Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Diana Goehringer"'
Publikováno v:
2022 IEEE 30th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Autor:
Michael Huebner, Maria Dagioglou, Diana Goehringer, Nikolaos S. Voros, Christos P. Antonopoulos, Stasinos Konstantopoulos, Georgios Keramidas, Vangelis Karkaletsis, Fynn Schwiegelshohn, Georgios Stavrinos
Publikováno v:
IEEE Consumer Electronics Magazine. 9:77-82
Health care platforms rapidly shift toward the ICT-based solutions. In this context, a wide range of consumer electronics technologies come into play ranging from robotics, embedded systems, sensors, and communication infrastructures. Driven by such
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 31:675-694
Networks-on-chip (NoCs) acquired substantial advancements as the typical solution for a modular, flexible and high performance communication infrastructure coping with the scalable Multi-/Manycores technology. However, the increasing chip complexity
Publikováno v:
Microprocessors and Microsystems. 96:104707
Autor:
Bruno da Silva, Jurgen Vandendriessche, Marcelo Brandalero, Abdellah Touhafi, Laurens Le Jeune, Diana Goehringer, Toon Goedemé, Mitko Veleski, Michael Hübner, Lancelot Charles Lhoest, Hector Gerardo Munoz Hernandez, Nele Mentens, Muhammad Ali
Publikováno v:
FPL
31st International Conference on Field-Programmable Logic and Applications (FPL), 374-375. IEEE
STARTPAGE=374;ENDPAGE=375;TITLE=31st International Conference on Field-Programmable Logic and Applications (FPL)
31st International Conference on Field-Programmable Logic and Applications (FPL), 374-375. IEEE
STARTPAGE=374;ENDPAGE=375;TITLE=31st International Conference on Field-Programmable Logic and Applications (FPL)
Motivated by an increasing interest from startups in embedded Artificial Intelligence (AI) and by their limited expertise, the AITIA Project targets the development of embedded AI techniques for industrial applications. This extended abstract present
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b7772f3237df7b3654370029c9c5cac
https://biblio.vub.ac.be/vubir/aitia-embedded-ai-techniques-for-industrial-applications(159978c8-0108-49e2-9cff-d7f8f80bf1f4).html
https://biblio.vub.ac.be/vubir/aitia-embedded-ai-techniques-for-industrial-applications(159978c8-0108-49e2-9cff-d7f8f80bf1f4).html
Publikováno v:
2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ).
Publikováno v:
DSD
The near-data processing (NDP) paradigm has emerged as a promising solution for the memory wall challenges of future computing architectures. Modern 3D-stacked DRAM systems can be exploited to prevent unnecessary data movement between the main memory
Publikováno v:
DSD
The computational intensity in embedded processing applications is increasing. This requires domain-specific embedded platforms in order to achieve maximum performance per watt of the system. With the arrival of open-source instruction set architectu
Autor:
Ariel Podlubne, Sergio Andres Pertuz Mendez, Christos S. Antonopoulos, Safdar Mahmood, Michael Hübner, Kwame Owusu Ampadu, Diana Goehringer, Christos Panagiotou, Georgios Keramidas, Konstantinos Antonopoulos, Nikolaos S. Voros
Publikováno v:
Electronics
Volume 10
Issue 17
Electronics, Vol 10, Iss 2062, p 2062 (2021)
Volume 10
Issue 17
Electronics, Vol 10, Iss 2062, p 2062 (2021)
From caretaking activities for elderly people to being assistive in healthcare setup, mobile and non-mobile robots have the potential to be highly applicable and serviceable. The ongoing pandemic has shown that human-to-human contact in healthcare in