Listar LCC - Artículos por título
Mostrando ítems 172-191 de 244
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Padé numerical schemes for the sine–Gordon equation
Martín-Vergara, Francisca; Villatoro-Machuca, Francisco Román
; Rus Mansilla, Francisco (Elsevier, 2019)
The sine-Gordon equation turn up in several problems in science and engineering. Although it is integrable, in practical applications, its numerical solution is powerful and versatile. Four novel implicit finite difference ... -
Padé numerical schemes with Richardson extrapolation for the sine–Gordon equation
Martín-Vergara, Francisca; Rus-Mansilla, Francisco de Asís; Villatoro-Machuca, Francisco Román (Elsevier, 2020)
Four novel implicit finite difference methods with ( q + s ) -th order in space based on ( q, s )-Padé approximations have been analyzed and developed for the sine-Gordon equation. Specifically, (4,0)-, (2,2)-, (4,2)-, and ... -
Panorama Construction for PTZ Camera Surveillance with the Neural Gas network
Thurnhofer-Hemsi, Karl; López-Rubio, Ezequiel; Domínguez, Enrique; Luque-Baena, Rafael Marcos; Molina-Cabello, Miguel Ángel (Wiley, 2018-04)
The construction of a model of the background of a scene still remains as a challenging task in video surveillance systems, in particular for moving cameras. This work presents a novel approach for constructing a panoramic ... -
Parallel PSO for Efficient Neural Network Training Using GPGPU and Apache Spark in Edge Computing Sets
Capel-Tuñon, Manuel Isidoro; Salguero-Hidalgo, Alberto Gabriel; Holgado-Terriza, Juan Antonio (MDPI, 2024-08-26)
The training phase of a deep learning neural network (DLNN) is a computationally demanding process, particularly for models comprising multiple layers of intermediate neurons.This paper presents a novel approach to ... -
Pattern recognition frequency-based feature selection with multi-objective discrete evolution strategy for high-dimensional medical datasets
Nematzadeh, Hossein; García-Nieto, José Manuel; Aldana-Montes, José Francisco; Navas-Delgado, Ismael (Elsevier, 2024-02-17)
Feature selection has a prominent role in high-dimensional datasets to increase classification accuracy, decrease the learning algorithm computational time, and present the most informative features to decision-makers. ... -
Performance analysis of the Multi‑connection Tactile Internet Protocol over 5G
(Springer Nature, 2023)Tactile Internet is an Internet network that combines ultra-low latency with extremely high availability and reliability. Since traditional protocols, such as UDP and TCP, cannot support this operation, other transport ... -
Pollen recognition through an open-source web-based system: automated particle counting for aerobiological analysis
Chaves García, Antonio Jesús; Martín-Fernández, Cristian; Llopis-Torres, Luis Manuel; Díaz-Rodríguez, Manuel; Ruiz-Mata, Rocío; Gálvez-Montañez, Enrique de; Recio-Criado, María Marta; Trigo-Pérez, María del Mar; Picornell Rodríguez, Antonio[et al.] (Springer Nature, 2023-12-20)
Airborne pollen is produced by plants for their sexual reproduction and can have negative impacts on public health. The current monitoring systems are based on manual sampling processes which are tedious and time-consuming. ... -
Polyglot software development: wait, what?
