Typically, model-based prognostic algorithms estimate the remaining-useful-life distribution by characterizing the probable system trajectories described through state-space models. Unfortunately, as the state dimension ...

Electric Vehicles (EVs) have gained popularity over the past few years, given their potential to reduce the emission of Greenhouse Gases, which contribute to Climate Change. Researchers have put substantial effort into ...

This research focuses on a Hybrid Neural Adaptive State Space Model (NASSM), the purpose of which is to solve the complex problem of accurately characterising the ever changing (non-measurable) polarising impedance ...

In this paper, we use the Cramér-Rao lower uncertainty bound to estimate the maximum precision that could be achieved on the joint simultaneous (or two-dimensional) estimation of photometry and astrometry of a point source ...

La interfaz cerebro computador permite la interacción entre las señales extraídas del cerebro de una persona y su entorno, lo que se logra mediante el procesamiento de estas señales en un computador. Sin embargo, aún no ...

Presentamos un estudio de varios modelos neuronales que predicen los recorridos de escaneo oculares humanos (scanpaths) mientras visualizan libremente diferentes tipos de imágenes, y un análisis de qué arquitectura logra ...

There has been an increasing interest in the study of Gaussian Processes in the machine learning literature, both for the increase in computational power in the recent years and also the development of new algorithms that ...

We present a Bayesian inference methodology for the estimation of orbital parameters on single-line spectroscopic binaries with astrometric data, based on the No-U-Turn sampler Markov chain Monte Carlo algorithm. Our ...

El estudio de dónde decidimos mirar puede revelar las prioridades de nuestro sistema visual al explorar nuestro entorno. Cuando se observa una escena, el procesamiento de los estímulos visuales ocurre durante períodos ...

La caracterización de riesgo criminal constituye un gran desafío, principalmente porque la ocurrencia de eventos criminales constituye un proceso puntual de difícil predicción con lógicas similares a la de terremotos y ...