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            Modellierung und Optimierung der strömungstechnischen Vorgänge in Abweiseradsichtern 

            Betz, Michael (2022)
            Centrifugal classifiers are processing machines used in the gas-particle classification. The aim of this work is to reduce energy costs by improving the classification properties and reducing the pressure drop. In addition ...
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            Effizienzoptimierung mobilhydraulischer Load-Sensing-Systeme durch Reduzierung systembedingter Druckverluste am Beispiel eines Hydraulikbaggers 

            Siebert, Jan (2024)
            In this thesis, a hydraulic circuit will be developed, which can reduce the partial load losses of hydraulic-mechanic load-sensing systems (LS). As reference application, the LS system of an hydraulic excavator will be ...
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            Perspectives on warm conveyor belts - sensitivities to ensemble configuration and the role for forecast error 

            Pickl, Moritz (2023)
            Warm conveyor belts (WCBs) are weather systems that substantially modulate the large-scale extratropical circulation. As they can amplify forecast errors and project them onto the Rossby wave pattern, they are of high ...
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            Der Spröd-duktil-Übergang in ultrafeinkörnigem Wolfram 

            Bonnekoh, Carsten (2023)
            High brittle-ductile transition temperatures preclude the use of conventionally manufactured tungsten (W) as a structural material. Ultrafine grained (UFG) W materials, however, exhibit the brittle-ductile transition at ...
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            Dynamics of Rotors on Refrigerant-Lubricated Gas Foil Bearings 

            Leister, Tim (2021)
            The gas foil bearing (GFB) technology is a key factor for the transition to oil-free rotating machinery. Among numerous advantages, GFBs offer the unique ability to be lubricated with working fluids such as refrigerants. ...
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            Optical coherence tomography for characterization of nanocomposite materials 

            Schneider, Simon (2021)
            Major challenges in nanoparticle and nanocomposite development are the control of particle size and shape, and to achieve uniform particle dispersion. In this book, the application of optical coherence tomography (OCT) for ...
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            Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams 

            Frank, Matthias T. (2021)
            The rise of the Internet of Things leads to an unprecedented number of continuous sensor observations that are available as IoT data streams. Harmonization of such observations is a labor-intensive task due to heterogeneity ...
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            Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving 

            Kalb, Tobias Michael (2024)
            Deep learning excels at extracting complex patterns but faces catastrophic forgetting when fine-tuned on new data. This book investigates how class- and domain-incremental learning affect neural networks for automated ...
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            Zur Geschichte der Reedereigebaude an der Elbstrase bei der Alten Liebe in Cuxhaven seit den 1920er Jahren 

            Gleitsmann-Topp, Rolf-Jurgen (2020)
            This study will discuss the history of the creation, construction and use of three distinctive shipping company villas in the harbour of Cuxhaven/Germany, located south of the harbours lighthouse, near the Alte Liebe”. The ...
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            A computational multi-scale approach for brittle materials 

            Ernesti, Felix (2023)
            Materials of industrial interest often show a complex microstructure which directly influences their macroscopic material behavior. For simulations on the component scale, multi-scale methods may exploit this microstructural ...
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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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