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A novel hybrid evolutionary mating algorithm for Covid19 confirmed cases prediction based on vaccination

Microorganisms may cause illness when they enter the body, multiply, and spread to other parts. The rapid spread of COVID-19 to neighboring countries is examined in this research. Anticipating a positive COVID-19 occurrence helps in determining risks and creating countermeasures. As a result, develo...

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Bibliographic Details
Main Authors: Ahmed, Marzia, Ahmad Johari, Mohamad, Rahman, Mostafijur, Mohd Herwan, Sulaiman, Abul Kashem, Mohammod
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2023
Subjects:
RA Public aspects of medicine
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/37861/1/A%20novel%20hybrid%20evolutionary%20mating%20algorithm%20for%20Covid19%20.pdf
http://umpir.ump.edu.my/id/eprint/37861/2/A%20Novel%20Hybrid%20Evolutionary%20Mating%20Algorithm_FULL.pdf
http://umpir.ump.edu.my/id/eprint/37861/
https://doi.org/10.1109/NCIM59001.2023.10212867
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Internet

http://umpir.ump.edu.my/id/eprint/37861/1/A%20novel%20hybrid%20evolutionary%20mating%20algorithm%20for%20Covid19%20.pdf
http://umpir.ump.edu.my/id/eprint/37861/2/A%20Novel%20Hybrid%20Evolutionary%20Mating%20Algorithm_FULL.pdf
http://umpir.ump.edu.my/id/eprint/37861/
https://doi.org/10.1109/NCIM59001.2023.10212867

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