A Real-Time Face Mask Detection-Based Attendance System Using MobileNetV2-Reference-Cited by-同舟云学术

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A Real-Time Face Mask Detection-Based Attendance System Using MobileNetV2

Published:2022 Issue: Volume: Page:659-669
ISSN:2367-4512
Container-title:Intelligent Data Communication Technologies and Internet of Things
language:
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Author:

Rathod Kishansinh,Punjabi Zeel,Patel Vivek,Bohara Mohammed Husain

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-7610-9_49

Reference10 articles.

1. World Health Organization (2020) Naming the coronavirus disease (COVID-19) and the virus that causes it. Braz J Implantology Health Sci 2(3)

2. Gage A et al (2021) Perspectives of manipulative and high-performance nanosystems to manage consequences of emerging new severe acute respiratory syndrome coronavirus 2 variants. Front Nanotechnol 3:45

3. Campbell F et al (2021) Increased transmissibility and global spread of SARS-CoV-2 variants of concern as at June 2021. Eurosurveillance 26(24):2100509

4. Bhattacharya A (2021) COVID-19: deaths in 2nd wave cross 2 lakh at daily average of over 2,000. The Times of India [online]

5. Modi S, Bohara MH (2021) Facial emotion recognition using convolution neural network. In: 2021 5th International conference on intelligent computing and control systems (ICICCS). IEEE

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1. System and Method for Early Detection and Post Disease Detection of Dementia Patients;2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC);2022-08-17

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