Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hoefer, Julian"'
Autor:
Kreß, Fabian, Annabi, El Mahdi El, Hotfilter, Tim, Hoefer, Julian, Harbaum, Tanja, Becker, Juergen
Distributed systems can be found in various applications, e.g., in robotics or autonomous driving, to achieve higher flexibility and robustness. Thereby, data flow centric applications such as Deep Neural Network (DNN) inference benefit from partitio
Externí odkaz:
http://arxiv.org/abs/2406.19913
Autor:
Kreß, Fabian, Sidorenko, Vladimir, Schmidt, Patrick, Hoefer, Julian, Hotfilter, Tim, Walter, Iris, Harbaum, Tanja, Becker, Jürgen
Publikováno v:
In Computer Networks June 2023 229
Autor:
Stammler, Matthias, Hoefer, Julian, Kraus, David, Schmidt, Patrick, Hotfilter, Tim, Harbaum, Tanja, Becker, Jürgen
Publikováno v:
In Procedia Computer Science 2023 222:499-508
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
So far there are only a few studies that examine insects as food in the western world. A current study from Berger et al. (2018) serves as a model for our investigation. Our goal is to find out whether the framing of food that contains insects in dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3e0835926da7e2920a24668f06fb306
Autor:
Kreß, Fabian, Hoefer, Julian, Hotfilter, Tim, Walter, Iris, Sidorenko, Vladimir, Harbaum, Tanja, Becker, Jürgen
Embedded image processing applications like multicamera-based object detection or semantic segmentation are often based on Convolutional Neural Networks (CNNs) to provide precise and reliable results. The deployment of CNNs in embedded systems, howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a29ab5ae17b5b0b9fc7b954f75d719e
https://publikationen.bibliothek.kit.edu/1000150617/149287535
https://publikationen.bibliothek.kit.edu/1000150617/149287535
Publikováno v:
2021 IEEE 34th International System-on-Chip Conference (SOCC).
Hardware accelerators for deep neural networks (DNNs) have established themselves over the past decade. Most developments have worked towards higher efficiency with an individual application in mind. This highlights the strong relationship between co