-
Haitham Afifi, Sabrina Pochaba, Andreas Boltres, Dominic Laniewski, Janek Haberer, Leonard Paeleke, Reza Poorzare, Daniel Stolpmann, Nikolas Wehner, Adrian Redder, Eric Samikwa, Michael Seufert (2024):
Machine Learning with Computer Networks: Techniques, Datasets and Models
In: IEEE Access, vol. 12, pp. 54673-54720, 2024.
-
Florian Schöpflin, Caroline Atzl, Stefan Farthofer-Oster, Peter Dorfinger, José Carmona, David Hildenbrandt, Andreas Kuhn, Manfred Mittlböck (2024):
Mehrwert und Herausforderungen der 5G-Technologie im Anwendungsbereich der Geoinformatik.
Ergebnisse aus den zwei Forschungsprojekten 5G-Mobis und 5G-EXPS
In: gis.Science Fachzeitschrift für Geoinformatik
-
Armin Niedermüller, Moritz Beeking (2024):
Transformer based 3D semantic segmentation of urban bicycle infrastructure
In: Journal of Location Based Services
-
Christoph Schranz, Sebastian Mayr, Severin Bernhart, Christina Halmich (2023):
Nearest Advocate: A Novel Event-based Time Delay Estimation Algorithm for Multi-Sensor Time-Series Data Synchronization.
Preprint (Version 1) available at Research Square.
-
Astrid Weiss, Sabine Alexandra Zauchner, Manuela Ploessnig, Nadine Sturm, Sofia Kirilova, Mathias Schmoigl (2023):
Navigating Gender Sensitivity in Robot Design: Unveiling the Challenges and Avoiding Pitfalls.
In: International Journal of Gender, Science and Technology.
-
Guntram Geser (2023):
Achievements of the ARIADNE Initiative for Archaeological Data Sharing and Research.
In: Internet Archaeology 64, https://doi.org/10.11141/ia.64.2
-
Schmoigl-Tonis Mathias, Schranz Christoph, Müller-Putz Gernot R. (2023):
Methods for motion artifact reduction in online brain-computer interface experiments: a systematic review.
In: Frontiers in Human Neuroscience, Sec. Brain-Computer Interfaces, Volume 17-2023.
-
Kranzinger C, Bernhart S, Kremser W, Venek V, Rieser H, Mayr S, Kranzinger S. (2023):
Classification of Human Motion Data Based on Inertial Measurement Units in Sports: A Scoping Review.
In: Applied Sciences. 2023; 13(15):8684. https://doi.org/10.3390/app13158684
-
Thorwartl, C., Tschepp, A., Lasshofer, M., Holzer, H., Zirkl, M., Hammer, M., ... & Stöggl, T. (2023):
Technique-Dependent Relationship between Local Ski Bending Curvature, Roll Angle and Radial Force in Alpine Skiing.
In: Sensors, 23(8), 3997
-
Nils Haller, Stefan Kranzinger, Christina Kranzinger, Julia C. Blumkaitis, Tilmann Strepp, Perikles Simon, Aleksandar Tomaskovic, James O’Brien, Manfred Düring, Thomas Stöggl (2023):
Predicting Injury and Illness with Machine Learning in Elite Youth Soccer: A Comprehensive Monitoring Approach over 3 Months.
In: Journal of Sports Science and Medicine.
How to find us
Salzburg Research Forschungsgesellschaft
Jakob Haringer Straße 5/3
5020 Salzburg, Austria
Jakob Haringer Straße 5/3
5020 Salzburg, Austria
© 2025 Salzburg Research Certified EN ISO 9001