Memory is often considered to be embedded into one of the attractors in neural dynamical systems, which provides an appropriate output depending on the initial state specified by ...
In this paper, we introduce a deterministic fluid model and two stochastic traffic models for wireless networks. The setting is a highway with multiple entrances and exits. Vehicl...
—This paper describes a system-level modeling method in UML for performance evaluation of embedded systems. The core technology of this modeling method is reverse modeling based ...
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
In component based software engineering, an application is build by composing trusted and reusable units of execution, the components. A composition is formed by connecting the com...