Listar Lenguajes y Ciencias de la Computación - (LCC) por título
Mostrando ítems 246-265 de 675
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Encoding generative adversarial networks for defense against image classification attacks
(2022)Image classification has undergone a revolution in recent years due to the high performance of new deep learning models. However, severe security issues may impact the performance of these systems. In particular, adversarial ... -
Energy efficient assignment and deployment of tasks in structurally variable infrastructures
(2019-10-04)The importance of cyber-physical systems is growing very fast, being part of the Internet of Things vision. These devices generate data that could collapse the network and can not be assumed by the cloud. New technologies ... -
Energy-aware function and resource management in next-gen networks with variability models.
(UMA Editorial, 2024)En respuesta al creciente necesidad de implantar soluciones sostenibles, se están promoviendo soluciones de red más eficientes, como las redes móviles Beyond 5G (B5G) y la tecnología 5G/B5G. Estas tecnologías aumentan la ... -
Energy-efficient Deployment of IoT Applications in Edge-based Infrastructures: A Software Product Line Approach
(2021-09)In order to lower latency and reduce energy consumption, Edge Computing proposes offloading some computation intensive tasks usually performed in the Cloud onto nearby devices in the frontier/Edge of the access networks. ... -
Energy-efficient reprogramming in wsn using constructive neural networks.
(International Journal of Innovative Computing, Information and Control, 2012-11)In this paper, we propose the use of neural based technologies to carry out the dynamic reprogramming of wireless sensor networks as an alternative to traditional methodology. An analysis an comparison of the energy cost ... -
Enhanced Perspective Generation by Consensus of NeX neural models
(2022-07)Neural rendering is a relatively new field of research that aims to produce high quality perspectives of a 3D scene from a reduced set of sample images. This is done with the help of deep artificial neural networks that ... -
Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment
(2021)Skin cancer is one of the most prevalent diseases among people. Physicians have a challenge every time they have to determine whether a diseased skin is benign or malign. There exist clinical diagnosis methods (such as ... -
Enhancing Parallel Cooperative Trajectory Based Metaheuristics with Path Relinking
(2014-07-08)This paper proposes a novel algorithm combining path relinking with a set of cooperating trajectory based parallel algorithms to yield a new metaheuristic of enhanced search features. Algorithms based on the exploration ... -
Enhancing partition crossover with articulation points analysis
(2018-07-25)Partition Crossover is a recombination operator for pseudo-Boolean optimization with the ability to explore an exponential number of solutions in linear or square time. It decomposes the objective function as a sum of ... -
Enhancing security and dependability of industrial networks with opinion dynamics
(2019-10-04)Opinion Dynamics poses a novel technique to accurately locate the patterns of an advanced attack against an industrial infrastructure, compared to traditional intrusion detection systems. This distributed solution provides ... -
Enhancing semantic consistency in anti-fraud rule-based expert systems
(2018-10-29)En este estudio, se propone un servicio guiado por ontología para la detección y clasificación de problemas de incoherencia semántica en sistemas expertos con bases de reglas de decisión. Se centra en el caso crítico de ... -
Enriquecimiento automático de ontologías biomédicas mediante el uso de mappings
(2018-11-15)Dione es una representación en OWL del ICD-10-CM, consistente lógicamente, cuyos axiomas definen las inclusiones y exclusiones del ICD-10-CM mediante una metodología basada en los mappings ICD-10-CM/SNOMED-CT, proporcionados ... -
Ensemble ellipse fitting by spatial median consensus
(2021)Ellipses are among the most frequently used geometric models in visual pattern recognition and digital image analysis. This work aims to combine the outputs of an ensemble of ellipse fitting methods, so that the deleterious ... -
Ensemble methods for meningitis aetiology diagnosis
(Wiley, 2022-03-18)In this work, we explore data-driven techniques for the fast and early diagnosis concerning the etiological origin of meningitis, more specifically with regard to differentiating between viral and bacterial meningitis. We ... -
Ensemble-based genetic algorithm explainer with automized image segmentation: A case study on melanoma detection dataset
(Elsevier, 2023)Explainable Artificial Intelligence (XAI) makes AI understandable to the human user particularly when the model is complex and opaque. Local Interpretable Model-agnostic Explanations (LIME) has an image explainer package ... -
Entorno extensible para la monitorización y detección de síntomas de depresión
(2018-09-24)La depresión es una enfermedad silenciosa que está aumentando de forma alarmante debido al ritmo de vida de la sociedad. Los propios síntomas de la depresión hacen que los pacientes se enfrenten a barreras psicológicas que ... -
'Ephemerality’ in game development: opportunitiees and challenges
(2016-09-26)Ephemeral Computation (Eph-C) is a newly created computation paradigm, the purpose of which is to take advantage of the ephemeral nature (limited lifetime) of computational resources. First we speak of this new paradigm ... -
Eryna: una herramienta de apoyo a la revolución de los videojuegos
(2014-06-19)La industria del videojuego desde su inicio se ha caracterizado por un dinamismo constante, cada d a son más los desarrolladores que se suman a la competencia y por otro lado, los usuarios se vuelven más expertos y ... -
Especificación de una Ontologı́a para el Gobierno Electrónico en el Contexto de la Administración Pública Latinoamericana.
(UMA Editorial, 2024)En esta tesis, se propone una Especificación de una Ontología para el Gobierno Electrónico en el Contexto de la Administración Pública Latinoamericana, con el objetivo de evolucionar el modelo actual de la estructura ... -
Estabilidad en sistemas neuronales realimentados.Aplicación al control
(Universidad de Málaga, Servicio de Publicaciones, 2004)Esta tesis presenta un estudio de las redes neuronales de Hopfield, en cuanto a su capacidad para resolver problemas de optimización. El análisis teórico de las características de estos sistemas se abordan con rigor ...