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1 to 10 of 57 Results
Nov 30, 2022 - demoa
Schmitt, Syn, 2022, "demoa-base: a biophysics simulator for muscle-driven motion", https://doi.org/10.18419/darus-2550, DaRUS, V4
For more information, such as installation, requirements and user guide, please see the demoa-manual.pdf
Nov 2, 2022 - PN 5-6
Praditia, Timothy; Karlbauer, Matthias; Otte, Sebastian; Oladyshkin, Sergey; Butz, Martin V.; Nowak, Wolfgang, 2022, "Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network", https://doi.org/10.18419/darus-3249, DaRUS, V1
This dataset contains diffusion-sorption data, generated with numerical simulation based on three different sorption isotherms, namely the linear, Freundlich, and Langmuir isotherms. This dataset is used to train, validate, and test all the deep learning models that are used in t...
Oct 6, 2022 - demoa
Hammer, Maria; Riede, Julia Maria; Meszaros-Beller, Laura; Schmitt, Syn, 2022, "gspine: A Human Spine Model Built Using Literature Data", https://doi.org/10.18419/darus-2814, DaRUS, V3
A fully articulating human spine model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. The model is prepared to run muscle-driven simulation using a simple biological motor control model. The file...
Oct 6, 2022 - demoa
Wochner, Isabell; Schmitt, Syn, 2022, "arm26: A Human Arm Model", https://doi.org/10.18419/darus-2871, DaRUS, V2
An arm model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. This arm26 model consists of a musculoskeletal model of the arm with two degrees of freedom actuated by six muscles. The model is prepar...
Oct 6, 2022 - demoa
Walter, Johannes R.; Wochner, Isabell; Jacob, Marc; Stollenmaier, Katrin; Lerge, Patrick; Schmitt, Syn, 2022, "allmin: A Reduced Human All-Body Model", https://doi.org/10.18419/darus-2982, DaRUS, V2
A reduced all-body model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. This allmin model consists of a musculoskeletal model of the human body with 20 degrees of freedom actuated by 36 muscles. T...
Aug 24, 2022 - PN 6
Holzmüller, David; Zaverkin, Viktor; Kästner, Johannes; Steinwart, Ingo, 2022, "Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v2]", https://doi.org/10.18419/darus-3110, DaRUS, V1
This dataset contains code and data for the second arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to reproduce the results, to benchmark new methods, or to apply the presented methods to new Deep Batch Ac...
Aug 5, 2022 - PN 7-6
Kneifl, Jonas; Hay, Julian; Fehr, Jörg, 2022, "Human Occupant Motion in Pre-Crash Scenario", https://doi.org/10.18419/darus-2471, DaRUS, V1
This dataset provides simulation results from a high-fidelity human body model in a pre-crash scenario as well as a surrogate model to approximate those simulation results. The high-fidelity results contain the motion of all points describing the occupant at certain points of tim...
PN 3-8(Universität Stuttgart)
Jul 5, 2022PN 3
Use of physically-based surrogate models to accelerate the optimization of classical force fields and development of new reduced order models for transport properties based on entropy scaling. Machine-learned models for transport properties will be developed with an increasing da...
Jun 27, 2022PN 2
Neck movement and injury risks during a car crash are influenced by reflexes, strength, and flexibility. Data sets are provided containing in-vivo measurements of neck kinematics and reflexes as participants are rapidly accelerated while driving a mechanically simulated car. Tors...
Jun 20, 2022 - PN 4-7
Baier, Alexandra; Staab, Steffen, 2022, "A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances", https://doi.org/10.18419/darus-2905, DaRUS, V1, UNF:6:Y083ZdO8GLwf/Iimyij+mQ== [fileUNF]
This dataset contains data of 125 1-hour simulations of ship motion during various sea states performing random maneuvers in 4 degrees of freedom (surge-sway-yaw-roll). The original ship is a patrol ship developed by Perez et al. [1]. We have extended it with a set of two symmetr...
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