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Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach

Research article (Journal of Ubiquitous Computing and Communication Technologies, 2021) · cited 24× · AI/ML
academia openalex:W3186408278
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Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach

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Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach is a scholarly article[1].

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  • Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-two-stage-identification-for-face-mask-detection-using-multiclass-deep-learning-approach
MLA “Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-two-stage-identification-for-face-mask-detection-using-multiclass-deep-learning-approach.
BibTeX @misc{4ortxyz_efficient-two-stage-identification-for-face-mask-detection-using-multiclass-deep-learning-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-two-stage-identification-for-face-mask-detection-using-multiclass-deep-learning-approach}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach — https://4ort.xyz/entity/efficient-two-stage-identification-for-face-mask-detection-using-multiclass-deep-learning-approach (retrieved 2026-05-24)

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