We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
In the past decade, processor speed has become significantly faster than memory speed. Small, fast cache memories are designed to overcome this discrepancy, but they are only effe...
No one middleware communication model completely solves the problem of ensuring schedulability in every DRE system. Furthermore, there have been few studies to date of the trade-o...
Yuanfang Zhang, Bryan Thrall, Stephen Torri, Chris...
Distributed snapshots are an important building block for distributed systems, and, among other applications, are useful for constructing efficient checkpointing protocols. In ad...