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» Approximating the Number of Network Motifs
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GLOBECOM
2007
IEEE
15 years 4 months ago
Evaluation of the Probability of K-Hop Connection in Homogeneous Wireless Sensor Networks
— Given a wireless sensor network (WSN) whose sensors are randomly and independently distributed in a bounded area following a homogeneous Poisson process with density ρ and eac...
Xiaoyuan Ta, Guoqiang Mao, Brian D. O. Anderson
GLOBECOM
2006
IEEE
15 years 3 months ago
Connection Preemption in Multi-Class Networks
— We address the problem of connection preemption in a multi-class network environment. Our objective is: i) to minimize the number of preempted connections, and ii) to minimize ...
Fahad Rafique Dogar, Laeeq Aslam, Zartash Afzal Uz...
SIGMOD
2011
ACM
206views Database» more  SIGMOD 2011»
14 years 20 days ago
Sampling based algorithms for quantile computation in sensor networks
We study the problem of computing approximate quantiles in large-scale sensor networks communication-efficiently, a problem previously studied by Greenwald and Khana [12] and Shri...
Zengfeng Huang, Lu Wang, Ke Yi, Yunhao Liu
BMCBI
2008
142views more  BMCBI 2008»
14 years 10 months ago
Microarray data mining: A novel optimization-based approach to uncover biologically coherent structures
Background: DNA microarray technology allows for the measurement of genome-wide expression patterns. Within the resultant mass of data lies the problem of analyzing and presenting...
Meng Piao Tan, Erin N. Smith, James R. Broach, Chr...
BMCBI
2005
122views more  BMCBI 2005»
14 years 9 months ago
A neural strategy for the inference of SH3 domain-peptide interaction specificity
Background: The SH3 domain family is one of the most representative and widely studied cases of so-called Peptide Recognition Modules (PRM). The polyproline II motif PxxP that gen...
Enrico Ferraro, Allegra Via, Gabriele Ausiello, Ma...