Listar Institute of New Imaging Technologies (INIT) por idioma "eng"
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A smartphone-based serious game for depressive symptoms: Protocol for a pilot randomized controlled trial
Elsevier (2023-04-25)Background Depression is the most prevalent mental disorder, with detrimental effects on the patient's well-being, high disability, and a huge associated societal and economic cost. There are evidence-based treatments, ... -
A spatial functional count model for heterogeneity analysis in time
Springer (2021)A spatial curve dynamical model framework is adopted for functional prediction of counts in a spatiotemporal log-Gaussian Cox process model. Our spatial functional estimation approach handles both wavelet-based heterogeneity ... -
A spatial pattern analysis of the halophytic species distribution in an arid coastal environment
Springer Verlag (2015)Obtaining information about the spatial distribution of desert plants is considered as a serious challenge for ecologists and environmental modeling due to the required intensive field work and infrastructures in harsh and ...
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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 ...
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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 ...
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A spatio-temporal Poisson hurdle point process to model wildfires
Springer (2013-11)Wildfires have been studied in many ways, for instance as a spatial point pattern or through modeling the size of fires or the relative risk of big fires. Lately a large variety of complex statistical models can be fitted ...
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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 ...
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A study of deep neural networks for human activity recognition
Wiley (2020)Human activity recognition and deep learning are two fields that have attracted attention in recent years. The former due to its relevance in many application domains, such as ambient assisted living or health monitoring, ...
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A survey on 3D cad model quality assurance and testing tools
Elsevier (2017-02)A new taxonomy of issues related to CAD model quality is presented, which distinguishes between explicit and procedural models. For each type of model, morphologic, syntactic, and semantic errors are characterized. The ...
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A survey on uncertainty quantification in deep learning for financial time series prediction
Elsevier Science Direct (2024-01-28)Investors make decisions about buying and selling a financial asset based on available information. The traditional approach in Deep Learning when trying to predict the behavior of an asset is to take a price history, train ...
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A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges
Elsevier (2021-04-08)Technology is continually undergoing a constituent development caused by the appearance of billions new interconnected “things” and their entrenchment in our daily lives. One of the underlying versatile technologies, namely ...
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A universal kriging approach for spatial functional data
Springer (2013-02)In a wide range of scientific fields the outputs coming from certain measurements often come in form of curves. In this paper we give a solution to the problem of spatial prediction of non-stationary functional data. We ...
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A virtual globe tool for searching and visualizing geo-referenced media resources in social networks
Springer (2012)The current collaborative context and resource sharing that drives Web 2.0 is gaining importance within academia and industry, which is stimulating the development of new techniques for content retrieval, sharing and ...
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ABC Shadow algorithm: a tool for statistical analysis of spatial patterns
Springer Verlag (2017)This paper presents an original ABC algorithm, ABC Shadow, that can be applied to sample posterior densities that are continuously differentiable. The proposed algorithm solves the main condition to be fulfilled by any ABC ...
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Acceptability and Satisfaction of an ICT-based Training for University Teachers
International Forum of Educational Technology and Society (2015)E-learning can be defined as learning facilitated and supported through the use of ICTs. ICTs can increase students’ motivation, accelerate the knowledge process and facilitate the information access. The aim of this paper ...
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Accuracy of a single position estimate for kNN-based fingerprinting indoor positioning applying error propagation theory
IEEE (2023-06-23)Indoor Positioning Systems usually consider the average positioning error over a set of evaluation samples, or a quartile of that value, as the global error. However, they do not provide a metric for the uncertainty for ...
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Acoustic anomalous reflectors based on diffraction grating engineering
American Physical Society (2018)We present an efficient method for the design of anomalous reflectors for acoustic waves. The approach is based on the fact that the anomalous reflector is actually a diffraction grating in which the amplitude of all ...
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Active wavefront compensation of broadband femtosecond laser pulses through pupil segmentation
Spriger (2014-10)Wavefront aberrations play a major role when focusing an ultrashort laser pulse to a high-quality focal spot. Here, we report a novel method to measure and correct wavefront aberrations of a 30-fs pulsed ...
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Adapting Models to Warn Fungal Diseases in Vineyards Using In-Field Internet of Things (IoT) Nodes
MDPI (2019)Weather conditions are one of the main threats that can lead to diseases in crops. Unfavourable conditions, such as rain or high humidity, can produce a risk of fungal diseases. Meteorological monitoring is vital to have ...
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Adaptive single-pixel imaging through turbid media
Optica Publishing Group (2022-07-11)We present a system for imaging objects through non-homogeneous scattering media that works in an adaptive way by combining diffuse optical imaging (DOI) and single-pixel imaging (SPI) techniques. The experimental results ...
