101 to 110 of 5,569 Results
Mar 6, 2023 -
Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters"
ZIP Archive - 1.4 MB -
MD5: 01052b403a5baf507edfb9d7b0b4be80
Source code of the project with documentation to build the research prototype.
Also available at https://github.com/davidpomerenke/slope. |
Dec 20, 2022
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Dec 16, 2022 - Research Data Management of the SPP2170 'InterZell'
Rehnert, Martina; Takors, Ralf, 2022, "Data Management of a Biotechnology Network as a Contribution to FAIR Data Mangement", https://doi.org/10.18419/DARUS-829, DaRUS, V1
The Research Data Management Plan (RDMP) of the priority program SPP 2170 is the formal document that should help to mangage the handling of data. Since enormous amounts of research data (Big Data) will be generated, the exchange and access to the data should be ensured. Every experiment in the laboratory, or every simulation generates huge amounts... |
JPEG Image - 59.8 KB -
MD5: e5d221890b6d337816ad57dd4b63b393
Structure of data in SPP2170 |
Adobe PDF - 632.1 KB -
MD5: 41ea51bc559d4712fad05ea31bf0d047
Research Data Management Plan SPP 2170 |
Dec 16, 2022 - demoa
Wochner, Isabell; Schmitt, Syn, 2022, "MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks", https://doi.org/10.18419/DARUS-3268, DaRUS, V1
This code allows you reproduce the optimal control and model predictive control results of the paper: "Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks" by Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt and Daniel F.B. Haeufle. Always cite the paper together with this datase... |
Dec 16, 2022 -
MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks
Gzip Archive - 227.9 MB -
MD5: 89792d633142a824f2a9e151d84d1594
Code for model predictive control (MPC) and optimal control (OC) to control musculoskeletal models in demoa. Please read ReadMe to find a description how to reproduce the numerical experiments of the paper. |
Dec 16, 2022 -
MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks
Markdown Text - 4.7 KB -
MD5: 5cbff34b49a706365c6874dc64fb1239
This file describes how to use and install the necessary code. Please read it to find out how to reproduce the experiments from the paper. |
Dec 13, 2022Cluster of Excellence Integrative Computational Design and Construction for Architecture (EXC IntCDC)
AP11: Imperfection measurements on timber members at risk of buckling. |