"Analog Gated Recurrent Unit Neural Network for Detecting Chewing Events."

Kofi Odame et al. (2022)

> Home

Details and statistics

DOI: 10.1109/TBCAS.2022.3218889

access: closed

type: Journal Article

metadata version: 2023-02-25

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tbcas/OdameNSBK22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tbcas/OdameNSBK22
Kofi Odame, Maria T. Nyamukuru, Mohsen Shahghasemi, Shengjie Bi, David Kotz:
Analog Gated Recurrent Unit Neural Network for Detecting Chewing Events. IEEE Trans. Biomed. Circuits Syst. 16(6): 1106-1115 (2022)

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.