gait-based-authentication-eenet

This repository contains the code and resources to apply efficient machine learning methodologies to run gait-based authentication using EENets and eenet-lite

https://github.com/p-z-b-d/gait-based-authentication-eenet

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (2.0%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

This repository contains the code and resources to apply efficient machine learning methodologies to run gait-based authentication using EENets and eenet-lite

Basic Info
  • Host: GitHub
  • Owner: p-z-b-d
  • License: mit
  • Default Branch: main
  • Size: 1.95 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

gait-based-authentication-eenet

This repository contains the code and resources to apply efficient machine learning methodologies to run gait-based authentication using EENets and eenet-lite

Owner

  • Login: p-z-b-d
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Zouridakis
    given-names: Pavlos
    orcid: https://orcid.org/0000-0002-4143-2120
title: "Software for Performance- and Energy-aware Gait-based User Authentication for IoT Devices"
version: 1.1.0
date-released: 2021-08-31
url: https://github.com/p-z-b-d/gait-based-authentication-eenet

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