Performance of Machine Learning Models for Pandemic Detection Using COVID-19 Dataset-Reference-Cited by-同舟云学术

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Performance of Machine Learning Models for Pandemic Detection Using COVID-19 Dataset

Published:2023-09-20 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE AFRICON
language:
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Author:

Ajagbe Sunday Adeola¹^ORCID,Adegun Adekanmi Adeyinka²^ORCID,Mudali Pragasen¹^ORCID,Adigun Matthew Olusegun¹^ORCID

Affiliation:

1. University of Zululand,Department of Computer Science,Kwadlangezwa,South Africa,3886

2. School of Mathematics, Statistics and Computer Science, University of Kwazulu-Natal,South Africa

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10293181/10293212/10293525.pdf?arnumber=10293525

Reference23 articles.

1. Plant disease classification using image segmentation and SVM techniques;elangovan;International Journal of Computational Intelligence Research,2017

2. Review on the Evaluation and Development of Artificial Intelligence for COVID-19 Containment

3. predcovid-19: a system-atic study of clinical predictive models for coronavirus disease 2019;schwab;ArXiv Preprint,2020

4. Use of K-Nearest Neighbor classifier for intrusion detection

5. Plant Disease Detection Using Machine Learning

Cited by 1 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. Internet of Things with Deep Learning Techniques for Pandemic Detection: A Comprehensive Review of Current Trends and Open Issues;Electronics;2024-07-04

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