E-LIB Suche - Ergebnisse für: Kahl, Matthias

1

Interpretable deep learning for consistent large-scale urba..:

Doda, Sugandha ; Kahl, Matthias ; Ouan, Kim...
International Journal of Applied Earth Observation and Geoinformation. 128 (2024) - p. 103731 , 2024

Link: https://doi.org/10.1016/..

2

Subsurface Defect Detection and Classification in 3D THz Im..:

, In: 2023 48th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz),

Souliman, Aya ; Darji, Yashkumar ; Kahl, Matthias.. - p. 1-2 , 2023

Link: https://doi.org/10.1109/..

3

Practical approach for replacement concept in curative syst..:

, In: 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE),

Jiang, Teng ; Kahl, Matthias ; Brenneisen, Olaf - p. 1-5 , 2023

Link: https://doi.org/10.1109/..

4

SiGe MIMO In-line Imager with 12x64 Elements for Real-time ..:

, In: 2023 48th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz),

Kahl, Matthias ; Hussung, Raphael ; Keil, Andreas... - p. 1-2 , 2023

Link: https://doi.org/10.1109/..

5

High-bandwidth FMCW THz Imaging in the 499-733 GHz Range fo..:

, In: 2022 47th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz),

Souliman, Aya ; Kahl, Matthias ; Wigger, Anna K.... - p. 1-2 , 2022

Link: https://doi.org/10.1109/..

6

MIMO Design of 12x64 Element Polarization Sensitive SiGe Ar..:

, In: 2022 47th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz),

Kahl, Matthias ; Weisenstein, Christian ; Hussung, Raphael... - p. 1-2 , 2022

Link: https://doi.org/10.1109/..

7

Deep Optimization Prior for THz Model Parameter Estimation:

, In: 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),

Wong, Tak Ming ; Bauermeister, Hartmut ; Kahl, Matthias... - p. 4049-4058 , 2022

Link: https://doi.org/10.1109/..

8

So2Sat POP - A Curated Benchmark Data Set for Population Es..:

Doda, Sugandha ; Wang, Yuanyuan ; Kahl, Matthias...
Scientific Data. 9 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

9

Aspects of Signal Processing for Multistatic Terahertz Imag..:

, In: 2021 46th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz),

Hussung, Raphael ; Keil, Andreas ; Kahl, Matthias... - p. 1-2 , 2021

Link: https://doi.org/10.1109/..

10

Identification of a Spatio-Temporal Temperature Model for L..:

Kahl, Matthias ; Schramm, Sebastian ; Neumann, Max.
Metals. 11 (2021) 12 - p. 2050 , 2021

Link: https://doi.org/10.3390/..

11

Toolbox zur Identifikation von Takagi-Sugeno-Fuzzy-Modellen:

Dürrbaum, Axel ; Kahl, Matthias ; Himmelsbach, Matthias.
at - Automatisierungstechnik. 69 (2021) 10 - p. 915-916 , 2021

Link: https://doi.org/10.1515/..

12

Machine Learning for Non-Intrusive Load Monitoring:

Kahl, Matthias , 2019

Link: http://nbn-resolving.de/..

13

MEED: An Unsupervised Multi-Environment Event Detector for ..:

, In: 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm),

Jorde, Daniel ; Kahl, Matthias ; Jacobsen, Hans-Arno - p. 1-6 , 2019

Link: https://doi.org/10.1109/..

14

Appliance Event Detection - A Multivariate, Supervised Clas..:

, In: Proceedings of the Tenth ACM International Conference on Future Energy Systems,

Kahl, Matthias ; Kriechbaumer, Thomas ; Jorde, Daniel.. - p. 373-375 , 2019

Link: https://dl.acm.org/doi/1..

15

On Nonlinear Empirical Modeling of Residual Stress Profiles..:

, In: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC),

Wittich, Felix ; Kahl, Matthias ; Kroll, Andreas.. - p. 3255-3260 , 2019

Link: https://doi.org/10.1109/..