Background: The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction ...
Peter Li, Joseph O. Dada, Daniel Jameson, Irena Sp...
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
In this paper we present our vision of the Internet Enterprise: a highly interoperable, virtual enterprise infrastructure for individuals, small businesses, and large corporations...
Abdelsalam Helal, Stanley Y. W. Su, Jie Meng, Raja...
— Balanced truncation (BT) model order reduction (MOR) is known for its superior accuracy and computable error bounds. Balanced stochastic truncation (BST) is a particular BT pro...