Agent orientation is currently pursued primarily as a software paradigm. Software with characteristics such as autonomy, sociality, reactivity and proactivity, and communicative an...
An efficient model-order reduction technique for general RLC networks is proposed. The method is extended from the previous projection-base moment matching method with considerin...
The aim of this study is to investigate the impact of various pre-processing models on the forecast capability of artificial neural network (ANN) when auditing financial accounts. ...
We propose a novel approach for statistical risk modeling of network attacks that lets an operator perform risk analysis using a data model and an impact model on top of an attack ...
In this paper we investigate the fault diagnosis problem in IP networks. We provide a lower bound on the average number of probes per edge using variational inference technique pro...
Rajesh Narasimha, Souvik Dihidar, Chuanyi Ji, Stev...