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» Efficient Training of Sensor Networks
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PERCOM
2007
ACM
16 years 1 months ago
Exploring Non Uniform Quality of Service for Extending WSN Lifetime
Interest in extracting and exploiting information from wireless sensor networks has been increasing for several years. Most scenarios focus on collecting and evaluating large amoun...
Anna Egorova-Forster, Amy L. Murphy
ADHOCNETS
2010
Springer
14 years 10 months ago
Guaranteeing Reliable Communications in Mesh Beacon-Enabled IEEE802.15.4 WSN for Industrial Monitoring Applications
Wireless Sensor Networks (WSN) are a very promising solution for industrial monitoring applications in terms of safety, costs, efficiency and productivity. However, in order to mov...
Berta Carballido Villaverde, Susan Rea, Dirk Pesch
JMLR
2006
120views more  JMLR 2006»
15 years 1 months ago
Kernel-Based Learning of Hierarchical Multilabel Classification Models
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
Juho Rousu, Craig Saunders, Sándor Szedm&aa...
CIBB
2008
15 years 4 months ago
Splice Site Prediction Using Artificial Neural Networks
A system for utilizing an artificial neural network to predict splice sites in genes has been studied. The neural network uses a sliding window of nucleotides over a gene and predi...
Øystein Johansen, Tom Ryen, Trygve Eftest&o...
IJCNN
2007
IEEE
15 years 8 months ago
Theta Neuron Networks: Robustness to Noise in Embedded Applications
- In this paper, we train a one-layer Theta Neuron Network (TNN) to perform a Braitenberg obstacle avoidance algorithm on a Khepera robot. The Theta neuron model is more biological...
Sam McKennoch, Preethi Sundaradevan, Linda G. Bush...