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» Modeling Botnet Propagation Using Time Zones
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NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 years 7 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
JSAC
2008
82views more  JSAC 2008»
13 years 7 months ago
Integration of communication and control using discrete time Kuramoto models for multivehicle coordination over broadcast networ
Abstract-- This paper considers the integration of communication and control with respect to the task of coordinated heading control for a group of N vehicles. The heading control ...
Daniel J. Klein, Phillip Lee, Kristi A. Morgansen,...
VMV
2003
186views Visualization» more  VMV 2003»
13 years 9 months ago
Simulation, Modelling and Rendering of Incompressible Fluids in Real Time
In this paper we present techniques for the real-time simulation and rendering of liquids. Appropriate approximations to a full 3D simulation are applied to reduce the numerical c...
Thomas Klein, Mike Eissele, Daniel Weiskopf, Thoma...
INFOCOM
2008
IEEE
14 years 2 months ago
An Information Model for Geographic Greedy Forwarding in Wireless Ad-Hoc Sensor Networks
—In wireless ad-hoc sensor networks, an important issue often faced in geographic greedy forwarding routing is the “local minimum phenomenon” which is caused by deployment ho...
Zhen Jiang, Junchao Ma, Wei Lou, Jie Wu
QEST
2010
IEEE
13 years 5 months ago
Transient Analysis of Generalised Semi-Markov Processes Using Transient Stochastic State Classes
The method of stochastic state classes approaches the analysis of Generalised Semi Markov Processes (GSMP) through symbolic derivation of probability density functions over Differe...
András Horváth, Lorenzo Ridi, Enrico...