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18 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 6577
Giebeler, J., Engelmann, T., & Haubrock, J. (2025). Analysis of low voltage grid state estimation with limited measurement devices. In Technische Universität Dresden; IEEE PES Germany Chapter (Ed.) (Ed.), PESS 2024 – IEEE Power and Energy Student Summit. Dresden.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6482
Halbe, M., Wetter, O. U., Wallenstein, T., Schulze, J.-P., & Höer, J. (2025). Evaluation of Tracking Algorithms for Automated Strain Analysis on Fascial Tissue. In 2025 14th International Symposium on Image and Signal Processing and Analysis (ISPA) (pp. 1–6). Coimbra, Portugal: IEEE. https://doi.org/10.1109/ISPA66905.2025.11259099
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2025 | Konferenzbeitrag | FH-PUB-ID: 6483 | 
Halbe, M., Wetter, O. U., Wallenstein, T., Schulze, J.-P., & Höer, J. (2025). Evaluation of Tracking Algorithms for Automated Strain Analysis on Fascial Tissue. In 2025 14th International Symposium on Image and Signal Processing and Analysis (ISPA) (pp. 1–6). Coimbra, Portugal: IEEE. https://doi.org/10.57720/6483
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2025 | Buchbeitrag | FH-PUB-ID: 6481
Kampe, T., & Uphaus, A. (2025). Artificial Intelligence in Finance and Accounting of Small and Medium-Sized and Family-Owned Companies—Use Cases, Opportunities, and Risks. In E. S. Bayrak Meydanoğlu, R. Öztürk, D. Zamantili Nayir, & M. Klein (Eds.), Current Issues in Business Management 2024 (pp. 79–97). Berlin: Peter Lang.
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2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6357 |
Hannebohm, P., & Bachmann, B. (2025). Selective Evaluation of RHS during Multi-Rate Simulation. In D. Zimmer & U. C. Müller (Eds.), Proceedings of the 16th International Modelica&FMI Conference (Vol. 218, pp. 943–947). Lucerne: Linköping University Electronic Press. https://doi.org/10.3384/ecp218943
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2025 | Konferenzbeitrag | FH-PUB-ID: 6235 |
Sangel, M., Bensch, E., Brandt-Pook, H., Röllke, T., & Markworth, C. (2025). Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES. In Gesellschaft für Informatik e.V. (Ed.), INFORMATIK 2025 (pp. 1363–1371). Bonn. https://doi.org/10.18420/INF2025_121
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2024 | Konferenzbeitrag | FH-PUB-ID: 5072
Uphaus, A., & Kampe, T. (2024). 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.
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2023 | Konferenzbeitrag | FH-PUB-ID: 4207 |
Sanaullah, S., & Jungeblut, T. (2023). 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. https://doi.org/10.5281/zenodo.10457930
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2023 | Artikel | FH-PUB-ID: 3348 |
Schröder, D., Wrona, K. J., Müller, F., Heinemann, S., Fischer, F., & Dockweiler, C. (2023). 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, 81. https://doi.org/10.1016/j.jbtep.2023.101893
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2022 | Artikel | FH-PUB-ID: 1799 |
Vandevoorde, K., Vollenkemper, L., Schwan, C., Kohlhase, M., & Schenck, W. (2022). Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks. Sensors, 22(7). https://doi.org/10.3390/s22072481
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2022 | Artikel | FH-PUB-ID: 2041 |
Mamun, A., Sabantina, L., Klöcker, M., Heide, A., Blachowicz, T., & Ehrmann, A. (2022). Electrospinning Nanofiber Mats with Magnetite Nanoparticles Using Various Needle-Based Techniques. Polymers, 14(3). https://doi.org/10.3390/polym14030533
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2020 | Artikel | FH-PUB-ID: 688 |
Tuvshinbayar, K., & Ehrmann, A. (2020). Acoustic Investigation of Textile Fabrics. TEKSTILEC, 63(4), 287–293. https://doi.org/10.14502/tekstilec2020.64.287-293
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2018 | Buchbeitrag | FH-PUB-ID: 331
Blachowicz, T., & Ehrmann, A. (2018). Investigating surface properties of fibers and yarns by image processing and statistical analysis techniques. In W. K. Wong (Ed.), Applications of Computer Vision in Fashion and Textiles (pp. 105–121). Woodhead Publishing (Elsevier).
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2017 | Konferenzbeitrag | FH-PUB-ID: 3233
Dietrich, S., May, G., Wetter, O. U., Heeren, H., & Fohler, G. (2017). 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) (pp. 1–8). Limassol: IEEE. https://doi.org/10.1109/ETFA.2017.8247605
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2017 | Artikel | FH-PUB-ID: 1210 |
Kunkel, S., & Schenck, W. (2017). The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code. Frontiers in Neuroinformatics, 11. https://doi.org/10.3389/fninf.2017.00040
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2014 | Artikel | FH-PUB-ID: 1048 |
von Brachel, R., Hötzel, K., Hirschfeld, G., Rieger, E., Schmidt, U., Kosfelder, J., … Vocks, S. (2014). Internet-Based Motivation Program for Women With Eating Disorders: Eating Disorder Pathology and Depressive Mood Predict Dropout. Journal of Medical Internet Research, 16(3). https://doi.org/10.2196/jmir.3104
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2010 | Artikel | FH-PUB-ID: 415
Blachowicz, T., Ehrmann Ne Tillmanns, A., Steblinski, P., & Pawela, L. (2010). Magnetization reversal in magnetic half-balls influenced by shape perturbations. Journal of Applied Physics, 108(12). https://doi.org/10.1063/1.3524501
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2009 | Artikel | FH-PUB-ID: 35
Hirschfeld, G., & Brown, G. T. L. (2009). Students’ Conceptions of Assessment - Factorial and Structural Invariance of the SCoA Across Sex, Age, and Ethnicity. European Journal of Psychological Assessment, 25(1), 30–38. https://doi.org/10.1027/1015-5759.25.1.30
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