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MARTINEZ-ALVAREZ, A., SNYDER, C., NEUWIRTH, C., STÖGGL, T. (2020):
CLASSIFICATION OF ALPINE SKIERS SKILL LEVEL USING SMARTPHONE DATA
In: Book of Abstracts of the 25th Annual Congress of the European College of Sport Science
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Moore, S R; Kranzinger, C; Taudes, ; Stöggl, T; Kröll, J; Strutzenberger, G; Schwameder, H (2020):
Prediction and classification of foot strike during running using the LoadsolTM insole pressure sensors: An ecologically-valid follow-up study
In: Book of Abstracts of the 25th Annual Congress of the European College of Sport Science
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Stephanie R. Moore, Christina Kranzinger, Julian Fritz, Thomas Stӧggl, Josef Krӧll and Hermann Schwameder (2020):
Foot Strike Angle Prediction and Pattern Classification Using LoadsolTM Wearable Sensors: A Comparison of Machine Learning Techniques
In: Sensors 2020, 20(23)
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Müller Julian, Lassnig Markus, Klieber Karin (2020):
Digitale Geschäftsmodelle und Smart Services. White Paper aus dem Digitalen Transfer Zentrum.
Salzburg: Oktober 2020.
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Jia Lei Du, Stefan Linecker, Rodrigo Pommot, Reinhard Mayr (2020):
Dynamic Content Adaptation for Timely Delivery of Critical Data under Network Congestion.
In: 12th International Conference on Emerging Networks and Systems Intelligence (EMERGING), Nice, France,
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Stefan Farthofer, Diego Teixeira Barreto Lima, Jia Lei Du (2020):
Application Layer Benefits of Redundant Disjoint Paths in a Real-Time Ethernet
In: 11th International Conference on ICT Convergence (ICTC 2020)
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Matthias Herlich, Stefan Farthofer (2020):
Wireless Communication Data Sets for Machine Learning.
In: 2nd KuVS Fachgespräch "Machine Learning and Networking" in Würzburg, Germany (virtual)
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Giovanni Artale, Christof Brandauer, Giuseppe Caravello, Antonio Cataliotti, Valentina Cosentino, Dario Di Cara, Salvatore Guaiana, Nicola Panzavecchia, Stefano Salsano, Giovanni Tinè (2020):
A Resilient Distributed Measurement System for Smart Grid Application
In: Communications in Computer and Information Science (CCIS, volume 1284)
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Christoph Schranz, Peter Michael Jeremias (2020):
Deterministic Time-Series Joins for Asynchronous High-Throughput Data Streams
In: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
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Güntner, Georg; Hoher, Simon (Hrsg.) (2020):
Digital Twins im Anlagen-Lebenszyklus.
Mit Beiträgen von Michael Eberle, Dietmar Glachs, Simon Kranzer, Georg Schäfer, Christoph Schranz. White Paper des DTZ Salzburg. © Salzburg Research, FH Salzburg, 2020.
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