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» Sensor Errors Prediction Using Neural Networks
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IJCNN
2006
IEEE
15 years 4 months ago
Echo State Networks for Determining Harmonic Contributions from Nonlinear Loads
—This paper investigates the application of a new kind of recurrent neural network called Echo State Networks (ESNs) for the problem of measuring the actual amount of harmonic cu...
Joy Mazumdar, Ganesh K. Venayagamoorthy, Ronald G....
IPSN
2010
Springer
14 years 11 months ago
U-connect: a low-latency energy-efficient asynchronous neighbor discovery protocol
Mobile sensor nodes can be used for a wide variety of applications such as social networks and location tracking. An important requirement for all such applications is that the mo...
Arvind Kandhalu, Karthik Lakshmanan, Ragunathan Ra...
MINENET
2006
ACM
15 years 4 months ago
SVM learning of IP address structure for latency prediction
We examine the ability to exploit the hierarchical structure of Internet addresses in order to endow network agents with predictive capabilities. Specifically, we consider Suppor...
Robert Beverly, Karen R. Sollins, Arthur Berger
ICC
2009
IEEE
176views Communications» more  ICC 2009»
15 years 4 months ago
Error Resilient Non-Asymmetric Slepian-Wolf Coding
Abstract—We consider non-asymmetric distributed source coding (DSC) that achieves any point in the Slepian-Wolf (SW) region. We study the error propagation phenomena and propose ...
Cédric Herzet, Velotiaray Toto-Zarasoa, Ali...
NECO
2008
129views more  NECO 2008»
14 years 10 months ago
Sparse Coding via Thresholding and Local Competition in Neural Circuits
While evidence indicates that neural systems may be employing sparse approximations to represent sensed stimuli, the mechanisms underlying this ability are not understood. We desc...
Christopher J. Rozell, Don H. Johnson, Richard G. ...