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MONET
2006
129views more  MONET 2006»
13 years 9 months ago
Enabling Intelligent Handovers in Heterogeneous Wireless Networks
In the future Wireless Internet, mobile nodes will be able to choose between providers offering competing services at a much finer granularity than we find today. Rather than month...
Robert C. Chalmers, Govind Krishnamurthi, Kevin C....
TJS
2010
182views more  TJS 2010»
13 years 8 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
BC
2002
193views more  BC 2002»
13 years 9 months ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon
RTAS
2011
IEEE
13 years 1 months ago
ARCH: Practical Channel Hopping for Reliable Home-Area Sensor Networks
Abstract—Home area networks (HANs) promise to enable sophisticated home automation applications such as smart energy usage and assisted living. However, recent empirical study of...
Mo Sha, Gregory Hackmann, Chenyang Lu
ICANN
2009
Springer
14 years 4 months ago
Decomposition Methods for Detailed Analysis of Content in ERP Recordings
The processes giving rise to an event related potential engage several evoked and induced oscillatory components, which reflect phase or non-phase locked activity throughout the mu...
Vasiliki Iordanidou, Kostas Michalopoulos, Vangeli...