Automated Door to Prevent COVID-19 using Fuzzy Logic-Reference-Cited by-同舟云学术

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Automated Door to Prevent COVID-19 using Fuzzy Logic

Published:2023-12-30 Issue: Volume:2 Page:1-6
ISSN:
Container-title:2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE)
language:
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Author:

Khokhar Salah-Ud-Din¹,Sohaib Rana²,Muneeb Abdul²,Bibi Irfana³,Noor Muhammad Yasir⁴,Imran Muhammad⁴

Affiliation:

1. Qilu Institute of Technology,School of Intelligent Manufacturing and Control Engineering,Jinan,P.R.China

2. G.C. University Lahore,Department of Computer Science,Lahore,Pakistan

3. University of Punjab,Faculty of Computing and Information Technology,Department of Computer Science,Lahore,Pakistan

4. G.C. University Lahore,Department of Electronics,Lahore,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10441786/10441790/10441840.pdf?arnumber=10441840

Reference24 articles.

1. Severity assessment of coronavirus disease 2019 (COVID-19) using quantitative features from chest CT images;Tang,2020

2. Detection of COVID-19 Enhanced by a Deep Extreme Learning Machine

3. Large-scale screening to distinguish between COVID-19 and community-acquired pneumonia using infection size-aware classification

4. An Automated System to Limit COVID-19 Using Facial Mask Detection in Smart City Network

5. Applications and challenges of human activity recognition using sensors in a smart environment;Sunny;IJIRST Int. J. Innov. Res. Sci. Technol,2015

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