This paper is focused on estimating the quality of the sample mean from a steady-state simulation experiment with consideration of computational efficiency, memory requirement, an...
— This paper addresses a method to optimize the robot motion planning in dynamic environments, avoiding the moving and static obstacles while the robot drives towards the goal. T...
A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
Since their conception half a century ago Hebbian cell assemblies have become a basic term in the Neurosciences, and the idea that learning takes place through synaptic modi catio...
Conventional relaxed memory ordering techniques follow a proactive model: at a synchronization point, a processor makes its own updates to memory available to other processors by ...
Christoph von Praun, Harold W. Cain, Jong-Deok Cho...