Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Kovatsch"'
We propose a new method for testing antenna arrays that records the radiating electromagnetic (EM) field using an absorbing material and evaluating the resulting thermal image series through an AI using a conditional encoder-decoder model. Given the
Externí odkaz:
http://arxiv.org/abs/2111.13884
Autor:
G. Stocker, C. Consani, P. Thakkar, C. Fleury, A. Tortschanoff, K.-F. Ourak, G. Pühringer, R. Jannesari, P. Saeidi, E. Aschauer, U. Bartl, C. Kovatsch, T. Grille, B. Jakoby
Publikováno v:
Journal of Sensors and Sensor Systems, Vol 11, Pp 225-231 (2022)
The increasing popularity of environments equipped with sensors for convenience and with safety features, as in, for example, smart homes, greenhouses, or the interior of modern cars, demands a variety of sensor systems. In this respect, the sensing
Externí odkaz:
https://doaj.org/article/4854b9a30af6460383d6f3291db28543
Autor:
Kovatsch, Audrey1 (AUTHOR), Honcharova‐Biletska, Hanna2 (AUTHOR), Segna, Daniel1,3 (AUTHOR), Steigmiller, Klaus4 (AUTHOR), Blümel, Sena1 (AUTHOR), Deibel, Rudolf A.1 (AUTHOR), Kühlewindt, Tobias1 (AUTHOR), Leinenkugel, Georg1 (AUTHOR), Müller, Sandra1 (AUTHOR), Furrer, Eva4 (AUTHOR), Schawkat, Khoschy5,6 (AUTHOR), Reiner, Cäcilia S.6 (AUTHOR), Weber, Achim2 (AUTHOR), Müllhaupt, Beat1 (AUTHOR), Scharl, Michael1 (AUTHOR), Gubler, Christoph1,7 (AUTHOR), Jüngst, Christoph1,8 (AUTHOR) christoph.juengst@usz.ch
Publikováno v:
European Journal of Clinical Investigation. Jul2023, Vol. 53 Issue 7, p1-10. 10p.
Autor:
Jiawen Xu, Matthias Kovatsch, Denny Mattern, Filippo Mazza, Marko Harasic, Adrian Paschke, Sergio Lucia
Publikováno v:
Applied Sciences, Vol 12, Iss 16, p 8239 (2022)
Artificial intelligence (AI) has been successfully applied in industry for decades, ranging from the emergence of expert systems in the 1960s to the wide popularity of deep learning today. In particular, inexpensive computing and storage infrastructu
Externí odkaz:
https://doaj.org/article/c8a70580316545e6bcf80ac26ac2136f
Autor:
Gerald Stocker, Cristina Consani, Pooja Thakkar, Clement Fleury, Andreas Tortschanoff, Khaoula-Farah Ourak, Gerald Pühringer, Reyhaneh Jannesari, Parviz Saeidi, Elmar Aschauer, Ulf Bartl, Christoph Kovatsch, Thomas Grille, Bernhard Jakoby
Publikováno v:
Journal of Sensors and Sensor Systems. 11:225-231
The increasing popularity of environments equipped with sensors for convenience and with safety features, as in, for example, smart homes, greenhouses, or the interior of modern cars, demands a variety of sensor systems. In this respect, the sensing
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Publikováno v:
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium.
Publikováno v:
IOT
IoT is often associated with low-power wireless, where best-effort communication is sufficient for many of its applications. Yet, in particular in Industrial IoT, strict quality of service (QoS) guarantees are required to enable deterministic real-ti
Publikováno v:
INDIN
AI tasks based on deep neural networks have been widely applied in industrial applications, such as process control, quality inspection or predictive maintenance. Deep neural network classifiers are particularly successful, as they provide powerful a