Listar Lenguajes y Ciencias de la Computación - (LCC) por título
Mostrando ítems 233-252 de 675
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Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization
(2016-04-06)Local search algorithms and iterated local search algorithms are a basic technique. Local search can be a stand-alone search method, but it can also be hybridized with evolutionary algorithms. Recently, it has been shown ... -
Efficient identification of improving moves in a ball for Pseudo-Boolean problems
(2014-06-27)Hill climbing algorithms are at the core of many approaches to solve optimization problems. Such algorithms usually require the complete enumeration of a neighborhood of the current solution. In the case of problems defined ... -
Elastic Computing - a novel paradigm for distributed systems
(2016-06-24)This talk, which is based on our newest findings and experiences from research and industrial projects, addresses one of the most relevant challenges for a decade to come: How to integrate the Internet of Things with ... -
Elementary landscape decomposition of the 0-1 unconstrained quadratic optimization
(2014-10-01)Landscapes’ theory provides a formal framework in which combinatorial optimization problems can be theoretically characterized as a sum of an especial kind of landscape called elementary landscape. The elementary landscape ... -
Elementary landscape decomposition of the frequency assignment problem
(2014-09-30)The Frequency Assignment Problem (FAP) is an important problem that arises in the design of radio networks, when a channel has to be assigned to each transceiver of the network. This problem is a generalization of the graph ... -
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-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 ...