More Web Proxy on the site http://driver.im/

default search action

combined dblp search
author search
venue search
publication search

ask others

"Highly-accurate binary tiny neural network for low-power human activity ..."

Antonio De Vita et al. (2021)

> Home

Details and statistics

DOI: 10.1016/J.MICPRO.2021.104371

access: closed

type: Journal Article

metadata version: 2024-08-04

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/mam/VitaPBRPL21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/mam/VitaPBRPL21
Antonio De Vita, Danilo Pau, Luigi Di Benedetto, Alfredo Rubino, Frédéric Pétrot, Gian Domenico Licciardo:
Highly-accurate binary tiny neural network for low-power human activity recognition. Microprocess. Microsystems 87: 104371 (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.