Enhancing Social Divergence Using Genetic Algorithms and Linked Open Data for Improving Immunity System Against COVID-19-Reference-Cited by-同舟云学术

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Enhancing Social Divergence Using Genetic Algorithms and Linked Open Data for Improving Immunity System Against COVID-19

Published:2022 Issue: Volume: Page:353-368
ISSN:2522-8595
Container-title:International Conference on Computing, Communication, Electrical and Biomedical Systems
language:
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Author:

Hadi Asaad Sabah

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-86165-0_29

Reference18 articles.

1. Dhama, K., et al.: Coronavirus disease 2019 – COVID-19. Preprints. 2020, 2020030001. https://doi.org/10.20944/preprints202003.0001.v2

2. World Health Organization: Coronavirus disease 2019 (COVID-19): situation report, 115, World Health Organization (2020)

3. Filho, J.R., Alippi, C., Treleaven, P.: Genetic algorithm programming environments. Computer. 27(6), 28–43 (1994)

4. Chakkarwar, V.A., Joshi, A.A.: Semantic web mining using RDF data. Int. J. Comput. Appl. 133(10), 14–19 (2016)

5. Hojjat Adeli , Kamal C. Sarma , “Cost Optimization of Structures, Fuzzy Logic, Genetic Algorithms,and Parallel Computing”, john whiley & Son (2006)

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. Genetic Algorithm Applications for Challenging Real-World Problems: Some Recent Advances and Future Trends;Applied Genetic Algorithm and Its Variants;2023

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