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» Sensor Errors Prediction Using Neural Networks
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MASS
2010
353views Communications» more  MASS 2010»
15 years 29 days ago
Trailing mobile sinks: A proactive data reporting protocol for Wireless Sensor Networks
In Wireless Sensor Networks (WSN), data gathering using mobile sinks typically incurs constant propagation of sink location indication messages to guide the direction of data repor...
Xinxin Liu, Han Zhao, Xin Yang, Xiaolin Li, Ning W...
INFOCOM
2009
IEEE
16 years 25 days ago
Trap Coverage: Allowing Coverage Holes of Bounded Diameter in Wireless Sensor Networks
—Tracking of movements such as that of people, animals, vehicles, or of phenomena such as fire, can be achieved by deploying a wireless sensor network. So far only prototype sys...
Paul Balister, Zizhan Zheng, Santosh Kumar, Prasun...
BMCBI
2006
122views more  BMCBI 2006»
15 years 6 months ago
A multivariate prediction model for microarray cross-hybridization
Background: Expression microarray analysis is one of the most popular molecular diagnostic techniques in the post-genomic era. However, this technique faces the fundamental proble...
Yian A. Chen, Cheng-Chung Chou, Xinghua Lu, Elizab...
WSNA
2003
ACM
15 years 11 months ago
Analyzing and modeling encryption overhead for sensor network nodes
Recent research in sensor networks has raised security issues for small embedded devices. Security concerns are motivated by the deployment of a large number of sensory devices in...
Prasanth Ganesan, Ramnath Venugopalan, Pushkin Ped...
NIPS
1997
15 years 7 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung