Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
This paper develops a technique that uniquely combines the advantages of static scheduling and dynamic scheduling to reduce the energy consumed in modern superscalar processors wi...
— This paper proposes a service discovery protocol for sensor networks that is specifically tailored for use in humancentered pervasive environments. It uses the high-level conc...
Scalable handling of real arithmetic is a crucial part of the verification of hybrid systems, mathematical algorithms, and mixed analog/digital circuits. Despite substantial advanc...
The database community is on a constant quest for better integration of data management and knowledge management. Recently, with the increasing use of ontology in various applicat...