This paper investigates the problem of designing decentralized representations to support monitoring and inferences in sensor networks. State-space models of physical phenomena su...
Juan Liu, Maurice Chu, Jie Liu, Jim Reich, Feng Zh...
The efficient simulation of multi-agent systems presents particular challenges which are not addressed by current parallel discrete event simulation (PDES) models and techniques. ...
Michael Lees, Brian Logan, Rob Minson, Ton Oguara,...
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
This paper proposes a new method for real-time rigid body simulations based on a volumetric penalty method. The penalty method, which employs spring-damper model, is a simple and ...
With the emergence of modularized componentbased electronic services, such as Web Services and semantically tagged services, Individual Service Provisioning, wherein any user can ...