Background: The development, in the last decade, of stochastic heuristics implemented in robust application softwares has made large phylogeny inference a key step in most compara...
Most of current embedded control software (ECSW) development techniques deal only with performance specifications during the early software design phase and delay the modeling and...
In this paper, we present a model-driven approach to RTOS-based embedded software development and an automated tool that can produce RTOS-specific code. Our contributions are two ...
Reconfigurable software is highly desired for automated machine tool control systems for low-cost products and short time to market. In this paper, we propose a software architectu...
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...