Listar Lenguajes y Ciencias de la Computación - (LCC) por título
Mostrando ítems 262-281 de 540
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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 ... -
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 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, ... -
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 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 ... -
Interconnecting IoT devices to improve the QoL of elderly people
(2020-06-15)The rate at which the Internet is growing is unstoppable due to the large number of connected smart devices. Manufacturers often develop specific protocols for their own devices that do not usually follow any standards. ... -
Introducción a la doble narrativa videolúdica
(2015-10-20)Los medios narrativos interactivos, entre ellos los jugables, se distinguen de los tradicionales por las relaciones que se dan entre las dos narrativas que los conforman. Para establecer y tutorar dichas relaciones nace ... -
Introducing Approximate Model Transformations
(2014-09-22)Model transformations dealing with very large models need to count on mechanisms and tools to be able to manage them. The usual approach to improve performance in these cases has focused on the use of concurrency and ... -
Juégame un cuento
(2014-10-24)Como diseñadores, programadores, artistas o (incluso) guionistas, ¿qué debemos hacer para evitar que el guion de un videojuego se convierta en una pesadilla? ¿El mejor guionista es el que mejor escribe? ¿Cuánto cuesta ... -
Just-In-Time eTraining Applied To Emergency Medical Services
(2013-12-03)While the applications of just-in-time training are more and more spread, the ubiquitous mobile technology has not found practical uses of this training strategy. As an original example of services for healthcare, we ... -
Kafka-ML: Connecting the data stream with ML/AI frameworks
(Elsevier, 2022-01-01)Machine Learning (ML) and Artificial Intelligence (AI) depend on data sources to train, improve, and make predictions through their algorithms. With the digital revolution and current paradigms like the Internet of Things, ...