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SCFBM
2008
138views more  SCFBM 2008»
14 years 9 months ago
Epigrass: a tool to study disease spread in complex networks
Background: The construction of complex spatial simulation models such as those used in network epidemiology, is a daunting task due to the large amount of data involved in their ...
Flávio C. Coelho, Oswaldo G. Cruz, Cl&aacut...
ICDAR
2009
IEEE
14 years 7 months ago
Low Cost Correction of OCR Errors Using Learning in a Multi-Engine Environment
We propose a low cost method for the correction of the output of OCR engines through the use of human labor. The method employs an error estimator neural network that learns to as...
Ahmad Abdulkader, Mathew R. Casey
ACMSE
2006
ACM
15 years 4 months ago
Assessing denial of service vulnerabilities in DOCSIS
In previous work a DOCSIS model was added to ‘ns’ to allow simulations to be run to analyze the performance of DOCSIS. These simulations showed that congestion caused by the a...
Scott Moser, Jim Martin
ASC
2006
14 years 11 months ago
Supervised neuronal approaches for EEG signal classification: Experimental studies
Using artificial neural networks for Electroencephalogram (EEG) signal interpretation is a very challenging tasks for several reasons. The first class of reasons refers to the nat...
Frédéric Alexandre, Kerkeni Nizar, K...
CCR
2004
105views more  CCR 2004»
14 years 10 months ago
The measurement manifesto
Useful measurement data is badly needed to help monitor and control large networks. Current approaches to solving measurement problems often assume minimal support from routers and...
George Varghese, Cristian Estan