B5G-enabled distributed artificial intelligence on edges for COVID-19 pandemic outbreak prediction

MR Hassan, MM Hassan, M Altaf, MS Yeasar… - Ieee …, 2021 - ieeexplore.ieee.org
In this study, we leverage the fusion of edge computing, artificial intelligence (AI) methods,
and facilities provided by B5G to build a heterogeneous set of AI techniques for COVID-19 …

A deep-learning-based edge-centric COVID-19-like pandemic screening and diagnosis system within a B5G framework using blockchain

G Muhammad, MS Hossain - IEEE Network, 2021 - ieeexplore.ieee.org
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 …

A Distributed Ensemble of Diverse Deep Learning Models for Predicting COVID-19 Cases

MM Hassan, MS AlRakhami, AZ Elhendi… - IEEE EUROCON …, 2023 - ieeexplore.ieee.org
The outbreak of the COVID-19 pandemic has resulted in a significant impact on global
health and economy. Forecasting the spread of COVID-19 cases is essential for …

Explainable AI and mass surveillance system-based healthcare framework to combat COVID-I9 like pandemics

MS Hossain, G Muhammad, N Guizani - IEEE network, 2020 - ieeexplore.ieee.org
Tactile edge technology that focuses on 5G or beyond 5G reveals an exciting approach to
control infectious diseases such as COVID-19 internationally. The control of epidemics such …

Random forest for data aggregation to monitor and predict COVID-19 using edge networks

M Adhikari, M Ambigavathi, VG Menon… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Medical sensors and distributed edge networks hold promise in advanced control and
prediction of infectious diseases, such as COVID-19. Their integration can lower …

B5G and explainable deep learning assisted healthcare vertical at the edge: COVID-I9 perspective

MA Rahman, MS Hossain, NA Alrajeh… - IEEE Network, 2020 - ieeexplore.ieee.org
B5G-based tactile edge learning shows promise as a solution to handle infectious diseases
such as COVID-19 at a global level. By leveraging edge computing with the 5G RAN …

Pandemic management for diseases similar to COVID-19 using deep learning and 5G communications

G Muhammad, S Alqahtani, A Alelaiwi - Ieee Network, 2021 - ieeexplore.ieee.org
The COVID-19 pandemic has had an unprecedented effect on the world. The pandemic has
caused considerable death and suffering, triggered economic downturns, and led to …

[HTML][HTML] Hybrid-based framework for COVID-19 prediction via federated machine learning models

A Kallel, M Rekik, M Khemakhem - The Journal of supercomputing, 2022 - Springer
Abstract The COronaVIrus Disease 2019 (COVID-19) pandemic is unfortunately highly
transmissible across the people. In order to detect and track the suspected COVID-19 …

Pervasive Communications Technologies For Managing Pandemics

M Ilyas, B Qureshi - 2020 First International Conference of …, 2020 - ieeexplore.ieee.org
Pandemics always have had serious consequences unless they were effectively contained.
Recent experiences with COVID-19 show that by using a smart and swift approach to deal …

Edge intelligence-assisted smart healthcare solution for health pandemic: a federated environment approach

A Manocha, SK Sood, M Bhatia - Cluster Computing, 2024 - Springer
Deep Learning (DL) has emerged as the most effective approach for COVID-19 detection,
but privacy concerns hinder its performance due to limited data sharing by medical …