Listar Artículos de revista DEIM - EIMS Aldizkari artikuluak por fecha de publicación
Mostrando ítems 1-20 de 369
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Nyström discretizations of boundary integral equations for the solution of 2D elastic scattering problems
(Elsevier, 2024) Artículo / ArtikuluaWe present three high-order Nyström discretization strategies of various boundary integral equation formulations of the impenetrable time-harmonic Navier equations in two dimensions. One class of such formulations is ... -
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 ... -
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 ... -
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 ... -
A study on the suitability of different pooling operators for convolutional neural networks in the prediction of COVID-19 through chest x-ray image analysis
The 2019 coronavirus disease outbreak, caused by the severe acute respiratory syndrome type-2 virus (SARS-CoV-2), was declared a pandemic in March 2020. Since its emergence to the present day, this disease has brought ... -
Non-symmetric over-time pooling using pseudo-grouping functions for convolutional neural networks
(Elsevier, 2024) Artículo / ArtikuluaConvolutional Neural Networks (CNNs) are a family of networks that have become state-of-the-art in several fields of artificial intelligence due to their ability to extract spatial features. In the context of natural ... -
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 ... -
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 ... -
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 ... -
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 ... -
Counterexamples in isometric theory of symmetric and greedy bases
We continue the study initiated in Albiac and Wojtaszczyk (2006) of properties related to greedy bases in the case when the constants involved are sharp, i.e., in the case when they are equal to 1. Our main goal here is ... -
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. ... -
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 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 ... -
UAVradio: Radio link path loss estimation for UAVs
The UAVRadio Python module is a comprehensive toolkit designed to facilitate the analysis and prediction of radio signal path loss in Unmanned Aerial Vehicle (UAV) communication scenarios. The module encompasses a range ... -
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 ... -
Optimizing last-mile delivery: a multi-criteria approach with automated smart lockers, capillary distribution and crowdshipping
Background: This publication presents a review, multiple criteria optimization models, and a practical example pertaining to the integration of automated smart locker systems, capillary distribution networks, crowdshipping, ... -
Robots for elderly care: review, multi-criteria optimization model and qualitative case study
This paper focuses on three areas: the first is a review of current knowledge about social and service robots for elderly care. The second is an optimization conceptual model aimed at maximizing the efficiency of assigning ... -
Association of intrinsic capacity with respiratory disease mortality
(Elsevier, 2023) Artículo / ArtikuluaThe World Health Organization (WHO) introduced a framework for healthy aging in 2015 that emphasizes functional ability instead of absence of disease. Healthy ageing is defined as “the process of building and maintaining ... -
A multi-splitting method to solve 2D parabolic reaction-diffusion singularly perturbed systems
(Elsevier, 2023) Artículo / ArtikuluaIn this paper we design and analyze a numerical method to solve a type of reaction-diffusion 2D parabolic singularly perturbed systems. The method combines the central finite difference scheme on an appropriate piecewise ...