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Spatiotemporal Prediction of Nitrogen Dioxide Based on Graph Neural Networks
(Springer, 2022-11-10)
Air quality prediction, especially spatiotemporal prediction,
is still a challenging issue. Considering the impact of numerous factors on
air quality causes difficulties in integrating these factors in a spatiotemporal ...
Evaluating Indoor Localization Solutions in Large Environments Through Competitive Benchmarking: The EvAAL-ETRI Competition
(IEEE, 2015)
The increasing demand for services and higher comfort levels inside buildings, together with the rise in time spent indoor, ensure an upward trend in indoor localization demand for the future. Evaluation of indoor localization ...
Predicting Student Performance with Virtual Resources Interaction Data
(Springer, 2023)
E-learning can be able to act where traditional education cannot, thanks to its ease of interaction with virtual resources. In this work, the possibility of predicting the final outcome of students based solely on their ...
Testing first-order spherical symmetry of spatial point processes
(Institute of Statistical Science, Academia Sinica & International Chinese Statistical Association, 2020)
This study proposes a Kolmogorov-Smirnov-type test to assess the spherical symmetry of the first-order intensity function of a spatial point process (SPP). Spherical symmetry, which is an important assumption in the well ...
Bound states in the continuum in circular clusters of scatterers
(American Physical Society, 2023-02-21)
In this work, we study the localization of flexural waves in highly symmetric clusters of scatterers. It is shown that when the scatterers are placed regularly in the perimeter of a circumference the quality factor of the ...
Multivariate Kalman filtering for spatio-temporal processes
(Springer, 2022)
An increasing interest in models for multivariate spatio-temporal processes has been noted in the last years. Some of these models are very flexible and can capture both marginal and cross spatial associations amongst the ...
Long-Term Analyses of the Rate of Perceived Exertion as an Indicator of Intensity in Women’s Basketball during a Relegation Play-off
(MDPI, 2022-11)
Knowledge of internal load is essential to understand the effect of training and competition on athletes. The aim of this study was to analyse the validity of the rate of perceived exertion (RPE) scale as an indicator of ...
Uncertainty quantification for random parabolic equations with nonhomogeneous boundary conditions on a bounded domain via the approximation of the probability density function
(John Wiley & Sons, Ltd., 2018-11-14)
This paper deals with the randomized heat equation defined on a general bounded interval [L1, L2] and with nonhomogeneous boundary conditions. The solution is a stochastic process that can be related, via changes of variable, ...
Identification of Latent Topics in Patients Surviving COVID-19 in Mexico
(IEEE, 2023-01-11)
With the outbreak of the SARS-CoV-2 o COVID-19 pandemic, multiple studies of risk factors and their influence on patient deaths have been developed. However, little attention is often paid to analyzing patients in risk ...
A Spatially Correlated Model with Generalized Autoregressive Conditionally Heteroskedastic Structure for Counts of Crimes
(MDPI, 2022-06-29)
Crime is a negative phenomenon that affects the daily life of the population and its development. When modeling crime data, assumptions on either the spatial or the temporal relationship between observations are necessary ...