Innovating Educational Policies with Machine Learning in the Covid-19 Pandemic-Reference-Cited by-同舟云学术

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Innovating Educational Policies with Machine Learning in the Covid-19 Pandemic

Published:2021-12-15 Issue: Volume: Page:
ISSN:
Container-title:2021 Machine Learning-Driven Digital Technologies for Educational Innovation Workshop
language:
Short-container-title:

Author:

Shuja Junaid¹,Humayun Mohammad Ali²,Ur Rehman Muhammad Habib³

Affiliation:

1. COMSATS University, Islamabad,Department of Computer Science,Abbottabad,Pakistan

2. University Brunei Darussalam,Faculty of Integrated Technologies,Brunei,Brunei Darussalam

3. Khalifa University of Science and Technology,Department of Electrical and Computer Engineering,UAE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9733403/9733747/09733754.pdf?arnumber=9733754

Reference29 articles.

1. Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements

2. Evaluating the Dynamics of Bluetooth Low Energy Based COVID-19 Risk Estimation for Educational Institutes

3. A review of smart contract-based platforms, applications, and challenges

4. SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic

5. Multicast at Edge: An Edge Network Architecture for Service-Less Crowdsourced Live Video Multicast

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A global perspective of government initiatives to support higher education during the COVID-19 pandemic: A systematic review of literature;Research in Globalization;2024-06

2. A user satisfaction model for mobile government services: a literature review;PeerJ Computer Science;2022-08-22

3. Student Authentication and Proctoring System Using AI and the IoT;2022 2nd International Conference on Computing and Machine Intelligence (ICMI);2022-04-15

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