Intelligent user interfaces for Industry 4.0: Improving workplace security by systematically applying machine learning and image processing to identify face mask usage-Reference-Cited by-同舟云学术

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Intelligent user interfaces for Industry 4.0: Improving workplace security by systematically applying machine learning and image processing to identify face mask usage

Published:2023-06-08 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3)
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Author:

Mukherjee Sandip¹,Samanta Sayanti¹,Roy Bhaswati¹,Bhattacherjee Niloy Kumar¹,Bhaduri Aparna²,Gupta Subir³

Affiliation:

1. Dr. B. C. Roy Engineering College,Dept. of FMS,Durgapur,WB,India

2. Dr. B. C. Roy Engineering College,BCREC APC,Durgapur,WB,India

3. Swami Vivekananda University,Dept. of CSE,Kolkata,West Bengal,India,700121

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10262406/10262386/10262659.pdf?arnumber=10262659

Reference19 articles.

1. An evidence review of face masks against COVID-19

2. Face mask effects during COVID-19: perspectives of managers, practitioners and customers in the hotel industry

3. Environmental challenges induced by extensive use of face masks during COVID-19: A review and potential solutions

4. A novel perspective approach to explore pros and cons of face mask in prevention the spread of SARS-CoV-2 and other pathogens

5. Correspondence: Adapting to the culture of ‘new normal’: An emerging response to COVID-19;corpuz;J Public Heal (United Kingdom),2021

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