The field of the Internet of Things (IoT) is expanding rapidly and shows the potential to complet... more The field of the Internet of Things (IoT) is expanding rapidly and shows the potential to completely transform the healthcare sector. The integration of machine learning algorithms in Internet of Medical Things (IoMT) systems has shown the potential to revolutionize healthcare by enabling efficient, accurate, and privacy-preserving services. However, the limitations of existing IoMT models pose significant challenges that need to be addressed to achieve sustainability in their adoption. Some of these challenges include energy consumption, complex data scheduling, low-latency models, privacy, joint offloading, limited data, and data security. There is a need to explore various novel architectures, develop new training and optimization techniques such as generative adversarial networks and stochastic gradient descent variants, and developed interpretative models to help in the decision-making process. Additionally, designing IoMT models that are suitable for low-resource environments ...
UNSTRUCTURED The model equations which exhibits the disease-free equilibrium (E_0 ) state for COV... more UNSTRUCTURED The model equations which exhibits the disease-free equilibrium (E_0 ) state for COVID-19 coronavirus does not exist and hence does not satisfy the criteria for a locally or globally asymptotic stability when the basic reproductive number R_0=1 for and endemic situation. This implies that the COVID-19 coronavirus does not have a curative vaccine yet and precautionary measures are advised through quarantine and observatory procedures. The basic reproductive number was found to be R_0<1 and hence shows that there is a chance of decline of secondary infections when the ratio between the incidence rate in the population and the total number of infected population quarantined with observatory procedure. Furthermore, numerical simulations were carried to complement the analytical results in investigating the effect of the implementation of quarantine and observatory procedures has on the projection of the further spread of the virus globally. Result shows that the proporti...
With sensitivity of the Polymerase Chain Reaction (PCR) test used to detect the presence of the v... more With sensitivity of the Polymerase Chain Reaction (PCR) test used to detect the presence of the virus in the human host, the global health community has been able to record a great number of recovered population. Therefore, in a bid to answer a burning question of reinfection in the recovered class, the model equations which exhibits the disease-free equilibrium (E0) state for COVID-19 coronavirus was developed in this study and was discovered to both exist as well as satisfy the criteria for a locally or globally asymptotic stability with a basic reproductive number R0 = 0 for and endemic situation. Hence, there is a chance of no secondary reinfections from the recovered population as the rate of incidence of the recovered population vanishes, that is, B = 0.Furthermore, numerical simulations were carried to complement the analytical results in investigating the effect of the implementation of quarantine and observatory procedures has on the projection of the further spread of the ...
The field of the Internet of Things (IoT) is expanding rapidly and shows the potential to complet... more The field of the Internet of Things (IoT) is expanding rapidly and shows the potential to completely transform the healthcare sector. The integration of machine learning algorithms in Internet of Medical Things (IoMT) systems has shown the potential to revolutionize healthcare by enabling efficient, accurate, and privacy-preserving services. However, the limitations of existing IoMT models pose significant challenges that need to be addressed to achieve sustainability in their adoption. Some of these challenges include energy consumption, complex data scheduling, low-latency models, privacy, joint offloading, limited data, and data security. There is a need to explore various novel architectures, develop new training and optimization techniques such as generative adversarial networks and stochastic gradient descent variants, and developed interpretative models to help in the decision-making process. Additionally, designing IoMT models that are suitable for low-resource environments ...
UNSTRUCTURED The model equations which exhibits the disease-free equilibrium (E_0 ) state for COV... more UNSTRUCTURED The model equations which exhibits the disease-free equilibrium (E_0 ) state for COVID-19 coronavirus does not exist and hence does not satisfy the criteria for a locally or globally asymptotic stability when the basic reproductive number R_0=1 for and endemic situation. This implies that the COVID-19 coronavirus does not have a curative vaccine yet and precautionary measures are advised through quarantine and observatory procedures. The basic reproductive number was found to be R_0<1 and hence shows that there is a chance of decline of secondary infections when the ratio between the incidence rate in the population and the total number of infected population quarantined with observatory procedure. Furthermore, numerical simulations were carried to complement the analytical results in investigating the effect of the implementation of quarantine and observatory procedures has on the projection of the further spread of the virus globally. Result shows that the proporti...
With sensitivity of the Polymerase Chain Reaction (PCR) test used to detect the presence of the v... more With sensitivity of the Polymerase Chain Reaction (PCR) test used to detect the presence of the virus in the human host, the global health community has been able to record a great number of recovered population. Therefore, in a bid to answer a burning question of reinfection in the recovered class, the model equations which exhibits the disease-free equilibrium (E0) state for COVID-19 coronavirus was developed in this study and was discovered to both exist as well as satisfy the criteria for a locally or globally asymptotic stability with a basic reproductive number R0 = 0 for and endemic situation. Hence, there is a chance of no secondary reinfections from the recovered population as the rate of incidence of the recovered population vanishes, that is, B = 0.Furthermore, numerical simulations were carried to complement the analytical results in investigating the effect of the implementation of quarantine and observatory procedures has on the projection of the further spread of the ...
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Papers by Alexander Victor Okhuese