LCC - Artículos
Envíos recientes
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HybridCISave: A Combined Build and Test Selection Approach in Continuous Integration.
(Association for Computing Machinery (ACM), 2023-05-26)Continuous integration (CI) is a popular practice in modern software engineering. Unfortunately, it is also a high-cost practice — Google and Mozilla estimate their CI systems in millions of dollars. To reduce the computational ... -
Sequencing the Southern Iberian Late Neolithic hypogeum cemetery of La Beleña through radiocarbon dating and Bayesian modeling.
(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
(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 ... -
CADICA: A new dataset for coronary artery disease detectionby using invasive coronary angiograph
(Wiley, 2024)Coronary artery disease (CAD) remains the leading cause of death globally and invasive coronary angiography (ICA) is considered the gold standard of anatomical imaging evaluation when CAD is suspected. However, risk ... -
Which Builds Are Really Safe to Skip? Maximizing Failure Observation for Build Selection in Continuous Integration.
(Elsevier, 2022-03-08)Continuous integration (CI) is a widely used practice in modern software engineering. Unfortunately, it is also an expensive practice. Google and Mozilla estimate their expenses for their CI systems in millions of dollars. ... -
Immune system for the internet of things using edge technologies
(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)
(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
(Elsevier (Swarm and Evolutionary Computation), 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 ... -
FM fact label
(Elsevier, 2024)FM Fact Label is a tool for visualizing the characterizations of feature models based on their metadata, structural measures, and analytical metrics. Although there are various metrics available to characterize feature ... -
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
(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
(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
(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 ...