Listar Lenguajes y Ciencias de la Computación - (LCC) por título
Mostrando ítems 501-520 de 568
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Solving the quadratic assignment problem by neural networks
(2013-10-30)The Quadratic Assignment Problem (QAP) was introduced by Koopmans and Beckmann in 1957 as a mathematical model for the location of a set of indivisible economical activities. This problem consists of allocating a set of ... -
Some operations preserving primitivity of words
Dassow, Jürgen; Martín Reyes, Gema María; Vico-Vela, Francisco Jose
(Elsevier, 2009)
We investigate some operations where essentially, from a given word w, the word ww′ is constructed where w′ is a modified copy of w or a modified mirror image of w. We study whether ww′ is a primitive word provided that w ... -
Sostenibilidiad empresarial a través de los intangibles: Una visión de las empresas energéticas y sector público
(2016-06-10)Los intengibles son un factor de valor de las empresas, para su sostenibilidad y permanencia en el tiempo. El sector energético es uno de los sectores más sensibles a este tipo de ítems, estando las empresas de dicho sector ... -
STAN: analysis of data traces using an event-driven interval temporal logic
Panizo-Jaime, Laura; Gallardo-Melgarejo, María del Mar (Springer Nature, 2022-11-30)
The increasing integration of systems into people’s daily routines, especially smartphones, requires ensuring correctness of their functionality and even some performance requirements. Sometimes, we can only observe the ... -
Standardized connectivity and communication for constrained devices
(2018-04-30)By 2020, an estimated 50 billion devices will be connected to the Internet. This revolution will transform the traditional human-centric internet to an “Internet of Things” (IoT), thereby enabling a whole new range of ... -
Statistical Model Checking of e-Motions Domain-Specific Modeling Languages
Durán, Francisco; Moreno-Delgado, Antonio; Álvarez-Palomo, José María (Springer, 2016)
Domain experts may use novel tools that allow them to de- sign and model their systems in a notation very close to the domain problem. However, the use of tools for the statistical analysis of stochas- tic systems requires ... -
Stenosis detection in coronary angiography images using deep learning models
Luque-Baena, Rafael Marcos; Romero Granados, Irene; Jiménez-Partinen, Ariadna; Palomo, Esteban José (2022)
The emergence of deep learning has caused its massive application to different fields in industry and research, among which is the clinical field, especially in those where the data is structured in the form of images ... -
StreetQR Project Device for Information Assistance in Streets and Places of Interest
Ramos-Jimenez, Gonzalo Pascual; Morales-Bueno, Rafael; Del-Campo-Ávila, José; Matesanz Cuadrado, Andrés (2019-09-24)
En este trabajo se expone un ejemplo de transferencia de conocimiento desde la universidad hacia la sociedad, dentro del campo de la Inteligencia Artificial, con vista a obtener un encadenamiento productivo universidad-empresa. ... -
Student engagement with resources as observable signifiers of success in practice based learning
Luckin, Rose; Cukurova, Mutlu; Millan-Valldeperas, Eva (International Society of the Learning Sciencies, 2018)
Practice-based learning activities with a focus on Science, Technology, Art, Math and Engineering (STEAM) are providing new opportunities for teaching these subjects. However, we lack widely accepted ways of assessing and ... -
Studying Solutions of the p-Median Problem for the Location of Public Bike Stations
Cintrano López, Christian; Stützle, Thomas; Alba-Torres, Enrique (2018-11-26)
The use of bicycles as a means of transport is becoming more and more popular today, especially in urban areas, to avoid the disadvantages of individual car traffic. In fact, city managers react to this trend and actively ... -
Super- resolution of 3D MRI corrupted by heavy noise with the median filter transform
Thurnhofer-Hemsi, Karl; López-Rubio, Ezequiel; Roé Vellvé, Núria; Deka, Lipika (2020-11-13)
The acquisition of 3D MRIs is adversely affected by many degrading factors including low spatial resolution and noise. Image enhancement techniques are commonplace, but there are few proposals that address the increase of ... -
Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks
Thurnhofer Hemsi, Karl; López-Rubio, Ezequiel; Roé Vellvé, Nuria; Domínguez-Merino, Enrique; Molina-Cabello, Miguel Angel (IEEE, 2018)
Enhancing resolution is a permanent goal in magnetic resonance (MR) imaging, in order to keep improving diagnostic capability and registration methods. Super-resolution (SR) techniques are applied at the postprocessing ... -
Teaching Model Views with UML and OCL
The specification of any non-trivial system is normally composed of a set of models. Each model describes a different view of the system, focuses on a particular set of concerns, and uses its own notation. For example, UML ... -
A temporal difference method for multi-objective reinforcement learning
This work describes MPQ-learning, an temporal-difference method that approximates the set of all non-dominated policies in multi-objective Markov decision problems, where rewards are vectors and each component stands for ... -
Teoría de Landscapes en Optimización Combinatoria: Resultados Recientes y Herramienta Software
Chicano, Francisco; Alba-Torres, Enrique (2014-10-07)
La teoría de landscapes es un marco que permite analizar funciones definidas sobre conjuntos de elementos conectados mediante un operador de vecindario. Esta teoría tiene aplicaciones en diversos dominios de conocimiento, ... -
Testing M2T/T2M Transformations
Wimmer, Manuel; Burgueño-Caballero, Lola (2013-10-09)
Testing model-to-model (M2M) transformations is becoming a prominent topic in the current Model-driven Engineering landscape. Current approaches for transformation testing, however, assume having explicit model representations ... -
The component model for elementary landscapes and partial neighborhoods
Whitley, L. Darrell; Sutton, Andrew M.; Ochoa, Gabriela; Chicano, Francisco (2014-09-29)
Local search algorithms exploit moves on an adjacency graph of the search space. An “elementary landscape” exists if the objective function f is an eigenfunction of the Laplacian of the graph induced by the neighborhood ... -
The Evolution of Controller-Free Molecular Motors from Spatial Constraints
Locomotion of robotic and virtual agents is a challenging task requiring the control of several degrees of freedom as well as the coordination of multiple subsystems. Traditionally, it is engineered by top-down design ... -
The evolution of diversity in the structure and function of artificial organisms
(Universidad de Málaga, Servicio de Publicaciones y Divulgación Científica, 2012)Life on Earth has been shaped by evolutionary processes into a marvelous diversity of form and function, at all levels from melecules to ecosystems. It can be expected that no single conceptual framework ca encompass all ... -
The orchestration of Machine Learning frameworks with datastreams and GPU acceleration in Kafka-ML: A deep-learning performance comparative
Machine Learning (ML) applications need large volumes of data to train their modelsso that they can make high-quality predictions. Given digital revolution enablers suchas the Internet of Things (IoT) and the Industry 4.0, ...