Listar Lenguajes y Ciencias de la Computación - (LCC) por título
Mostrando ítems 330-349 de 662
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Imagination industry Seoul
(2018-07-27)The time for biology has come. The Decade of the Brain closed the twentieth century, and the new one started with the sequentiation of the entire human genome. Since then, the avalanche of information and knowledge has ... -
Impacto de la heterogeneidad espacial del tráfico de red en el problema del apagado de celdas en redes ultra-densas.
(2023)The ultra-dense deployment of small base stations is one of the enabling technologies for the next generation of mobile networks (5G and 6G), which leads to an increase in the energy consumption of the infrastructure. This ... -
Implementación de algoritmos meméticos con capacidad de auto-generación sobre CouchBD
(2015-02-09)Los algoritmos meméticos constituyen un paradigma de optimización basado en la explotación sistemática del conocimiento acerca del problema que se desea resolver y de la combinación de ideas tomadas de diferentes ... -
Improved detection of small objects in road network sequences using CNN and super resolution
(2021)The detection of small objects is one of the problems present in deep learning due to the context of the scene or the low number of pixels of the objects to be detected. According to these problems, current pre-trained ... -
Improving approximation of domain-focused, corpus-based, lexical semantic relatedness
(UMA Editorial, 2017-06-25)Semantic relatedness is a measure that quantifies the strength of a semantic link between two concepts. Often, it can be efficiently approximated with methods that operate on words, which represent these concepts. Approximating ... -
Improving Bi-Objective Shortest Path Search with Early Pruning.
(2023)Bi-objective search problems are a useful generalization of shortest path search. This paper reviews some recent contributions for the solution of this problem with emphasis on the efficiency of the dominance checks ... -
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning
(2021-07)Computer aided diagnosis for mammogram images have seen positive results through the usage of deep learning architectures. However, limited sample sizes for the target datasets might prevent the usage of a deep learning ... -
Infering Air Quality from Traffic Data using Transferable Neural Network Models
(Springer, 2019-06)This work presents a neural network based model for inferring air quality from traffic measurements. It is important to obtain information on air quality in urban environments in order to meet legislative and policy ... -
Información Consistente para la toma de Decisiones Empresariales
(UMA Editorial, 2020-02-24)Actualmente la sociedad vive un cambio de paradigma denominado Sociedad de la información, que afecta a individuos y a empresas/organizaciones en la forma de comunicarse, informase y relacionarse. La segmentación de ... -
iNGS: a prototype tool for genome interpretation and annotation
(EMBnet.journal, 2013)Currently, clinical interpretation of whole-genome NGS genetic findings are very low-throughput because of a lack of computational tools/software. The current bottleneck of whole-genome and whole-exome sequencing projects ... -
Injecting domain knowledge in multi-objective optimization problems: A semantic approach
(Actas de las XXVI Jornadas de Ingeniería del Software y Bases de Datos, 2022-09-05)In the field of complex problem optimization with me-taheuristics, semantics has been used for modeling different aspects, such as: problem characterization, parameters, decision-maker's preferences, or algorithms. However, ... -
Injecting domain knowledge in multi-objective optimization problems: A semantic approach.
(Elsevier, 2021-05-15)In the field of complex problem optimization with me-taheuristics, semantics has been used for modeling different aspects, such as: problem characterization, parameters, decision-maker's preferences, or algorithms. However, ... -
Innovations that empower teachers: the case of i-Spring to design tailor-made learning materials.
(2023)Organizations must acknowledge the necessity of change and adopt diverse management strategies to swiftly adapt to the evolving technology and the new knowledge landscape. In the context of educational changes, an increasing ... -
Los Intangibles en el Diseño de Sistemas de Ayuda a la Decisión.
(2016-06-03)El interés por los intangibles empezó a partir de la crisis reputacional de finales de siglo XX, que tuvo un impacto tremendo en Estados Unidos. Los casos de Enron, Tyco, Ahold, y Arthur Andersen pusieron de manifiesto la ... -
IntegraDos: facilitating the adoption of the Internet of Things through the integration of technologies
(UMA Editorial, 2018-11-14)El Internet de las Cosas (IoT) fue un nuevo concepto introducido por K. Asthon en 1999 para referirse a un conjunto identificable de objetos conectados a través de RFID. Actualmente, el IoT se caracteriza por ser una ... -
Integrating Blockchain in safety-critical systems: an application to the nuclear industry
(IEEE, 2020-10)Safety-Critical Systems (SCSs) often manage sensible data that must be trustworthy, especially in many cases in which different actors participate whose interests may not coincide. Blockchain is a disruptive technology ... -
Integrating FMI and ML/AI models on the open-sourcedigital twin framework OpenTwins
(Wiley, 2024-03-24)The realm of digital twins is experiencing rapid growth and presents a wealth ofopportunities for Industry 4.0. In conjunction with traditional simulation meth-ods, digital twins offer a diverse range of possibilities. ... -
Integrating the common variability language with multilanguage annotations for web engineering
(2018-10-05)Web applications development involves managing a high diversity of files and resources like code, pages or style sheets, implemented in different languages. To deal with the automatic generation of custom-made configurations ... -
Integration and analysis of biomedical data from multiple clinical trials
(UMA Editorial, 2023)In recent years, clinicians can perform more in-depth analyses thanks to current advances in next-generation sequencing (NGS) and biological data's rapid growth and availability. They can combine biological data with other ... -
An Intelligent Advisor for City Traffic Policies
(2018-11-26)Nowadays, city streets are populated not only by private vehicles but also by public transport, fleets of workers, and deliveries. Since each vehicle class has a maximum cargo capacity, we study in this article how ...