Scientists increasingly rely on the execution of workflows in grids to obtain results from complex mixtures of applications. However, the inherently dynamic nature of grid workflo...
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
A stochastic genetic toggle switch model that consists of two identical, mutually repressive genes is built using the Gillespie algorithm with time delays as an example of a simpl...
— Haptics, like the fields of robotics and motion control, relies on high stiffness position control of electric motors. Traditionally DC motors are driven by current amplifier...
—A system that could automatically analyze the facial actions in real time has applications in a wide range of different fields. However, developing such a system is always chall...