Institute of Combustion Technology for Aerospace Engineering

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11 to 14 of 14 Results

Jose et al. MLST 2025 - Code, Data and Models Nov 20, 2025 - Jose et al. MLST 2025 Soot detection Jose, Basil; Geigle, Klaus Peter; Hampp, Fabian, 2025, "Jose et al. MLST 2025 - Code, Data and Models", https://doi.org/10.18419/DARUS-5512, DaRUS, V1 This dataset hosts the code, data and models needed for replication of the work mentioned in Jose et al. MLST 2025. In the paper, an ablation study is conducted to delineate the effects of domain randomisation parameters of synthetically generated training data on the segmentation accuracy. The best model is used to extract high-level statistics fr...
Code for training and using the soot (instance) segmentation models Oct 31, 2025 - Soot segmentation Jose, Basil; Geigle, Klaus Peter; Hampp, Fabian, 2025, "Code for training and using the soot (instance) segmentation models", https://doi.org/10.18419/DARUS-5184, DaRUS, V2 This dataset contains the necessary code for using our soot (instance) segmentation model used for segmenting soot filaments from PIV (Mie scattering) images. In the corresponding paper, an ablation study is conducted to delineate the effects of domain randomisation parameters of synthetically generated training data on the segmentation accuracy. T...
Code for using and training spray segmentation models Feb 27, 2025 - Spray Segmentation Jose, Basil; Hampp, Fabian, 2025, "Code for using and training spray segmentation models", https://doi.org/10.18419/DARUS-4739, DaRUS, V1 This dataset contains the necessary code for using our spray segmentation model used in the paper, ML-based semantic segmentation for quantitative spray atomization description. See README for more information.
Code for training and using the droplet segmentation models Jul 2, 2024 - Spray Segmentation Jose, Basil; Hampp, Fabian, 2024, "Code for training and using the droplet segmentation models", https://doi.org/10.18419/DARUS-4147, DaRUS, V1 This dataset contains the necessary code for using our spray segmentation model used in the paper, Machine learning based spray process quantification. More information can be found in the README.md.

Jose et al. MLST 2025 - Code, Data and Models

Nov 20, 2025 - Jose et al. MLST 2025 Soot detection

Jose, Basil; Geigle, Klaus Peter; Hampp, Fabian, 2025, "Jose et al. MLST 2025 - Code, Data and Models", https://doi.org/10.18419/DARUS-5512, DaRUS, V1

This dataset hosts the code, data and models needed for replication of the work mentioned in Jose et al. MLST 2025. In the paper, an ablation study is conducted to delineate the effects of domain randomisation parameters of synthetically generated training data on the segmentation accuracy. The best model is used to extract high-level statistics fr...

Code for training and using the soot (instance) segmentation models

Oct 31, 2025 - Soot segmentation

Jose, Basil; Geigle, Klaus Peter; Hampp, Fabian, 2025, "Code for training and using the soot (instance) segmentation models", https://doi.org/10.18419/DARUS-5184, DaRUS, V2

This dataset contains the necessary code for using our soot (instance) segmentation model used for segmenting soot filaments from PIV (Mie scattering) images. In the corresponding paper, an ablation study is conducted to delineate the effects of domain randomisation parameters of synthetically generated training data on the segmentation accuracy. T...

Code for using and training spray segmentation models

Feb 27, 2025 - Spray Segmentation

Jose, Basil; Hampp, Fabian, 2025, "Code for using and training spray segmentation models", https://doi.org/10.18419/DARUS-4739, DaRUS, V1

This dataset contains the necessary code for using our spray segmentation model used in the paper, ML-based semantic segmentation for quantitative spray atomization description. See README for more information.

Code for training and using the droplet segmentation models

Jul 2, 2024 - Spray Segmentation

Jose, Basil; Hampp, Fabian, 2024, "Code for training and using the droplet segmentation models", https://doi.org/10.18419/DARUS-4147, DaRUS, V1

This dataset contains the necessary code for using our spray segmentation model used in the paper, Machine learning based spray process quantification. More information can be found in the README.md.

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