STRENUOUS: Edge-Line Computing, AI, and IIoT Enabled GPS Spatiotemporal Data-Based Meta-Transmission Healthcare Ecosystem for Virus Outbreaks Discovery-Reference-Cited by-同舟云学术

STRENUOUS: Edge-Line Computing, AI, and IIoT Enabled GPS Spatiotemporal Data-Based Meta-Transmission Healthcare Ecosystem for Virus Outbreaks Discovery

Published:2023-02-15 Issue:4 Volume:10 Page:3285-3294
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Ghayvat Hemant¹^ORCID,Pandya Sharnil²^ORCID,Awais Muhammad³^ORCID,Dev Kapal⁴^ORCID

Affiliation:

1. Department of Computer Science and Media Technology and eHealth Institute, Linnaeus University, Vaxjo, Sweden

2. Faculty of Engineering, Symbiosis International University (Deemed University), Pune, India

3. Department of Electronic Engineering, School of Information Science and Technology, Center for Intelligent Medical Electronics, Fudan University, Shanghai, China

4. Department of Institute of Intelligent Systems, University of Johannesburg, Johannesburg, South Africa

Funder

Eurotech MSCA H2020

Smart Aging-Based Anomaly Detection

ARC ITRH for Digital Enhances Living Deakin University

KU Faculty of Health and Medical Sciences and DTU

REACH H2020 Responsive Engagement of the Elderly Promoting Activity and Customized Healthcare

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10038283/09695959.pdf?arnumber=9695959

Reference15 articles.

1. CP-BDHCA: Blockchain-based confidentiality-privacy preserving big data scheme for healthcare clouds and applications;ghayvat;IEEE J Biomed Health Informat,2021

2. Infectious Disease Transmission via Aerosol Propagation from a Molecular Communication Perspective: Shannon Meets Coronavirus

3. Multi-Access Edge Computing in Action

4. Analysis of COVID-19 Tracking Tool in India

5. Mobility Predictions for IoT Devices Using Gated Recurrent Unit Network

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