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            Probabilistic Parametric Curves for Sequence Modeling 

            Hug, Ronny (2022)
            This work proposes a probabilistic extension to Bézier curves as a basis for effectively modeling stochastic processes with a bounded index set. The proposed stochastic process model is based on Mixture Density Networks ...
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            Modeling of Dislocation 

            Erdle, Hannes (2022)
            A physically-based dislocation theory of plasticity is derived within an extended continuum mechanical context. Thermodynamically consistent flow rules at the grain boundaries are derived. With an analytical solution of a ...
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            Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors 

            Masino, Johannes (2021)
            The work provides novel methods to process inertial sensor and acoustic sensor data for road condition estimation and monitoring with application in vehicles, which serve as sensor platforms. Furthermore, methods are ...
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            Multi-frequency and multi-GNSS PPP phase bias estimation and ambiguity resolution 

            Xiao, Guorui (2022)
            Multi-frequency and multi-GNSS measurements from modernized satellites are properly integrated for PPP with ambiguity resolution to achieve the state-of-the-art fast and accurate positioning, which provides an important ...
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            Dynamic Incentives for Optimal Control of Competitive Power Systems 

            Kölsch, Lukas (2022)
            This work presents a real-time dynamic pricing framework for future electricity markets. Deduced by first-principles analysis of physical, economic, and communication constraints within the power system, the proposed ...
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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