SwePub
Sök i SwePub databas

  Extended search

Träfflista för sökning "WFRF:(Ruckert A) srt2:(2020-2022)"

Search: WFRF:(Ruckert A) > (2020-2022)

  • Result 1-3 of 3
Sort/group result
   
EnumerationReferenceCoverFind
1.
  • Kaiser, M., et al. (author)
  • VEDLIoT: Very Efficient Deep Learning in IoT
  • 2022
  • In: Proceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022. - : IEEE. - 9783981926361
  • Conference paper (peer-reviewed)abstract
    • The VEDLIoT project targets the development of energy-efficient Deep Learning for distributed AIoT applications. A holistic approach is used to optimize algorithms while also dealing with safety and security challenges. The approach is based on a modular and scalable cognitive IoT hardware platform. Using modular microserver technology enables the user to configure the hardware to satisfy a wide range of applications. VEDLIoT offers a complete design flow for Next-Generation IoT devices required for collaboratively solving complex Deep Learning applications across distributed systems. The methods are tested on various use-cases ranging from Smart Home to Automotive and Industrial IoT appliances. VEDLIoT is an H2020 EU project which started in November 2020. It is currently in an intermediate stage with the first results available.
  •  
2.
  •  
3.
  • Ruckert, JC, et al. (author)
  • [Mediastinal Tumors]
  • 2022
  • In: Zentralblatt fur Chirurgie. - : Georg Thieme Verlag KG. - 1438-9592. ; 147:011, s. 99-120
  • Journal article (peer-reviewed)
  •  
Skapa referenser, mejla, bekava och länka
  • Result 1-3 of 3

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view