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» Efficient Training of Sensor Networks
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MASS
2010
181views Communications» more  MASS 2010»
15 years 2 months ago
Perfectly anonymous data aggregation in wireless sensor networks
Clustering and data aggregation in wireless sensor networks improves scalability, and helps the efficient use of scarce resources. Yet, these mechanisms also introduce some securi...
Levente Buttyán, Tamás Holczer
IPSN
2010
Springer
15 years 1 months ago
i-MAC - a MAC that learns
Traffic patterns in manufacturing machines exhibit strong temporal correlations due to the underlying repetitive nature of their operations. A MAC protocol can potentially learn t...
Krishna Kant Chintalapudi
ICAISC
2004
Springer
15 years 10 months ago
Semi-mechanistic Models for State-Estimation - Soft Sensor for Polymer Melt Index Prediction
Nonlinear state estimation is a useful approach to the monitoring of industrial (polymerization) processes. This paper investigates how this approach can be followed to the develop...
Balazs Feil, János Abonyi, Peter Pach, Sand...
ECAI
2000
Springer
15 years 8 months ago
Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
Marco Gori, Paolo Frasconi, Alessandro Sperduti
COLCOM
2007
IEEE
15 years 10 months ago
Cooperative security in distributed sensor networks
— Distributed sensor network protocols, such as routing, time synchronization or data aggregation protocols make use of collaborative techniques to minimize the consumption of sc...
Oscar García Morchon, Heribert Baldus, Tobi...