A machine learning computational approach for the mathematical anthrax disease system in animals.

Journal: PloS one

PMID: 40168359

Abstract

OBJECTIVES: The current research investigations present the numerical solutions of the anthrax disease system in animals by designing a machine learning stochastic procedure. The mathematical anthrax disease system in animals is classified into susceptible, infected, recovered and vaccinated.

Authors

Zulqurnain Sabir

Department of Mathematics and Statistics, Hazara University, Mansehra, Pakistan.
Eman Simbawa

Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.

Keywords

Algorithms Animals Anthrax Bacillus anthracis Bayes Theorem Machine Learning Stochastic Processes

External Resources

View on PubMed Access via DOI PubMed (40168359)

A machine learning computational approach for the mathematical anthrax disease system in animals.

Abstract

Authors

Keywords

External Resources

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