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Cited by 498

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection

Open access
Loey, Mohamed, Manogaran, Gunasekaran, Taha, Mohamed Hamed N., Khalifa, Nour Eldeen M.·2021·Sustainable Cities and Society

Abstract

Highlights • A novel deep learning model for medical face mask detection.• The model can help governments to prevent the COVID-19 transmission.• Two medical face mask datasets have been tested.• The YOLO-v2 with ResNet-50 model achieves high average precision.

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Show all 12 references

Research works printed but not linked: 19

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  2. Barthakur, 2019, Semantic Segmentation using K-means Clustering and Deep Learning in Satellite Image, 2019 2nd International Conference on Innovations in Electronics, Signal Processing and Communication (IESC), 192
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  10. Lee, 2019, Fast Detection of Objects Using a YOLOv3 Network for a Vending Machine, 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 132
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Metadata

Authors
Loey, M., Manogaran, G., Taha, M. H. N., & Khalifa, N. E. M.
Venue
Sustainable Cities and Society
Publisher
Elsevier BV
Published
2021-02
Volume
65
Pages
102600
ISSN
2210-6707 (ISSN-L)
OpenAlex
W3105153358
Cited by
498
References
12
FWCI
36.80
Type
journal article
Language
en
Open access
green
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)

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CoChat. (2026). Citation check: Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection. https://app.cochat.ai/papers/10.1016/j.scs.2020.102600
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Loey, M., Manogaran, G., Taha, M. H. N., & Khalifa, N. E. M. (2021). Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2020.102600

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.