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            Automatische Erkennung von Zuständen in Anthropomatiksystemen 

            Moldenhauer, Jörg (2006)
            In dieser Arbeit werden adaptive Methoden zur Analyse von Anthropomatikdaten entwickelt. Zielsetzung ist die automatische Erkennung von Systemzuständen mit Hidden-Markov-Modellen. Anwendungsbeispiele sind Bohrgeräusche aus ...
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            Automatic Reconstruction of Textured 3D Models 

            Pitzer, Benjamin (2014)
            Three dimensional modeling and visualization of environments is an increasingly important problem. This work addresses the problem of automatic 3D reconstruction and we present a system for unsupervised reconstruction of ...
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            Arsenic mobilization processes in the red river delta, Vietnam : towards a better understanding of the patchy distribution of dissolved arsenic in alluvial deposits 

            Eiche, Elisabeth (2009)
            The spatial variability of dissolved arsenic (As) concentrations in aquifers was studied near Ha Noi, Vietnam. The goal was to identify major geochemical, sedimentological and hydrochemical differences between high and low ...
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            Arsenic in groundwater of West Bengal: Implications from a field study 

            Neidhardt, Harald (2012)
            This publication presents results of an interdisciplinary field study assessing the contribution of biological and inorganic processes in the mobilisation and accumulation of arsenic in groundwater of the Bengal Delta ...
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            Assessment of an ultramicroelectrode array (UMEA) sensor for the determination of trace concentrations of heavy metals in water [online] 

            Xie, Xudong (2004)
            The main objectives of this book are (i) to investigate the electrochemical behavior and the analytical performance of a novel ultramicroelectrode array (UMEA); (ii) to assess the analytical parameters of square-wave anodic ...
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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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