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» Conditional Sensor Deployment Using Evolutionary Algorithms
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SIGCSE
2006
ACM
158views Education» more  SIGCSE 2006»
14 years 1 months ago
Evaluations of target tracking in wireless sensor networks
Target tracking is one of the most important applications of wireless sensor networks. Optimized computation and energy dissipation are critical requirements to maximize the lifet...
Sam Phu Manh Tran, T. Andrew Yang
ISICA
2007
Springer
14 years 1 months ago
Parameter Setting for Evolutionary Latent Class Clustering
The latent class model or multivariate multinomial mixture is a powerful model for clustering discrete data. This model is expected to be useful to represent non-homogeneous popula...
Damien Tessier, Marc Schoenauer, Christophe Bierna...
SP
2008
IEEE
176views Security Privacy» more  SP 2008»
14 years 2 months ago
Casting out Demons: Sanitizing Training Data for Anomaly Sensors
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
Gabriela F. Cretu, Angelos Stavrou, Michael E. Loc...
EUROGP
2009
Springer
143views Optimization» more  EUROGP 2009»
13 years 5 months ago
A Real-Time Evolutionary Object Recognition System
We have created a real-time evolutionary object recognition system. Genetic Programming is used to automatically search the space of possible computer vision programs guided throug...
Marc Ebner
COMCOM
2007
156views more  COMCOM 2007»
13 years 7 months ago
A survey on clustering algorithms for wireless sensor networks
The past few years have witnessed increased interest in the potential use of wireless sensor networks (WSNs) in applications such as disaster management, combat field reconnaissa...
Ameer Ahmed Abbasi, Mohamed F. Younis