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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 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 ...
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)
A stochastic Bayesian bootstrapping model for COVID-19 data
(Springer, 2022-01-11)
We provide a stochastic modeling framework for the incidence of COVID-19 in Castilla-Leon (Spain) for the period March 1, 2020 to February 12, 2021, which encompasses four waves. Each wave is appropriately described by a ...
A spatial randomness test based on the box-counting dimension
(Springer, 2022)
Statistical modelling of a spatial point pattern often begins by testing the hypothesis of spatial randomness. Classical tests are based on quadrat counts and distance-based methods. Alternatively, we propose a new statistical ...
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 ...
Emotive facets of place meet urban analytics
(Wiley, 2022-10)
The lack of a well-established and unified place theory across disciplines is decelerating its formalization, evolution, and especially its pragmatic implications and applicability. In this article, we identify research ...
Attentional Dense Convolutional Neural Network for Water Body Extraction From Sentinel-2 Images
(IEEE, 2022-08-15)
Monitoring water bodies from remote sensing data is
certainly an essential task to supervise the actual conditions of the
available water resources for environment conservation, sustainable development, and many other ...