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IJCNN
2006
IEEE
16 years 15 days ago
Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer
—In this paper, we present three different methods for implementing the Probabilistic Neural Network on a Beowulf cluster computer. The three methods, Parallel Full Training Set ...
Jimmy Secretan, Michael Georgiopoulos, Ian Maidhof...
ICPADS
2005
IEEE
16 years 1 days ago
A Configurable Time-Controlled Clustering Algorithm for Wireless Sensor Networks
Future large-scale sensor networks may comprise thousands of wirelessly connected sensor nodes that could provide an unimaginable opportunity to interact with physical phenomena i...
S. Selvakennedy, Sukunesan Sinnappan
ICDCIT
2005
Springer
15 years 12 months ago
Merging Clustering Algorithms in Mobile Ad Hoc Networks
Abstract. Clustering is a widely used approach to ease implementation of various problems such as routing and resource management in mobile ad hoc networks (MANET)s. We propose a n...
Orhan Dagdeviren, Kayhan Erciyes, Deniz Cokuslu
CLUSTER
2007
IEEE
16 years 24 days ago
Building the communication performance model of heterogeneous clusters based on a switched network
— Analytical communication performance models play an important role in prediction of the execution time of parallel applications on multiprocessors. Apart from designing such a ...
Alexey L. Lastovetsky, Vladimir Rychkov
HICSS
2006
IEEE
118views Biometrics» more  HICSS 2006»
16 years 15 days ago
Quantitative Measures for Evaluating Knowledge Network Node Clusters: Preliminary Results
One viewpoint of a knowledge network is a knowledge map that clusters similar knowledge sources into knowledge domains. What is needed is an automatic mapping tool that 1) takes t...
Mark Pendergast, Richard Orwig