In this paper we address the problem of merging qualitative constraints networks (QCNs). We propose a rational merging procedure for QCNs. It is based on translations of QCNs into ...
In this paper, we review our work on a time series forecasting methodology based on the combination of unsupervised clustering and artificial neural networks. To address noise and...
Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitr...
We design new feed-forward multi-layered neural networks which perform di erent elementary arithmetic operations, such as bit shifting, addition of N p-bit numbers, and multiplica...
Robust operation of wireless sensor networks deployed in harsh environment is important in many application. In this paper, we develop a robust technique for distributed detection...
Networking software is a growing bottleneck in modern workstations, particularly for high throughput applications such as networked digital video. We measure various components of...