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TMI
2008
138views more  TMI 2008»
14 years 10 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
HICSS
2009
IEEE
168views Biometrics» more  HICSS 2009»
15 years 5 months ago
Enabling Distributed Model Management Using Semantic Web Technologies
In today’s increasingly dynamic and competitive business environment, organizations strive to leverage their information resources to gain and sustain competitive advantage. Deci...
Amit V. Deokar, Omar F. El-Gayar
ACSC
2008
IEEE
15 years 5 months ago
Product flow analysis in distribution networks with a fixed time horizon
The movement of items through a product distribution network is a complex dynamic process which depends not only on the network’s static topology but also on a knowledge of how ...
Moe Thandar Wynn, Colin J. Fidge, Arthur H. M. ter...
EDOC
2006
IEEE
15 years 5 months ago
VIDRE - A Distributed Service-Oriented Business Rule Engine based on RuleML
Business rules provide an elegant solution to manage dynamic business logic by separating business knowledge from its implementation logic. The drawback of most existing business ...
Christoph Nagl, Florian Rosenberg, Schahram Dustda...
ICRA
2005
IEEE
119views Robotics» more  ICRA 2005»
15 years 4 months ago
Comparison of Alternate Methods for Distributed Motion Planning of Robot Collectives within a Potential Field Framework
– In this paper, we evaluate the performance of two candidate formulations for distributed motion planning of robot collectives within an Artificial Potential Field (APF) framewo...
Leng-Feng Lee, Rajankumar Bhatt, Venkat Krovi