Mussbacher, Gunter; Combemale, Benoit; Kienzle, Jörg; Burgueño-Caballero, Lola; Garcia-Dominguez, Antonio; Jézéquel, Jean-Marc; Jouneaux, Gwendal; Khelladi, Djamel-Eddine; Mosser, Sébastien; Pulgar, Corinne; Sahraoui, Houari; Schiedermeier, Maximilian; Storm, Tijs van der[et al.] (IEEE, 2024)
We propose a concise and unambiguous definition of polyglot software development with a conceptual model and characterize the techniques used for the specification and operationalization of polyglot software development ... -
Portable motorized telescope system for wind turbine blades damage detection
Carnero, Alejandro; Martín-Fernández, Cristian; Díaz-Rodríguez, Manuel (Wiley, 2023)
Wind turbines are among the fastest-growing sources of energy production and the maintenance operations include regular inspection of their blades, causing considerable downtime and cost. In addition, the manual inspection ... -
PQ-learning: aprendizaje por refuerzo multiobjetivo
En este artí culo describimos y analizamos PQ-learning, un algoritmo para problemas de aprendizaje por refuerzo multiobjetivo. El algoritmo es una extensi ón de Q-learning, un algoritmo para problemas de aprendizaje ... -
Predicting the effects of suspenseful outcome for automatic storytelling
De la Torre-Moreno, Pablo; León, Carlos; Salguero-Hidalgo, Alberto Gabriel; Tapscott, Alan; de la torre, Pablo (Elsevier, 2020-12-17)
Automatic story generation systems usually deliver suspense by including an adverse outcome in the narrative, in the assumption that the adversity will trigger a certain set of emotions that can be categorized as suspenseful. ... -
Preference-based evolutionary multi-objective optimization for portfolio selection: a new credibilistic model under investor preferences
(Springer, 2019)We propose a new credibility portfolio selection model, in which a measure of loss aversion is introduced as an objective function, joint to the expected value of the returns and the below-mean absolute semi-deviation as ... -
Private set intersection: A systematic literature review
Morales, Daniel; Agudo-Ruiz, Isaac; López, Javier (Elsevier, 2023)
Secure Multi-party Computation (SMPC) is a family of protocols which allow some parties to compute a function on their private inputs, obtaining the output at the end and nothing more. In this work, we focus on a particular ... -
Proposal and testing Goals‐Guided Interaction for occasional users.
Carrillo-León, Antonio Luis; Falgueras-Cano, Juan (Springer, 2020-02-01)
The latest shifts in technology have brought about new kinds of users who occasion- ally access unfamiliar systems in new scenarios. This way of use should not request any learning curve. There have been many attempts to ... -
Pruning dominated policies in multiobjective Pareto Q-learning
Mandow-Andaluz, Lorenzo; Pérez-de-la-Cruz-Molina, José Luis (2019-10-18)
The solution for a Multi-Objetive Reinforcement Learning problem is a set of Pareto optimal policies. MPQ-learning is a recent algorithm that approximates the whole set of all Pareto-optimal deterministic policies by ... -
QoE Evaluation: The TRIANGLE Testbed Approach.
Díaz-Zayas, Almudena; Panizo-Jaime, Laura; Baños, Janie; Cardenas, Carlos; Dieudonne, Michael (Willey - Hindawi, 2018-12-18)
This paper presents the TRIANGLE testbed approach to score the Quality of Experience (QoE) of mobile applications, based on measurements extracted from tests performed on an end-to-end network testbed. The TRIANGLE project ... -
Randomness and control in design processes: an empirical study with architecture students.
Belmonte-Martínez, María Victoria; Millán-Valldeperas, Eva; Ruiz-Montiel, Manuela; Badillo, Reyes; Boned-Purkiss, Francisco Javier; Mandow-Andaluz, Lorenzo; Pérez-de-la-Cruz-Molina, José Luis[et al.] (2014-02-12)
The aim of this study is to explore designers' preferences between randomness and control in the generation of architectural forms. To this end, a generative computer tool was implemented that allows both random and ... -
Realistic deployment of hybrid wireless sensor networks based on ZigBee and LoRa for search and rescue applications
Bravo-Arrabal, Juan; Zambrana-López, Pablo; Fernández-Lozano, Juan Jesús; Gómez-Ruiz, José Antonio; Serón-Barba, Javier; García-Cerezo, Alfonso José[et al.] (IEEE Access, 2022)
Search and Rescue operations in emergency response to natural or human catastrophes have the main objective of locating and rescuing potential victims as fast as possible, thus quick response and accurate actions are ... -
Recognition and normalization of multilingual symptom entities using in-domain-adapted BERT models and classification layers
Gallego Donoso, Fernando; Veredas-Navarro, Francisco Javier (2024-08-28)
Due to the scarcity of available annotations in the biomedical domain, clinical natural language processing poses a substantial challenge, espe- cially when applied to low-resource languages. This paper presents our ...