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Ergebnis der Suche nach: tit all "Models of Data"
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Online Ressourcen 1 Analysis of data‐driven models for predicting fatigue strength of steel components with uncertainty quantification
Frie, Christian. - Freiburg : Universität, 2024
Online Ressource
Online Ressourcen 2 Assessing, evaluating, and applying canopy models of urban vegetation from satellite-based height data
Schreyer, Johannes. - Berlin : Humboldt-Universität zu Berlin, 2024
Online Ressource
Online Ressourcen 3 Assessment of NA-CORDEX regional climate models, reanalysis and in situ gridded‐observational data sets against the U.S. Climate Reference Network
SY, Souleymane. - Augsburg : Universität Augsburg, 2024
Online Ressource
Online Ressourcen 4 Global Flow of Funds Analysis
Zhang, Nan. - Singapore : Springer Nature Singapore, Imprint: Springer, 2024, 1st ed. 2024
Online Ressource
Online Ressourcen 5 Global groundwater droughts are more severe than they appear in hydrological models: an investigation through a Bayesian merging of GRACE and GRACE-FO data with a water balance model
Forootan, Ehsan. - Augsburg : Universität Augsburg, 2024
Online Ressource
Online Ressourcen 6 Life events and life satisfaction : Estimating effects of multiple life events in combined models
Krämer, Michael. - Berlin : Deutsches Institut für Wirtschaftsforschung (DIW), 2024
Online Ressource
Online Ressourcen 7 Sensitivity of phyto-geocentric site productivity models to spatial extent and climate data aggregation
Burggraef, Levent Sebastian. - Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2024
Online Ressource
Online Ressourcen 8 Unique identification of stiffness parameters in hyperelastic models for anisotropic, deformable, thin materials based on a single experiment
Makhool, Lubna. - Bochum : Ruhr-Universität Bochum, 2024
Online Ressource
Online Ressourcen 9 Web-based data visualization in support of agent-based microsimulation models
Charlton, William. - Berlin : Technische Universität Berlin, 2024
Online Ressource
Artikel 10 Anticipating a risky future: long short-term memory (LSTM) models for spatiotemporal extrapolation of population data in areas prone to earthquakes and tsunamis in Lima, Peru
Enthalten in Natural hazards and earth system sciences Bd. 24, 2024, Nr. 3: 1051-1064. 14 S.
Online Ressource


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