"High ECG diagnosis rate using novel machine learning techniques with ..."

K. A. Sharada et al. (2023)

> Home

Details and statistics

DOI: 10.1016/J.MICPRO.2023.104796

access: closed

type: Journal Article

metadata version: 2025-04-01

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/mam/SharadaSMMSR23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/mam/SharadaSMMSR23
K. A. Sharada, KSN Sushma, V. Muthukumaran, T. R. Mahesh, B. Swapna, S. Roopashree:
High ECG diagnosis rate using novel machine learning techniques with Distributed Arithmetic (DA) based gated recurrent units. Microprocess. Microsystems 98: 104796 (2023)

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.