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1 to 5 of 5 Results

Data for: Transforming Laser-Scanned 750 kW Turbine Surface Geometry Data into Smooth CAD for CFD Simulations Feb 14, 2024 - Institute of Aerodynamics and Gas Dynamics Gagnon, Louis; Lutz, Thorsten, 2024, "Data for: Transforming Laser-Scanned 750 kW Turbine Surface Geometry Data into Smooth CAD for CFD Simulations", https://doi.org/10.18419/darus-3859, DaRUS, V1 Note for access: The data is available to anyone interested, but in order to monitor access, we ask that interested users request access by logging in by using the account of their academic institution, selecting the files they want, and clicking "Request Access" If you do not ha...
Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs Sep 27, 2023 - Quantum Computing @IAAS Mandl, Alexander; Barzen, Johanna; Leymann, Frank; Mangold, Victoria; Riegel, Benedikt; Vietz, Daniel; Winterhalter, Felix, 2023, "Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs", https://doi.org/10.18419/darus-3445, DaRUS, V1 Replication code for training Quantum Neural Networks using entangled datasets. This is the version of the code that was used to generate the experiment results in the related publication. For future developments and discussion see the Github repository. Experiments: avg_rank_exp...
Data Repository for: On Reducing the Amount of Samples Required for Training of QNNs Sep 27, 2023 - Quantum Computing @IAAS Mandl, Alexander; Barzen, Johanna; Leymann, Frank; Mangold, Victoria; Riegel, Benedikt; Vietz, Daniel; Winterhalter, Felix, 2023, "Data Repository for: On Reducing the Amount of Samples Required for Training of QNNs", https://doi.org/10.18419/darus-3442, DaRUS, V1 Simulation experiment data for training Quantum Neural Networks (QNNs) using entangled datasets. The experiments investigate the validity of the lower bounds for the expected risk after training QNNs given by the extensions to the Quantum No-Free-Lunch theorem presented in the re...
Replication Data for: Survival analysis of tensile strength variation and simulated length-size effect along oak boards Jun 28, 2021 - Publications Tapia Camú, Cristóbal; Aicher, Simon, 2021, "Replication Data for: Survival analysis of tensile strength variation and simulated length-size effect along oak boards", https://doi.org/10.18419/darus-864, DaRUS, V2, UNF:6:C43cTFx3ny8kNxl+93ca+g== [fileUNF] Dataset used to develop and calibrate the model for localized tensile strength along oak boards. A survival (or censored) analysis is performed on the cell-wise tensile strength of boards, which delivers coefficients for two different candidate distributions: (i) Beta and (ii) 3-...
Replication Data for: Simulation of the localized modulus of elasticity of hardwood boards by means of an autoregressive model Dec 15, 2020 - Publications Tapia Camú, Cristóbal; Aicher, Simon, 2020, "Replication Data for: Simulation of the localized modulus of elasticity of hardwood boards by means of an autoregressive model", https://doi.org/10.18419/darus-863, DaRUS, V2, UNF:6:3jJ2Tj1s/C8WfiVWORPRtw== [fileUNF] This repository contains the global and localized data gathered for a set of 52 oak boards with a cross-section of 175 x 24 mm. Modulus of elasticity, density and knot information were recorded.

Data for: Transforming Laser-Scanned 750 kW Turbine Surface Geometry Data into Smooth CAD for CFD Simulations

Feb 14, 2024 - Institute of Aerodynamics and Gas Dynamics

Gagnon, Louis; Lutz, Thorsten, 2024, "Data for: Transforming Laser-Scanned 750 kW Turbine Surface Geometry Data into Smooth CAD for CFD Simulations", https://doi.org/10.18419/darus-3859, DaRUS, V1

Note for access: The data is available to anyone interested, but in order to monitor access, we ask that interested users request access by logging in by using the account of their academic institution, selecting the files they want, and clicking "Request Access" If you do not ha...

Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs

Sep 27, 2023 - Quantum Computing @IAAS

Mandl, Alexander; Barzen, Johanna; Leymann, Frank; Mangold, Victoria; Riegel, Benedikt; Vietz, Daniel; Winterhalter, Felix, 2023, "Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs", https://doi.org/10.18419/darus-3445, DaRUS, V1

Replication code for training Quantum Neural Networks using entangled datasets. This is the version of the code that was used to generate the experiment results in the related publication. For future developments and discussion see the Github repository. Experiments: avg_rank_exp...

Data Repository for: On Reducing the Amount of Samples Required for Training of QNNs

Sep 27, 2023 - Quantum Computing @IAAS

Mandl, Alexander; Barzen, Johanna; Leymann, Frank; Mangold, Victoria; Riegel, Benedikt; Vietz, Daniel; Winterhalter, Felix, 2023, "Data Repository for: On Reducing the Amount of Samples Required for Training of QNNs", https://doi.org/10.18419/darus-3442, DaRUS, V1

Simulation experiment data for training Quantum Neural Networks (QNNs) using entangled datasets. The experiments investigate the validity of the lower bounds for the expected risk after training QNNs given by the extensions to the Quantum No-Free-Lunch theorem presented in the re...

Replication Data for: Survival analysis of tensile strength variation and simulated length-size effect along oak boards

Jun 28, 2021 - Publications

Tapia Camú, Cristóbal; Aicher, Simon, 2021, "Replication Data for: Survival analysis of tensile strength variation and simulated length-size effect along oak boards", https://doi.org/10.18419/darus-864, DaRUS, V2, UNF:6:C43cTFx3ny8kNxl+93ca+g== [fileUNF]

Dataset used to develop and calibrate the model for localized tensile strength along oak boards. A survival (or censored) analysis is performed on the cell-wise tensile strength of boards, which delivers coefficients for two different candidate distributions: (i) Beta and (ii) 3-...

Replication Data for: Simulation of the localized modulus of elasticity of hardwood boards by means of an autoregressive model

Dec 15, 2020 - Publications

Tapia Camú, Cristóbal; Aicher, Simon, 2020, "Replication Data for: Simulation of the localized modulus of elasticity of hardwood boards by means of an autoregressive model", https://doi.org/10.18419/darus-863, DaRUS, V2, UNF:6:3jJ2Tj1s/C8WfiVWORPRtw== [fileUNF]

This repository contains the global and localized data gathered for a set of 52 oak boards with a cross-section of 175 x 24 mm. Modulus of elasticity, density and knot information were recorded.

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