LCC - Artículos
Envíos recientes
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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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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. -
The Benefits of Blockchain Technology for Medical Tourism
(MDPI, 2021-11)The paper discusses the benefits of blockchain technology for medical tourism. The major focus is placed on pre-procedure and post-procedure of medical tourism. The authors argue that blockchain technology can facilitate ... -
A blockchain approach for decentralized V2X (D-V2X)
(IEEE, 2021-05)New mobility paradigms have appeared in recent years, and everything suggests that some more are coming. This fact makes apparent the necessity of modernizing the road infrastructure, the signalling elements and the traffic ... -
Learning Multi-Party Adversarial Encryption and Its Application to Secret Sharing
(2022-11)Neural networks based cryptography has seen a significant growth since the introduction of adversarial cryptography which makes use of Generative Adversarial Networks (GANs) to build neural networks that can learn encryption. ... -
Middleware and communication technologies for structural health monitoring of critical infrastructures: a survey
(Elsevier, 2018-02)Critical Infrastructure Protection (CIP) has become a priority for every country around the world with the aim of reducing vulnerabilities and improving protection of Critical Infrastructures (CI) against terrorist attacks ... -
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 ...