Artículos de revista DEIM - EIMS Aldizkari artikuluak
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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, ... -
Vegetable waste extracts as enhancers of baculovirus infections
Vegetable waste extracts (VWE) contain a great variety of antioxidants such as polyphenols, which have shown to potentiate baculovirus infections, making them ingredients for pest control ingredients. In the present study, ... -
A scalable approach for short-term disease forecasting in high spatial resolution areal data
Short-term disease forecasting at specific discrete spatial resolutions has become a high-impact decision-support tool in health planning. However, when the number of areas is very large obtaining predictions can be ... -
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 ... -
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 ... -
Price of Anarchy with multiple information sources under competition
We characterize the Price of Anarchy (PoA) in a single channel under the presence of K competing sources. As performance metric we consider the Age of Information, which measures the freshness of information in a remote ... -
Risk-averse decision-making to maintain supply chain viability under propagated disruptions
(Taylor and Francis Group, 2023) Artículo / ArtikuluaIn this paper, stochastic optimisation of CVaR is applied to maintain risk-averse viability and improve resilience of a supply chain under propagated disruptions. In order to establish the risk-averse boundaries on supply ... -
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 ...