We describe a new model for studying intermittently connected mobile networks, based on Markovian random temporal graphs, that captures the influence of message size, maximum tol...
John Whitbeck, Vania Conan, Marcelo Dias de Amorim
This paper introduces an adaptive Higher Order Neural Network (HONN) model and applies it in data mining such as simulating and forecasting government taxation revenues. The propo...
Abstract— Supervised learning rules for spiking neural networks are currently only able to use time-to-first-spike coding and are plagued by very irregular learning curves due t...
There is a growing interest for underwater sensor networks where long term monitoring of water masses around the world for scientific, environmental, commercial, and military reas...
An ad hoc or sensor network that is employed for security sensitive applications is expected to tolerate a certain quantity of maliciously behaving nodes. Algorithms must be desig...