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» Learning from sensor network data
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JFR
2010
59views more  JFR 2010»
14 years 9 months ago
A robotic system for monitoring carp in Minnesota lakes
Robotic Sensor Networks (RSNs) find increasing use in environmental monitoring as RSNs can collect data from obscure, hard-to-reach places over long periods of time. This work rep...
Pratap Tokekar, Deepak Bhadauria, Andrew Studenski...
133
Voted
NCA
2007
IEEE
15 years 2 months ago
Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
Ajith Abraham, Crina Grosan, Stefan Tigan
GLOBECOM
2009
IEEE
15 years 9 months ago
Data Acquisition through Joint Compressive Sensing and Principal Component Analysis
—In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniqu...
Riccardo Masiero, Giorgio Quer, Daniele Munaretto,...
116
Voted
ICANN
2010
Springer
15 years 3 months ago
Reinforcement Learning Based Neural Controllers for Dynamic Processes without Exploration
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
Frank-Florian Steege, André Hartmann, Erik ...
117
Voted
NDSS
2005
IEEE
15 years 8 months ago
The Internet Motion Sensor - A Distributed Blackhole Monitoring System
As national infrastructure becomes intertwined with emerging global data networks, the stability and integrity of the two have become synonymous. This connection, while necessary,...
Michael Bailey, Evan Cooke, Farnam Jahanian, Jose ...