Listar INIT_Articles por título
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Sketch-Based Modeling in Mechanical Engineering Design: Current Status and Opportunities
Elsevier (2022-05-08)Sketch-Based Modeling (SBM) is a field of study that focuses on the automatic creation of 3D models from freehand drawings. Today, two related branches coexist: one aimed at facilitating input for 3D content creation, and ... -
Smartphone Apps for the Treatment of Mental Disorders: Systematic Review
JMIR Publications (2020-04-02)Background: Smartphone apps are an increasingly popular means for delivering psychological interventions to patients suffering from a mental disorder. In line with this popularity, there is a need to analyze and summarize ...
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Smartphone‑based serious games for mental health: a scoping review
Springer (2024)The use of smartphone-based Serious Games in mental health care is an emerging and promising research feld. Combining the intrinsic characteristics of games (e.g., interactiveness, immersiveness, playfulness, user-tailoring ...
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Smooth shadow boundaries with exponentially-warped gaussian filtering
Elsevier (2013-05)Shadow mapping is widely used in computer graphics for efficiently rendering shadows in real-time applications. Shadow maps cannot be filtered as regular textures, thus their limited resolution can cause severe shadow map ... -
Sneaky emotions: impact of data partitions in affective computing experiments with brain-computer interfacing
Springer (2023)Brain-Computer Interfacing (BCI) has shown promise in Machine Learning (ML) for emotion recognition. Unfortunately, how data are partitioned in training/test splits is often overlooked, which makes it difcult to attribute ...
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Social isolation during the COVID-19 pandemic in Spain: a population study
Nature Research (2022)Since March of 2020, billions of people worldwide have been asked to limit their social contacts in an effort to contain the spread of the SARS-CoV-2 virus. However, little research has been carried out to date on the ...
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Sociology Paradigms for Dynamic Integration of Devices into a Context-Aware System
Lectito (2017-01)Ubiquitous and m obile context - aware computing is an essential component of the smart cities infrastructure. Widely available wireless networks, the maturity level of distributed ...
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Solving a class of random non-autonomous linear fractional differential equations by means of a generalized mean square convergent power series
Elsevier Ltd. (2017-11)The aim of this paper is to solve a class of non-autonomous linear fractional differential equations with random inputs. A mean square convergent series solution is constructed in the case that the fractional order of ...
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Some Notes to Extend the Study on Random Non-Autonomous Second Order Linear Differential Equations Appearing in Mathematical Modeling
MDPI (2018-11-27)The objective of this paper is to complete certain issues from our recent contribution (Calatayud, J.; Cortés, J.-C.; Jornet, M.; Villafuerte, L. Random non-autonomous second order linear differential equations: mean ...
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Some properties of local weighted second-order statistics for spatio-temporal point processes
Springer (2020)Diagnostics of goodness-of-fit in the theory of point processes are often considered through the transformation of data into residuals as a result of a thinning or a rescaling procedure. We alternatively consider here ...
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Space-Time Analogies in Optics
Elsevier (2011)The so-called space-timeanalogy constitutes a source of inspiration to understand, engineer, and implement new systems for ultrafast optical signal processing based on concepts borrowed from the well-established field of ...
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Space-time autoregressive estimation and prediction with missing data based on Kalman filtering
Wiley (2020-11)We propose a Kalman filter algorithm to provide a formal statistical analysis of space‐time data with an autoregressive structure in time. The Kalman filter technique allows to capture the temporal dependence as well as ...
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Space.time interpolation of daily air temperatures
UCLA Department of Statistics (2012)We propose a model to describe the mean function as well as the spatio-temporal covariance structure of 15 years of both maximum and minimum daily temperature data from 190 stations throughout the region of Catalonia ...
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Sparse Multi-modal probabilistic Latent Semantic Analysis for Single-Image Super-Resolution
Elsevier (2018)This paper presents a novel single-image super-resolution (SR) approach based on latent topics in order to take advantage of the semantics pervading the topic space when super-resolving images. Image semantics has shown ...
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Spatial Cox processes in an infinite-dimensional framework
Sociedad de Estadística e Investigación Operativa (Spanish Society of Statistics and Operations Research) (2021-04-29)We introduce a new class of spatial Cox processes driven by a Hilbert-valued randomlog-intensity. We adopt a parametric framework in the spectral domain, to estimateits spatial functional correlation structure. Specifically, ...
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Spatial pattern analysis using hybrid models: an application to the Hellenic seismicity
Springer Verlag (2017)Earthquakes are one of the most destructive natural disasters and the spatial distribution of their epi- centres generally shows diverse interaction structures at different spatial scales. In this paper, we use a ...
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Spatial pattern modelling of wildfires in Catalonia, Spain 2004–2008
Elsevier (2013)The paper has three objectives: firstly, to evaluate how the extent of clustering in wildfires differs across the years they occurred; secondly, to analyse the influence of covariates on trends in the intensity of wildfire ...
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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 ...
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Spatial recurrences for pedestrian classification
Springer U.S. (2012-09)In this work, a framework is proposed for pedestrian classification based on spatial recurrences in the form of recurrence plots. This representation is more general and potentially more discriminative than a histogram of ...
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Spatial threshold exceedance analysis through marked point processes
Wiley- Blackwell (2012)Indicators of recurrence, persistence and, in general, distribution patterns of extremal events defined by random field threshold exceedances provide relevant information on critical phenomena for risk assessment. Such ...
