Visualitzant INIT_Articles per títol
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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 ... -
Identification of patterns for space-time event networks
Springer (2022)This paper provides new tools for analyzing spatio-temporal event networks. We build time series of directed event networks for a set of spatial distances, and based on scan-statistics, the spatial distance that generates ... -
Identifying crime generators and spatially overlapping high-risk areas through a nonlinear model: A comparison between three cities of the Valencian region (Spain)
Wiley (2021-06-29)The behavior and spatial distribution of crime events can be explained through the characterization of an area in terms of its demography, socioeconomy, and built environment. In particular, recent studies on the incidence ... -
Image mapping system for simulating ceramic environments
Springer (2018)Minimizing costs and increasing sales are a goal for every busi- ness nowadays. This fact, together with the development of new technologies, have driven the emergence of virtual applications where the customers can ... -
Image transmission through dynamic scattering media by single-pixel photodetection
Optical Society of America (2014)Smart control of light propagation through highly scattering media is a much desired goal with major technological implications. Since interaction of light with highly scattering media results in partial or complete depletion ... -
Imaging the optical properties of turbid media with single-pixel detection based on the Kubelka–Munk model
Optical Society of America (2019)We present a diffuse optical imaging system with structured illumination and integrated detection based on the Kubelka– Munk light propagation model for the spatial characterization of scattering and absorption properties ... -
Immersive Virtual-Reality System for Aircraft Maintenance Education: A Case Study
MDPI (2023-04-02)Aircraft maintenance is a highly relevant procedure in many industries, yet obtaining qualified personnel to carry it out is a difficult task. Training in such techniques is complex and requires access to facilities and ... -
Implementation, efficacy and cost effectiveness of the unified protocol in a blended format for the transdiagnostic treatment of emotional disorders: a study protocol for a multicentre, randomised, superiority controlled trial in the Spanish National Health System
BMJ Publishing Group (2021-12-31)INTRODUCTION Emotional disorders (EDs) have become the most prevalent psychological disorders in the general population, which has boosted the economic burden associated with their management. Approximately half of the ... -
Importance of habitat heterogeneity and biotic processes in the spatial distribution of a riparian herb (Carex remota L.): a point process approach
Springer (2013-01)This study attempts to understand the dependence on abiotic factors and on the biotic process of the population development. We used three spatial point process models (Poisson, Area-Interaction and shot-noise Cox processes) ... -
La importancia de la labor del programador. ¿Qué se espera? ¿Cómo se prepara? Análisis desde los lenguajes de programación
Asociación de Técnicos de Informática (ATI) (2013)A partir de los datos extraídos de una encuesta realizada a través de Novática, este trabajo pretende analizar, por un lado, los principales valores que perciben los diferentes actores profesionales (empresas, PYMEs, ... -
Improved perception of ceramic molds through augmented reality
Springer Nature (2022-05-23)Augmented Reality techniques allow the user to visualize part of the real world through a display device by incorporating graphical information into the existing physical information. In this sense, it is important to know ... -
Improving Hyperspectral Pixel Classification With Unsupervised Training Data Selection
Institute of Electrical and Electronics Engineers (IEEE) (2014)An unsupervised method for selecting training data is suggested here. The method is tested by applying it to hyperspectral land-use classification. The data set is reduced using an unsupervised band selection method and ... -
Improving RF Fingerprinting Methods by Means of D2D Communication Protocol
MDPI (2019-01-16)Radio Frequency (RF) fingerprinting is widely applied for indoor positioning due to the existing Wi-Fi infrastructure present in most indoor spaces (home, work, leisure, among others) and the widespread usage of smartphones ... -
Improving the Antibacterial Properties of Dental Bonding Materials Loaded with Silver Compounds
MDPI (2023-12-13)Biofilm accumulation, the appearance of white spot lesions and the development of secondary caries are the main complications in orthodontic patients. A promising approach to fight this situation is the development of ... -
Improving the Approximation of the First- and Second-Order Statistics of the Response Stochastic Process to the Random Legendre Differential Equation
Springer Nature Switzerland AG (2019-04-16)In this paper, we deal with uncertainty quantification for the random Legendre differential equation, with input coefficient A and initial conditions X0 and X1. In a previous study (Calbo et al. in Comput Math Appl ... -
Improving the approximation of the probability density function of random nonautonomous logistic-type differential equations
John Wiley & Sons, Ltd. (2019-08-16)In this paper, we address the problem of approximating the probability density function of the following random logistic differential equation: P ′ (t, 𝜔�) = A(t, 𝜔�)(1 − P(t, 𝜔�))P(t, 𝜔�), t ∈ [t0, T], P(t0, 𝜔�) ... -
Improving the reliability of deep learning computational ghost imaging with prediction uncertainty based on neighborhood feature maps
Optica Publishing Group (2024-05-10)Defect inspection is required in various fields, and many researchers have attempted deep-learning algorithms for inspections. Deep-learning algorithms have advantages in terms of accuracy and measurement time; however, ... -
In-home monitoring system based on WiFi fingerprints for ambient assisted living
IOS (2017-08)This paper presents an in-home monitoring system based on WiFi fingerprints for Ambient Assisted Living. WiFi fingerprints are used to continuously locate a patient at the different rooms in her/his home. The experiments ... -
Inactivation of SARS-CoV-2 by a chitosan/α-Ag2WO4 composite generated by femtosecond laser irradiation
Nature Research (2022)In the current COVID‑19 pandemic, the next generation of innovative materials with enhanced anti‑ SARS‑CoV‑2 activity is urgently needed to prevent the spread of this virus within the community. Herein, we report the ... -
Incremental probabilistic Latent Semantic Analysis for video retrieval
Elsevier (2015-06)Recent research trends in Content-based Video Retrieval have shown topic models as an effective tool to deal with the semantic gap challenge. In this scenario, this paper has a dual target: (1) it is aimed at studying ...