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1 to 10 of 11 Results
data.tar.gz
Aug 24, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v2]
Gzip Archive - 1011.3 MB - MD5: 2b34cf7ecdb8fa51046ade430586c22e
Compressed folder containing downloaded raw and processed data sets as generated by download_data.py at the time of running the experiments.
simulation_data.h5
Aug 5, 2022 - Human Occupant Motion in Pre-Crash Scenario
Hierarchical Data Format - 7.3 GB - MD5: 123b61a23d5fb606dba5dd66f4bd8a48
Data
data.tar.gz
Apr 13, 2022 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1]
Gzip Archive - 1011.3 MB - MD5: 2b34cf7ecdb8fa51046ade430586c22e
Compressed folder containing downloaded raw and processed data sets as generated by download_data.py at the time of running the experiments.
Neweul_theory_multibodysystems.pdf
Mar 29, 2022 - Case Study Database for: Documenting Research Software in Engineering Science
Adobe PDF - 190.8 KB - MD5: 61757a5740980160e929fbabf017199e
Theory of multibody systems computed with Neweul (German).
Notes_Dumux_Workshop.pdf
Mar 29, 2022 - Case Study Database for: Documenting Research Software in Engineering Science
Adobe PDF - 25.7 KB - MD5: 6b75356b0905740ef03247b042e4f23c
Feedback from external research software developers during a workshop on what could be improved in the documentation.
Notes.pdf
Mar 29, 2022 - Case Study Database for: Documenting Research Software in Engineering Science
Adobe PDF - 5.9 MB - MD5: b0f7a3692297abeff3fe4b0fed95cceb
Scan of handwritten unstructured notes with thoughts and ideas (German).
Notes_Precice_interview.pdf
Mar 29, 2022 - Case Study Database for: Documenting Research Software in Engineering Science
Adobe PDF - 184.4 KB - MD5: b20fb315df4b6d260738e7ee61191656
Findings from the interviews with Precice Research Software Engineers.
Notes_ResearchQuestion.pdf
Mar 29, 2022 - Case Study Database for: Documenting Research Software in Engineering Science
Adobe PDF - 13.9 KB - MD5: 1dc658e96b682afaac38327a91afc364
Initial reflections and findings on the research question (German).
messung1.mat
May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot
MATLAB Data - 754.8 KB - MD5: 77f69e59ded4a67acc231c28e451b569
training data set 1
messung2.mat
May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot
MATLAB Data - 745.8 KB - MD5: 104873a233e7f2a7126c88073fa3aa22
training data set 2
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