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AINA
2006
IEEE
15 years 8 months ago
Distributed Tuning Attempt Probability for Data Gathering in Random Access Wireless Sensor Networks
In this paper, we study the problem of data gathering in multi-hop wireless sensor networks. To tackle the high degree of channel contention and high probability of packet collisi...
Haibo Zhang, Hong Shen
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
15 years 7 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
DATAMINE
2010
175views more  DATAMINE 2010»
15 years 6 months ago
Extracting influential nodes on a social network for information diffusion
We address the combinatorial optimization problem of finding the most influential nodes on a large-scale social network for two widely-used fundamental stochastic diffusion models...
Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiro...
CCGRID
2007
IEEE
16 years 16 days ago
Reliability Analysis of Self-Healing Network using Discrete-Event Simulation
The number of processors embedded on high performance computing platforms is continuously increasing to accommodate user desire to solve larger and more complex problems. However,...
Thara Angskun, George Bosilca, Graham E. Fagg, Jel...
FOCI
2007
IEEE
16 years 15 days ago
Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptability vs. Longer-Term Persistency
Recent progress in genomics and proteomics makes it possible to understand the biological networks at the systems level. We aim to develop computational models of learning and memo...
Byoung-Tak Zhang