"A Conceptual Framework for a Real-Time, Deep Learning Model to Estimate In ..."

Isurie Akarawita et al. (2024)

> Home

Details and statistics

DOI: 10.1109/M2VIP62491.2024.10746125

access: closed

type: Conference or Workshop Paper

metadata version: 2024-12-03

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/m2vip/AkarawitaCDXS24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/m2vip/AkarawitaCDXS24
Isurie Akarawita, Bangxiang Chen, Jaspreet S. Dhupia, Weiliang Xu, Martin Stommel:
A Conceptual Framework for a Real-Time, Deep Learning Model to Estimate In vitro Chewing Cycles Required for Safe Swallowing. M2VIP 2024: 1-4

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.