Inspired by the behaviour of biological receptive fields and the human visual system, a network model based on spiking neurons is proposed to detect edges in a visual image. The st...
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...
Spiking Neural Networks (SNNs) model the biological functions of the human brain enabling neuro/computer scientists to investigate how arrays of neurons can be used to solve comput...
Brendan P. Glackin, Jim Harkin, T. Martin McGinnit...
The interrelationship between software faults and failures is quite intricate and obtaining a meaningful characterization of it would definitely help the testing community in decid...
Sigrid Eldh, Sasikumar Punnekkat, Hans Hansson, Pe...
In this paper we propose a feedforward neural network for syllable recognition. The core of the recognition system is based on a hierarchical architecture initially developed for ...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...
Abstract--Pervasive computing applications involve both software concerns, like any software system, and integration concerns, for the constituent networked devices of the pervasiv...