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DCOSS
2007
Springer
15 years 11 months ago
Efficient Computation of Minimum Exposure Paths in a Sensor Network Field
The exposure of a path p is a measure of the likelihood that an object traveling along p is detected by a network of sensors and it is formally defined as an integral over all poin...
Hristo Djidjev
ACSD
2006
IEEE
102views Hardware» more  ACSD 2006»
15 years 9 months ago
Models of Computation for Networks on Chip
Networks on chip platforms offer the opportunity to introduce a new abstraction level that defines a set of platform services with performance and power characteristics. By making...
Axel Jantsch
ICONIP
1998
15 years 8 months ago
Computing Iterative Roots with Neural Networks
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
Lars Kindermann
ICDE
2009
IEEE
223views Database» more  ICDE 2009»
16 years 9 months ago
Another Outlier Bites the Dust: Computing Meaningful Aggregates in Sensor Networks
Abstract-- Recent work has demonstrated that readings provided by commodity sensor nodes are often of poor quality. In order to provide a valuable sensory infrastructure for monito...
Antonios Deligiannakis, Yannis Kotidis, Vasilis Va...
BMCBI
2011
14 years 10 months ago
Acorn: A grid computing system for constraint based modeling and visualization of the genome scale metabolic reaction networks v
Background: Constraint-based approaches facilitate the prediction of cellular metabolic capabilities, based, in turn on predictions of the repertoire of enzymes encoded in the gen...
Jacek Sroka, Lukasz Bieniasz-Krzywiec, Szymon Gwoz...