Support vector regression is a promising method for time-series prediction, as it has good
generalisability and an overall stable behaviour. Recent studies have shown that it can …

Short-term prediction of hydrological time series using chaotic dynamical systems approach
has gained popularity. However, noise can severely affect the prediction accuracy of any …

Deciding what user impacts are natural or unnatural has inspired much debate.
Biophysically, moose cause similar kinds of soil and vegetation impacts as hikers. Yet …

In this paper, we present an externally triggered experimental chaotic circuit with a bipolar
junction transistor operating in its reverse active region in order to investigate for possible …

Many physical situations involve chaotic systems implemented in hardware. Among them
one-dimensional piecewise linear maps are popular candidates for such applications …

To explore the cooperative evolutionary mechanism among top management support,
employees' technical ability, and informatization performance in the process of the …

We conduct a meta-literature review on chaotic behaviour in financial markets for a 30-year
metadata to provide valuable insights on prolific authors and affiliations, productive …

Utilization of non-linear tools to characterize the state of development of the electricity
markets in Italy and Greece. This is equivalent to testing the Efficient Market Hypothesis on …

A new approach is proposed for evaluating the quality of fluorescent particle image
velocimetry (F-PIV) measurements for different superficial gas velocities (UG) in a bubble …

This thesis addresses the problem of inference in factor graphs, especially the LDPC codes,
almost solved by message-passing algorithms. In particular, the Belief Propagation …