PUB-ID: 5072
A. Uphaus and T. Kampe, “Artificial intelligence in finance and accounting of small and medium-sized and family-owned companies - use cases, opportunities and risks,” in 5th Annual Business Administration Conference “Current Issues in Business Management”, Türkisch-Deutsche Universität (TDU), Istanbul, 25.-26.10., Istanbul, 2024.
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2023 | Konferenzbeitrag | FH-PUB-ID: 4207 |
S. Sanaullah and T. Jungeblut, “Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis,” presented at the 19th International Conference on Machine Learning and Data Mining MLDM, New York USA, 2023.
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2023 | Artikel | FH-PUB-ID: 3348 |
D. Schröder, K. J. Wrona, F. Müller, S. Heinemann, F. Fischer, and C. Dockweiler, “Impact of virtual reality applications in the treatment of anxiety disorders: A systematic review and meta-analysis of randomized-controlled trials,” Journal of Behavior Therapy and Experimental Psychiatry, vol. 81, 2023.
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2022 | Artikel | FH-PUB-ID: 1799 |
K. Vandevoorde, L. Vollenkemper, C. Schwan, M. Kohlhase, and W. Schenck, “Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks,” Sensors, vol. 22, no. 7, 2022.
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2022 | Artikel | FH-PUB-ID: 2041 |
A. Mamun, L. Sabantina, M. Klöcker, A. Heide, T. Blachowicz, and A. Ehrmann, “Electrospinning Nanofiber Mats with Magnetite Nanoparticles Using Various Needle-Based Techniques,” Polymers, vol. 14, no. 3, 2022.
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2020 | Artikel | FH-PUB-ID: 688 |
K. Tuvshinbayar and A. Ehrmann, “Acoustic Investigation of Textile Fabrics,” TEKSTILEC, vol. 63, no. 4, pp. 287–293, 2020.
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2018 | Buchbeitrag | FH-PUB-ID: 331
T. Blachowicz and A. Ehrmann, “Investigating surface properties of fibers and yarns by image processing and statistical analysis techniques,” in Applications of Computer Vision in Fashion and Textiles, W. K. Wong, Ed. Woodhead Publishing (Elsevier), 2018, pp. 105–121.
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2017 | Konferenzbeitrag | FH-PUB-ID: 3233
S. Dietrich, G. May, O. U. Wetter, H. Heeren, and G. Fohler, “Performance indicators and use case analysis for wireless networks in factory automation,” in 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Limassol, 2017, pp. 1–8.
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2017 | Artikel | FH-PUB-ID: 1210 |
S. Kunkel and W. Schenck, “The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code,” Frontiers in Neuroinformatics, vol. 11, 2017.
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2014 | Artikel | FH-PUB-ID: 1048 |
R. von Brachel et al., “Internet-Based Motivation Program for Women With Eating Disorders: Eating Disorder Pathology and Depressive Mood Predict Dropout,” Journal of Medical Internet Research, vol. 16, no. 3, 2014.
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2009 | Artikel | FH-PUB-ID: 35
G. Hirschfeld and G. T. L. Brown, “Students’ Conceptions of Assessment - Factorial and Structural Invariance of the SCoA Across Sex, Age, and Ethnicity,” European Journal of Psychological Assessment, vol. 25, no. 1, pp. 30–38, 2009.
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