An effective stacked autoencoder based depth separable convolutional neural network model for face mask detection.
- DOI
- 10.1016/j.array.2023.100294
- Published
- 2023 Sep
- Container
- Array (New York, N.Y.)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.array.2023.100294,
title = {An effective stacked autoencoder based depth separable convolutional neural network model for face mask detection.},
author = {Balasubaramanian S and Cyriac R and Roshan S and Maruthamuthu Paramasivam K and Chellanthara Jose B},
year = {2023},
journal = {Array (New York, N.Y.)},
doi = {10.1016/j.array.2023.100294},
url = {https://doi.org/10.1016/j.array.2023.100294}
}RIS
TY - JOUR TI - An effective stacked autoencoder based depth separable convolutional neural network model for face mask detection. AU - Balasubaramanian S AU - Cyriac R AU - Roshan S AU - Maruthamuthu Paramasivam K AU - Chellanthara Jose B PY - 2023 JO - Array (New York, N.Y.) DO - 10.1016/j.array.2023.100294 UR - https://doi.org/10.1016/j.array.2023.100294 ER -
APA
S, B., R, C., S, R., K, M. P., & B, C. J. (2023). An effective stacked autoencoder based depth separable convolutional neural network model for face mask detection.. Array (New York, N.Y.). https://doi.org/10.1016/j.array.2023.100294
Source records
- pubmed · retrieved 2026-09-26T23:10:23.762Z