Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Kahl, Matthias"'
Autor:
Kahl, Matthias
Die vorliegende Arbeit untersucht über den Zeitraum von 1994 bis 2004 die kommunale Finanzsituation der Stadt Potsdam. Anhand eines Kennzahlensystems, das aus den Daten der entsprechenden kommunalen Haushaltspläne entwickelt wurde, konnten Aussagen
Externí odkaz:
http://opus.kobv.de/ubp/volltexte/2008/2735/
Non-intrusive load monitoring (NILM) aims at energy consumption and appliance state information retrieval from aggregated consumption measurements, with the help of signal processing and machine learning algorithms. Representation learning with deep
Externí odkaz:
http://arxiv.org/abs/2209.03759
Autor:
Doda, Sugandha, Wang, Yuanyuan, Kahl, Matthias, Hoffmann, Eike Jens, Ouan, Kim, Taubenböck, Hannes, Zhu, Xiao Xiang
Obtaining a dynamic population distribution is key to many decision-making processes such as urban planning, disaster management and most importantly helping the government to better allocate socio-technical supply. For the aspiration of these object
Externí odkaz:
http://arxiv.org/abs/2204.08524
Autor:
Doda, Sugandha, Kahl, Matthias, Ouan, Kim, Obadic, Ivica, Wang, Yuanyuan, Taubenböck, Hannes, Zhu, Xiao Xiang
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation April 2024 128
Deep generative models are increasingly used to gain insights in the geospatial data domain, e.g., for climate data. However, most existing approaches work with temporal snapshots or assume 1D time-series; few are able to capture spatio-temporal proc
Externí odkaz:
http://arxiv.org/abs/2104.12469
Publikováno v:
Pattern Recognition. DAGM GCPR 2019. Lecture Notes in Computer Science, vol 11824. Springer, Cham
Terahertz (THz) sensing is a promising imaging technology for a wide variety of different applications. Extracting the interpretable and physically meaningful parameters for such applications, however, requires solving an inverse problem in which a m
Externí odkaz:
http://arxiv.org/abs/1907.01377
Non-intrusive load monitoring (NILM) is a modern and still expanding technique, helping to understand fundamental energy consumption patterns and appliance characteristics. Appliance event detection is an elementary step in the NILM pipeline. Unfortu
Externí odkaz:
http://arxiv.org/abs/1904.11580
Publikováno v:
Journal of Infrared, Millimeter, and Terahertz Waves (2019)
In this paper, a novel method to enhance Frequency Modulated Continuous Wave (FMCW) THz imaging resolution beyond its diffraction limit is proposed. Our method comprises two stages. Firstly, we reconstruct the signal in depth-direction using a sinc-e
Externí odkaz:
http://arxiv.org/abs/1802.05457
Autor:
Kahl, Matthias.
Publikováno v:
Kostenfrei.
Konstanz, Univ., Diss., 2008.
Externí odkaz:
http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-61912