"Multi-fidelity deep neural networks for adaptive inference in the internet ..."

Sam Leroux et al. (2019)

> Home

Details and statistics

DOI: 10.1016/J.FUTURE.2019.03.001

access: closed

type: Journal Article

metadata version: 2021-10-14

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/fgcs/LerouxBCMVVSD19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/fgcs/LerouxBCMVVSD19
Sam Leroux, Steven Bohez, Elias De Coninck, Pieter Van Molle, Bert Vankeirsbilck, Tim Verbelen, Pieter Simoens, Bart Dhoedt:
Multi-fidelity deep neural networks for adaptive inference in the internet of multimedia things. Future Gener. Comput. Syst. 97: 355-360 (2019)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.