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            Situationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation 

            Puls, Stephan (2014)
            In the proposed system the environment of an industrial robot is captured through algorithms of machine learning. Thus, objects and human actions are determined. Based on semantic analysis situational knowledge is inferred ...
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            Situation Interpretation for Knowledge- and Model Based Laparoscopic Surgery 

            Kati?, Darko (2016)
            To manage the influx of information into surgical practice, new man-machine interaction methods are necessary to prevent information overflow. This work presents an approach to automatically segment surgeries into phases ...
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            Social Entrepreneurship - Gewinn ist Mittel, nicht Zweck : eine Untersuchung über Entstehung, Erscheinungsweisen und Umsetzung 

            Harbrecht, Armin (2010)
            Social Entrepreneurship ist ein weltweites, aktuelles Phänomen ohne einheitliche Definition. Die Motivation des Unternehmers macht den Unterschied zwischen sozial orientierten und gewinnorientierten Unternehmen. Gesellschaftliche ...
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            Social cost-benefit analysis of air pollution control measures - Advancing environmental-economic assessment methods to evaluate industrial point emission sources 

            van der Kamp, Jonathan (2017)
            This book enhances economic methods for social cost-benefit analysis of air pollution control measures at point emission sources. A new and highly resolved health damage cost assessment framework is developed and applied, ...
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            Praxis der Digitalen Signalverarbeitung 

            Puente León, FernandoBauer, Sebastian (2017)
            The basics of digital signal processing are introduced with eight practical experiments. The experiments cover a wide range of different topics such as sensor fusion, vibration analysis, acoustics and image processing. The ...
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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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