Listar Dpto. Estadística, Informática y Matemáticas - Estatistika, Informatika eta Matematika Saila [desde mayo 2018 / 2018ko maiatzetik] por fecha de publicación
Mostrando ítems 21-40 de 498
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Solving vehicle routing problems under uncertainty and in dynamic scenarios: from simheuristics to agile optimization
Many real-life applications of the vehicle routing problem (VRP) occur in scenarios subject to uncertainty or dynamic conditions. Thus, for instance, traveling times or customers demands mightMany real-life applications ... -
Optimization of acoustic fields: advances towards its use for matter manipulation and contactless fabrication
Los campos de presión acústica son capaces de modelar y levitar partículas de una amplia gama de materiales y tamaños a través del aire, el agua o el tejido biológico. Esto tiene aplicaciones en cristalografía, manipulación ... -
A splitting uniformly convergent method for one-dimensional parabolic singularly perturbed convection-diffusion systems
In this paper we deal with solving robustly and efficiently one-dimensional linear parabolic singularly perturbed systems of convection-diffusion type, where the diffusion parameters can be different at each equation and ... -
Acuity-based rotational patient-to-physician assignment in an emergency department using electronic health records in triage
Emergency department (ED) operational metrics generated by a new acuity-based rotational patient-to-physician assignment (ARPA) algorithm are compared with those obtained with a simple rotational patient assignment (SRPA) ... -
Hierarchical spatio-temporal change-point detection
Detecting change-points in multivariate settings is usually carried out by analyzing all marginals either independently, via univariate methods, or jointly, through multivariate approaches. The former discards any inherent ... -
Machine learning procedures for daily interpolation of rainfall in Navarre (Spain)
(Springer, 2023) Capítulo de libro / Liburuen kapituluaKriging is by far the most well known and widely used statistical method for interpolating data in spatial random fields. The main reason is that it provides the best linear unbiased predictor and it is an exact interpolator ... -
A multistate model and its standalone tool to predict hospital and ICU occupancy by patients with COVID-19
Objective: This study aims to build a multistate model and describe a predictive tool for estimating the daily number of intensive care unit (ICU) and hospital beds occupied by patients with coronavirus 2019 disease ... -
Small area variations in non-affective first-episode psychosis: the role of socioeconomic and environmental factors
(Springer, 2023) Artículo / ArtikuluaBackground: There is strong evidence supporting the association between environmental factors and increased risk of non-affective psychotic disorders. However, the use of sound statistical methods to account for spatial ... -
Elton's near unconditionality of bases as a threshold-free form of greediness
Elton's near unconditionality and quasi-greediness for largest coefficients are two properties of bases that made their appearance in functional analysis from very different areas of research. One of our aims in this note ... -
Scores of hesitant fuzzy elements revisited: "Was sind und was sollen"
(Elsevier, 2023) Artículo / ArtikuluaThis paper revolves around the notion of score for hesitant fuzzy elements, the constituent parts of hesitant fuzzy sets. Scores allow us to reduce the level of uncertainty of hesitant fuzzy sets to classical fuzzy sets, ... -
New series expansions for the ℋ-function of communication theory
TheH-function of communication theory plays an important role inthe error rate analysis in digital communication with the presenceof additive white Gaussian noise (AWGN) and generalized multipathfading conditions. In this ... -
Moisture content estimation models of flour matrices in the 67-110 GHz frequency range using a nondestructive and contactless monitoring system
This work addresses the lack of moisture content estimation models for food products in the millimeter-wave frequency range and showcases the potential of this range for designing compact, cost-effective, and in-line food ... -
Democracy of quasi-greedy bases in p-Banach spaces with applications to the efficiency of the thresholding greedy algorithm in the hardy spaces Hp(Dd)
We use new methods, specific for non-locally convex quasi-Banach spaces, to investigate when the quasi-greedy bases of a -Banach space for 0 < p < p are democratic. The novel techniques we obtain permit to show in particular ... -
Some construction methods for pseudo-overlaps and pseudo-groupings and their application in group decision making
In many real-world scenarios, the importance of different factors may vary, making commutativity an unreasonable assumption for aggregation functions, such as overlaps or groupings. To address this issue, researchers have ... -
Designing experiments for estimating an appropriate outlet size for a silo type problem
Jam formation is a problem that may occur when granular material is discharged by gravity from a silo. The estimation of the minimum outlet size, which guarantees that the time to the next jamming event is long enough, can ... -
A convergent and asymptotic Laplace method for integrals
Watson’s lemma and Laplace’s method provide asymptotic expansions of Laplace integrals F (z) := ∫ ∞ 0 e −zf (t) g(t)dt for large values of the parameter z. They are useful tools in the asymptotic approximation of ... -
Women, Science and Technology Chair—Promoting women’s careers in stem fields
The Chair of Women, Science and Technology of the Universidad Pública de Navarra (UPNA) aims to increase the participation of women in the fields of science and technology. Scientific culture and dissemination are the main ... -
Using publish/subscribe for message routing in mobile environments
Publish/subscribe is a mature communication paradigm to route and deliver events from publishers to interested subscribers. Initially conceived for large scale systems, e.g., the Internet, it has been used more recently ... -
Design of an immersive virtual reality framework to enhance the sense of agency using affective computing technologies
Virtual Reality is expanding its use to several fields of application, including health and education. The continuous growth of this technology comes with new challenges related to the ways in which users feel inside these ... -
Mejoras a la capacidad de generalización de la inteligencia artificial
La fusión de información es un aspecto crucial del análisis moderno de datos y la toma de decisiones. Implica la integración de múltiples fuentes de información para obtener una com prensión más completa y precisa de un ...