The goal of this work is to design and implement an agent-based system that facilitates interaction among a group of individuals who are part of an organization, observe types and...
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
In this paper, we address the problem of increasing the effectiveness of an intrusion detection system (IDS) for a cluster of nodes in ad hoc networks. To reduce the performance o...
Hadi Otrok, Noman Mohammed, Lingyu Wang, Mourad De...
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
This paper presents a social and personal context modeling method on mobile device. It infers user’s contexts, such as amity with others and emotional state, from uncertain logs...