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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.
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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
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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
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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.
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Häusler, E., Kremser, W., Hornung-Prähauser, V. and Huber, F. (2023):
Data-intensive IoT New Product Development: a review and future directions
In: Int. J. Product Development, Vol. 27, No. 3, pp.265–292.
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Martin Loidl, Dana Kaziyeva, Robin Wendel, Claudia Luger-Bazinger, Matthias Seeber and Charalampos Stamatopoulos (2023):
Unlocking the Potential of Digital, Situation-Aware Nudging for Promoting Sustainable Mobility
In: Sustainability 2023, 15(14), 11149.
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Helmut Zörrer, Georg Weichhart, Mathias Schmoigl Tonis, Till Bieg, Matthias Propst, Dominik Schuster, Nadine Sturm, Chloé Nativel, Gabriele Salomon, Felix Strohmeier , Andreas Sackl, Michael Eberle and Andreas Pichler (2023):
Enabling End-Users in Designing and Executing of Complex, Collaborative Robotic Processes
In: Applied System Innovation 6, no. 3: 56.
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Luger-Bazinger, Claudia; Geser, Guntram; Veronika Hornung-Prähauser (2023):
Digital Behavioural Interventions for Sustainable Mobility: A Review of Behaviour Change Techniques in Mobile Apps
In: Behavioural Economics Guide 2023
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Stefan Kranzinger, Sebastian Baron, Christina Kranzinger, Dominik Heib, Christian Borgelt (2023):
Generalisability of sleep stage classification based on interbeat intervals: validating three machine learning approaches on self-recorded test data.
In: Behaviormetrika (2023).
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Moritz Beeking, Markus Steinmaßl, Melanie Urban, Karl Rehrl (2023):
Sparse Data Traffic Speed Prediction on a Road Network With Varying Speed Levels
In: Transportation Research Record
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