The learning of complex relationships can be decomposed into several neural networks. The modular organization is determined by prior knowledge of the problem that permits to split...
An n-dimensional hierarchical cubic network (denoted by HCN(n)) contains 2 n n-dimensional hypercubes. The diameter of the HCN(n), which is equal to n+(n+1)/3+1, is about two-thir...
Conventional network management is based on SNMP and often run in a centralized manner. Although the centralized management approach gives network administrators a flexibility of ...
This paper focuses on flow control in high-speed networks. Each node in the networks handles its local traffic flow only on the basis of the information it knows, but it is pre...
The paper analyzes the criticality in a network with interval activities duration times. A natural generalization of the criticality notion (for a path, an activity and an event) ...