Auflistung nach Titel

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  • Baumwurzeleinwuchs bei Geh- und Radwegen : Wirkung von Baustoffeigenschaften und Bauweisen auf die Durchwurzelbarkeit und Ansätze zur Schadenvorbeugung 
    Stengel, Verena (Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2016)
    [no abstract]
  • Bayesian active learning line sampling with log-normal process for rare-event probability estimation 
    Dang, Chao; Valdebenito, Marcos A.; Wei, Pengfei; Song, Jingwen; Beer, Michael (London [u.a.] : Elsevier Science, 2024)
    Line sampling (LS) stands as a powerful stochastic simulation method for structural reliability analysis, especially for assessing small failure probabilities. To further improve the performance of traditional LS, a Bayesian ...
  • Bayesian algorithms for mobile terminal positioning in outdoor wireless environments 
    Khalaf-Allah, Mohamed (Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2008)
    [no abstract]
  • A Bayesian Augmented-Learning framework for spectral uncertainty quantification of incomplete records of stochastic processes 
    Chen, Yu; Patelli, Edoardo; Edwards, Benjamin; Beer, Michael (Amsterdam [u.a.] : Elsevier, 2023)
    A novel Bayesian Augmented-Learning framework, quantifying the uncertainty of spectral representations of stochastic processes in the presence of missing data, is developed. The approach combines additional information ...
  • Bayesian Belief Network-based assessment of nutrient regulating ecosystem services in Northern Germany 
    Bicking, Sabine; Burkhard, Benjamin; Kruse, Marion; Müller, Felix (San Francisco : Public Library of Science, 2019)
    This study aims to assess the potential supply of the ecosystem service (ES) nutrient regulation on two spatial scales, the federal German state of Schleswig-Holstein (regional) and the Bornhöved Lakes District (local), ...
  • Bayesian inversion for unified ductile phase-field fracture 
    Noii, Nima; Khodadadian, Amirreza; Ulloa, Jacinto; Aldakheel, Fadi; Wick, Thomas; François, Stijn; Wriggers, Peter (Berlin, Heidelberg : Springer, 2021)
    The prediction of crack initiation and propagation in ductile failure processes are challenging tasks for the design and fabrication of metallic materials and structures on a large scale. Numerical aspects of ductile failure ...
  • Bayesian Inversion with Open-Source Codes for Various One-Dimensional Model Problems in Computational Mechanics 
    Noii, Nima; Khodadadian, Amirreza; Ulloa, Jacinto; Aldakheel, Fadi; Wick, Thomas; François, Stijn; Wriggers, Peter (Dordrecht [u.a.] ; Berlin ; Heidelberg : Springer, 2022)
    The complexity of many problems in computational mechanics calls for reliable programming codes and accurate simulation systems. Typically, simulation responses strongly depend on material and model parameters, where one ...
  • Bayesian network model for flood forecasting based on atmospheric ensemble forecasts 
    Goodarzi, Leila; Banihabib, Mohammad E.; Roozbahani, Abbas; Dietrich, Jörg (Göttingen : Copernicus, 2019)
    The purpose of this study is to propose the Bayesian network (BN) model to estimate flood peaks from atmospheric ensemble forecasts (AEFs). The Weather Research and Forecasting (WRF) model was used to simulate historic ...
  • Bayesian operational modal analysis of closely spaced modes for monitoring wind turbines 
    Jonscher, Clemens; Möller, Sören; Liesecke, Leon; Hofmeister, Benedikt; Grießmann, Tanja; Rolfes, Raimund (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2023)
    In this study, the applicability of Bayesian operational modal analysis (BAYOMA) to an operating onshore concrete-steel hybrid wind turbine tower is investigated. The results of the identification then provide reliable ...
  • Bayesian Robust Multivariate Time Series Analysis in Nonlinear Models with Autoregressive and t-Distributed Errors 
    Dorndorf, Alexander; Kargoll, Boris; Paffenholz, Jens-André; Alkhatib, Hamza (Basel : MDPI, 2021)
    Many geodetic measurement data can be modelled as a multivariate time series consisting of a deterministic (“functional”) model describing the trend, and a stochastic model of the correlated noise. These data are also often ...
