Listar LCC - Artículos por título
Mostrando ítems 7-26 de 169
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A methodology to find the elementary landscape decomposition of combinatorial optimization problems
(2014-10-03)A small number of combinatorial optimization problems have search spaces that correspond to elementary landscapes, where the objective function f is an eigenfunction of the Laplacian that describes the neighborhood structure ... -
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 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 ... -
A novel clustering based method for characterizing household electricity consumption profiles
(Elsevier, 2023-12-12)A new methodology based on expert knowledge and data mining is proposed to obtain data-driven models that characterize household consumption profiles. These profiles are useful for electricity marketers to understand their ... -
A scoping review and a taxonomy of the use of motion-based technology centered on the end user. A special focus on elderly health
(Springer, 2023)Motion-based technology (MBT) has been applied in the last decades with enormous success in a high number of applications. Its use continues growing and is specially interesting in the health area. Nowadays, its employment ... -
A Semantic Model for Enhancing Data-Driven Open Banking Services
(IOAP-MDPI, 2023-01-21)In current Open Banking services, the European Payment Services Directive (PSD2) allows the secure collection of bank customer information, on their behalf and with their consent, to analyze their financial status and ... -
A similarity measure for cyclic unary regular languages
(IOS Press, 2009)A cyclic unary regular language is a regular language over a unary alphabet that is represented by a cyclic automaton. We propose a similarity measure for cyclic unary regular languages by modifying the Jaccard similarity ... -
A survey on the (in)security of trusted execution environments
(Elsevier, 2023)As the number of security and privacy attacks continue to grow around the world, there is an ever increasing need to protect our personal devices. As a matter of fact, more and more manufactures are relying on Trusted ... -
A takeover time-driven adaptive evolutionary algorithm for mobile user tracking in pre-5G cellular networks
(ELSEVIER, 2022-02)Cellular networks are one of today’s most popular means of communication. This fact has made the mobile phone industry subject to a huge scientific and economic competition, where the quality of service is key. Such a ... -
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 ... -
Adaptive music: Automated music composition and distribution
(2016)Creativity, or the ability to produce new useful ideas, is commonly associated to the human being; but there are many other examples in nature where this phenomenon can be observed. Inspired by this fact, in engineering, ... -
AI Methods in Algorithmic Composition: A Comprehensive Survey
(AI Access Foundation, 2013)Algorithmic composition is the partial or total automation of the process of music composition by using computers. Since the 1950s, different computational techniques related to Artificial Intelligence have been used for ... -
An automatic and association-based procedure for hierarchical publication subject categorization
(Elsevier, 2023-11-11)Subject categorization of scientific publications, i.e., journals, book series or conference proceedings, has become a main concern in academia, as publication impact and ranking are considered a basic criterion to evaluate ... -
An evaluation of best compromise search in graphs
(Springer, 2013-09)This work evaluates two different approaches for multicriteria graph search problems using compromise preferences. This approach focuses search on a single solution that represents a balanced tradeoff between objectives, ... -
An open source framework based on Kafka-ML for Distributed DNN inference over the Cloud-to-Things continuum
(Elsevier, 2021-06-16)The current dependency of Artificial Intelligence (AI) systems on Cloud computing implies higher transmission latency and bandwidth consumption. Moreover, it challenges the real-time monitoring of physical objects, e.g., ... -
Analysis and recognition of human gait activity based on multimodal sensors
(MDPI, 2023-03-22)Remote health monitoring plays a significant role in research areas related to medicine, neurology, rehabilitation, and robotic systems. These applications include Human Activity Recognition (HAR) using wearable sensors, ... -
Analysis of 3D Scan Measurement Distribution with Application to a Multi-Beam Lidar on a Rotating Platform
(MDPI, 2018)Multi-beam lidar (MBL) rangefinders are becoming increasingly compact, light, and accessible 3D sensors, but they offer limited vertical resolution and field of view. The addition of a degree-of-freedom to build a rotating ...