Listar Lenguajes y Ciencias de la Computación - (LCC) por título
Mostrando ítems 233-252 de 662
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Elementary Landscape Decomposition of the Hamiltonian Path Optimization Problem
(2014-04-04)There exist local search landscapes where the evaluation function is an eigenfunction of the graph Laplacian that corresponds to the neighborhood structure of the search space. Problems that dis- play this structure are ... -
Elementary Landscape Decomposition of the Test Suite Minimization Problem
(2015-09-07)Landscape theory provides a formal framework in which combinatorial optimization problems can be theoretically characterized as a sum of a special kind of landscape called elementary landscape. The decomposition of the ... -
Elimination of constraints for parallel analysis of feature models.
(2023)Cross-tree constraints give feature models maximal expressive power since any interdependency between features can be captured through arbitrary propositional logic formulas. However, the existence of these constraints ... -
Embryomorphic Engineering: Emergent innovation through evolutionary development
(2014-01-07)Embryomorphic Engineering, a particular instance of Morpho-genetic Engineering, takes its inspiration directly from biological development to create new hardware, software or network architectures by decentralized ... -
Emergent diversity in an open-ended evolving virtual community
(MIT Press, 2012)Understanding the dynamics of biodiversity has become an important line of research in theoretical ecology and, in particular, conservation biology. However, studying the evolution of ecological communities under ... -
Empirical analysis of the tool support for software product lines
(Springer, 2022-06-08)For the last ten years, software product line (SPL) tool developers have been facing the implementation of different variability requirements and the support of SPL engineering activities demanded by emergent domains. ... -
Employing Classifying Terms for Testing Model Transformations
(2015-07-29)This contribution proposes a new technique for developing test cases for UML and OCL models. The technique is based on an approach that automatically constructs object models for class models enriched by OCL constraints. ... -
Enabling Low Cost Smart Road Traffic Sensing
(Universitat Pompeu Fabra, 2017)Accurate traffic monitoring is a key aspect to develop Smart Mobility services. A road traffic monitoring system based on a network of sensors capturing together information from wireless interfaces of the devices inside ... -
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-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 ...