Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Christopher Mutschler"'
Publikováno v:
IEEE Access, Vol 11, Pp 94148-94172 (2023)
Cross-modal representation learning learns a shared embedding between two or more modalities to improve performance in a given task compared to using only one of the modalities. Cross-modal representation learning from different data types - such as
Externí odkaz:
https://doaj.org/article/67dc4085040745bd9f8d5975528418f5
Autor:
Christian Ufrecht, Maniraman Periyasamy, Sebastian Rietsch, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
Publikováno v:
Quantum, Vol 7, p 1147 (2023)
Circuit cutting, the decomposition of a quantum circuit into independent partitions, has become a promising avenue towards experiments with larger quantum circuits in the noisy-intermediate scale quantum (NISQ) era. While previous work focused on cut
Externí odkaz:
https://doaj.org/article/4bfcfa6cd3d149d796d4d2634cdb9293
Autor:
Tobias Feigl, Sebastian Kram, Philipp Woller, Ramiz H. Siddiqui, Michael Philippsen, Christopher Mutschler
Publikováno v:
Sensors, Vol 20, Iss 13, p 3656 (2020)
Pedestrian Dead Reckoning (PDR) uses inertial measurement units (IMUs) and combines velocity and orientation estimates to determine a position. The estimation of the velocity is still challenging, as the integration of noisy acceleration and angular
Externí odkaz:
https://doaj.org/article/82fff45376bc47218a977295559bd0c0
Publikováno v:
Sensors, Vol 19, Iss 5, p 1064 (2019)
Radio-based locating systems allow for a robust and continuous tracking in industrial environments and are a key enabler for the digitalization of processes in many areas such as production, manufacturing, and warehouse management. Time difference of
Externí odkaz:
https://doaj.org/article/caea1614de514362aad88b25ee975d8d
Autor:
Georgios D. Kontes, Georgios I. Giannakis, Víctor Sánchez, Pablo de Agustin-Camacho, Ander Romero-Amorrortu, Natalia Panagiotidou, Dimitrios V. Rovas, Simone Steiger, Christopher Mutschler, Gunnar Gruen
Publikováno v:
Energies, Vol 11, Iss 12, p 3376 (2018)
Over the last several years, a great amount of research work has been focused on the development of model predictive control techniques for the indoor climate control of buildings, but, despite the promising results, this technology is still not adop
Externí odkaz:
https://doaj.org/article/9031dd30f6db421fbea45f36c3f6a9ba
Publikováno v:
IFAC-PapersOnLine. 55:355-360
Fingerprinting-based positioning significantly improves the indoor localization performance in non-line-of-sight-dominated areas. However, its deployment and maintenance is cost-intensive as it needs ground-truth reference systems for both the initia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c58f19fbb98fcb9076ad2c11e4a302d2
http://arxiv.org/abs/2210.06294
http://arxiv.org/abs/2210.06294
Beamforming-capable antenna arrays overcome the high free-space path loss at higher carrier frequencies. However, the beams must be properly aligned to ensure that the highest power is radiated towards (and received by) the user equipment (UE). While
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::827640febfcfeab2873b72fd4e6c52df
http://arxiv.org/abs/2209.06669
http://arxiv.org/abs/2209.06669
Autor:
Maximilian Stahlke, Tobias Feigl, Mario H. Castaneda Garcia, Richard A. Stirling-Gallacher, Jochen Seitz, Christopher Mutschler
Publikováno v:
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring).
Common representation learning (CRL) learns a shared embedding between two or more modalities to improve in a given task over using only one of the modalities. CRL from different data types such as images and time-series data (e.g., audio or text dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7852a6ad68950f4d2cff67b98b502a06
https://doi.org/10.31219/osf.io/pbzd7
https://doi.org/10.31219/osf.io/pbzd7