Listar LCC - Contribuciones a congresos científicos por título
Mostrando ítems 239-258 de 339
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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 ... -
Primitive Operators for the Concurrent Execution of Model Transformations Based on LinTra
Performance and scalability of model transformations are becoming prominent topics in Model-Driven Engineering. In previous work, we introduced LinTra, a platform for executing out-place model transformations in parallel. ... -
Problem Understanding through Landscape Theory
(ACM, 2013)In order to understand the structure of a problem we need to measure some features of the problem. Some examples of measures suggested in the past are autocorrelation and fitness-distance correlation. Landscape theory, ... -
Problemática para la datación en recintos de fosos usando análisis bayesiano: Complejo Arqueológico de Perdigões (Portugal) y la puerta 1 como caso de estudio
(2016-11-15)Problemática para la datación en recintos de fosos usando análisis bayesiano: Complejo Arqueológico de Perdigões (Portugal) y la puerta 1 como caso de estudio José L. Caro (Universidad de Málaga – jlcaro@uma.es) Re ... -
Procesamiento de Eventos Complejos para la determinación de rutas en ciudades inteligentes
(2019-06-19)Una de las principales características de una ciudad inteligente es la publicación de datos abiertos que monitorizan diferentes aspectos de la misma, desde sistemas de movilidad a niveles de polen. Sin embargo, esta ... -
Product Line Architecture for Automatic Evolution of Multi-Tenant Applications
(IEEE, 2016)Cloud computing is becoming the predominant mechanism to seamlessly deploy applications with special requirements such as massive storage sharing or load balancing, usually provided as services by cloud platforms. A ... -
Programación de espacios de estados con Java en asignaturas de inteligencia artificial
(2015-09-04)La representación mediante espacios de estados es un elemento central en los cursos sobre inteligencia artificial simbólica. Las prácticas de programación resultan muy importantes para la asimilación de este concepto. En ... -
A programming framework for people as a service
(2019-11-22)The number of devices connected to the internet is constantly growing, which implies an increased complexity when interacting with so many heterogeneous devices. Automating this process is key to keep up with this growth. ...