261 to 270 of 300 Results
May 26, 2021 - PN 6-4
Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2021, "NMTVis - Neural Machine Translation Visualization System", https://doi.org/10.18419/DARUS-1849, DaRUS, V1
NMTVis is a web-based visual analytics system to analyze, understand, and correct translations generated with neural machine translation. First, a document can be translated using a neural machine translation model (we support an LSTM-based and the Transformer architecture). Afterward, users can find mistranslated sentences, explore and correct the... |
May 21, 2021 - PN 4-4
Eschmann, Hannes, 2021, "A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot", https://doi.org/10.18419/DARUS-1845, DaRUS, V1
The intend of this data set is the cooperation within SimTech. It will be particularly interesting for data-based modeling and control which is a key area of the research of project network 4. We are proud to provide real-world data, which is essential for the benchmark of any data-based method. Additionally, we are able to provide reference soluti... |
May 10, 2021PN 4
Bridging the gap between theoretic research in distributed and learning-based model predictive control and multi-agent applications. |
May 4, 2021 - Publication: Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone
Balcewicz, Martin; Ruf, Matthias; Steeb, Holger; Saenger, Erik H., 2021, "Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone: SEM images", https://doi.org/10.18419/DARUS-1812, DaRUS, V1
The Ruhr sandstone is assigned to the Upper Carboniferous and is part of the Ruhr cyclothem located in North Rhine-Westphalia, which consists of clays, siltstones, mudstones, sandstones, and interbedded coal seams. The sediment was chemically and mechanically compacted, folded, and faulted during the Hercynian orogeny. The studied microstructure of... |
May 4, 2021 - Publication: Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone
Balcewicz, Martin; Ruf, Matthias; Steeb, Holger; Saenger, Erik H., 2021, "Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone: segmented subvolumes", https://doi.org/10.18419/DARUS-1435, DaRUS, V1
The Ruhr sandstone is assigned to the Upper Carboniferous and is part of the Ruhr cyclothem located in North Rhine-Westphalia, which consists of clays, siltstones, mudstones, sandstones, and interbedded coal seams. The sediment was chemically and mechanically compacted, folded, and faulted during the Hercynian orogeny. The studied microstructure of... |
May 4, 2021 - Publication: Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone
Ruf, Matthias; Balcewicz, Martin; Saenger, Erik H.; Steeb, Holger, 2021, "Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone: micro-XRCT data set", https://doi.org/10.18419/DARUS-1152, DaRUS, V1
The Ruhr sandstone is assigned to the Upper Carboniferous and is part of the Ruhr cyclothem located in North Rhine-Westphalia, which consists of clays, siltstones, mudstones, sandstones, and interbedded coal seams. The sediment was chemically and mechanically compacted, folded, and faulted during the Hercynian orogeny. The studied microstructure of... |
Mar 30, 2021 - micro X-ray computed tomography data sets of human femoral heads
Ruf, Matthias; Steeb, Holger; Gebert, Johannes; Schneider, Ralf; Helwig, Peter, 2021, "Sample 1 of human femoral heads: micro-XRCT data sets", https://doi.org/10.18419/DARUS-1177, DaRUS, V1
Data contains micro X-Ray Computed Tomography (micro-XRCT) data sets of an explanted femoral head. This specimen was donated by a male patient at the age of 74 and a bodyweight of 128 kg who received a hip endoprosthesis. Additional information was not given. The explantation took place in cooperation with Prof. Dr. Peter Helwig at the Clinic Heide... |
Mar 23, 2021 - PN 6-3
Holzmüller, David, 2021, "Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression", https://doi.org/10.18419/DARUS-1771, DaRUS, V1
This dataset contains code used to generate the figures in the paper On the Universality of the Double Descent Peak in Ridgeless Regression, David Holzmüller, International Conference on Learning Representations 2021. The code is also provided on GitHub. Here, we additionally provide the data that is generated by the code and that is required to ge... |
Mar 16, 2021PN 6
SimTech Project PN6-3 "Understanding Physical Constraints in Machine Learning for Simulation" |
Mar 12, 2021Stochastic Simulation and Safety Research for Hydrosystems (LS3)
This dataverse contains modeling data (percolation type) and comparison methods (codes) for the project models for gas migration in porous media. |