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» Negative Selection Algorithm for Aircraft Fault Detection
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DAC
2012
ACM
11 years 10 months ago
Towards fault-tolerant embedded systems with imperfect fault detection
Many state-of-the-art approaches on fault-tolerant system design make the simplifying assumption that all faults are detected within a certain time interval. However, based on a d...
Jia Huang, Kai Huang, Andreas Raabe, Christian Buc...
ICANN
2009
Springer
13 years 11 months ago
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao
TELSYS
2008
114views more  TELSYS 2008»
13 years 7 months ago
Efficient probe selection algorithms for fault diagnosis
Increase in the network usage for more and more performance critical applications has caused a demand for tools that can monitor network health with minimum management traffic. Ada...
Maitreya Natu, Adarshpal S. Sethi, Errol L. Lloyd
ICPR
2000
IEEE
14 years 8 months ago
Novelty Detection in Airframe Strain Data
The structural health of airframes is often monitored by analysis of the frequency of occurrence matrix (FOOM) produced after each flight. Each cell in the matrix records a stress...
Simon J. Hickinbotham, James Austin
IJCNN
2000
IEEE
13 years 12 months ago
Neural Networks for Novelty Detection in Airframe Strain Data
The structural health of airframes is often monitored by analysis of the frequency of occurrence matrix (FOOM) produced after each flight. Each cell in the matrix records a stres...
Simon J. Hickinbotham, James Austin