Publications
In the year 2023, St. Pölten UAS researchers produced 191 publications based on their scientific work.
The university is committed to making knowledge publicly accessible and supports open access publications. It is one of the first Austrian universities of applied sciences to sign the Berlin Declaration on Open Access to Knowledge in the Sciences and Humanities. Click here for further information on the topic of open access, as well as a link to St Pölten UAS’s open access database.
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2024
Siragy, T., Russo, Y., & Horsak, B. (2024). Mediolateral Margin of Stability highlights motor strategies for maintaining dynamic balance in older adults. PLOS ONE, 19(10), e0313034. https://doi.org/10.1371/journal.pone.0313034
Slijepcevic, D., Krondorfer, P., Unglaube, F., Kranzl, A., Zeppelzauer, M., & Horsak, B. (2024). Predicting ground reaction forces in overground walking from gait kinematics using machine learning. Gait & Posture, 113, 214–215. https://doi.org/10.1016/j.gaitpost.2024.07.231
Slijepcevic, D., Horst, F., Simak, M. L., Schöllhorn, W. I., Horsak, B., & Zeppelzauer, M. (2024). Decoding Gait Signatures: Exploring Individual Patterns in Pathological Gait using Explainable AI. IEEE Access, 1–1. https://doi.org/10.1109/ACCESS.2024.3513893
Teufl, G., Simonlehner, M., Prock, K., & Horsak, B. (2024). Comparing Jump Height Estimated From A Virtual Reality Head-Mounted-Display and Force plate. ISBS Proceedings Archive, 42, 922. https://commons.nmu.edu/isbs/vol42/iss1/213/
Totorean, A., Lancere, L., Horsak, B., Simonlehner, M., Stoia, D. I., Crisan-Vida, M., Moco, D., Fernandes, R., Gere, A., Sterckx, Y., Zulkarnain, A., Gal-Nadasan, N., & Stoia, A. (2024). Heart Rate and Surface Electromyography Analysis to Assess Physical Activity Using a Virtual-Reality Exergame. In N. Herisanu & V. Marinca (Eds.), Acoustics and Vibration of Mechanical Structures—AVMS-2023 (pp. 139–146). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-48087-4_15
Vulpe-Grigorasi, A., Gollan, B., & Leung, V. (2024). Assessing Cognitive Load in Distraction and Task Switching: Implications for Developing Realistic Clinical XR Training. 41st Computer Graphics International Conference, CGI 2024, Geneva, Switzerland, July 1–5, 2024, Proceedings, Part II. CGI Computer Graphics International 2024, Geneva Switzerland. https://link.springer.com/book/9783031820205
Vulpe-Grigorasi, A., Kren, Z., Slijepčević, D., Schmied, R., & Leung, V. (2024). Attention performance classification based on eye tracking and machine learning. Informatics 2024 Proceedings. IEEE International Scientific Conference on Informatics, Poprad Slovakia.
Zülch, H., Kovarova-Simecek, M., Mölders, M., Bock, L., & Barrantes, E. (2024). Finfluencer im Fokus: Marktüberblick und tiefergehende Untersuchung von Instagram – Analyse und Handlungsempfehlungen für die Finanzkommunikation von börsennotierten Unternehmen. KoR - Zeitschrift für internationale und kapitalmarktorientierte Rechnungslegung, 24. Jg.(3), 137–146. https://research.owlit.de/document/92d86f58-f503-3750-b790-ab32037b213e
2023
Acosta, M., Peroni, S., Vahdati, S., Gentile, A. L., Pellegrini, T., Kalo, J. C., & Krone, Jan (Eds.). (2023). KNOWLEDGE GRAPHS: semantics, machine learning, and languages. IOS PRESS. https://ebooks.iospress.nl/ISBN/978-1-64368-425-3
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
Anderluh, A., Moser, M., Pellegrini, T., Richter, L., Zahra, M., Hackl, R., Raffler, C., & Sempoch, C. (2023). CE4ALL - Kreislaufwirtschaft für alle: Incentives, Enabler und Inhibitoren für einen nachhaltigen Konsum (Berichte aus Energie- und Umweltforschung). BMK. https://fti-ressourcenwende.at/resources/pdf/schriftenreihe-2023-2_ce4all.pdf
Anderluh, A., Figueroa-Valle, F., Graf, P., Michelberger, F., Prem, M., Wagner, A., & Haramina, H. (2023). NITOB - Nachhaltige intermodale Transportketten durch Optimierung von Bahnabläufen [Endbericht]. FH St. Pölten. https://phaidra.fhstp.ac.at/o:5473
Anderluh, A., Hemmelmayr, V., & Turan, B. (2023). Citylogistik im Wandel der Zeit. In T. Wakolbinger & E. W. Fürst (Eds.), "Transport, Logistik und Supply Chain Management im Wandel der Zeit" (pp. 35–51). WU Wien.
Belinskaya, Y. (2023). How the internet is being tamed in Russia: Chronicle of state securitization measures. Journalism Research, 6(1), 71–92. https://doi.org/10.1453/2569-152x-12023-13030-en
Belinskaya, Y. (2023). ‘Insider news’ on Russian Telegram: Resembling truth, proximity and objectivity. Journal of Applied Journalism & Media Studies. https://doi.org/10.1386/ajms_00108_1
Bruckner, Franziska, Feyersinger, Erwin, & Lechner, Patrik. (2023, June 14). AniVision: Machine Learning as a Tool for Studying Animation in Ephemeral Films [Vortrag]. Society for Animation Studies 34th Annual Conference – The Animated Environment, Online – Glassboro. https://research.fhstp.ac.at/projekte/anivision
Serralha, M. de F., Anderluh, A., Santos, B., Radványi, D., Leščevica, M., Mesbahi, Z., Carriço, N., Nolz, P., Coninck, S., & Galatanu, S. (2023). Chapter 9: The contribution of urban domestic waste management to the circular economy: The perspective of six European countries. In L. C. Carvalho, P. Bogas, J. Kneipp, L. Avila, & E. Ossmane (Eds.), Handbook of Research on Solving Societal Challenges Through Sustainability-Oriented Innovation (pp. 159–181). IGI Global. https://www.igi-global.com/chapter/the-contribution-of-urban-domestic-waste-management-to-the-circular-economy/320870
Dam, T., Krimbacher, A., & Neumaier, S. (2023, September). Policy Patterns for Usage Control in Data Spaces. Fifth International Workshop On A Semantic Data Space For Transport @ SEMANTiCS 2023. SEMANTiCS 2023.
de Jesus Oliveira, V. A., Slijepčević, D., Dumphart, B., Ferstl, S., Reis, J., Raberger, A.-M., Heller, M., Horsak, B., & Iber, M. (2023). Auditory feedback in tele-rehabilitation based on automated gait classification. Personal and Ubiquitous Computing. https://doi.org/10.1007/s00779-023-01723-2
Dumphart, B., Slijepcevic, D., Zeppelzauer, M., Kranzl, A., Unglaube, F., Baca, A., & Horsak, B. (2023). Robust deep learning-based gait event detection across various pathologies. PLOS ONE, 18(8), e0288555. https://doi.org/10.1371/journal.pone.0288555