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A Deep-Learning-Based Edge-Centric COVID-19-Like Pandemic Screening and Diagnosis System within a B5G Framework Using Blockchain
IEEE NETWORK ( IF 6.8 ) Pub Date : 3-26-2021 , DOI: 10.1109/mnet.011.2000326
Ghulam Muhammad , M. Shamim Hossain

Beyond 5G (B5G) has the potential of realizing all three pillars of 5G, which are massive type communication, ultra-reliable low latency communication, and enhanced mobile broadband. Currently, a COVID-19-like pandemic can utilize B5G to combat the pandemic by using real-time processing of massive volumes of test data at the edge of hospitals and by leveraging seamless communication between the edge and a global core cloud to update any diagnosis or predicting model globally. In this article, we propose an artificial-intelligence-enabled edge-centric COVID-19 screening and diagnosis system using the B5G network. Furthermore, we use blockchain-based secure transmission of patients' data in the edge. The proposed system uses screening and diagnosis in the edge by using powerful edge devices that can run deep learning (DL) models. The DL models can be downloaded from the core cloud to the edge server or uploaded to the core cloud when necessary.

中文翻译:


使用区块链的 B5G 框架内基于深度学习、以边缘为中心的类似 COVID-19 的流行病筛查和诊断系统



超越5G(B5G)有潜力实现5G的全部三大支柱,即大规模通信、超可靠低延迟通信和增强型移动宽带。目前,类似COVID-19的大流行可以利用B5G来对抗大流行,通过在医院边缘实时处理大量测试数据,并利用边缘和全球核心云之间的无缝通信来更新任何诊断或全局预测模型。在本文中,我们提出了一种使用 B5G 网络的人工智能支持的以边缘为中心的 COVID-19 筛查和诊断系统。此外,我们在边缘使用基于区块链的患者数据安全传输。所提出的系统通过使用可以运行深度学习(DL)模型的强大边缘设备在边缘进行筛查和诊断。深度学习模型可以从核心云下载到边缘服务器,也可以在需要时上传到核心云。
更新日期:2024-08-22
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