10 Publications

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[10]
2023 | Conference Paper | LibreCat-ID: 46988
Pottebaum, J., Rechberger, C., Hieb, M., Gräßler, I., & Resch, C. (2023). Extremwettersituationen in alpinen Gebieten: Management kritischer Situationen in Echtzeit bei extremen und komplexen Daten. In Disaster Competence Network Austria (Ed.), Tagungsband der Fachtagung Katastrophenforschung 2023 (pp. 26–29).
LibreCat | Files available
 
[9]
2023 | Conference Paper | LibreCat-ID: 34395
Gräßler, I., Hieb, M., Roesmann, D., & Unverzagt, M. (2023). Creating Synthetic Training Data for Machine Vision Quality Gates (V. Lohweg, Ed.; pp. 95–106). Springer Vieweg. https://doi.org/10.1007/978-3-662-66769-9_7
LibreCat | DOI
 
[8]
2023 | Conference Paper | LibreCat-ID: 46974
Gräßler, I., & Hieb, M. (2023). Creating Synthetic Datasets for Deep Learning used in Machine Vision.
LibreCat
 
[7]
2023 | Conference Paper | LibreCat-ID: 52839
Gräßler, I., Hieb, M., Roesmann, D., Unverzagt, M., & Pottebaum, J. (2023). Virtual learning environment for teaching the handling of collaborative robots. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4471596
LibreCat | DOI
 
[6]
2023 | Conference Paper | LibreCat-ID: 46973
Gräßler, I., & Hieb, M. (2023). Cloud-Computing für die Verwendung synthetischer Trainingsdaten für Machine Vision Quality Gates. Automation 2023, 2419, 765–776. https://doi.org/10.51202/9783181024195-765
LibreCat | DOI
 
[5]
2023 | Conference Paper | LibreCat-ID: 52816
Gräßler, I., & Hieb, M. (2023). Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing. Lectures, 253–524. https://doi.org/10.5162/smsi2023/d7.4
LibreCat | DOI
 
[4]
2022 | Journal Article | LibreCat-ID: 32174 | OA
Gräßler, I., Thiele, H., Grewe, B., & Hieb, M. (2022). Responsibility Assignment in Systems Engineering. Proceedings of the Design Society, 2, 1875–1884. https://doi.org/10.1017/pds.2022.190
LibreCat | Files available | DOI | Download (ext.)
 
[3]
2022 | Journal Article | LibreCat-ID: 31791
Gräßler, I., Oleff, C., Hieb, M., & Preuß, D. (2022). Automated Requirement Dependency Analysis for Complex Technical Systems. Proceedings of the Design Society, 2, 1865–1874. https://doi.org/10.1017/pds.2022.189
LibreCat | DOI
 
[2]
2022 | Conference Paper | LibreCat-ID: 33892
Gräßler, I., Tusek, A. M., Thiele, H., Preuß, D., Grewe, B., & Hieb, M. (2022). Literature study on the potential of Artificial Intelligence in Scenario-Technique. XXXIII ISPIM Innovation Conference Proceedings. XXXIII ISPIM Innovation Conference “Innovating in a Digital World,” Copenhagen, Denmark.
LibreCat
 
[1]
2022 | Conference Paper | LibreCat-ID: 34262
Gräßler, I., Hieb, M., & Roesmann, D. (2022). Gestaltung einer Forschungsinfrastruktur für die Anwendung digitaler Werkzeuge in Cyber-Physischen Produktionssystemen. Automation 2022. https://doi.org/10.51202/9783181023990-667
LibreCat | DOI
 

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10 Publications

Mark all

[10]
2023 | Conference Paper | LibreCat-ID: 46988
Pottebaum, J., Rechberger, C., Hieb, M., Gräßler, I., & Resch, C. (2023). Extremwettersituationen in alpinen Gebieten: Management kritischer Situationen in Echtzeit bei extremen und komplexen Daten. In Disaster Competence Network Austria (Ed.), Tagungsband der Fachtagung Katastrophenforschung 2023 (pp. 26–29).
LibreCat | Files available
 
[9]
2023 | Conference Paper | LibreCat-ID: 34395
Gräßler, I., Hieb, M., Roesmann, D., & Unverzagt, M. (2023). Creating Synthetic Training Data for Machine Vision Quality Gates (V. Lohweg, Ed.; pp. 95–106). Springer Vieweg. https://doi.org/10.1007/978-3-662-66769-9_7
LibreCat | DOI
 
[8]
2023 | Conference Paper | LibreCat-ID: 46974
Gräßler, I., & Hieb, M. (2023). Creating Synthetic Datasets for Deep Learning used in Machine Vision.
LibreCat
 
[7]
2023 | Conference Paper | LibreCat-ID: 52839
Gräßler, I., Hieb, M., Roesmann, D., Unverzagt, M., & Pottebaum, J. (2023). Virtual learning environment for teaching the handling of collaborative robots. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4471596
LibreCat | DOI
 
[6]
2023 | Conference Paper | LibreCat-ID: 46973
Gräßler, I., & Hieb, M. (2023). Cloud-Computing für die Verwendung synthetischer Trainingsdaten für Machine Vision Quality Gates. Automation 2023, 2419, 765–776. https://doi.org/10.51202/9783181024195-765
LibreCat | DOI
 
[5]
2023 | Conference Paper | LibreCat-ID: 52816
Gräßler, I., & Hieb, M. (2023). Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing. Lectures, 253–524. https://doi.org/10.5162/smsi2023/d7.4
LibreCat | DOI
 
[4]
2022 | Journal Article | LibreCat-ID: 32174 | OA
Gräßler, I., Thiele, H., Grewe, B., & Hieb, M. (2022). Responsibility Assignment in Systems Engineering. Proceedings of the Design Society, 2, 1875–1884. https://doi.org/10.1017/pds.2022.190
LibreCat | Files available | DOI | Download (ext.)
 
[3]
2022 | Journal Article | LibreCat-ID: 31791
Gräßler, I., Oleff, C., Hieb, M., & Preuß, D. (2022). Automated Requirement Dependency Analysis for Complex Technical Systems. Proceedings of the Design Society, 2, 1865–1874. https://doi.org/10.1017/pds.2022.189
LibreCat | DOI
 
[2]
2022 | Conference Paper | LibreCat-ID: 33892
Gräßler, I., Tusek, A. M., Thiele, H., Preuß, D., Grewe, B., & Hieb, M. (2022). Literature study on the potential of Artificial Intelligence in Scenario-Technique. XXXIII ISPIM Innovation Conference Proceedings. XXXIII ISPIM Innovation Conference “Innovating in a Digital World,” Copenhagen, Denmark.
LibreCat
 
[1]
2022 | Conference Paper | LibreCat-ID: 34262
Gräßler, I., Hieb, M., & Roesmann, D. (2022). Gestaltung einer Forschungsinfrastruktur für die Anwendung digitaler Werkzeuge in Cyber-Physischen Produktionssystemen. Automation 2022. https://doi.org/10.51202/9783181023990-667
LibreCat | DOI
 

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