161 to 170 of 349 Results
Sep 6, 2023 - Surrogate models for groundwater flow simulations
Pelzer, Julia, 2023, "Dataset: Two Heat Pumps Simulation - Raw, 1000 Data Points", https://doi.org/10.18419/DARUS-3652, DaRUS, V1
This data set serves as training data for modelling the temperature field emanating from two groundwater heat pumps (one fixed, one randomly placed). It is simulated with Pflotran and saved in h5 format. It contains 1000 data points, each consisting of one simulation run until a near steady state is reached. Each datapoint measures 1250 m x 2560 m... |
Sep 6, 2023 - Surrogate models for groundwater flow simulations
Pelzer, Julia, 2023, "Dataset: Two Heat Pumps Simulation - Raw, 100 Data Points", https://doi.org/10.18419/DARUS-3651, DaRUS, V1
This data set serves as training data for modelling the temperature field emanating from two groundwater heat pumps (one fixed, one randomly placed). It is simulated with Pflotran and saved in h5 format. It contains 100 data points, each consisting of one simulation run until a near steady state is reached. Each datapoint measures 1250 m x 2560 m w... |
Sep 6, 2023 - Surrogate models for groundwater flow simulations
Pelzer, Julia, 2023, "Dataset: Single Heat Pump Simulation - Raw, 1000 Data Points", https://doi.org/10.18419/DARUS-3650, DaRUS, V1
This data set serves as training data for modelling the temperature field emanating from a groundwater heat pump. It is simulated with Pflotran and saved in h5 format. It contains 1000 data points, each consisting of one simulation run until a near steady state is reached. Each datapoint measures 100 m x 1280 m with 20 x 256 cells. The varying para... |
Sep 6, 2023 - Surrogate models for groundwater flow simulations
Pelzer, Julia, 2023, "Dataset: Single Heat Pump Simulation - Raw, 100 Data Points", https://doi.org/10.18419/DARUS-3649, DaRUS, V1
This data set serves as training data for modelling the temperature field emanating from a groundwater heat pump. It is simulated with Pflotran and saved in h5 format. It contains 100 data points, each consisting of one simulation run until a near steady state is reached. Each datapoint measures 100 m x 1280 m with 20 x 256 cells. The varying param... |
Aug 2, 2023 - Computational Cognitive Science
Skukies, René, 2023, "2023 CCN Time Window Project Code", https://doi.org/10.18419/DARUS-3635, DaRUS, V1
Notebooks/ scripts used for the time window project done for our CCN contribution in 2023. The notebooks will simulate EEG data based on a known "ground truth" ERP and test whether the estimation length during ERP activity estimation will have an Influence on the results. To get a first impression why this is important please have a look at our onl... |
Jul 25, 2023 - PN 4-4
Rosenfelder, Mario; Ebel, Henrik; Eberhard, Peter, 2023, "Experiment Videos of a Force-Based Organization and Control Scheme for the Non-Prehensile Cooperative Transportation of Objects", https://doi.org/10.18419/DARUS-3611, DaRUS, V1
The videos provided show experimental results of the cooperative object transportation using mobile robots with on-board force control. In particular, the mobile robots shall transport four different polygonal, but non-convex, objects along predefined paths. The distributed formation synthesis explicitly takes the robots' maximum pushing force into... |
Jul 25, 2023 - PN 6-4
Schäfer, Noel; Tilli, Pascal; Munz-Körner, Tanja; Künzel, Sebastian; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel, 2023, "Model Parameters and Evaluation Data for our Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/DARUS-3597, DaRUS, V1
Pretrained model parameters and pregenerated evaluation data for our visual analysis system for scene-graph-based visual question answering (https://doi.org/10.18419/darus-3589). |
Jul 25, 2023 - PN 6-4
Munz-Körner, Tanja; Künzel, Sebastian; Weiskopf, Daniel, 2023, "Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"", https://doi.org/10.18419/DARUS-3456, DaRUS, V1
Supplemental material for the poster "Visual-Explainable AI: The Use Case of Language Models" published at the International Conference on Data-Integrated Simulation Science 2023. Collection of videos and images showing our interactive visualization systems for exploring language models: - Text classification (https://github.com/MunzT/hiddenStatesV... |
