Lenguajes y Ciencias de la Computación - (LCC)
Estas son las colecciones en las que puede catalogar la producción investigadora del departamento Lenguajes y Ciencias de la Computación. Si considera que ninguna de estas se ajusta a su material pida una nueva colección en la sección de sugerencias.
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A multi-objective approach for communication reduction in federated learning under devices heterogeneity constraints
(Elsevier, 2024-02-24)Federated learning is a paradigm that proposes protecting data privacy by sharing local models instead of raw data during each iteration of model training. However, these models can be large, with many parameters, provoking ... -
Pattern recognition frequency-based feature selection with multi-objective discrete evolution strategy for high-dimensional medical datasets
(Elsevier, 2024-02-17)Feature selection has a prominent role in high-dimensional datasets to increase classification accuracy, decrease the learning algorithm computational time, and present the most informative features to decision-makers. ... -
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. ... -
UTypes: a library for uncertain datatypes in Python
(Elsevier, 2024-03-05)Existing Python uncertainty packages support the expression and propagation of uncertainty in numeric types, such as float or int. However, they do not cover the rest of the built-in types which can also be affected by ... -
Diseño y generación automática de videojuegos.
(UMA Editorial, 2024)En el presente trabajo de investigación, se expone un estudio de naturaleza teórica y práctica cuyo enfoque se centra en la generación automatizada de videojuegos desde una perspectiva de diseño. Este enfoque abarca diversas ... -
Achieving Energy Efficiency with a Software Product Line Engineering Approach.
(UMA Editorial, 2024)La OCDE afirma que el consumo de energía es un combustible para el crecimiento económico, pero está estrechamente relacionado con el cambio climático global a través de las emisiones de gases de efecto invernadero. Por ... -
Functions as a service for distributed deep neural network inference over the cloud-to-things continuum
(Wiley, 2024-02-11)The use of serverless computing has been gaining popularity in recent years as an alternative to traditional Cloud computing. We explore the usability and potential development benefits of three popular open-source serverless ... -
Deep Learning Neural Networks to Improve Small Object Detection.
(UMA Editorial, 2024)This Ph.D. thesis is about enhancing small object detection and segmentation in road video sequences by integrating convolutional neural networks (CNNs) and super-resolution (SR) techniques. In response to the increasing ... -
Especificación de una Ontologı́a para el Gobierno Electrónico en el Contexto de la Administración Pública Latinoamericana.
(UMA Editorial, 2024)En esta tesis, se propone una Especificación de una Ontología para el Gobierno Electrónico en el Contexto de la Administración Pública Latinoamericana, con el objetivo de evolucionar el modelo actual de la estructura ... -
Sistema de indicadores parametrizable para la implementación de smart destinations
(UMA Editorial, 2023-09-22)En el inicio del siglo XXI, el avance de las TIC y la búsqueda de mejoras en las condiciones de vida en las ciudades dieron lugar a diversos conceptos y terminologías para definir o cambiar los modelos territoriales ... -
Personal IoT Privacy Control at the Edge.
(IEEE, 2021-08-18) -
Dynamic learning rates for continual unsupervised learning.
(IOS Press, 2023)The dilemma between stability and plasticity is crucial in machine learning, especially when non-stationary input distributions are considered. This issue can be addressed by continual learning in order to alleviate ... -
Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board
(IEEE, 2021)Social conflicts appearing in the media are increas ing public awareness about security issues, resulting in a higher demand of more exhaustive environment monitoring methods. Automatic video surveillance systems are a ... -
Online adaptive decision trees based on concentration inequalities.
(Elsevier, 2016-04-21)Classification trees are a powerful tool for mining non-stationary data streams. In these situations, mas sive data are constantly generated at high speed and the underlying target function can change over time. The iadem ... -
A Biomimetical Dynamic Window Approach to Navigation for Collaborative Control.
(IEEE, 2017-05-23)—Shared control is a strategy used in assistive plat forms to combine human and robot orders to achieve a goal. Col laborative control is a specific shared control approach, in which user’s and robot’s commands are merged ... -
Automated detection of vehicles with anomalous trajectories in traffic surveillance videos.
(IOS Press, 2023-05-10)Video feeds from traffic cameras can be useful for many purposes, the most critical of which are related to monitoring road safety. Vehicle trajectory is a key element in dangerous behavior and traffic accidents. In this ... -
Optimising traffic lights with metaheuristics: Reduction of car emissions and consumption
(IEEE, 2014-07)In last years, enhancing the vehicular traffic flow becomes a mandatory task to minimize the impact of polluting emissions and unsustainable fuel consumption in our cities. Smart Mobility optimisation emerges then, with ... -
Energy-efficient reprogramming in wsn using constructive neural networks.
(International Journal of Innovative Computing, Information and Control, 2012-11)In this paper, we propose the use of neural based technologies to carry out the dynamic reprogramming of wireless sensor networks as an alternative to traditional methodology. An analysis an comparison of the energy cost ... -
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, ... -
Towards an ontology-driven clinical experience sharing ecosystem: demonstration with liver cases
(ELSEVIER, 2018)Past medical cases, hence clinical experience, are invaluable resources in supporting clinical practice, research, and education. Medical professionals need to be able to exchange information about patient cases and explore ...