Listar Lenguajes y Ciencias de la Computación - (LCC) por título
Mostrando ítems 174-193 de 675
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Configuración Eco-Eficiente de Atributos de Calidad Funcionales
(2017)Los atributos de calidad funcionales (FQAs) son aquellos que para satisfacerlos se necesita incorporar funcionalidad adicional a la arquitectura de las aplicación (e.g., seguridad). La nueva funcionalidad incorporada ... -
Construct, Merge, Solve and Adapt for Taxi Sharing
(2019-07-22)Taxis are a quick and reliable mean of transportation, especially in those cities where the public transportation system is very inefficient. However, taxis rarely travel with full capacity, and its impact on traffic ... -
Construyendo Perfiles Virtuales Mediante el Procesamiento de Eventos Complejos
(2016-07-01)A medida que se incrementa el nímero de dispositivos inteligentes, el esfuerzo requerido para adaptarlos a las necesidades de cada usuario también crece. Asimismo, el proceso de adaptación de un dispositivo al contexto de ... -
Content Based Image Retrieval by Convolutional Neural Networks
(2019-06-07)In this paper, we present a Convolutional Neural Network (CNN) for feature extraction in Content based Image Retrieval (CBIR). The proposed CNN aims at reducing the semantic gap between low level and high-level features. ... -
Content-based image retrieval by ensembles of deep learning object classifiers.
(2020-05-20)Ensemble learning has demonstrated its efficiency in many computer vision tasks. In this paper, we address this paradigm within content based image retrieval (CBIR). We propose to build an ensemble of convolutional neural ... -
Context-aware Assessment Using QR-codes
(SAGE, 2013)In this paper we present the implementation of a general mechanism to deliver tests based on mobile devices and matrix codes. The system is an extension of Siette, and has not been specifically developed for any subject ... -
Coordinación de casos prácticos en asignaturas del área de conocimiento “Gestión de la Información” según modelo curricular de informática de la ACM/IEEE 2013
(2017-07-04)Este artículo presenta el estado de desarrollo y resultados preliminares del proyecto de innovación docente de la Universidad de Málaga (PIE15-183): Coor-dinación de casos prácticos en asignaturas del área de conocimiento ... -
Coordinación de Dispositivos IoT mediante Web Semántica y Ontologías en Situational-Context
(2019-06-19)El ritmo al que crece Internet de las Cosas (IoT) es imparable. Existen multitud de fabricantes que desarrollan dispositivos IoT, siguiendo sus propias especificaciones y sin atender a un estándar que todavía no existe ... -
Coordinating heterogeneous IoT devices by means of the centralized vision of the SDN controller
(2017-07-13)The IoT (Internet of Things) has become a reality during recent years. The desire of having everything connected to the Internet results in clearly identified benefits that will impact on socio economic development. However, ... -
Cryptographic approaches for confidential computations in blockchain.
(2023)Blockchain technologies have been widely re- searched in the last decade, mainly because of the revolution they propose for different use cases. Moving away from centralized solutions that abuse their capabilities, blockchain ... -
¿Cuál Lenguaje de Programación escoger?
(2018-06-05)¿Cuál Lenguaje de Programación escoger? Dr. Miguel Katrib, Universidad de La Habana ¿Cuál Lenguaje de Programación es mejor? ¿Cuál debo escoger? Estas son preguntas frecuentes, pero desafortunadamente incompletas y mal ... -
The Current Status of Social Risks on Educational Systems. An Analysis Through Social Media
(L. Gómez Chova, A. López Martínez, I. Candel Torres. IATED Academy, 2018-11)Social Risk in education such as bullying, are usually invisible to teachers and parents, at all educational levels. However, these risks remain a reality everywhere in the world, turning into a problem that is rapidly ... -
Cyber-Human Partnerships – Towards a resilient ecosystem in Smart Cities
(2017-12-11)In this talk I will explore one of the most relevant challenges for a decade to come: How to integrate the Internet of Things with software, people, and processes, considering modern Cloud Computing and the Internet of ... -
Data driven tools to assess the location of photovoltaic facilities in urban areas
(Elsevier, 2022-10-01)Urban sustainability is a significant factor in combating climate change. Replacing polluting by renewable energies is fundamental to reduce the emission of greenhouse gases. Photovoltaic (PV) facilities harnessing solar ... -
Data Mining Models for Short Term Solar Radiation Prediction and Forecast-Based Assessment of Photovoltaic Facilities
(UMA Editorial, 2016)Solar radiation prediction is useful to integrate photovoltaic power plants into the electrical system. Integrating energy generation in urban environments is interesting because that is where the most energy is consumed ... -
Dataciones absolutas de yacimientos protohistóricos de la bahía de Málaga en el contexto de la primera presencia fenicia en el sur de la Península Ibérica
(XCIEFP 2022. X Congreso Internacional de Estudios Fenicios y Púnicos, 2022)En el presente artículo pretendemos aportar un nuevo conjunto de dataciones para la primera presencia fenicia en la bahía de Málaga. Así, se aportarán dataciones complementarias a las existentes en yacimientos fenicios y ... -
Dealing with inheritance in OO evolutionary testing.
(2009-07)Most of the software developed in the world follows the object-oriented (OO) paradigm. However, the existing work on evolutionary testing is mainly targeted to procedural languages. All this work can be used with small ... -
Deep learning for coronary artery disease severity classification
(2023)Medical imaging evaluations are one of the fields where computed-aid diagnosis could improve the efficiency of diagnosis supporting physician decisions. Cardiovascular Artery Disease (CAD) is diagnosed using the gold ... -
Deep Learning networks with p-norm loss layers for spatial resolution enhancement of 3D medical images
(2019-06-19)Nowadays, obtaining high-quality magnetic resonance (MR) images is a complex problem due to several acquisition factors, but is crucial in order to perform good diagnostics. The enhancement of the resolution is a typical ... -
Deep Learning Neural Networks to Detect Anomalies in Video Sequences.
(UMA Editorial, 2024)El principal problema abordado en esta tesis doctoral es la detección de anomalías de primer plano en secuencias de video genéricas mediante el uso de técnicas de Aprendizaje Profundo especialmente enfocadas a ser robustas ...