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MOBIHOC
2007
ACM
16 years 6 months ago
Outlier detection in sensor networks
Outlier detection has many important applications in sensor networks, e.g., abnormal event detection, animal behavior change, etc. It is a difficult problem since global informati...
Bo Sheng, Qun Li, Weizhen Mao, Wen Jin
BMCBI
2008
115views more  BMCBI 2008»
15 years 7 months ago
BioGraphE: high-performance bionetwork analysis using the Biological Graph Environment
Background: Graphs and networks are common analysis representations for biological systems. Many traditional graph algorithms such as k-clique, k-coloring, and subgraph matching h...
George Chin Jr., Daniel G. Chavarría-Mirand...
BMCBI
2010
154views more  BMCBI 2010»
15 years 7 months ago
Candidate gene prioritization by network analysis of differential expression using machine learning approaches
Background: Discovering novel disease genes is still challenging for diseases for which no prior knowledge - such as known disease genes or disease-related pathways - is available...
Daniela Nitsch, Joana P. Gonçalves, Fabian ...
ICPP
2005
IEEE
16 years 22 days ago
Connected k-Hop Clustering in Ad Hoc Networks
In wireless ad hoc networks, clustering is one of the most important approaches for many applications. A connected k-hop clustering network is formed by electing clusterheads in k...
Shuhui Yang, Jie Wu, Jiannong Cao
IPSN
2010
Springer
15 years 9 months ago
Collaborative signal processing for action recognition in body sensor networks: a distributed classification algorithm using mot
Body sensor networks are emerging as a promising platform for remote human monitoring. With the aim of extracting bio-kinematic parameters from distributed body-worn sensors, thes...
Hassan Ghasemzadeh, Vitali Loseu, Roozbeh Jafari