The NARX network is a dynamical neural architecture commonly used for input–output
modeling of nonlinear dynamical systems. When applied to time series prediction, the NARX …

In the mid 1990s, it was shown that the statistics of aggregated time series from Internet
traffic departed from those of traditional short range-dependent models, and were instead …

In recent years the significance of Gaussian processes to communication networks has
grown considerably. The inherent flexibility of the Gaussian traffic model enables the …

In this paper, a systematic analysis of hourly wind speed data obtained from four potential
wind generation sites in North Dakota is conducted. The power spectra of the data exhibited …

With the rise of the Internet, there has been increased interest in the use of computer models
to study the dynamics of communication networks. An important aspect of this trend has …

Networks-on-chip (NoCs) have been proposed as a viable solution to solving the
communication problem in multicore systems. In this new setup, mapping multiple …

We present a simple point process model of 1∕ f β noise, covering different values of the
exponent β. The signal of the model consists of pulses or events. The interpulse, interevent …

In this paper, a systematic analysis of hourly wind-speed data obtained from three potential
wind-generation sites (in North Dakota) is analyzed. The power spectra of the data exhibited …

With the aim of explaining the formal development behind the chaos-based modeling of
network traffic and other similar phenomena, we generalize the tools presented in the paper …

The Internet is one of the largest and most complex communication and information
exchange networks ever created. Therefore, its dynamics and traffic unsurprisingly take on a …