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101 Publications visible to you, out of a total of 101

OpenGL® API-Based Analysis of Large Datasets in a Cloud Environment

Data Mining and Uncertainty Quantification

Abstract

Not specified

Authors: Wolfgang Mexner, Matthias Bonn, Andreas Kopmann, Viktor Mauch, Doris Ressmann, Suren A. Chilingaryan, Nicholas Tan Jerome, Thomas Van De Kamp, Vincent Heuveline, Philipp Lösel, et al.

Date Published: 2018

Publication Type: Journal

DOI: 10.4018/978-1-5225-2785-5.ch006

Citation: Design and Use of Virtualization Technology in Cloud Computing,pp.161-181,IGI Global

Created: 7th Sep 2019 at 10:40, Last updated: 5th Mar 2024 at 21:23

Dielectrophoretic force-driven convection in annular geometry under Earth’s gravity

Data Mining and Uncertainty Quantification

Abstract

Not specified

Authors: Torsten Seelig, Antoine Meyer, Philipp Gerstner, Martin Meier, Marcel Jongmanns, Martin Baumann, Vincent Heuveline, Christoph Egbers

Date Published: 2018

Publication Type: Journal

Citation: arXiv preprint arXiv:1812.05460

Created: 7th Sep 2019 at 12:08, Last updated: 5th Mar 2024 at 21:23

OpenGL@API-Based Analysis of Large Datasets in a Cloud Environment

Data Mining and Uncertainty Quantification

Abstract

Not specified

Authors: Wolfgang Mexner, Matthias Bonn, Andreas Kopmann, Viktor Mauch, Doris Ressmann, Suren A Chilingaryan, Nicholas Tan Jerome, Thomas van de Kamp, Vincent Heuveline, Philipp Lösel

Date Published: 2018

Publication Type: InCollection

Citation: In Design and Use of Virtualization Technology in Cloud Computing, pp. 161–181, IGI Global

Created: 7th Sep 2019 at 12:08, Last updated: 5th Mar 2024 at 21:23

Nested Schur-Complement Solver for a Low-Mach Number Model: Application to a Cyclone-Cyclone Interaction

Data Mining and Uncertainty Quantification

Abstract

Not specified

Authors: Simon Gawlok, Vincent Heuveline

Date Published: 2018

Publication Type: Journal

DOI: 10.11588/emclpp.2018.02.56653

Citation: Preprint Series of the Engineering Mathematics and Computing Lab, vol. 0(02)

Created: 7th Sep 2019 at 12:08, Last updated: 5th Mar 2024 at 21:23

Learning model discrepancy of an electric motor with Bayesian inference

Data Mining and Uncertainty Quantification

Abstract

Not specified

Authors: David John, Michael Schick, Vincent Heuveline

Date Published: 2018

Publication Type: Journal

DOI: 10.11588/emclpp.2018.1.51320

Citation: Preprint Series of the Engineering Mathematics and Computing Lab, vol. 0(01)

Created: 7th Sep 2019 at 12:08, Last updated: 5th Mar 2024 at 21:23

Bayesian inference for estimating model discrepancy of an electric motor

Data Mining and Uncertainty Quantification

Abstract

Not specified

Authors: David John, Michael Schick, Vincent Heuveline

Date Published: 2018

Publication Type: Journal

Citation: PAMM, 18(1):1–2

Created: 7th Sep 2019 at 12:08, Last updated: 5th Mar 2024 at 21:23

The NOVA project: maximizing beam time efficiency through synergistic analyses of SRμCT data

Data Mining and Uncertainty Quantification

Abstract

Not specified

Authors: Sebastian Schmelzle, Thomas van de Kamp, Michael Heethoff, Vincent Heuveline, Philipp Lösel, Jürgen Becker, Felix Beckmann, Frank Schluenzen, Jörg U. Hammel, Andreas Kopmann, Wolfgang Mexner, Matthias Vogelgesang, Nicholas T. Jerome, Oliver Betz, Rolf Beutel, Benjamin Wipfler, Alexander Blanke, Steffen Harzsch, Marie Hörnig, Tilo Baumbach

Date Published: 7th Sep 2017

Publication Type: InProceedings

DOI: 10.1117/12.2275959

Citation: Developments in X-Ray Tomography XI,p.24,SPIE

Created: 7th Sep 2019 at 10:54, Last updated: 5th Mar 2024 at 21:23

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