In this paper we present an approach to multi-objective exploration of the mapping space of a mesh-based network-on-chip architecture. Based on evolutionary computing techniques, ...
The ability to compute the parasitic inductance of the interconnect is critical to the timing verification of modern VLSI circuits. A challenging aspect of inductance extraction i...
Two of the most important threads of work in knowledge representation today are frame-based representation systems (FRS's) and Bayesian networks (BNs). FRS's provide an ...
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...
: Integrated process support is highly desirable in environments where data related to a particular (business) process are scattered over distributed, heterogeneous information sys...