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Treffer: 42
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Monographie
Efficient Reinforcement Learning using Gaussian Processes
Marc Peter Deisenroth
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Monographie
Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications
Marco Huber
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Monographie
An Update Algorithm for Restricted Random Walk Clusters
Markus Franke
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Monographie
Probabilistic Framework for Sensor Management
Marco Huber
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Monographie
Probabilistische Planungsverfahren für die deflektometrische Oberflächeninspektion
Masoud Roschani
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Monographie
Palm theory, mass transports and ergodic theory for group-stationary processes
Daniel Sebastian Gentner
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Monographie
Some weak limit laws for the diameter of random point sets in bounded regions
Wei Lao
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Monographie
Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation
Stephan Rhode
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Monographie
Probabilistic Parametric Curves for Sequence Modeling
Ronny Hug
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Monographie
Data-driven Methods for Fault Localization in Process Technology
Christian Kühnert
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Monographie
Umgebungskartenschätzung aus Sidescan-Sonardaten für ein autonomes Unterwasserfahrzeug
Philipp Woock
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Monographie
Efficient Radar Forward Operator for Operational Data Assimilation within the COSMO-model
Yuefei Zeng
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Monographie
Objective identification and climatology of mesoscale high-wind features within extratropical cyclones
Lea Andrea Eisenstein
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Monographie
Nonlinear state and parameter estimation of spatially distributed systems
Felix Sawo
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Monographie
Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning
Adam Thor Thorgeirsson
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Monographie
Radar Forward Operator for Verification of Cloud Resolving Simulations within the COSMO Model
Dorit Jerger
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Monographie
Near-critical and supercritical hydrothermal flow synthesis of metal oxide nanoparticles and hybrid metal oxide nanoparticles presenting clickable anchors
Maren Daschner de Tercero
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Monographie
Modeling of Dislocation - Grain Boundary Interactions in Gradient Crystal Plasticity Theories
Hannes Erdle
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Monographie
Speckle Reduction in Projection Systems
Falko Riechert
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Monographie
Heat kernel estimates and L p -spectral theory of locally symmetric spaces
Andreas Weber
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Monographie
High-resolution sensitivity studies with the regional climate model COSMO-CLM
Cathérine Meißner
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Monographie
On multi-scale modeling of fatigue in short glass fiber reinforced thermoplastics
Patrick Arthur Hessman
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Monographie
Optimal Sequence-Based Control of Networked Linear Systems
Jörg Fischer
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Monographie
User Interfaces to the Web of Data based on Natural Language Generation
Basil Ell
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Monographie
Microstructure generation and micromechanical modeling of sheet molding compound composites
Johannes Görthofer
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Monographie
Hagelgefährdung und Hagelrisiko in Deutschland basierend auf einer Kombination von Radardaten und Versicherungsdaten
Manuel Schmidberger
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Monographie
Preisentscheidungen in sequenziell gekoppelten Privathandels- und Double-Auction-Märkten ; Eine experimentelle Untersuchung
Fabian Lemke
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Monographie
Modellfreies Lernen optimaler zeitdiskreter Regelungsstrategien für Fertigungsprozesse mit endlichem Zeithorizont
Johannes Dornheim
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Monographie
Driver Behavior Analysis and Decision-Making for Autonomous Driving at Non-Signalized Inner City Intersections
Hannes Weinreuter
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Monographie
Methode zur Analyse von raumrelevanten Prozessen in Entwicklungsländern: Das Beispiel des Küstenraums von Benin = Méthode d'analyse de processus spatiaux dans les pays en développement: l'exemple de la zone côtière du Bénin
Sèmadégbé Oscar Teka
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Generation of artificial training data forspectral unmixing by modelling spectralvariability using Gaussian random variables
Michael Heizmann, Johannes Anastasiadis
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Machine learning for estimating parametersof a convective-scale model: A comparisonof neural networks and random forests
Eyke Hüllermeier, Mohammad H. Shaker, Tijana Janjic, Stefanie Legler
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Method Development for Spatially Resolved Detection of Adulterated Minced Meat
Tilman Sauerwald, Thorsten Tybussek, Isik Türkmen, Ervienatasia Djaw
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Potential of Ensemble Copula Coupling for Wind Power Forecasting
Ralf Mikut, Veit Hagenmeyer, Nicole Ludwig, Kaleb Phipps
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Quick-and-Dirty Computation of Voigt Profiles, Classification of Their Shapes, and Effective Determination of the Shape Parameter
Oliver Lischtschenko, Achim Kehrein
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Towards many-class classification of materials
based on their spectral fingerprints
Jürgen Beyerer, Matthias Richter
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Benefiting from quantum? A comparative study of Q-Seg, quantum-inspired techniques, and U-Net for crack segmentation
Alil Moghiseh, Maximilian Kiefer-Emmanouilidis, Antonio Macaluso, Alexander Geng, Akshaya Srinivasan
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Nonlinear Modeling and Control of 3-DOFGyroscope Actuated Furuta Pendulum byTakagi-Sugeno Fuzzy Systems
Horst Schulte, Heide Brandtstädter, Vincent Vellguth, Nis Keilhauer, Johannes Brunner
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Semantic segmentation with small training datasets: A case study for corrosion detection on the surface of industrial objects
Boris Jutzi, Steven Landgraf, Markus Ulrich, Patrick Hübner, Dennis Haitz
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Spectral imaging in process analytics usingchemometrics and first principles
R. W. Kessler, W. Kessler, B. Boldrini, E. Ostertag, S. Luckow-Markward
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Developing a handheld NIR sensor for thedetection of ripening in grapevine
Anna Kicherer, Reinhard Töpfer, Robin Gruna, Felix Kronenwett, Xiaorong Zheng, Julius Krause, Lucie Gebauer
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An overview of implementing Multispectral Imaging coupled with machine learning for the assessment of microbiological quality and authenticity in foods
George-John Nychas, Fady Mohareb, Yimin Zhang, Jens Michael Carstensen, Nette Schultz, Lemonia-Christina Fengou, Anastasia Lytou