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Coronavirus Disease 2019 (COVID-19) spreads rapidly and is easily contracted by
individuals who come near infected persons. With this nature and rapid spread of the …

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Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data

W Ding, J Nayak, H Swapnarekha, A Abraham, B Naik… - Neurocomputing, 2021 - Elsevier

The unprecedented surge of a novel coronavirus in the month of December 2019, named as
COVID-19 by the World Health organization has caused a serious impact on the health and …

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[PDF] sciencedirect.com

SafeMobility: An IoT-based System for safer mobility using machine learning in the age of COVID-19

D Yacchirema, A Chura - Procedia Computer Science, 2021 - Elsevier

In the face of the COVID-19 pandemic and the absence of a vaccine or an effective treatment
against the virus, the available studies show that today, the most effective measure for …

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An Autonomous IoT-based Contact Tracing Platform in a COVID-19 Patient Ward

A Rathnayaka, MEG Gendy, F Wu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org

Since 2020, the coronavirus disease (COVID-19) pandemic has had a substantial impact on
all community sectors worldwide, particularly the healthcare sector. Healthcare workers …

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Monitoring social distancing in smart spaces using infrastructure-based sensors

NH Motlagh, P Toivonen, MA Zaidan… - 2021 IEEE 7th World …, 2021 - ieeexplore.ieee.org

Social distancing is a critical tool for mitigating disease transmission, particularly in crowded
indoor spaces. In this paper, we contribute by assessing the feasibility of re-purposing …

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Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data

SafeMobility: An IoT-based System for safer mobility using machine learning in the age of COVID-19

An Autonomous IoT-based Contact Tracing Platform in a COVID-19 Patient Ward

Monitoring social distancing in smart spaces using infrastructure-based sensors