Abstract. This paper describes two methodologies for performing distributed particle filtering in a sensor network. It considers the scenario in which a set of sensor nodes make m...
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Selectivity estimation is an important step of query optimization in a database management system, and multidimensional histogram techniques have proved promising for selectivity ...
This project describes the electricity demand and energy consumption management system and its application to Southern Peru smelter. It is composted of an hourly demand-forecastin...