Department Elektrotechnik-Elektronik-Informationstechnik (EEI)


close-button

Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Numerical and experimental analysis of ammonothermal crystal growth configurations and their impact on the temperature field along the autoclave wall (2025) Wostatek T, Zenk M, Friedrich J, Schimmel S Conference contribution, Abstract of a poster Hearing Your Way Through Music Recordings: A Text Alignment and Synthesis Approach (2025) Strahl S, Özer Y, Berendes HU, Müller M Conference contribution, Conference Contribution Stability Challenges in Heterogeneous Power Grids: Leveraging Real Life Grid Models in the Kopernikus ENSURE Co Demonstration Platform (2025) Schweinshaut B Conference contribution, Conference Contribution Künstliche Intelligenz in der Netzleittechnik (2025) Stiasny J, Mirz M, Vogt M, Kummerow A, Dauer M, Meyer J, Hoppe-Oehl H, et al. Other publication type, VDE Studie FAS-assisted federated learning over wireless communication systems (2025) Xu H, Wong KK, Zhu Y, Huang C, Wang C, New WK, Ghadi FR, Zhou G Journal article Alternativer beobachterbasierter Reglerentwurf für robuste asymptotische Störkompensation bei Stellbegrenzung (2025) Hippe P, Roppenecker G Journal article An Advanced Method for Precise ULA SIMO Radar Calibration Utilizing Synthetic Aperture Radar Imaging Artifacts (2025) Braunwarth M, Geiß J, Sippel E, Vossiek M Journal article Influence of SiC MOSFET Device Parameters on Zero-Voltage Switching Losses (2025) Lehmeier T, Zhou Y, März M, Pai AP Conference contribution, Conference Contribution Real-Time Simulation and Co-Simulation for Large-Scale Power Grids - The Kopernikus ENSURE Co-Demonstration Platform as a Collaborative Approach (2025) Mehlmann G, Hubschneider S, Vogel S, Wege F, Scheibe C, Burlakin I, Schweinshaut B, et al. Conference contribution, Abstract of lecture Machine learning-based prediction of quality characteristics in joining processes to minimize destructive testing: A case study on crimp connections (2025) Hofmann B, Regenhardt K, Bründl P, Nguyen HG, Belagiannis V, Franke J, Risch F Journal article