We present an approach for nonlinear optimization of the parameters of an endoscopic camera mounted on a surgery robot. The goal is to generate a depth map for each image in order...
Differential Evolution (DE) has attracted much attention recently as an effective approach for solving numerical optimization problems. However, the performance of DE is sensitive ...
Optimal linear predictors can be utilised in ABR control algorithms for the management of self-similar network traffic. However, estimates of the Hurst parameter are required to ge...
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
We have previously proposed a diffusion-type flow control mechanism as a solution for severely time-sensitive flow control required for high-speed networks. In this mechanism, each...