COVID-19 contact tracking based on person reidentification and geospatial data-Reference-Cited by-同舟云学术

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COVID-19 contact tracking based on person reidentification and geospatial data

Published:2023-05 Issue:5 Volume:35 Page:101558
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Zhang Boxing,Lei Huan,Cai Yingjie,Zhong Zhenyu,Jiao Zeyu

Funder

Natural Science Foundation of Guangdong Province

Special Project for Research and Development in Key areas of Guangdong Province

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Elsevier BV

Subject

General Computer Science

Reference49 articles.

1. Covid-19 contact tracing and data protection can go together;Abeler;JMIR mHealth uHealth,2020

2. A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion;Ali;Informat Fusion,2020

3. An intelligent healthcare monitoring framework using wearable sensors and social networking data;Ali;Future Generat. Comput. Syst.,2021

4. Bidirectional contact tracing could dramatically improve covid-19 control;Bradshaw;Nat Commun.,2021

5. Using modified technology acceptance model to evaluate the adoption of a proposed iot-based indoor disaster management software tool by rescue workers;Brar;Sensors,2022

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