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Machine learning assisted intelligent design of meta structures: a review
(OAE Publishing, 2023-10)
In recent years, the rapid development of machine learning (ML) based on data-driven or environment interaction
has injected new vitality into the field of meta-structure design. As a supplement to the traditional ...
TUJI1 Dataset: Multi-device dataset for indoor localization with high measurement density
(Elsevier, 2024-03-22)
Positioning in indoor scenarios using signals of opportunity is an effective solution enabling accurate and reliable performance in Global Navigation Satellite System (GNSS)-obscured scenarios. Despite the availability of ...
Developing a smartphone App based on the Unified Protocol for the transdiagnostic treatment of emotional disorders: A qualitative analysis of users and professionals' perspectives
(Elsevier, 2022-09)
Emotional Disorders have become the most prevalent mental disorders in the world. In relation to their high
prevalence, mental health care from public health services faces major challenges. Consequently, finding solutions ...
Spatial point processes and neural networks: A convenient couple
(Elsevier, 2022)
Different spatial point process models and techniques have been developed in the past decades to facilitate the statistical analysis of spatial point patterns. However, in some cases the spatial point process methodology ...
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 ...