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» A Note on Dynamic Data Driven Wildfire Modeling
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ENGL
2008
153views more  ENGL 2008»
14 years 9 months ago
Neural Network NARMA Control of a Gyroscopic Inverted Pendulum
The objective herein is to demonstrate the feasibility of a real-time digital control of an inverted pendulum for modeling and control, with emphasis on nonlinear auto regressive m...
F. Chetouane, S. Darenfed
84
Voted
ICCS
2004
Springer
15 years 3 months ago
Karhunen-Loeve Representation of Periodic Second-Order Autoregressive Processes
In dynamic data driven applications modeling accurately the uncertainty of various inputs is a key step of the process. In this paper, we first review the basics of the Karhunen-L...
Didier Lucor, Chau-Hsing Su, George E. Karniadakis
BMCBI
2007
182views more  BMCBI 2007»
14 years 9 months ago
Hybrid elementary flux analysis/nonparametric modeling: application for bioprocess control
Background: The progress in the "-omic" sciences has allowed a deeper knowledge on many biological systems with industrial interest. This knowledge is still rarely used ...
Ana P. Teixeira, Carlos Alves, Paula M. Alves, Man...
79
Voted
NDSS
2006
IEEE
15 years 3 months ago
Modeling Botnet Propagation Using Time Zones
Time zones play an important and unexplored role in malware epidemics. To understand how time and location affect malware spread dynamics, we studied botnets, or large coordinated...
David Dagon, Cliff Changchun Zou, Wenke Lee
ECCV
2002
Springer
15 years 11 months ago
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...
Feng Han, Zhuowen Tu, Song Chun Zhu