Florian Neukart

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This paper presents aspects about biosignal data acquisition, applied in design of the medical measuring and recording devices. We are working on a mobile health monitoring project and the signal conditioning section will be used for ECG and EOG analog input signal recordings. This block of medical devices represents intermediate section between electrodes(More)
In a time-critical world knowledge at the right time might decide everything. However, storing data does not correspond with understanding the knowledge it contains. Thus, solutions capable of learning problem statements and gathering knowledge from huge amounts of data, be it structured or unstructured, are required. This is where computational(More)
Quantum annealing algorithms belong to the class of meta-heuristic tools, applicable for solving binary optimization problems. Hardware implementations of quantum annealing, such as the quantum processing units (QPUs) produced by D-Wave Systems [1], have been subject to multiple analyses in research, with the aim of characterizing the technology’s(More)
Data science and machine learning are the key technologies when it comes to the processes and products with automatic learning and optimization to be used in the automotive industry of the future. This article defines the terms “data science” (also referred to as “data analytics”) and “machine learning” and how they are related. In addition, it defines the(More)
Quantum annealing algorithms belong to the class of metaheuristic tools, applicable for solving binary optimization problems. Hardware implementations of quantum annealing, such as the quantum annealing machines produced by D-Wave Systems [1], have been subject to multiple analyses in research, with the aim of characterizing the technology’s usefulness for(More)
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