Symbolic rewriting systems are gaining interest as tools for simulating biochemical dynamics. Compared to traditional methods based on differential equations, the symbolic approac...
Increasing demands upon embedded systems for higher level services like networking, user interfaces and file system management, are driving growth in fully-featured operating syst...
We investigate the use of a morphological neural network to improve the performance of information retrieval systems. A morphological neural network is a neural network based on l...
We apply techniques from complexity theory to a model of biological cellular membranes known as membrane systems or P-systems. Like Boolean circuits, membrane systems are defined ...
Grid computing technologies enable large-scale aggregation and sharing of resources via wide-area networks focused on sharing computational, data, and other resources to form gener...