Over the last few years we have witnessed a great progress in the research devoted to
unconventional computing–an unorthodox approach to information handling. It includes …

Fault prognostics aims at predicting the degradation of equipment for estimating the
Remaining Useful Life (RUL). Traditional data-driven fault prognostic approaches face the …

Estimating engineering structures' health conditions and predicting their future behaviors are
fundamental problems for a city's safe and efficient operations. Data-driven solutions …

Abstract Echo State Networks (ESNs) and a Nonlinear Auto-Regressive Moving Average
model with eXogenous inputs (NARMAX) have been applied to multi-sensor time-series …

As a paradigm of computation, reservoir computing has gained an enormous momentum. In
principle, any sufficiently complex dynamical system equipped with a readout layer can be …

Inspiradas en la forma en que el cerebro procesa la información, las redes neuronales
artificiales (RNA) se crearon con el objetivo de reproducir habilidades humanas en tareas …

Recent advancements in machine learning (ML) offer researchers alternative methods to
interpret the physical world solely using data. These techniques have frequently surpassed …

[eng] Inspired by the way the brain processes information, artificial neural networks (ANNs)
were created with the aim of reproducing human capabilities in tasks that are hard to solve …