Artículos de revista DEIM - EIMS Aldizkari artikuluak: Envíos recientes
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Probabilistic study of induced ordered linear fusion operators for time series forecasting
The aggregation of several predictors in time series forecasting has been used intensely in the last decade in order to construct a better resulting model. Some of the most used alternatives are the ones related to the ... -
Submultiplicative norms in CC(K) spaces with applications to uniform algebras
Certain algebra norms on the algebra of functions on a two-point set are defined and used to construct a new family of parametric algebra norms on the space CC(K) of continuous complex-valued functions on a compact Hausdorff ... -
Degree of totalness: how to choose the best admissible permutation for vector fuzzy integration
(Elsevier, 2023) Artículo / ArtikuluaThe use of aggregation operators that require ordering of the data brings a problem when the structures to be aggregated are multi-valued, since there may be several admissible orders. To addressing this problem, the concept ... -
Jordan 3-graded Lie algebras with polynomial identities
We study Jordan 3-graded Lie algebras satisfying 3-graded polynomial identities. Taking advantage of the Tits-Kantor-Koecher construction, we interpret the PI-condition in terms of their associated Jordan pairs, which ... -
Construction methods of fuzzy implications on bounded posets
(Elsevier, 2024) Artículo / ArtikuluaThe fuzzy implication on bounded lattices was introduced by Palmeira et al., and the method of extending fuzzy implications on bounded lattices by using retraction was provided. However, we find that the extension of fuzzy ... -
Logistic regression versus XGBoost for detecting burned areas using satellite images
Classical statistical methods prove advantageous for small datasets, whereas machine learning algorithms can excel with larger datasets. Our paper challenges this conventional wisdom by addressing a highly significant ... -
A criterion and incremental design construction for simultaneous kriging predictions
In this paper, we further investigate the problem of selecting a set of design points for universal kriging, which is a widely used technique for spatial data analysis. Our goal is to select the design points in order to ... -
Ultrametrics for context-aware comparison of binary images
Quantitative image comparison has been a key topic in the image processing literature for the past 30 years. The reasons for it are diverse, and so is the range of applications in which measures of comparison are needed. ... -
A new family of aggregation functions for intervals
Aggregation operators are unvaluable tools when different pieces of information have to be taken into account with respect to the same object. They allow to obtain a unique outcome when different evaluations are available ... -
Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences
Temporal sequences of satellite images constitute a highly valuable and abundant resource for analyzing regions of interest. However, the automatic acquisition of knowledge on a large scale is a challenging task due to ... -
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 ... -
Comment on 'Effects of Vivifrail multicomponent intervention on functional capacity' by Casas-Herrero et al.-The authors reply.
In this response letter, we would like to clarify some aspects related to the methodology and inferences derived from our work entitled 'Effects of Vivifrail multicomponent intervention on functional capacity', which was ... -
Modeling of noisy acceleration signals from quasi-periodic movements for drift-free position estimation
We present a novel approach to drift-free position estimation from noisy acceleration signals which often arise from quasi-periodic small-amplitude body movements. In contrast to the existing methods, this data-driven ... -
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 ... -
Un modelo para predecir cuántas camas UCI harán falta durante cada oleada
La crisis financiera mundial de 2008 puso de moda en España el término económico “prima de riesgo”, hasta entonces desconocido. Del mismo modo, la pandemia ha popularizado expresiones y términos como “doblar la curva”, ... -
Acoustic virtual vortices with tunable orbital angular momentum for trapping of Mie particles
Acoustic vortices can transfer angular momentum and trap particles. Here, we show that particles trapped in airborne acoustic vortices orbit at high speeds, leading to dynamic instability and ejection. We demonstrate stable ... -
Acoustic lock: position and orientation trapping of non-spherical sub-wavelength particles in mid-air using a single-axis acoustic levitator
We demonstrate acoustic trapping in both position and orientation of a non-spherical particle of sub-wavelength size in mid-air. To do so, we multiplex in time a pseudo-one-dimensional vertical standing wave and a ... -
Enhancing the quality of amplitude patterns using time-multiplexed virtual acoustic fields
Ultrasonic fields can push and levitate particles, heat up materials, induce contactless tactile stimuli, or affect the blood-brain barrier. Current phased-arrays can create dynamic amplitude patterns, but their quality ... -
Nonlinear trapping stiffness of mid-air single-axis acoustic levitators
We describe and experimentally explore a nonlinear stiffness model of the trapping of a solid particle in a single-axis acoustic levitator. In contrast to the commonly employed linear stiffness assumption, our nonlinear ... -
Body composition and resting energy expenditure in a group of children with achondroplasia
Background: Persons with achondroplasia develop early obesity, which is a comorbidity associated with other complications. Currently, there are no validated specific predictive equations to estimate resting energy expenditure ...