In this paper, we present a variational Bayesian (VB) approach to computing the interval estimates for nonhomogeneous Poisson process (NHPP) software reliability models. This appr...
Hiroyuki Okamura, Michael Grottke, Tadashi Dohi, K...
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
Martin Riedmiller, Michael Montemerlo, Hendrik Dah...
—The adaptation of structured P2P networks, i.e. Distributed Hash Tables (DHTs), to wireless ad-hoc networks has been investigated in recent years. Existing work assume all peers...
Abstract—Network Intrusion Detection and Prevention Systems (NIDPSs) are vital in the fight against network intrusions. NIDPSs search for certain malicious content in network tr...
N. Sertac Artan, Rajdip Ghosh, Yanchuan Guo, H. Jo...
This paper discusses implementation of the next generation solution for power system control and monitoring. The new design is based on the use of synchronized sampling technology...