The provision of embedding neural networks into software applications can enable variety of Artificial Intelligence systems for individual users as well as organizations. Previous...
This article describes a new software-based on-line memory compression algorithm for embedded systems and presents a method of adaptively managing the uncompressed and compressed ...
As embedded systems grow in size and complexity, an operating system has become essential to simplify the design of system software, for which more accurate analysis of its impact...
The increasing complexity and software content of embedded systems has led to the common use of sophisticated system software that helps applications use the underlying hardware r...
Robert P. Dick, Ganesh Lakshminarayana, Anand Ragh...
We present an approach to the analysis and optimization of heterogeneous distributed embedded systems for hard real-time applications. The systems are heterogeneous not only in te...