A class of synchronization protocols for dense, large-scale sensor networks is presented. The protocols build on the recent work of Hong, Cheow, and Scaglione [5, 6] in which the ...
Abstract We present methods and tools for modeling autonomously controlled production networks and investigation of their stability properties. Production networks are described as...
Programmable networks offer the ability to customize router behaviour at run time, thus providing new levels of flexibility for network administrators. We have developed a program...
In this paper we propose and analyze a multilayer perceptron-like model with matrix inputs. We applied the proposed model to the financial time series prediction problem, compared ...
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...