Innovative IoT-enabled mask detection system: A hybrid deep learning approach for public health applications

Parul Dubey, Vinay Keswani, Pushkar Dubey, Gunjan Keswani, Dhananjay Bhagat

Open source

DOI
10.1016/j.mex.2025.103291
Published
2025-06
Container
MethodsX
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.mex.2025.103291,
  title = {Innovative IoT-enabled mask detection system: A hybrid deep learning approach for public health applications},
  author = {Parul Dubey and Vinay Keswani and Pushkar Dubey and Gunjan Keswani and Dhananjay Bhagat},
  year = {2025},
  journal = {MethodsX},
  doi = {10.1016/j.mex.2025.103291},
  url = {https://doi.org/10.1016/j.mex.2025.103291}
}

RIS

TY  - JOUR
TI  - Innovative IoT-enabled mask detection system: A hybrid deep learning approach for public health applications
AU  - Parul Dubey
AU  - Vinay Keswani
AU  - Pushkar Dubey
AU  - Gunjan Keswani
AU  - Dhananjay Bhagat
PY  - 2025
JO  - MethodsX
DO  - 10.1016/j.mex.2025.103291
UR  - https://doi.org/10.1016/j.mex.2025.103291
ER  - 

APA

Dubey, P., Keswani, V., Dubey, P., Keswani, G., & Bhagat, D. (2025). Innovative IoT-enabled mask detection system: A hybrid deep learning approach for public health applications. MethodsX. https://doi.org/10.1016/j.mex.2025.103291

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