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FTCS
1993
111views more  FTCS 1993»
13 years 11 months ago
Detection and Discrimination of Injected Network Faults
Although the present work does in fact employ training data, it does so in the interest of calibrating the results Six hundred faults were induced by injection into five live obtai...
Roy A. Maxion, Robert T. Olszewski
GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
13 years 11 months ago
ADANN: automatic design of artificial neural networks
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Juan Peralta, Germán Gutiérrez, Arac...
KAIS
2011
129views more  KAIS 2011»
13 years 5 months ago
Counting triangles in real-world networks using projections
Triangle counting is an important problem in graph mining. Two frequently used metrics in complex network analysis which require the count of triangles are the clustering coefficie...
Charalampos E. Tsourakakis
SENSYS
2009
ACM
14 years 5 months ago
Run time assurance of application-level requirements in wireless sensor networks
Continuous and reliable operation of WSNs is notoriously difficult to guarantee due to hardware degradation and environmental changes. In this paper, we propose and demonstrate a ...
Jingyuan Li, Yafeng Wu, Krasimira Kapitanova, John...
EDBT
2006
ACM
191views Database» more  EDBT 2006»
14 years 10 months ago
Distributed Spatial Clustering in Sensor Networks
Abstract. Sensor networks monitor physical phenomena over large geographic regions. Scientists can gain valuable insight into these phenomena, if they understand the underlying dat...
Anand Meka, Ambuj K. Singh