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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 ...
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 ...
Structural Complexity and Informational Transfer in Spatial Log-Gaussian Cox Processes
(MDPI, 2021-08-31)
The doubly stochastic mechanism generating the realizations of spatial log-Gaussian
Cox processes is empirically assessed in terms of generalized entropy, divergence and complexity
measures. The aim is to characterize ...
Masked Auto-Encoding Spectral-Spatial Transformer for Hyperspectral Image Classification
(IEEE, 2022-10-28)
Deep learning has certainly become the dominant trend in hyperspectral (HS) remote sensing (RS) image classification owing to its excellent capabilities to extract highly discriminating spectral–spatial features. In this ...
First Dirichlet Eigenvalue and Exit Time Moment Spectra Comparisons
(Springer, 2023)
Egocentric video summarisation via purpose-orientedframe scoring and selection
(ElsevierPergamon, 2021-11-02)
Existing video summarisation techniques are quite generic in nature, since they generally overlook the important aspect of what actual purpose the summary will be serving. In sharp contrast with this mainstream work, it ...
Transfer Deep Learning for Remote Sensing Datasets: A Comparison Study
(IEEE, 2022-07-17)
Remote sensing is also benefiting from the quick development of deep learning algorithms for image analysis and classification tasks. In this paper, we evaluate the classification performance of a well-known Convolutional ...
Modulating the Gameplay Challenge Through Simple Visual Computing Elements: A Cube Puzzle Case Study
(UNIR - Universidad Internacional de La Rioja, 2022-05-02)
Positive player’s experiences greatly rely on a balanced gameplay where the game difficulty is related to player’s
skill. Towards this goal, the gameplay can be modulated to make it easier or harder. In this work, a ...
A set of deep learning algorithms for air quality prediction applications
(Elsevier, 2023)
This paper presents a set of machine learning algorithms, including grid-based (Bidirectional Convolutional Long Short-Term Memory) and graph-based (Attention Temporal Graph Convolutional Network) algorithms to predict air ...