This paper proposes a guaranteed robust bounded-error distributed estimation algorithm. It may be employed to perform parameter estimation from data collected in a network of wire...
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Abstract—In wireless networks with random node distribution, the underlying point process model and the channel fading process are usually considered separately. A unified frame...
The synchronous firing of neurons in a pulse coupled neural network composed of excitatory and inhibitory neurons is analyzed. The neurons are connected by both chemical synapses ...
Dynamic composition of protocol features allows applications to establish connections with custom communication characteristics. Automatically computing possible compositions and ...