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...
In todays increasingly dynamic and competitive business environment, organizations strive to leverage their information resources to gain and sustain competitive advantage. Deci...
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...
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...
– 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...