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» Neural networks: Algorithms and applications
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PDCAT
2004
Springer
16 years 26 days ago
A Componentized Approach to Grid Enabling Seismic Wave Modeling Application
Seismic modeling is an integral part of the seismic data processing for oil and gas exploration, as it provides us the seismic response for a given earth model. Grid enabled seismi...
Dheeraj Bhardwaj, Jeremy Cohen, Steve McGough, Ste...
152
Voted
CORR
2010
Springer
74views Education» more  CORR 2010»
15 years 7 months ago
Conflict-Free Coloring and its Applications
Let H = (V, E) be a hypergraph. A conflict-free coloring of H is an assignment of colors to V such that in each hyperedge e E there is at least one uniquely-colored vertex. This ...
Shakhar Smorodinsky
235
Voted
ANCS
2006
ACM
16 years 1 months ago
Advanced algorithms for fast and scalable deep packet inspection
Modern deep packet inspection systems use regular expressions to define various patterns of interest in network data streams. Deterministic Finite Automata (DFA) are commonly used...
Sailesh Kumar, Jonathan S. Turner, John Williams
ICDE
2011
IEEE
244views Database» more  ICDE 2011»
14 years 11 months ago
Algorithms for local sensor synchronization
— In a wireless sensor network (WSN), each sensor monitors environmental parameters, and reports its readings to a base station, possibly through other nodes. A sensor works in c...
Lixing Wang, Yin Yang, Xin Miao, Dimitris Papadias...
196
Voted
CEC
2008
IEEE
16 years 2 months ago
Increasing rule extraction accuracy by post-processing GP trees
—Genetic programming (GP), is a very general and efficient technique, often capable of outperforming more specialized techniques on a variety of tasks. In this paper, we suggest ...
Ulf Johansson, Rikard König, Tuve Löfstr...