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» Evolving Artificial Neural Networks that Develop in Time
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CEC
2003
IEEE
13 years 11 months ago
Genetic algorithms applied to airport ground traffic optimization
Due to air traffic growth and especially hubs development, major European airports can easily become bottlenecks in the global air transportation network. Therefore, accurate model...
Jean-Baptiste Gotteland, Nicolas Durand
BMCBI
2010
152views more  BMCBI 2010»
13 years 7 months ago
Comparative study of three commonly used continuous deterministic methods for modeling gene regulation networks
Background: A gene-regulatory network (GRN) refers to DNA segments that interact through their RNA and protein products and thereby govern the rates at which genes are transcribed...
Martin T. Swain, Johannes J. Mandel, Werner Dubitz...
BIOCOMP
2008
13 years 8 months ago
Reverse Engineering Module Networks by PSO-RNN Hybrid Modeling
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
INFOCOM
2006
IEEE
14 years 1 months ago
Sleeping Coordination for Comprehensive Sensing Using Isotonic Regression and Domatic Partitions
— We address the problem of energy efficient sensing by adaptively coordinating the sleep schedules of sensor nodes while guaranteeing that values of sleeping nodes can be recov...
Farinaz Koushanfar, Nina Taft, Miodrag Potkonjak
CDC
2009
IEEE
181views Control Systems» more  CDC 2009»
14 years 4 days ago
Stability of switched linear systems and the convergence of random products
— In this paper we give conditions that a discrete time switched linear systems must satisfy if it is stable. We do this by calculating the mean and covariance of the set of matr...
Ning Wang, Magnus Egerstedt, Clyde F. Martin