Listar Lenguajes y Ciencias de la Computación - (LCC) por centro "E.T.S.I. Telecomunicación"
Mostrando ítems 1-12 de 12
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A modular metamodel and refactoring rules to achieve software product line interoperability.
(Elsevier, 2022-12-05)Emergent application domains, such as cyber–physical systems, edge computing or industry 4.0. present a high variability in software and hardware infrastructures. However, no single variability modeling language supports ... -
A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks.
(Elsevier, 2022-12-07)Randomized-based Feedforward Neural Networks approach regression and classification (binary and multi-class) problems by minimizing the same optimization problem. Specifically, the model parameters are determined through ... -
A Test Environment for Wireless Hacking in Domestic IoT Scenarios
(Springer Nature, 2022-10-14)Security is gaining importance in the daily life of every citizen. The advent of Internet of Things devices in our lives is changing our conception of being connected through a single device to a multiple connection in ... -
Analysis and design of security mechanisms in the context of Advanced Persistent Threats against critical infrastructures
(UMA Editorial, 2022-06)Industry 4.0 can be defined as the digitization of all components within the industry, by combining productive processes with leading information and communication technologies. Whereas this integration has several benefits, ... -
Aplicabilidad de la Caracterización de Benchmarks a Modelos de Variabilidad
(2018-09-13)Los benchmarks utilizados para comparar el rendimiento de diferentes sistemas presentan una alta variabilidad que puede ser representada en modelos de variabilidad como los Feature Models. En este artículo presentamos ... -
Automatic frequency-based feature selection using discrete weighted evolution strategy
(Elsevier, 2022-10-10)High dimensional datasets usually suffer from curse of dimensionality which may increase the classification time and decrease the classification accuracy beyond a certain dimensionality. Thus, feature selection is used to ... -
ExTrA: Explaining architectural design tradeoff spaces via dimensionality reduction.
(Elsevier, 2022-12-19)In software design, guaranteeing the correctness of run-time system behavior while achieving an acceptable balance among multiple quality attributes remains a challenging problem. Moreover, providing guarantees about the ... -
Metaheurísticas de optimización multiobjetivo aplicadas a la inferencia filogenética y al alineamiento múltiple de secuencias
(UMA Editorial, 2017)La temática sobre la que ha girado esta tesis doctoral ha sido la optimización de dos problemas del campo de la Bioinformática: la Inferencia Filogenética y al Alineamiento Múltiple de Secuencias usando metaheurísticas ... -
Prediction of Protein Oxidation Sites
(Springer International Publishing AG, 2017-05-18)Although reactive oxygen species are best known as damag- ing agents linked to aerobic metabolism, it is now clear that they can also function as messengers in cellular signalling processes. Methionine, one of the two ... -
STAN: analysis of data traces using an event-driven interval temporal logic
(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 ... -
Towards a robust robotic assistant for Comprehensive Geriatric Assessment procedures: the CLARC system
(2018-09-26)Socially assistive robots appear as a powerful tool in the upcoming silver society. They are among the technologies for Assisted Living, offering a natural interface with smart environments, while helping people through ... -
A transfer-learning approach to feature extraction from cancer transcriptomes with deep autoencoders
(2019-06-18)The diagnosis and prognosis of cancer are among the more challenging tasks that oncology medicine deals with. With the main aim of fitting the more appropriate treatments, current personalized medicine focuses on using ...