  • Bayesian statistics for the calibration of the LISA Pathfinder experiment 
    Armano, M.; Audley, H.; Auger, G.; Binetruy, P.; Born, M.; Bortoluzzi, D.; Brandt, N.; Bursi, A.; Caleno, M.; Cavalleri, A.; Cesarini, A.; Cruise, M.; Danzmann, Karsten; Diepholz, I.; Dolesi, R.; Dunbar, N.; Ferraioli, L.; Ferroni, V.; Fitzsimons, E.; Freschi, M.; Marirrodriga, C.G.; Gerndt, R.; Gesa, L.; Gibert, F.; Giardini, D.; Giusteri, R.; Grimani, C.; Harrison, I.; Heinzel, G.; Hewitson, M.; Hollington, D.; Hueller, M.; Huesler, J.; Inchauspé, H.; Jennrich, O.; Jetzer, P.; Johlander, B.; Karnesis, N.; Kaune, B.; Korsakova, N.; Killow, C.; Lloro, I.; Maarschalkerweerd, R.; Madden, S.; Mance, D.; Martin, V.; Martin-Porqueras, F.; Mateos, I.; McNamara, P.; Mendes, J.; Mitchell, E.; Moroni, A.; Nofrarias, M.; Paczkowski, S.; Perreur-Lloyd, M.; Pivato, P.; Plagnol, E.; Prat, P.; Ragnit, U.; Ramos-Castro, J.; Reiche, J.; Perez, J.A.R.; Robertson, D.; Rozemeijer, H.; Russano, G.; Sarra, P.; Schleicher, A.; Slutsky, J.; Sopuerta, C.F.; Sumner, T.; Texier, D.; Thorpe, J.; Trenkel, C.; Tu, H.B.; Vitale, S.; Wanner, G.; Ward, H.; Waschke, S.; Wass, P.; Wealthy, D.; Wen, S.; Weber, W.; Wittchen, A.; Zanoni, C.; Ziegler, T.; Zweifel, P. (Bristol : Institute of Physics Publishing, 2015)
    The main goal of LISA Pathfinder (LPF) mission is to estimate the acceleration noise models of the overall LISA Technology Package (LTP) experiment on-board. This will be of crucial importance for the future space-based ...
  • Bayesian updating of soil-water character curve parameters based on the monitor data of a large-scale landslide model experiment 
    Feng, Chengxin; Tian, Bin; Lu, Xiaochun; Beer, Michael; Broggi, Matteo; Bi, Sifeng; Xiong, Bobo; He, Teng (Basel : MDPI AG, 2020)
    It is important to determine the soil-water characteristic curve (SWCC) for analyzing landslide seepage under varying hydrodynamic conditions. However, the SWCC exhibits high uncertainty due to the variability inherent in ...
  • Bayessches Transferlernen für die Semantische Segmentierung von Luftbildern 
    Vogt, Karsten (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2019)
    Diese Arbeit beschäftigt sich mit dem Problem der semantischen Segmentierung von Luftbildern in Landbedeckungsklassen. Maschinelle Lernverfahren bieten dabei sehr robuste Methoden zur Erzeugung von hochgenauen Klassifikatoren, ...
  • BCS pairing in a trapped dipolar Fermi gas 
    Baranov, M.A.; Dobrek, L.; Lewenstein, M. (Bristol : IOP Publishing Ltd., 2004)
    We present a detailed study of the BCS pairing transition in a trapped polarized dipolar Fermi gas. In the case of a shallow nearly spherical trap, we find a decrease in the transition temperature as a function of the trap ...
  • Be FAIR to your data 
    Solle, Dörte (Berlin ; Heidelberg : Springer, 2020)
    Wouldn’t it be great, if experimental data were findable wherever they were? If experimental data were accessible‚ regardless of the storage place and format? If experimental data were interoperable independent of the ...
  • Be[e] the Creative Food of Social Innovation 
    Fagnoni, Raffaella (Hannover : Regionales Bauen und Siedlungsplanung, Leibniz Universität Hannover, 2020)
    Three-fourths of the world’s flowering plants and about 35% of food crops depend on pollinators to reproduce: more than 3,500 species of native bees help humanity to increase farming yields. However, due to climate change ...
  • Beam extraction using non vacuum electron beam by reduced acceleration voltage 
    Hassel, T.; Klimov, G.; Beniyash, A. (Bristol : Institute of Physics Publishing, 2018)
    One of the disadvantages of the non-vacuum electron beam (NVEB) systems is a high acceleration voltage, which leads to an increase of defence against X-ray radiation. Due to the reduced acceleration voltage. On the one ...
  • Beam pre-shaping methods using lenslet arrays for area-based high-resolution vehicle headlamp systems 
    Li, Yang; Knöchelmann, Marvin; Lachmayer, Roland (Basel : Molecular Diversity Preservation International (MDPI), 2020)
    High-resolution light distributions are lately in demand for vehicle headlamp systems as an innovative lighting approach. This lighting approach can realize functionalities, such as precise glare avoidance and on-road ...
  • Beanspruchung von Kupplungskörpern 
    Pfeifer, Bernd (Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2018)
    [no abstract]
  • Becoming an author 
    Brehm, Elke (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2016-11-01)
    Presentation on copyright law and open access for scientific authors.