8 Publikationen
2023 | Konferenz - Vortrag | ELSA-ID: 10133
Ramm, S., Hernández Rodriguez, T., Frahm, B., & Pein-Hackelbusch, M. (2023). Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities. In IEEE International Conference on Industrial Informatics, INDIN ’23. IEEE International Conference on Industrial Informatics, INDIN ’23, Lemgo.
ELSA
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 10216
Fulek, R., Ramm, S., Kiera, C., Pein-Hackelbusch, M., & Odefey, U. (2023). A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. Pharmaceutics, 15(8), Article 2153. https://doi.org/10.3390/pharmaceutics15082153
ELSA
| DOI
2023 | Konferenz - Vortrag | ELSA-ID: 10326
Wörner, J., Dörksen, H., & Pein-Hackelbusch, M. (2023). Key Indicators for the Discrimination of Wines by Electronic Noses. In 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). 21st International Conference on Industrial Informatics (INDIN), Lemgo. https://doi.org/10.1109/INDIN51400.2023.10217912
ELSA
| DOI
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 10327
Wörner, J., Moelleken, M., Dissemond, J., & Pein-Hackelbusch, M. (2023). Supporting wound infection diagnosis: advancements and challenges with electronic noses. Frontiers in Sensors, 4. https://doi.org/10.3389/fsens.2023.1250756
ELSA
| DOI
2023 | Konferenz - Beitrag | ELSA-ID: 10330
Ramm, S., Hernández Rodriguez, T., Frahm, B., & Pein-Hackelbusch, M. (2023). Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). 21st International Conference on Industrial Informatics (INDIN), Lemgo. https://doi.org/10.1109/indin51400.2023.10218012
ELSA
| DOI
2023 | Konferenz - Poster | ELSA-ID: 9574
Ramm, S., Hernández Rodriguez, T., Frahm, B., & Pein-Hackelbusch, M. (2023). Comparison of Preprocessing Methods of Dielectric Spectroscopy Data and the Effects on Linear Regression. BioProcessingDays 2023, Recklinghausen.
ELSA
2023 | Konferenz - Vortrag | ELSA-ID: 9627
Ramm, S., Fulek, R., Eberle, V. A., Kiera, C., Odefey, U., & Pein-Hackelbusch, M. (2023). Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. Ph.D. Student’s Symposium on Tabletting Technology 2023, Rosenberg.
ELSA
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 9568
Ramm, S., Fulek, R., Eberle, V. A., Kiera, C., Odefey, U., & Pein-Hackelbusch, M. (2022). Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. Pharmaceutics, 14(11), Article 2303. https://doi.org/10.3390/pharmaceutics14112303
ELSA
| DOI
8 Publikationen
2023 | Konferenz - Vortrag | ELSA-ID: 10133
Ramm, S., Hernández Rodriguez, T., Frahm, B., & Pein-Hackelbusch, M. (2023). Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities. In IEEE International Conference on Industrial Informatics, INDIN ’23. IEEE International Conference on Industrial Informatics, INDIN ’23, Lemgo.
ELSA
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 10216
Fulek, R., Ramm, S., Kiera, C., Pein-Hackelbusch, M., & Odefey, U. (2023). A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. Pharmaceutics, 15(8), Article 2153. https://doi.org/10.3390/pharmaceutics15082153
ELSA
| DOI
2023 | Konferenz - Vortrag | ELSA-ID: 10326
Wörner, J., Dörksen, H., & Pein-Hackelbusch, M. (2023). Key Indicators for the Discrimination of Wines by Electronic Noses. In 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). 21st International Conference on Industrial Informatics (INDIN), Lemgo. https://doi.org/10.1109/INDIN51400.2023.10217912
ELSA
| DOI
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 10327
Wörner, J., Moelleken, M., Dissemond, J., & Pein-Hackelbusch, M. (2023). Supporting wound infection diagnosis: advancements and challenges with electronic noses. Frontiers in Sensors, 4. https://doi.org/10.3389/fsens.2023.1250756
ELSA
| DOI
2023 | Konferenz - Beitrag | ELSA-ID: 10330
Ramm, S., Hernández Rodriguez, T., Frahm, B., & Pein-Hackelbusch, M. (2023). Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). 21st International Conference on Industrial Informatics (INDIN), Lemgo. https://doi.org/10.1109/indin51400.2023.10218012
ELSA
| DOI
2023 | Konferenz - Poster | ELSA-ID: 9574
Ramm, S., Hernández Rodriguez, T., Frahm, B., & Pein-Hackelbusch, M. (2023). Comparison of Preprocessing Methods of Dielectric Spectroscopy Data and the Effects on Linear Regression. BioProcessingDays 2023, Recklinghausen.
ELSA
2023 | Konferenz - Vortrag | ELSA-ID: 9627
Ramm, S., Fulek, R., Eberle, V. A., Kiera, C., Odefey, U., & Pein-Hackelbusch, M. (2023). Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. Ph.D. Student’s Symposium on Tabletting Technology 2023, Rosenberg.
ELSA
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 9568
Ramm, S., Fulek, R., Eberle, V. A., Kiera, C., Odefey, U., & Pein-Hackelbusch, M. (2022). Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. Pharmaceutics, 14(11), Article 2303. https://doi.org/10.3390/pharmaceutics14112303
ELSA
| DOI