Although timetabling has long been studied through constraint satisfaction based techniques, along with many alternatives, only recently work has been reported where distributed t...
Co-design modeling is considered key toward handling the complexity and scale of network systems. The ability to separately specify the software and hardware aspects of computer n...
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Computational grids are now widespread, but their large-scale behaviour is still poorly understood. We report on some calculations of loading, scaling and utilisation behaviours o...
Fuzzy ARTMAP (FAM) is one of the best neural network architectures in solving classification problems. One of the limitations of Fuzzy ARTMAP that has been extensively reported in...
Ahmad Al-Daraiseh, Michael Georgiopoulos, Annie S....