Listar LCC - Contribuciones a congresos científicos por título
Mostrando ítems 195-214 de 338
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Metaheurísticas híbridas para el problema del apagado de celdas en redes 5G
(2018-10-30)La densificación masiva de estaciones base (BS) es una de las tecnologías facilitadoras bien reconocidas por la literatura para el desarrollo de la quinta generación de redes de telecomunicaciones (5G). Su implementación, ... -
Metaheurísticas para Smart Mobility: Reducción de Emisiones y Consumo de Carburantes en el Tráfico Urbano
(2013-07-17)Hoy en día, la mejora del tráfico vehicular supone una labor ineludible en nuestras ciudades a la hora de mitigar problemas como la excesiva emisión de gases contaminantes y el consumo no sostenible de carburantes. El ... -
Migrants Selection and Replacement in Distributed Evolutionary Algorithms for Dynamic Optimization
(Springer, 2013)Many distributed systems (task scheduling, moving priorities, changing mobile environments, ...) can be linked as Dynamic Optimization Problems (DOPs), since they require to pursue an optimal value that changes over time. ... -
Minería de datos educativos para la predicción personalizada del rendimiento académico
(2018-03-22)La Minería de Datos Educativos (Educational Data Mining - EDM) está adquiriendo gran importancia como un nuevo campo de investigación interdisciplinario relacionado con algunas otras áreas. Está directamente relacionado ... -
Mobile just-in-time training application for emergency healthcare
(2013-12-04)While the applications of just-in-time training are more and more spread, the ubiquitous mobile technology has not found practical uses of this training strategy. As an original example of services for healthcare, we ... -
Model Driven Evolution of an Agent-Based Home Energy Management System
(2018-10-17)Advanced smart home appliances and new models of energy tariffs imposed by energy providers pose new challenges in the automation of home energy management. Users need some assistant tool that helps them to make complex ... -
Model-Based Adaptation of Software Communicating via FIFO Buffers
(2015-04-10)Software Adaptation is a non-intrusive solution for composing black-box components or services (peers) whose individual functionality is as required for the new system, but that present interface mismatch, which leads to ... -
Modelando la Variabilidad de Características Complejas en Líneas de Productos Software
(2019-09-10)A pesar de la gran cantidad de trabajos y de herramientas existentes en el ámbito de las Líneas de Productos Software, muchos dominios de aplicación actuales como la ingeniería web no pueden verse beneficiados del uso ... -
Models for the Optimization and Evaluation of Photovoltaic Self-Consumption Facilities
(2019-11-13)The results obtained for the modeling and optimization of photovoltaic self-consumption facilities are presented. The study has been carried out for three Spanish cities with different climatic conditions. The self-consumption ... -
Modular DSLs for flexible analysis: An e-Motions reimplementation of Palladio
(2014-08-01)We address some of the limitations for extending and validating MDE-based implementations of NFP analysis tools by presenting a modular, model-based partial reimplementation of one well-known analysis framework, namely the ... -
Monumental entrances at iberian Neolithic and Chalcolithic ditches enclosures. Entrance 1 at Perdigoes (Portugal) as case study
(2015-06-26)Ditched enclosures have been found in many European regions during the Neolithic and Copper Age. This widespread, almost pan-European monumental tradition has also been documented in the Iberian Peninsula in the last 25 ... -
Motion Detection by Microcontroller for Panning Cameras
(2017-07-24)Motion detection is the first essential process in the extraction of information regarding moving objects. The approaches based on background difference are the most used with fixed cameras to perform motion detection, ... -
Moving object detection in noisy video sequences using deep convolutional disentangled representations.
(2022)Noise robustness is crucial when approaching a moving de- tection problem since image noise is easily mistaken for movement. In order to deal with the noise, deep denoising autoencoders are commonly proposed to be applied ... -
Multi-objective bandit algorithms with Chebyshev scalarization.
(2023)In this paper we analyze several alternatives for Chebyshev scalarization in multi-objective bandit problems. The alternatives are evaluated on a reference bi-objective benchmark problem of Pareto frontier approximation. ... -
Multi-objective Optimal Test Suite Computation for Software Product Line Pairwise Testing
(2014-10-06)Software Product Lines (SPLs) are families of related software products, which usually provide a large number of feature combinations, a fact that poses a unique set of challenges for software testing. Recently, many SPL ... -
Mutantes como apoyo para la valoración de pruebas
En este trabajo proponemos el uso de la técnica de mutation testing, o pruebas basadas en mutación, en asignaturas de pruebas de software para ayudar en la labor de evaluación de las mismas, a la vez que su propio uso ayuda ... -
Named Entity Recognition for De-identifying Real-World Health Records in Spanish.
(Springer Nature, 2023)A growing and renewed interest has emerged in Electronic Health Records (EHRs) as a source of information for decision-making in clinical practice. In this context, the automatic de-identification of EHRs constitutes an ... -
Neural Controller for PTZ cameras based on nonpanoramic foreground detection
(2017-05-29)Abstract—In this paper a controller for PTZ cameras based on an unsupervised neural network model is presented. It takes advantage of the foreground mask generated by a nonparametric foreground detection subsystem. Thus, ... -
New Security Definitions, Constructions and Applications of Proxy Re-Encryption
(2017-09-25)This talk is devoted to proxy re-encryption (PRE), a cryptographic primitive that constitutes a practical solution to the problem of secure data sharing, from the perspective of both functionality and efficiency. Proxy ... -
A new self-organizing neural gas model based on Bregman divergences
(2018-07-20)In this paper, a new self-organizing neural gas model that we call Growing Hierarchical Bregman Neural Gas (GHBNG) has been proposed. Our proposal is based on the Growing Hierarchical Neural Gas (GHNG) in which Bregman ...