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Digital Technologies

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2023
Altendorfer, K., & Felberbauer, T. (2023). Forecast and production order accuracy for stochastic forecast updates with demand shifting and forecast bias correction. Simulation Modelling Practice and Theory, 125, 102740. https://doi.org/10.1016/j.simpat.2023.102740
2022
Seiringer, W., Brockmann, F., Altendorfer, K., & Felberbauer, T. (2022). Influence of Forecast Error and Forecast Bias on Safety Stock on a MRP System with Rolling Horizon Forecast Updates. In N. Trautmann & M. Gnägi (Eds.), Operations Research Proceedings 2021 (pp. 421–426). Springer International Publishing. https://doi.org/10.1007/978-3-031-08623-6_62
2021
Bilek, N., Feldhofer, A., & Moser, T. (2021). Virtual Reality Based Mass Disaster Triage Training for Emergency Medical Services. IEEE VR 2021. https://doi.org/10/gjwd3m
Daramola, O., & Moser, T. (Eds.). (2021). Advanced concepts, methods, and applications in semantic computing. Engineering Science Reference.
Horsak, B., Simonlehner, M., Schöffer, L., Dumphart, B., Jalaeefar, A., & Husinsky, M. (2021). Overground Walking in a Fully Immersive Virtual Reality: A Comprehensive Study on the Effects on Full-Body Walking Biomechanics. Frontiers in Bioengineering and Biotechnology, 9, 1236. https://doi.org/https://doi.org/10.3389/fbioe.2021.780314
Jandl, C., Wagner, M., Moser, T., & Schlund, S. (2021). Reasons and Strategies for Privacy Features in Tracking and Tracing Systems—A Systematic Literature Review. Sensors, 21(13), 4501. https://doi.org/https://doi.org/10.3390/s21134501
Jandl, C., Taurer, F., Hartner-Tiefenthaler, M., Wagner, M., Moser, T., & Schlund, S. (2021). Perceptions of Using Tracking and Tracing Systems in Work Environments. In F. F.-H. Nah & K. Siau (Eds.), HCI in Business, Government and Organizations (Vol. 12783, pp. 384–398). Springer International Publishing. https://doi.org/10.1007/978-3-030-77750-0_24
2020
Felberbauer, T., Altendorfer, K., & Peirleitner, A. J. (2020). Effect of load bundling on supply Chain inventory management: An evaluation with simulation-based optimisation. Journal of Simulation, 0(0), 1–12. https://doi.org/10/gh38bv
Jakl, A., Lienhart, A.-M., Baumann, C., Jalaeefar, A., Schlager, A., Schöffer, L., & Bruckner, F. (2020). Enlightening Patients with Augmented Reality. 9. https://doi.org/10/ghppzb
Nurgazina, J., Felberbauer, T., Moser, T., & Reiner, G. (2020). Distributed ledger technology applications for improved traceability of food supply chains. Proceedings of the 27th EurOMA Conference, 532–541. https://warwick.ac.uk/fac/sci/wmg/news-and-events/events/wmgevents/euroma2020/proceedings/
2018
Felberbauer, T., Gutjahr, W. J., & Doerner, K. F. (2018). Stochastic project management: multiple projects with multi-skilled human resources. Journal of Scheduling. https://doi.org/10/gnt2vk
Felberbauer, T., Hübl, A., Altendorfer, K., & Gattringer, J. (2018). Strategic Supply Chain Design for an Austrian Winter Road Service Provider. 2018 Winter Simulation Conference (WSC), 3120–3131. https://doi.org/10/gnt2vj
Husinsky, Matthias, & Bruckner, Franziska. (2018). Virtual Stage: Interactive Puppeteerting in Mixed Reality. ANIVAE - 1st Workshop on Animation in Virtual Und Augmented Environments, IEEE VR 2018. https://anivae.fhstp.ac.at/program/
Luh, R., Schramm, G., Wagner, M., Janicke, H., & Schrittwieser, S. (2018). SEQUIN: a grammar inference framework for analyzing malicious system behavior. Journal of Computer Virology and Hacking Techniques, 01–21. https://doi.org/10/cwdf
Wagner, M., Slijepcevic, D., Horsak, B., Rind, A., Zeppelzauer, M., & Aigner, W. (2018). KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis. IEEE Transactions on Visualization and Computer Graphics (TVCG), 25(3), 1528–1542. https://doi.org/10/ghppzn
2017
Federico, P., Wagner, M., Rind, A., Amor-Amorós, A., Miksch, S., & Aigner, W. (2017). The Role of Explicit Knowledge: A Conceptual Model of Knowledge-Assisted Visual Analytics. IEEE Conference on Visual Analytics Science and Technology (VAST), 92–103. https://doi.org/10/ghppzr
Rind, A., Federico, P., Gschwandtner, T., Aigner, W., Doppler, J., & Wagner, M. (2017). Visual Analytics of Electronic Health Records with a Focus on Time. In G. Rinaldi (Ed.), New Perspectives in Medical Records: Meeting the Needs of Patients and Practitioners (pp. 65–77). Springer. https://doi.org/10.1007/978-3-319-28661-7_5
Rind, A., Haberson, A., Blumenstein, K., Niederer, C., Wagner, M., & Aigner, W. (2017). PubViz: Lightweight Visual Presentation of Publication Data. In B. Kozlíková, T. Schreck, & T. Wischgoll (Eds.), Proc. Eurographics Conf. Visualization (EuroVis) – Short Paper (pp. 169–173). EuroGraphics. https://doi.org/10/cwdc
Wagner, M., Sacha, D., Rind, A., Fischer, F., Luh, R., Schrittwieser, S., Keim, D. A., & Aigner, W. (2017). Visual Analytics: Foundations and Experiences in Malware Analysis. In L. B. Othmane, M. G. Jaatun, & E. Weippl (Eds.), Empirical Research for Software Security: Foundations and Experience (pp. 139–171). CRC/Taylor and Francis.
Wagner, M., Rind, A., Thür, N., & Aigner, W. (2017). A knowledge-assisted visual malware analysis system: design, validation, and reflection of KAMAS. Computers & Security, 67, 1–15. https://doi.org/10/b5j9
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