Dynamic User-Centric Clustered Workplaces for COVID-19 Control Measures Based on Geofencing and Deep Learning-Reference-Cited by-同舟云学术

Dynamic User-Centric Clustered Workplaces for COVID-19 Control Measures Based on Geofencing and Deep Learning

Published:2022-03-11 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Machine Learning Technologies (ICMLT)
language:
Short-container-title:

Author:

Mostafa Abdelkhalek Ahmed¹,Magdy Mohamed Noor El-Deen²,Mahmoud Abdelhakam Mostafa¹,Mohamed Elmesalawy Mahmoud¹

Affiliation:

1. Electronics and Communications Engineering Department, Faculty of Engineering,Helwan University, Egypt

2. Computer and Systems Engineering Department, Faculty of Engineering,Helwan University, Egypt

Funder

Science, Technology & Innovation Funding Authority (STDF)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3529399.3529435

Reference23 articles.

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3. Identifying tourist experiences in Maui, Hawaii using mobile location data

4. GEO-COVID: MOVEMENT MONITORING BASED ON GEO-FENCE FRAMEWORK FOR COVID-19 PANDEMIC CRISIS

5. S. Pešić , M. Radovanović , M. Tošić , M. Ivanović , O. Iković , and D. Bošković , “ GEMAT - Internet of things solution for indoor security geofencing ,” Sep. 2019 , doi: 10.1145/3351556.3351558. 10.1145/3351556.3351558 S. Pešić, M. Radovanović, M. Tošić, M. Ivanović, O. Iković, and D. Bošković, “GEMAT - Internet of things solution for indoor security geofencing,” Sep. 2019, doi: 10.1145/3351556.3351558.

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1. A Machine Learning Approach for Movement Monitoring in Clustered Workplaces to Control COVID-19 Based on Geofencing and Fusion of Wi-Fi and Magnetic Field Metrics;Sensors;2022-07-28