"ARTYCUL: A Privacy-Preserving ML-Driven Framework to Determine the ..."

Gatha Tanwar, Ritu Chauhan, Eiad Yafi (2021)

> Home

Details and statistics

DOI: 10.3390/S21041527

access: open

type: Journal Article

metadata version: 2021-03-23

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/sensors/TanwarCY21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/sensors/TanwarCY21
Gatha Tanwar, Ritu Chauhan, Eiad Yafi:
ARTYCUL: A Privacy-Preserving ML-Driven Framework to Determine the Popularity of a Cultural Exhibit on Display. Sensors 21(4): 1527 (2021)

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.