We exploit the fact that qualitative Interval Algebra (IA) network problems are finite domain CSPs. In the first part of the paper, we show how to convert a qualitative IA network ...
Abstract. As computer networks grow in size, both physically and geographically, more scalable solutions to network administration are becoming necessary. This need is amplified by...
Jacob W. Kallman, Pedrum Minaie, Jason Truppi, Ser...
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
A key challenge facing wireless networking is to utilize the spectrum as e ciently as possible given current channel conditions and in the most e ective way for each application. ...
We are facing a growing user demand for ubiquitous Internet access. As a result, network ports and wireless LANs are becoming common in public spaces inside buildings such as loung...