An effective stacked autoencoder based depth separable convolutional neural network model for face mask detection

Research article (Array, 2023) · cited 12× · AI/ML
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An effective stacked autoencoder based depth separable convolutional neural network model for face mask detection

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An effective stacked autoencoder based depth separable convolutional neural network model for face mask detection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An effective stacked autoencoder based depth separable convolutional neural network model for face mask detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-effective-stacked-autoencoder-based-depth-separable-convolutional-neural-network-model-for-face-mask-detection
MLA “An effective stacked autoencoder based depth separable convolutional neural network model for face mask detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-effective-stacked-autoencoder-based-depth-separable-convolutional-neural-network-model-for-face-mask-detection.
BibTeX @misc{4ortxyz_an-effective-stacked-autoencoder-based-depth-separable-convolutional-neural-network-model-for-face-mask-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An effective stacked autoencoder based depth separable convolutional neural network model for face mask detection}}, year = {2026}, url = {https://4ort.xyz/entity/an-effective-stacked-autoencoder-based-depth-separable-convolutional-neural-network-model-for-face-mask-detection}, note = {Accessed: 2026-05-24}}
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