In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
When students first learn programming, they often rely on a simple operational model of a program’s behavior to explain how particular features work. Because such models build o...
In this paper, the dynamic multi-swarm particle swarm optimizer (DMS-PSO) and a sub-regional harmony search (SHS) are hybridized to obtain DMS-PSO-SHS. A Modified multi-trajectory ...
Given the growth in application-specific processors, there is a strong need for a retargetable modeling framework that is capable of accurately capturing complex processor behavi...
Meta-modeling is well known to define the basic concepts of domain-specific languages in an object-oriented way. Based on graph transformation, an abstract meta-model may be enhanc...