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KES
2008
Springer
14 years 9 months ago
Epileptic Seizure Classification Using Neural Networks with 14 Features
Epilepsy is one of the most frequent neurological disorders. The main method used in epilepsy diagnosis is electroencephalogram (EEG) signal analysis. However this method requires ...
Rui P. Costa, Pedro Oliveira, Guilherme Rodrigues,...
ENGL
2007
160views more  ENGL 2007»
14 years 9 months ago
Diagnosis and Classification of Epilepsy Risk Levels from EEG Signals Using Fuzzy Aggregation Techniques
— This paper is intended to compare the performance of four different types of fuzzy aggregation methods in classification of epilepsy risk levels from EEG Signal parameters. The...
R. Sukanesh, R. Harikumar
BMCBI
2005
99views more  BMCBI 2005»
14 years 9 months ago
Effective ambiguity checking in biosequence analysis
Background: Ambiguity is a problem in biosequence analysis that arises in various analysis tasks solved via dynamic programming, and in particular, in the modeling of families of ...
Janina Reeder, Peter Steffen, Robert Giegerich
78
Voted
TPDS
2008
88views more  TPDS 2008»
14 years 9 months ago
A Two-Hop Solution to Solving Topology Mismatch
The efficiency of Peer-to-Peer (P2P) systems is largely dependent on the overlay constructions. Due to the random selection of logical neighbors, there often exists serious topolog...
Yunhao Liu
BEHAVIOURIT
2004
171views more  BEHAVIOURIT 2004»
14 years 9 months ago
Long-term working memory and interrupting messages in human - computer interaction
The extent to which memory for information content is reliable, trustworthy, and accurate is crucial in the information age. Being forced to divert attention to interrupting messag...
Antti Oulasvirta, Pertti Saariluoma