Sven Lange, M.Sc.
Wissenschaftlicher Mitarbeiter
Nahfeldscanner, Ortung und KI-Anwendungen
- E-Mail:
- lange@sensorik.uni-paderborn.de
- Telefon:
- +49 5251 60-5643
- Web:
- Homepage
- Büroanschrift:
-
Pohlweg 47-49
33098 Paderborn - Raum:
- P6.2.3
Publikationen
Aktuelle Publikationen
Characterization of Various Environmental Influences on the Inductive Localization
S. Lange, U. Hilleringmann, C. Hedayat, H. Kuhn, J. Förstner, in: 2023 IEEE Conference on Antenna Measurements and Applications (CAMA), IEEE, Genoa, Italy , 2023.
AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development
J. Maalouly, D. Hemker, C. Hedayat, C. Rückert, I. Kaufmann, M. Olbrich, S. Lange, H. Mathis, in: 2022 Kleinheubach Conference, IEEE, Miltenberg, Germany, 2022.
Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings
S. Lange, C. Hedayat, H. Kuhn, U. Hilleringmann, in: 2022 Smart Systems Integration (SSI), IEEE, Grenoble, France, 2022.
Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods
T. Sander, S. Lange, U. Hilleringmann, V. Geneiß, C. Hedayat, H. Kuhn, in: 2022 Smart Systems Integration (SSI), IEEE, Grenoble, France, 2022.
Far-field Calculation from magnetic Huygens Box Data using the Boundary Element Method
Alle Publikationen anzeigen
C. Marschalt, D. Schroder, S. Lange, U. Hilleringmann, C. Hedayat, H. Kuhn, D. Sievers, J. Förstner, in: 2022 Smart Systems Integration (SSI), IEEE, Grenoble, France, 2022.