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Non-locality of the Willis coupling in fluid laminates
(Elsevier B.V., 2022-02-04)
The closed form expressions of the effective properties in periodic fluid laminates are
derived thanks to the Padé approximation of the transfer matrix. A second-order Taylor
expansion of the transfer matrix elements ...
Multiresolution Foliage Rendering
(CEUR Workshop Proceedings (CEUR-WS.org), 2020)
This work presents a continuous level of detail representation
of foliage of trees. Multiresolution modeling allows to adapt the number
of polygons to render to the relevance of the object in the scene. However,
foliage ...
Mejorar la destreza matemática con un videojuego de Realidad Aumentada
(CEUR Workshop Proceedings (CEUR-WS.org), 2020)
The traditional method of learning multiplication tables is
a repetitive and boring task. Teachers try to find new methods to motivate children in this learning. One of the lines to keep in mind it is to
integrate ...
Un lenguaje para la especificación de la lógica de juegos
(CEUR Workshop Proceedings (CEUR-WS.org), 2020)
The development of video games is a complex task due to the large
amount of knowledge it requires in terms of design and programming. In
particular, the specification of the behavior of the elements of a game is one ...
Periodically Correlated Space-Time Autoregressive Hilbertian Processes
(Atlantis Press, 2021-06)
In this paper, we introduce periodically correlated space-time autoregressive processes with values in Hilbert spaces. The existence conditions and the strong law of large numbers are established. Moreover, we present an ...
Accuracy of a single position estimate for kNN-based fingerprinting indoor positioning applying error propagation theory
(IEEE, 2023-06-23)
Indoor Positioning Systems usually consider the average positioning error over a set of evaluation samples, or a quartile of that value, as the global error. However, they do not provide a metric for the uncertainty for ...
Predicting Student Performance with Virtual Resources Interaction Data
(Springer, 2023)
E-learning can be able to act where traditional education cannot, thanks to its ease of interaction with virtual resources. In this work, the possibility of predicting the final outcome of students based solely on their ...
Spatiotemporal Prediction of Nitrogen Dioxide Based on Graph Neural Networks
(Springer, 2022-11-10)
Air quality prediction, especially spatiotemporal prediction,
is still a challenging issue. Considering the impact of numerous factors on
air quality causes difficulties in integrating these factors in a spatiotemporal ...
The Use of Machine Learning Techniques for Optimal Multicasting in 5G NR Systems
(IEEE, 2022-09-28)
Multicasting is a key feature of cellular systems, which provides an efficient way to simultaneously disseminate a large amount of traffic to multiple subscribers. However, the efficient use of multicast services in ...
Balancing Innovation and Responsibility: The e-DIPLOMA Project's Approach to Ethical, Inclusive, Accessible, and Sustainable Research (video)
(2023)
This video includes project motivation, primary objective and methodology developed at e-DIPLOMA project and emphasize the Responsible Research and Innovation actions implemented in the project. e-DIPLOMA ensures the ...