Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
Abstract— Each time more grows the necessity of guaranteeing itself security and trustworthiness of the equipment during the execution of the industrials processes. Then, it is v...
Raphaela G. Fernandes, Diego R. Cabral Silva, Luiz...
— We propose Computational Sensor Networks as a methodology to exploit models of physical phenomena in order to better understand the structure of the sensor network. To do so, i...
Thomas C. Henderson, Christopher A. Sikorski, Edwa...
We consider a multi-agent system where each agent is equipped with a Bayesian network, and present an open framework for the agents to agree on a possible consensus network. The f...
One of the problems of middleware for shared state is that they are designed, explicitly or implicitly, for symmetric networks. However, since the Internet is not symmetric, end-to...
Erik Klintskog, Valentin Mesaros, Zacharias El Ban...