A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...
We propose a compact, low power VLSI network of spiking neurons which can learn to classify complex patterns of mean firing rates on–line and in real–time. The network of int...
For the power consumption model called Hamming weight model, we rewrite DPA attacks in terms of correlation coefficients between two Boolean functions. We exhibit properties of S-b...
Allometric scaling is an important universal property of metabolic living systems. It also describes the self-similar branching treeliked structures in transportation networks. Thi...
We give two efficient on-line algorithms to simplify weighted graphs by eliminating degree-two vertices. Our algorithms are on-line -- they react to updates on the data, keeping t...
Floris Geerts, Peter Z. Revesz, Jan Van den Bussch...