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Updated: Jul 23, 2025

Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic
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FMDNet:在公共场所的COVID-19大流行期间,基于轻量级模型的有效面具检测系统

J V Bibal Benifa1, Channabasava Chola1, Abdullah Y Muaad2

  • 1Department of Computer Science and Engineering, Indian Institute of Information Technology Kottayam, Kottayam 686635, India.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
概括

一个新的深度学习模型,FMDNet,使用人工智能准确地检测公共场合的面罩协议违规行为. 这种轻量级的实时系统达到99.0%的准确性,帮助政府执行标准操作程序 (SOP).

关键词:
在 COVID-19 疫情中,一个面具,一个面具.移动网络V2 移动网络V2这就是SARS CoV-2病毒.世界卫生组织世界卫生组织.人工智能的人工智能是人工智能.深度学习是一种深度学习.流行病是一种流行病.监控监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督

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