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» Dynamic power management using machine learning
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GSN
2009
Springer
189views Sensor Networks» more  GSN 2009»
15 years 2 months ago
Deploying a Wireless Sensor Network in Iceland
A wireless sensor network deployment on a glacier in Iceland is described. The system uses power management as well as power harvesting to provide long-term environment sensing. Ad...
Kirk Martinez, Jane K. Hart, Royan Ong
KBSE
2005
IEEE
15 years 3 months ago
Testing in resource constrained execution environments
Software for resource constrained embedded devices is often implemented in the Java programming language because the Java compiler and virtual machine provide enhanced safety, por...
Gregory M. Kapfhammer, Mary Lou Soffa, Daniel Moss...
101
Voted
NN
2002
Springer
115views Neural Networks» more  NN 2002»
14 years 9 months ago
A self-organising network that grows when required
The ability to grow extra nodes is a potentially useful facility for a self-organising neural network. A network that can add nodes into its map space can approximate the input sp...
Stephen Marsland, Jonathan Shapiro, Ulrich Nehmzow
KDD
2009
ACM
215views Data Mining» more  KDD 2009»
15 years 10 months ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye
CODES
2009
IEEE
15 years 4 months ago
A standby-sparing technique with low energy-overhead for fault-tolerant hard real-time systems
Time redundancy (rollback-recovery) and hardware redundancy are commonly used in real-time systems to achieve fault tolerance. From an energy consumption point of view, time redun...
Alireza Ejlali, Bashir M. Al-Hashimi, Petru Eles