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» Using Data Mining to Estimate Missing Sensor Data
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MASCOTS
2004
14 years 10 months ago
Mining Performance Data from Sampled Event Traces
The prominent role of the memory hierarchy as one of the major bottlenecks in achieving good program performance has motivated the search for ways of capturing the memory performa...
Ricardo Portillo, Diana Villa, Patricia J. Teller,...
ICDE
2010
IEEE
198views Database» more  ICDE 2010»
15 years 2 months ago
Power-aware data analysis in sensor networks
Abstract— Sensor networks have evolved to a powerful infrastructure component for event monitoring in many application scenarios. In addition to simple filter and aggregation op...
Daniel Klan, Katja Hose, Marcel Karnstedt, Kai-Uwe...
126
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FBIT
2007
IEEE
15 years 3 months ago
Adaptive Data Dissemination in Sensor Networks Using WPDD
In Wireless Sensor Networks (WSNs), address-based routing approaches often lead to severe problems due to node mobility, energy-saving sleep-cycles, and often missing or unreliabl...
Falko Dressler, Reinhard German, Bettina Krüg...
CNSR
2008
IEEE
151views Communications» more  CNSR 2008»
15 years 3 months ago
Discrete Model to Estimate Lifetime of a Wireless Sensor Network for Audio Storage
— Wireless sensor networks (WSNs) can be used to record and store audio data at remote and inaccessible places. However, audio data adds an additional concern to the design of th...
Sajid Hussain, Patrick Drane, Michael Mallinson
TASLP
2011
14 years 4 months ago
Advances in Missing Feature Techniques for Robust Large-Vocabulary Continuous Speech Recognition
— Missing feature theory (MFT) has demonstrated great potential for improving the noise robustness in speech recognition. MFT was mostly applied in the log-spectral domain since ...
Maarten Van Segbroeck, Hugo Van Hamme