where T is a threshold parameter.
In these functions, τ is a threshold parameter and σ a steepness parameter.
LPN + h ˜ n 1 - p, (42) where ?LPN?=?µ1 LPN/10, ?L 0N is a regularization parameter, and ?LPN?>?0 is a threshold parameter.
In such models, there is a threshold parameter that might tell whether a population will increase or die out, or whether an infectious disease will persist or die out within a population.
Weight Publisher WP i,j) enlarges its weight (widetilde {w}(i,j)): (w i,j) = widetilde {w}(i,j + t_{w} times (j-i)) where t w is a threshold parameter of WP i,j).
Typical choices of g are: g(t)=frac{1}{1+lefrac{tc{t}{lambda}right)^{2}} qquad text{or}qquad g(t)=expleft -frac{t^{2}}{2:lambda^{2}}right), where λ>1 is a threshold parameter that determines the size of the gradients which will be preserved and g is a decreasing function worth λ where |∇u| is close to 0 and tend to 0 for large |∇u|.
To obtain the scale σ shown in Fig. 2 we chose the FitzHugh-Nagumo equations and g u,v) = (u+β)/25, where β is a threshold parameter that selects the pattern.
They have stated that "If R0 is greater than one then the outbreak will lead to an epidemic, and if R0 is less than one then the outbreak will become extinct" [6]; thus they have assumed that R0 is a threshold parameter that establishes whether an outbreak yields an epidemic or not.
There is a threshold parameter TD1 for this operation, which is the difference between the negative peaks and their neighborhood.
The final term h a is a threshold parameter for the sigmoid Φ u a ), which represents the regulatory influence of ubiquitous maternal factors.
