A moving average is an average that aggregates a subset of variables from the set and moves across the sample. It is widely used in time-series forecasting. This paper studies the use of moving averages in some representative ...

Quality control of fruits to satisfy increasingly competitive food markets requires the implementation of automatic visual servo systems in fruit processing operations to cope with market challenges. A new and fast method ...

The problem of emergence of collective behavior in a system of two dimensional interacting moving agents is considered, the individual agent architecture is hybrid in the sense that the response is reactive but the agent ...

In the past years, psychologists have been increasingly interested in feelings of “being moved” (or “touched”) and their impact on cognition and behaviour. However, to better understand their long-term impact, we need a ...

We study analytically a system sustaining stable moving localized structures, namely, the one-dimensional quintic complex Ginzburg–Landau (G–L) equation with non-linear gradients. We obtain approximate solutions for the ...

Traditional crowd counting (optical flow or feature matching) techniques have been upgraded to deep learning (DL) models due to their lack of automatic feature extraction and low-precision outcomes. Most of these models ...

Aims. We investigate the maximum astrometric precision that can be reached on moving targets observed with digital-sensor arrays, and provide an estimate for its ultimate lower limit based on the Cramer-Rao bound. Methods. ...