Listar Institute of New Imaging Technologies (INIT) por título
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Gestión de datos geográficos en bibliotecas universitarias españolas: estado de la cuestión
CSIC (2015)Este trabajo presenta los resultados de una encuesta sobre la gestión de datos geográficos digitales en bibliotecas universitarias españolas. El objetivo de la investigación es averiguar en qué estado se encuentran las ... -
GI Systems for Public Health with an Ontology Based Approach
AGILE (2012)Public health research brings substantial benefit to society. Finding data in an efficient way is necessary to carry out relevant space time analysis to address particular studies such as mortality ... -
Giga-voxel multidimensional fluorescence imaging combining single-pixel detection and data fusion
Optical Society of America (2021-08-27)Time-resolved fluorescence imaging is a key tool in biomedical applications, as it allows to non-invasively obtain functional and structural information. However, the big amount of collected data introduces challenges in ... -
Glassy dynamics of two poly(ethylene glycol) derivatives in the bulk and in nanometric confinement as reflected in its inter- and intra-molecular interactions
AIP Publishing (2018-08)The inter- and intra-molecular interactions as they evolve in the course of glassy solidification are studied by broadband dielectric—and Fourier-transform infrared—spectroscopy for oligomeric derivatives of poly(ethylene ... -
Glimpse: A gaze-based measure of temporal salience
Multidisciplinary Digital Publishing Institute (2021-04-29)Temporal salience considers how visual attention varies over time. Although visual salience has been widely studied from a spatial perspective, its temporal dimension has been mostly ignored, despite arguably being of ... -
GPS Suitability for Physical Frailty Assessment
MDPI (2024-07)The ageing of the population needs the automation of patient monitoring. The objective of this is twofold: to improve care and reduce costs. Frailty, as a state of increased vulnerability resulting from several diseases, ... -
GPU Parallel Implementation of Dual-Depth Sparse Probabilistic Latent Semantic Analysis for Hyperspectral Unmixing
IEEE (2019-08-22)Hyperspectral unmixing (HU) is an important task for remotely sensed hyperspectral (HS) data exploitation. It comprises the identification of pure spectral signatures (endmembers) and their corresponding fractional abundances ... -
Gradient index phononic crystals and metamaterials
De Gruyter (2019)Phononic crystals and acoustic metamaterials are periodic structures whose effective properties can be tailored at will to achieve extreme control on wave propagation. Their refractive index is obtained from the ... -
Graph Neural Network for Air Quality Prediction: A Case Study in Madrid
IEEE (2023)Air quality monitoring, modelling and forecasting are considered pressing and challenging topics for citizens and decision-makers, including the government. The tools used to achieve the above goals vary depending on the ... -
Graph Relation Network: Modeling Relations Between Scenes for Multilabel Remote-Sensing Image Classification and Retrieval
IEEE (2020-08-21)Due to the proliferation of large-scale remote-sensing (RS) archives with multiple annotations, multilabel RS scene classification and retrieval are becoming increasingly popular. Although some recent deep learning-based ... -
Graphical Framework for Categorizing Data Capabilities and Properties of Objects in the Internet of Things
IEEE (2020-01-27)Things are the core of the Internet of Things (IoT) and must be properly characterized according to the different functions they accomplish. Identifying their capabilities and combining them as sets provides a view on the ... -
Graphical modelling and partial characteristics for multitype and multivariate-marked spatio-temporal point processes
Elsevier (2021-04)A method for dealing with multivariate analysis of marked spatio-temporal point processes is presented by introducing different partial point characteristics, and by extending the spatial dependence graph model formalism. ... -
Green nanoparticle synthesis at scale : a perspective on overcoming the limits of pulsed laser ablation in liquids for high-throughput production
Royal Society of Chemistry (2023-07-06)Nanoparticles have become increasingly important for a variety of applications, including medical diagnosis and treatment, energy harvesting and storage, catalysis, and additive manufacturing. The development of nanoparticles ... -
Guided Depth Completion Using Active Infrared Images in Time of Flight Systems
Springer (2023-06-27)Depth information has been successfully used in many computer vision applications, but depth imaging sensors frequently provide missing values, mainly around objects boundaries. These invalid values and image gaps cause ... -
gvSIG education for Disaster Risk Management within an international cooperation project
gvSIG Association (2012-11)University jaume I (UJI) and University of Bahir Dar (BDU) are involved in a cooperation project sponsored by “Agencia Española de Cooperación al Desarrollo” (AECID). The project called "Strengthening the research center ... -
Head and eye egocentric gesture recognition for human-robot interaction using eyewear cameras
IEEE (2022-06-08)Non-verbal communication plays a particularly important role in a wide range of scenarios in Human-Robot Interaction (HRI). Accordingly, this work addresses the problem of human gesture recognition. In particular, we focus ... -
Heteroskedastic geographically weighted regression model for functional data
Elsevier (2020)A large number of approaches for modelling spatially dependent functional variables often assume that the functional regression coefficients are constant over the region of interest. However, in many occasions it is far ... -
Hierarchical clustering of spatially correlated functional data
John Wiley & Sons (2012-11)Classification problems of functional data arise naturally in many applications. Several approaches have been considered for solving the problem of funding groups based on functional data. In this paper we are interested ... -
Hierarchical spatial modeling of the presence of Chagas disease insect vectors in Argentina. A comparative approach
Springer Verlag (2016)We modeled the spatial distribution of the most important Chagas disease vectors in Argentina, in order to obtain a predictive mapping method for the probability of presence of the vector species. We analyzed both the ... -
High leverage detection in general functional regression models with spatially correlated errors
Wiley (2021)The presence of curves that deviate markedly from the core of a set of curves can greatly affect inference and forecasting in a functional regression model. Thus their detection is key to increase the accuracy of the ...