One central issue in system structuring and quality prediction is the interdependencies of system modules. This paper proposes a novel technique for determining the operational co...
Applying Vector Autoregression (VAR) and genetic algorithm (GA) in hybrid systems with neural network can improve the NN's prediction capability. Two case studies have been ca...
Current software component models insufficiently reflect the different stages of component life-cycle, which involves design, implementation, deployment, and runtime. Therefore, re...
We propose a parallel and distributed component framework for building Grid applications, adapted to the hierarchical, highly distributed, highly heterogeneous nature of Grids. Thi...
Reconfiguration and self-adaptation are vital capabilities of sensor networks and networked embedded systems that are required to operate in dynamic environments. This paper prese...
Sachin Kogekar, Sandeep Neema, Xenofon D. Koutsouk...