This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...
Computer malwares (e.g., botnets, rootkits, spware) are one of the most serious threats to all computers and networks. Most malwares conduct their malicious actions via hijacking t...
We propose a framework for component-based modeling of distributed systems. It provides separation of concerns between computation (in object oriented components), coordination (vi...
We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex...
This paper provides a brief literature review of the current applications of simulation in Australia. The paper identifies areas that use simulation modeling and dynamic tools for...