Listar LCC - Contribuciones a congresos científicos por título
Mostrando ítems 232-251 de 338
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Optimización en videojuegos: retos para la comunidad científica
(2015-02-09)Este artículo analiza algunos de los desafíos más interesantes a los cuales los miembros de la comunidad MAEB pueden enfrentarse en el área de la aplicación de técnicas de Inteligencia Artificial/Computacional al diseño y ... -
Optimización multi-objetivo basada en preferencias para la planificación de proyectos software
(2015-02-10)En este trabajo se presenta una herramienta software, denominada Interactive SPS o iSPS, que permite resolver, de forma interactiva, instancias del problema de Planificación de Proyectos Software (SPS) haciendo uso de ... -
Optimización robusta de carteras de inversión usando muestreo estocástico y metaheurísticas
(2016-09-20)La optimización de carteras de inversión presenta un gran número de dificultades, siendo una de las más importantes la gestión de la incertidumbre que surge en diferentes aspectos del proceso. Este trabajo propone matizar ... -
Optimization of Convolutional Neural Network ensemble classifiers by Genetic Algorithms
(Springer, 2019)Breast cancer exhibits a high mortality rate and it is the most invasive cancer in women. An analysis from histopathological images could predict this disease. In this way, computational image processing might support this ... -
Optimization of massive connections in 5G networks for IoT
(2019-10-31)The expected traffic demands for the coming years requires a major technology development. Indeed, from 2017 to 2022, the global annual traffic growth is estimated to reach 220%. This annual growth leads in turn to an ... -
Optimizing One Million Variable NK Landscapes by Hybridizing Deterministic Recombination and Local Search
(2017-07-28)In gray-box optimization, the search algorithms have access to the variable interaction graph (VIG) of the optimization problem. For Mk Landscapes (and NK Landscapes) we can use the VIG to identify an improving solution ... -
Optimizing Telecommunications in Vehicular Networks with a Parallel Multiobjective PSO
(International Society on Multiple Criteria Decision Making, 2013-06-17) -
Panoramic Background Modeling for PTZ Cameras with Competitive Learning Neural Networks
(2017-05-29)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 ... -
El papel de los ciudadanos en las ciudades inteligentes: un escenario de movilidad urbana
(2017-05-04)Gran parte de los esfuerzos dedicados al desarrollo de las llamadas ciudades inteligentes se centran en el campo del Internet of Things (IoT). Las instituciones ofrecen habitualmente la información recolectada mediante IoT ... -
Parallel In-place Model Transformations with LinTra
As software systems have grown large and complex in the last few years, the problems with which Model-Driven Development has to cope have increased at the same pace. In particular, the need to improve the performance and ... -
Parallel proccessing applied to object detection with a Jetson TX2 embedded system.
(2023)Video streams from panoramic cameras represent a powerful tool for automated surveillance systems, but naïve implementations typically require very intensive computational loads for applying deep learning models for automated ... -
Peer assessments in Engineering: A pilot project
(2021)The evaluation methods employed in a course are the most important point for the students, above any other learning aspect. For teachers, this task is arduous when the number of students is high. Traditional evaluation ... -
People as a Service: a mobile-centric model for providing collective sociological profiles
(2014-10-06)Mobile devices have become increasingly popular in the everyday life of many individuals. By taking an insight into the most common uses of mobile devices we clearly appreciate that accessing internetbased services has ... -
Phase Shifter for Millimeter-Wave Frequency Range Based on Glide Symmetric Structures
(2019-03-13)The use of glide symmetry in radiofrequency devices to introduce dispersive effects has been recently proposed and demonstrated. One of these effects is to control the propagation constant of the structure. Here, we propose ... -
Photovoltaic energy prediction using machine learning techniques.
(2023)Solar energy is becoming one of the most promising power sources in residential, commercial, and industrial applications. Solar photovoltaic (PV) facilities use PV cells that convert solar irradiation into electric power. ... -
Pneumonia Detection in Chest X-ray Images using Convolutional Neural Networks
(2022)Pneumonia is an infectious and deadly disease which strikes over millions of people. Usually, chest X-rays are used by radiotherapist to diagnose pneumonia. In this paper, a Computer- Aided Diagnosis (CAD) system for ... -
Predicting Car Park Occupancy Rates in Smart Cities
(Springer, 2017)In this article we address the study of parking occupancy data published by the Birmingham city council with the aim of testing several prediction strategies (polynomial fitting, Fourier series, k-means clustering, and ... -
Prediction of Protein Oxidation Sites
(Springer International Publishing AG, 2017-05-18)Although reactive oxygen species are best known as damag- ing agents linked to aerobic metabolism, it is now clear that they can also function as messengers in cellular signalling processes. Methionine, one of the two ... -
Preprocesado de flujos de datos para aprendizaje automático mediante reglas CEP
(2019-09-20)El procesamiento de flujos de información constituye un área de gran relevancia dentro de la gestión de datos, pues sus métodos deben ser ágiles y eficientes para soportar el volumen y la velocidad con la que los datos se ... -
Preventing Advanced Persistent Threats in Complex Control Networks
(2017-10-03)An Advanced Persistent Threat (APT) is an emerging attack against Industrial Control and Automation Systems, that is executed over a long period of time and is difficult to detect. In this context, graph theory can be ...