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» Utilizing Neural Networks For Effective Intrusion Detection
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IJON
2006
146views more  IJON 2006»
13 years 7 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
NETWORK
2007
234views more  NETWORK 2007»
13 years 7 months ago
Surveillance Wireless Sensor Networks: Deployment Quality Analysis
Surveillance wireless sensor networks are deployed at perimeter or border locations to detect unauthorized intrusions. For deterministic deployment of sensors, the quality of depl...
Ertan Onur, Cem Ersoy, Hakan Deliç, Lale Ak...
CSL
2000
Springer
13 years 7 months ago
Detection of phonological features in continuous speech using neural networks
We report work on the first component of a two stage speech recognition architecture based on phonological features rather than phones. The paper reports experiments on three phon...
Simon King, Paul Taylor
ICMCS
2005
IEEE
151views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Face and Eye Rectification in Video Conference Using Artificial Neural Network
The lack of eye contact in video conference degrades the user’s experience. This problem has been known and studied for many years. There are hardware-based solutions to the eye...
Ben Yip
RAID
1999
Springer
13 years 11 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo