Abstract.We introduce the notion of distributed password-based publickey cryptography, where a virtual high-entropy private key is implicitly dened as a concatenation of low-entrop...
In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...
X. Rosalind Wang, Joseph T. Lizier, Oliver Obst, M...
—In the future smart city, new information and communication technologies will enable a better management of the available resources. The future smart grid infrastructure is emer...
When automating work, it is often desirable to compensate completed work by undoing the work done by one or more activities. In the context of workflow, where compensation actions...
In this paper, we propose a Bayesian learning approach to promoting diversity for information retrieval in biomedicine and a re-ranking model to improve retrieval performance in t...