LCC - Artículos: Envíos recientes
Mostrando ítems 21-40 de 212
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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. ... -
Methodology for improving classification accuracy using ontologies: application in the recognition of activities of daily living
Salguero-Hidalgo, Alberto Gabriel; Medina-Quero, Javier; De la Torre-Moreno, Pablo; Espinilla-Estévez, Macarena (Springer-Verlag GmbH Germany, 2019-06-01)
Feature construction and selection are two key factors in the field of machine learning (ML). Usually, these are very time-consuming and complex tasks because the features have to be manually crafted. The features are ... -
Sequencing the Southern Iberian Late Neolithic hypogeum cemetery of La Beleña through radiocarbon dating and Bayesian modeling.
Santana-Cabrera, Jonathan; Caro-Herrero, José Luis; Camalich-Massieu, Maria Dolores; Aranda-Jimenez, Gonzalo; Martin-Socas, Dimas (Cambridge University Press, 2024)
This study aims to determine the chronological sequence of the collective burials in the hypogea of the prehistoric cemetery ofLa Bele˜na (Cabra, C´ordoba) through Bayesian analyses of 14C dates obtained from human remains. ... -
Toward a Framework for Cost-Effective and Publicly Verifiable Confidential Computations in Blockchain
Morales, Daniel; Agudo-Ruiz, Isaac; López-Muñoz, Francisco Javier (IEEE Xplore, 2024)
Blockchain technologies have introduced a compelling paradigm for a new understanding of security through decentralized networks and consensus mechanisms. However, they need all data to be public, which may be unacceptable ... -
Immune system for the internet of things using edge technologies
Román-Castro, Rodrigo; Ríos-del-Pozo, Rubén; Onieva-González, José Antonio; López-Muñoz, Francisco Javier (2018-08-29)
The Internet of Things (IoT) and Edge Computing are starting to go hand in hand. By providing cloud services close to end-users, edge paradigms enhance the functionality of IoT deployments, and facilitate the creation ... -
Investigaciones en el sector l1 del complexo arqueológico dos Perdigões (Reguengos de Monsaraz, Portugal): cronología y temporalidad de dos recintos de fosos calcolíticos (f1 y f2)
Márquez-Romero, José Enrique; Caro-Herrero, José Luis; Suárez Padilla, José (Ediciones Universidad de Salamanca, 2022)
Resumen: La Universidad de Málaga –uma– ha llevado a cabo actividades arqueológicas en el Complexo Arqueológico dos Perdigões, Reguengos de Monsaraz, en el Alentejo portugués desde 2008 a 2016. Se han realizado prospecciones ... -
MoMIT: Porting a JavaScript Interpreter on a Quarter Coin
(IEEE (Institute of Electrical and Electronics Engineers), 2020)The Internet of Things (IoT) is a network of physical, connected devices providing services through private networks and the Internet. The devices connect through the Internet to Web servers and other devices. One of the ... -
Adaptive Global WASF-GA to Handle. Many-objective Optimization Problems
Luque-Gallego, Mariano; González-Gallardo, Sandra; Saborido Infantes, Rubén; Ruiz-Mora, Ana Belén (Elsevier, 2020)
In this paper, a new version of the aggregation-based evolutionary algorithm Global WASF-GA (GWASF-GA) for many-objective optimization is proposed, called Adaptive Global WASF-GA (A-GWASF-GA). The fitness function of ... -
An app performance optimization advisor for mobile device app marketplaces
(Elsevier, 2018)On mobile phones, users and developers use apps official marketplaces serving as repositories of apps. The Google Play Store and Apple Store are the official marketplaces of Android and Apple products which offer more than ... -
Global WASF-GA: An Evolutionary Algorithm in Multiobjective Optimization to Approximate the Whole Pareto Optimal Front
Saborido Infantes, Rubén; Ruiz-Mora, Ana Belén; Luque-Gallego, Mariano (MIT Press Direct, 2016)
In this article, we propose a new evolutionary algorithm for multiobjective optimization called Global WASF-GA (global weighting achievement scalarizing function genetic algorithm), which falls within the aggregation-based ... -
EARMO: An Energy-Aware Refactoring Approach for Mobile Apps
(IEEE, 2017)The energy consumption of mobile apps is a trending topic and researchers are actively investigating the role of coding practices on energy consumption. Recent studies suggest that design choices can conflict with energy ... -
Getting the most from map data structures in Android
(Springer, 2018)A map is a data structure that is commonly used to store data as key–value pairs and retrieve data as keys, values, or key–value pairs. Although Java offers different map implementation classes, Android SDK offers other ... -
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 ... -
On the use of the Lp distance in reference point-based approaches for multiobjective optimization
(Springer, 2015)Reference point-based methods are very useful techniques for solving multiobjective optimization problems. In these methods, the most commonly used achievement scalarizing functions are based on the Tchebychev distance ... -
A preference-based evolutionary algorithm for multiobjective optimization: the weighting achievement scalarizing function genetic algorithm
Ruiz-Mora, Ana Belén; Saborido Infantes, Rubén; Luque-Gallego, Mariano (Springer, 2014)
When solving multiobjective optimization problems, preference-based evolutionary multiobjective optimization (EMO) algorithms introduce preference information into an evolutionary algorithm in order to focus the search for ... -
Evolutionary multi-objective optimization algorithms for fuzzy portfolio selection
(2015)In this paper, we consider a recently proposed model for portfolio selection, called Mean-Downside Risk-Skewness (MDRS) model. This modelling approach takes into account both the multidimensional nature of the portfolio ... -
A combined interactive procedure using preference-based evolutionary multiobjective optimization. Application to the efficiency improvement of the auxiliary services of power plants
Ruiz-Mora, Ana Belén; Luque-Gallego, Mariano; Ruiz, Francisco; Saborido Infantes, Rubén (Elsevier, 2015-06)
While the auxiliary services required for the operation of power plants are not the main components of the plant, their energy consumption is often significant, and it can be reduced by implementing a series of improvement ... -
A trust model for popular smart home devices
Ferraris, Davide; Bastos, Daniel; Fernández-Gago, María del Carmen; El-Moussa, Fadi (Springer, 2021-08)
Nowadays, smart home devices like Amazon Echo and Google Home have reached mainstream popularity. Being in the homes of users, these devices are intrinsically intrusive, being able to access details such as users’ name, ... -
TrUStAPIS: a trust requirements elicitation method for IoT
Ferraris, Davide; Fernández-Gago, María del Carmen (Springer Link, 2020-02-01)
The internet of things (IoT) is an environment of interconnected entities, which are identifiable, usable and controllable via the Internet. Trust is useful for a system such as the IoT as the entities involved would like ...