B5G and Explainable Deep Learning Assisted Healthcare Vertical at the Edge: COVID-I9 Perspective

Rahman, Md. Abdur; Hossain, M. Shamim; Alrajeh, Nabil; Guizani, Nadra

doi:10.1109/mnet.011.2000353

Cited by 99 publications

(77 citation statements)

References 14 publications

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“…DL has been used to detect the forehead area and to measure temperature using an infrared camera. In other studies [77][78][79][80], a multimodal DL-based system was proposed that employed smartphone sensors to determine user location and to warn about riskprone areas.…”

Section: Epidemic Prevention Systemsmentioning

confidence: 99%

Edge Intelligence and Internet of Things in Healthcare: A Survey

2021

Self Cite

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Section: Epidemic Prevention Systemsmentioning

confidence: 99%

Edge Intelligence and Internet of Things in Healthcare: A Survey

2021

Self Cite

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“…It is difficult to install the hardware equipment which provides all of the mentioned functionalities. By realizing the functionalities by underlying networks, softwarization and virtualization have emerged as the two most demanding paradigms for B5G/6G networks [68]. Softwarization is the term used for the set of interfaces and protocols which can allow the network to be configured in software by decoupling the control and user plane.…”

Section: Softwarizationmentioning

confidence: 99%

Section: Network Dimensionsmentioning

confidence: 99%

The shift to 6G communications: vision and requirements

Akhtar

Hassan

Ghaffar

et al. 2020

Hum. Cent. Comput. Inf. Sci.

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214

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The sixth-generation (6G) wireless communication network is expected to integrate the terrestrial, aerial, and maritime communications into a robust network which would be more reliable, fast, and can support a massive number of devices with ultra-low latency requirements. The researchers around the globe are proposing cutting edge technologies such as artificial intelligence (AI)/machine learning (ML), quantum communication/quantum machine learning (QML), blockchain, tera-Hertz and millimeter waves communication, tactile Internet, non-orthogonal multiple access (NOMA), small cells communication, fog/edge computing, etc., as the key technologies in the realization of beyond 5G (B5G) and 6G communications. In this article, we provide a detailed overview of the 6G network dimensions with air interface and associated potential technologies. More specifically, we highlight the use cases and applications of the proposed 6G networks in various dimensions. Furthermore, we also discuss the key performance indicators (KPI) for the B5G/6G network, challenges, and future research opportunities in this domain.

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“…In favor of this, researchers are taking global initiatives to use AI as a potentially powerful tool to come up with cost-effective and fast diagnostic procedures to control the ongoing epidemic [32] . The key research goals include COVID-19 transmission, its early diagnosis, development of effective treatment, and understanding its socio-economic impact [4] .…”

Section: Introductionmentioning

confidence: 99%

MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients

Shorfuzzaman

Hossain

2021

Pattern Recognition

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176

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Highlights A Siamese neural network framework for COVID-19 diagnosis from CXR images. Benefit of using contrastive loss and n-shot learning in design of the framework. A fine-tuned pre-trained CNN encoder to capture unbiased feature representations. The diagnosis problem is formulated as a k-way n-shot classification problem. Experimental results with a limited dataset to show efficacy of the framework.

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B5G and Explainable Deep Learning Assisted Healthcare Vertical at the Edge: COVID-I9 Perspective

Cited by 99 publications

References 14 publications

Edge Intelligence and Internet of Things in Healthcare: A Survey

Edge Intelligence and Internet of Things in Healthcare: A Survey

The shift to 6G communications: vision and requirements

MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients

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