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2,571 to 2,580 of 2,674 Results
May 28, 2020 - SFB-TRR 161 A02 "Quantifying Visual Computing Systems"
Bruder, Valentin; Müller, Christoph; Frey, Steffen; Ertl, Thomas, 2020, "Runtime performance measurements of interactive visualisation algorithms", https://doi.org/10.18419/DARUS-810, DaRUS, V1
Runtime performance measurements for GPU-based direct volume rendering and GPU-based raycasting of spherical particles on ten different discrete graphics processing units from AMD and NVIDIA. The data set at hand systematically evaluates typical factors influencing performance of interactive visualisations like view-port size, data set size, camera...
May 27, 2020 - Dennis Zink
Zink, Dennis, 2020, "Results and raw data of an adjustable similarity calculation for computer aided design (CAD) data", https://doi.org/10.18419/DARUS-813, DaRUS, V1
The here shown data results from a methodology for calculating the similarity of CAD parts. CAD parts are analyzed using various algorithms to find geometric features and discrete point cloud representations. The folder AnalyzedCADData contains a zip-file with the raw analyzed data of each part. All evaluated results can be found in folder Evaluati...
Dennis Zink(Universität Stuttgart)
May 21, 2020CAD-CAM
CAD-CAM(Universität Stuttgart)
May 21, 2020Institute of Aircraft Design
May 19, 2020 - B04: Hybrid discrete-continuum models for fractured porous media: model choice and random field/network generation
Reuschen, Sebastian; Xu, Teng; Nowak, Wolfgang, 2020, "Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC", https://doi.org/10.18419/DARUS-741, DaRUS, V1
This dataset contains the code and all relevant data and of the paper "Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC" by Sebastian Reuschen, Teng Xu and Wolfgang Nowak. Always cite the paper together with this dataset because this dataset is not self-explanatory. The code.tar.gz file conta...
May 18, 2020Bioinformatics
Supporting information and original files for bioinformatic investigations using the Glycoside Hydrolase 19 Engineering Database (https://gh19ed.biocatnet.de/)
SFB-TRR 161 A02 "Quantifying Visual Computing Systems" logo
May 14, 2020SFB/Transregio 161 "Quantitative Methods for Visual Computing"
The long-term goal of this project is to quantify visual computing systems, i.e.to assess, model and ultimately predict important characteristics that have a substantial impact on user experience.
SFB-TRR 161 INF "Collaboration Infrastructure"(Universität Stuttgart, Universität Konstanz)
SFB-TRR 161 INF "Collaboration Infrastructure" logo
May 14, 2020SFB/Transregio 161 "Quantitative Methods for Visual Computing"
Project INF supports the other projects of SFB/Transregio 161 by providing a central approach to data management and an infrastructure for virtual meetings in a large, high-resolution display scenario.
Apr 27, 2020
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