ArticleProcedia computer science2022
Deep Learning Models for Multiple Face Mask Detection under a Complex Big Data Environment.
Article in Procedia computer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Cardiac activity monitoring for the heart rate classification with enhanced BiLSTM model.Scientific reports · 2026Article
- A novel adaptive transformer based quantum intrusion detection system for software defined networks.Scientific reports · 2025Article
- Motor imagery EEG signal classification using novel deep learning algorithm.Scientific reports · 2025Article
- A generative adversarial network-based accurate masked face recognition model using dual scale adaptive efficient attention network.Scientific reports · 2025Article
- An optimal federated learning-based intrusion detection for IoT environment.Scientific reports · 2025Article
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Authors and funding
4 authors.
Funding
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Abstract
The Covid-19 (coronavirus) pandemic creates a worldwide health crisis. According to the WHO, the effective protection system is wearing a face mask in public places. Many studies proved that carrying a face mask is also one of the precautions to decrease the possibility of viral transmission. Strict monitoring of face mask being worn by people is now enforced in many countries. Manual observation and monitoring is quite tedious. Hence, automated systems have been researched using well-kwown face mask detection methods. However, this research paper, deals with some deep learning models which can be effectively used to detect multiple face masks in a crowded environment when the amount of incoming data from sensors is huge or in otherwise stated to a Big data problem. Hence, standalone face detection models are not quite suited. Deep learning models are required in such Big data scenario which forms the essence of this study.
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Registered trials
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