Artificial intelligence(AI) is almost everywhere due to the rapid development of modern technology and popularity of intelligent devices.While control theory and machine learning techniques as two enabling technologie...Artificial intelligence(AI) is almost everywhere due to the rapid development of modern technology and popularity of intelligent devices.While control theory and machine learning techniques as two enabling technologies have shown enormous power in their own right,a rapprochement of them is required to handle nonlinearity,uncertainty and scalability induced by high complexity of modern systems,huge quantity of real-time data,and large scale of agent networks.展开更多
A model which incorporates some of the basic epidemiological features of the co- dynamics of malaria and tuberculosis （TB） is formulated and the effectiveness of current intervention strategies of these two diseases...A model which incorporates some of the basic epidemiological features of the co- dynamics of malaria and tuberculosis （TB） is formulated and the effectiveness of current intervention strategies of these two diseases is analyzed. The malaria-only and TB-only models are considered first. Global stability disease-free steady states of the two sub- models does not hold due to the co-existence of stable disease-free with stable endemic equilibria, a phenomenon known as backward bifurcation. The dynamics of the dual malari^TB model with intervention strategies are also analyzed. Numerical simulations of the malaria-TB model are carried out to determine whether the two diseases can co- exist. Lastly, sensitivity analysis on key parameters that drive the disease dynamics is performed in order to identify their relative importance to disease transmission.展开更多
文摘Artificial intelligence(AI) is almost everywhere due to the rapid development of modern technology and popularity of intelligent devices.While control theory and machine learning techniques as two enabling technologies have shown enormous power in their own right,a rapprochement of them is required to handle nonlinearity,uncertainty and scalability induced by high complexity of modern systems,huge quantity of real-time data,and large scale of agent networks.
文摘A model which incorporates some of the basic epidemiological features of the co- dynamics of malaria and tuberculosis （TB） is formulated and the effectiveness of current intervention strategies of these two diseases is analyzed. The malaria-only and TB-only models are considered first. Global stability disease-free steady states of the two sub- models does not hold due to the co-existence of stable disease-free with stable endemic equilibria, a phenomenon known as backward bifurcation. The dynamics of the dual malari^TB model with intervention strategies are also analyzed. Numerical simulations of the malaria-TB model are carried out to determine whether the two diseases can co- exist. Lastly, sensitivity analysis on key parameters that drive the disease dynamics is performed in order to identify their relative importance to disease transmission.
