This paper addresses the issue of how router complexity a ects the overall performance in deterministic and adaptive routing under virtual cut-through switching in k-ary n-cube ne...
In this paper, a user-centred innovative method of knowledge extraction in neural networks is described. This is based on information visualization techniques and tools for artific...
This paper proposes selective update and cooperation strategies for parameter estimation in distributed adaptive sensor networks. A setmembership filtering approach is employed t...
Stefan Werner, Yih-Fang Huang, Marcello L. R. de C...
We present the design, implementation and evaluation of an open programmable mobile network based on distributed object technology called mobiware that dynamically exploits the in...
Andrew T. Campbell, Michael E. Kounavis, Raymond R...
TD-FALCON (Temporal Difference - Fusion Architecture for Learning, COgnition, and Navigation) is a class of self-organizing neural networks that incorporates Temporal Difference (...