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Markus Lassnig, Julian Marius Müller, Karin Klieber, Alexander Zeisler, Max Schirl (2021):
A digital readiness check for the evaluation of supply chain aspects and company size for Industry 4.0.
In: Journal of Manufacturing Technology Management
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Claudia Luger-Bazinger, Cornelia Zankl, Karin Klieber, Veronika Hornung-Prähauser, Karl Rehrl (2021):
Factors Influencing and Contributing to Perceived Safety of Passengers during Driverless Shuttle Rides.
In: Future Transportation. 2021; 1(3):657-671.
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Karl Rehrl, Simon Gröchenig (2021):
Evaluating Localization Accuracy of Automated Driving Systems.
In: Sensors. 2021; 21(17):5855.
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Markus Steinmaßl, Stefan Kranzinger, Karl Rehrl (2021):
Analyzing Travel Time Reliability from Sparse Probe Vehicle Data.
A Case Study on the Effects of Spatial and Temporal Aggregation.
In: Transportation Research Record: Journal of the Transportation Research Board
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José Suárez-Varela, Miquel Ferriol-Galmés, Albert López , Paul Almasan , Guillermo Bernárdez , David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio (2021):
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks.
In: ACM SIGCOMM Computer Communication Review, Vol. 51, No. 3
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Patrick Weissensteiner, Georg Stettinger, Karin Trieber, Karl Rehrl (2021):
Virtual Risk Assessment for the Deployment of Autonomous Shuttles.
In: Transportation Research Record: Journal of the Transportation Research Board.
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Sebastian Will, Claudia Luger-Bazinger, Marcus Schmitt und Cornelia Zankl (2021):
Towards the Future of Sustainable Mobility: Results from a European Survey on (Electric) Powered-Two Wheelers.
In: Sustainability 2021, 13, 7151.
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Christian Maier, Jia Lei Du, Martin Happ, Matthias Herlich, Peter Dorfinger (2021):
Graph-neural-network-based delay estimation for communication networks with heterogeneous scheduling policies.
In: ITU Journal on Future and Evolving Technologies, Vol. 2, No. 4.
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R.A. Deshmukh, D. Jayakody, A. Schneider, V. Damjanovic-Behrendt (2021):
Data Spine: A Federated Interoperability Enabler for Heterogeneous IoT Platform Ecosystems
In: Sensors 2021, 21, 4010. Special Issue “Industry 4.0 and Smart Manufacturing” (impact factor 2019: 3.275)
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Verena Venek, Wolfgang Kremser, Thomas Stöggl (2021):
Towards a Live Feedback Training System: Interchangeability of Orbbec Persee and Microsoft Kinect for Exercise Monitoring.
In: Designs 2021, 5(2), 30.
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