An Unsupervised Machine Learning Model for Discovering the Impact of Social Networks on Students’ Behavior and Health in a COVID-19 Case Study-Reference-Cited by-同舟云学术

An Unsupervised Machine Learning Model for Discovering the Impact of Social Networks on Students’ Behavior and Health in a COVID-19 Case Study

Published:2024 Issue: Volume: Page:173-184
ISSN:1871-3041
Container-title:Technical and Vocational Education and Training: Issues, Concerns and Prospects
language:en
Short-container-title:

Author:

Badran Sherif,Allaymoun Mohammad

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-7798-7_14

Reference22 articles.

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3. Allaymoun, M. H., Khaled, M., Saleh, F., & Merza, F. (2022, April). Data visualization and statistical graphics in big data analysis by Google Data Studio–Sales Case Study. In 2022 IEEE technology and engineering management conference (TEMSCON EUROPE) (pp. 228–234). IEEE.

4. Allaymoun, M. H., & Shorman, S. M. (2022). Individual self-assessment using feedback system to improve e-learning in case of Corona-19 pandemic. International Journal of Information and Education Technology, 12(8), 802.

5. Alyasseri, Z. A. A., Al-Betar, M. A., Doush, I. A., Awadallah, M. A., Abasi, A. K., Makhadmeh, S. N., Alomari, O. A., Abdulkareem, K. H., Adam, A., Damasevicius, R., Mohammed, M. A., & Zitar, R. A. (2021). Review on COVID-19 diagnosis models based on machine learning and deep learning approaches. Willy Public Health Emergency Collection.