Listar LCC - Artículos por título
Mostrando ítems 31-50 de 161
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Automatic identification of characteristic points related to pathologies in electrocardiograms to design expert systems
(Springer-Verlag, 2019)Electrocardiograms (ECG) record the electrical activity of the heart through 12 main signals called shunts. Medical experts examine certain segments of these signals in where they believe the cardiovascular disease is ... -
Automating the search of molecular motor templates by evolutionary methods
(Elsevier, 2011)Biological molecular motors are nanoscale devices capable of transforming chemical energy into mechanical work, which are being researched in many scientific disciplines. From a computational point of view, the characteristics ... -
BH-ShaDe: a software tool that assists architecture students in the ill-structured task of housing design
(IEEE Transactions on Learning Technologies, 2016)In this paper, we present BH-ShaDe, a new software tool to assist architecture students learning the ill-structured domain/task of housing design. The software tool provides students with automatic or interactively generated ... -
Big Data Optimization: Framework Algorítmico para el análisis de Datos guiado por Semántica
(2018-11-05)En las últimas décadas el aumento de fuentes de información en diferentes campos de la sociedad desde la salud hasta las redes sociales, ha puesto de manifiesto la necesidad de nuevas técnicas para su análisis, lo que se ... -
BIGOWL4DQ: ontology-driven approach for Big Data quality meta-modelling, selection and reasoning
(Elsevier, 2023-11-27)Context: Data quality should be at the core of many Artificial Intelligence initiatives from the very first moment in which data is required for a successful analysis. Measurement and evaluation of the level of quality ... -
BIN-CT: Urban waste collection based on predicting the container fill level.
(2019-04-17)The fast demographic growth, together with the population concentration in cities and the increasing amount of daily waste, are factors that are pushing to the limit the ability of waste assimilation by Nature. Therefore, ... -
Binding data mining and expert knowledge for one-day-ahead prediction of hourly global solar radiation
(Elsevier Ltd, 2021-04-01)A new methodology to predict one-day-ahead hourly solar global radiation is proposed in this paper. This information is very useful to address many real problems; for instance, energy-market decision making is one of the ... -
Biomimetic Engineering
(International Society for Horticultural Science, 2008)Humankind is a privileged animal species for many reasons. A remarkable one is its ability to conceive and manufacture objects. Human industry is indeed leading the various winning strategies (along with language and ... -
Blockchain Technology for Smart Tourism Destinations
(MDPI, 2020-11-21)Este artículo conceptual discute el potencial de la tecnología blockchain en el área de destinos turísticos inteligentes. -
C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons.
(Elsevier, 2011-10-18)C-Mantec is a novel neural network constructive algorithm that combines competition between neurons with a stable modified perceptron learning rule. The neuron learning is governed by the thermal perceptron rule that ... -
Capping methods for the automatic configuration of optimization algorithms
(Elsevier, 2022-03)Automatic configuration techniques are widely and successfully used to find good parameter settings for optimization algorithms. Configuration is costly, because it is necessary to evaluate many configurations on different ... -
Classifying resilience approaches for protecting smart grids against cyber threats
(Springer, 2022-05-06)Smart grids (SG) draw the attention of cyber attackers due to their vulnerabilities, which are caused by the usage of heterogeneous communication technologies and their distributed nature. While preventing or detecting ... -
CMSA algorithm for solving the prioritized pairwise test data generation problem in software product lines.
(2020-11-10)In Software Product Lines, it may be difficult or even impossible to test all the products of the family because of the large number of valid feature combinations that may exist (Ferrer et al. in: Squillero, Sim (eds) ... -
Combining multiple granularity variability in a software product line approach for web engineering
(Elsevier, 2022-08)Context: Web engineering involves managing a high diversity of artifacts implemented in different languages and with different levels of granularity. Technological companies usually implement variable artifacts of Software ... -
Combining user preferences and expert opinions: a criteria synergy-based model for decision making on the Web
(Springer-Verlag, 2019)Customers strongly base their e-commerce decisions on the opinions of others by checking reviews and ratings provided by other users. These assessments are overall opinions about the product or service, and it is not ... -
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 ... -
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 ... -
Designing problem-specific operators for solving the Cell Switch-Off problem in ultra-dense 5G networks with hybrid MOEAs
(Elsevier, 2023)The massive deployment of base stations is one of the key pillars of the fifth generation (5G) of mobile communications. However, this network densification entails high energy consumption that must be addressed to enhance ... -
Detecting feature influences to quality attributes in large and partially measured spaces using smart sampling and dynamic learning
(Elsevier, 2023)Emergent application domains (e.g., Edge Computing/Cloud/B5G systems) are complex to be built manually. They are characterised by high variability and are modelled by large Variability Models (VMs), leading to large ... -
Detection of dangerously approaching vehicles over onboard cameras by speed estimation from apparent size
(Elsevier, 2023-11-17)Autonomous driving requires information such as the velocity of other vehicles to prevent potential hazards. This work proposes a real-time deep learning-based framework to estimate vehicle speeds from image captures through ...