1 to 10 of 3,558 Results
Nov 5, 2026 - Collaborative Artificial Intelligence
Elfares, Mayar, 2026, "Data for Gaze3P: Gaze-Based Prediction of User-Perceived Privacy", https://doi.org/10.18419/DARUS-6349, DaRUS, V1
Based on the paper: 'Gaze3P: Gaze-Based Prediction of User-Perceived Privacy'. Eye Tracking data collected with the EyeLink eye-tracker. Type of data: The Gaze3P dataset contains multimodal experimental data, combining three principal categories: - Eye-tracking data: Gaze coordinates, fixations, saccades and pupil size. Measures visual attention an... |
Nov 4, 2026 - Institute of Applied Analysis and Numerical Simulation
Lipparini, Filippo; Dusson, Geneviève; Mazzeo, Patrizia; Polack, Étienne; PES, FEDERICA; Askarpour, Zahra; Nottoli, Michele; Stamm, Benjamin, 2026, "Replication Data for: Comment on “Grassmann extrapolation via direct inversion in the iterative subspace” [J. Chem. Phys. 163, 144114 (2025)]", https://doi.org/10.18419/DARUS-6307, DaRUS, V2
This archive contains all the necessary information to perform the numerical simulations and to generate the plots and tables included in the manuscript. In this comment, we consider extrapolation schemes for the electronic density matrix for density functional theory calculations. We show that the extrapolation scheme presented in [J. Chem. Phys.... |
Nov 3, 2026 - MUnitQuest Algorithm Challenge
Klotz, Thomas; Mamidanna, Pranav; Brandenburg, Paul; Farina, Dario; Röhrle, Oliver, 2026, "MUnitQuest Showdown Data for the Isometric Task", https://doi.org/10.18419/DARUS-6663, DaRUS, V1, UNF:6:crzMVk8wVtWIFUXRDrD/DA== [fileUNF]
This dataset contains high-density surface electromyography (HDsEMG) recordings from the Isometric Task during the MUnitQuest Showdown phase. MUnitQuest is a community-driven competition on motor unit identification methods. The data and metadata of each recording follow the standardized EMG-BIDS format. This dataset contains 100 HD-EMG recordings... |
Nov 3, 2026 - MUnitQuest Algorithm Challenge
Klotz, Thomas; Mamidanna, Pranav; Brandenburg, Paul; Farina, Dario; Röhrle, Oliver, 2026, "MUnitQuest Showdown Data for the Dynamic Task", https://doi.org/10.18419/DARUS-6664, DaRUS, V1, UNF:6:3joPtHpoWqgretdnWGxHbg== [fileUNF]
This dataset contains high-density surface electromyography (HDsEMG) recordings from the Dynamic Task during the MUnitQuest Showdown phase. MUnitQuest is a community-driven competition on motor unit identification methods. The data and metadata of each recording follow the standardized EMG-BIDS format. This dataset contains 50 HD-EMG recordings acr... |
Nov 3, 2026 - EXC IntCDC Research Project 12 'Computational Co-Design Framework for Fibre Composite Building Systems'
Kannenberg, Fabian; Forster, David; Bischoff, Manfred; Menges, Achim, 2026, "ABxM.RedundancyExplorer: Agent-Based Design Space Exploration of Truss and Beam Structures with Learned Policies", https://doi.org/10.18419/DARUS-6513, DaRUS, V1
ABxM.RedundancyExplorer is the Rhino/Grasshopper version of the Redundancy Explorer, built as an add-on to the ABxM agent-based modeling framework. Truss and beam structures are analyzed with the redundancy matrix interactively, and node agents optimize the redundancy distribution with a gradient expert, a learned topology-agnostic graph neural net... |
Kannenberg, Fabian; Forster, David; Bischoff, Manfred; Menges, Achim, 2026, "Redundancy Explorer: Interactive Browser Application for Design Space Exploration Guided by Redundancy Matrices", https://doi.org/10.18419/DARUS-6512, DaRUS, V1
Redundancy Explorer is an interactive browser application for exploring structural design spaces guided by redundancy matrices. Users can drag nodes, edit the topology, or let an optimizer or a learned policy reshape a truss or beam structure, and see in real time how the redundancy redistributes across its elements. The redundancy matrix is comput... |
Kannenberg, Fabian; Forster, David; Bischoff, Manfred; Menges, Achim, 2026, "JaxRedMat: JAX-Accelerated Computation of Redundancy Matrices for Truss and Beam Structures", https://doi.org/10.18419/DARUS-6511, DaRUS, V1
JaxRedMat is a Python library for computing redundancy matrices of truss and beam structures in JAX. The redundancy matrix describes the distribution of static indeterminacy in a structure; its main diagonal gives the degree of redundancy of each load-carrying mode and sums to the degree of static indeterminacy. The library provides implementations... |
Nov 3, 2026SFB-TRR 364 Synergies of Highly Integrated Transport Aircraft - SynTrac
Flowcontrol by Morphing for Future Propulsion Systems |
Nov 3, 2026SFB-TRR 364 Synergies of Highly Integrated Transport Aircraft - SynTrac
Cabin Noise of Integrated and Distributed Propulsion |
Nov 2, 2026 - QUASAR (QUick and Assured system of Systems development with dAta-driven suRrogate models)
Kajolli, Jonida; Varchev, Tihomir; Staudacher, Stephan, 2026, "Data for: "Machine Learning Based Virtual Sensor for the Shaft Torque during Helicopter Flight: Definition, Optimization and Uncertainty Analysis"", https://doi.org/10.18419/DARUS-6655, DaRUS, V1
This dataset contains surrogate data of a helicopter turboshaft engine for nominal and degraded engine states. It covers hover and dynamic flight phases as well as transitions from hover to dynamic flight and transitions from dynamic to hover flight. The dataset is used for the training and testing of the machine learning based virtual sensor for t... |
