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» Efficient Training of Sensor Networks
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DMSN
2010
ACM
15 years 3 months ago
DEMS: a data mining based technique to handle missing data in mobile sensor network applications
In Mobile Sensor Network (MSN) applications, sensors move to increase the area of coverage and/or to compensate for the failure of other sensors. In such applications, loss or cor...
Le Gruenwald, Md. Shiblee Sadik, Rahul Shukla, Han...
WOWMOM
2009
ACM
204views Multimedia» more  WOWMOM 2009»
15 years 6 months ago
ECTC: Energy effiCient topology control algorithm for wireless sensor networks
Sensor network which operates on battery are used to gather data in a variety of environments. The data collected by each node is communicated through the network to the sink, whi...
Nedal Ababneh, Anastasios Viglas, Houda Labiod, Na...
JUCS
2007
136views more  JUCS 2007»
15 years 1 months ago
VCA: An Energy-Efficient Voting-Based Clustering Algorithm for Sensor Networks
: Clustering provides an effective mechanism for energy-efficient data delivery in wireless sensor networks. To reduce communication cost, most clustering algorithms rely on a sens...
Min Qin, Roger Zimmermann
160
Voted
NCA
2006
IEEE
15 years 1 months ago
Evolutionary training of hardware realizable multilayer perceptrons
The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks...
Vassilis P. Plagianakos, George D. Magoulas, Micha...
AMC
2008
99views more  AMC 2008»
15 years 2 months ago
Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Roderick V. N. Melnik