Listar LCC - Artículos por título
Mostrando ítems 132-151 de 237
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Maintaining flexibility in smart grid consumption through deep learning and deep reinforcement learning
Gallego, Fernando; Martín-Fernández, Cristian
; Díaz-Rodríguez, Manuel; Garrido-Márquez, Daniel; Garrido-Márquez, Daniel (Elsevier, 2023-03-02)
The smart grid concept is key to the energy revolution that has been taking place in recent years. Smart Grids have been present in energy research since their emergence. However, the scarcity of data from different energy ... -
Malware similarity and a new fuzzy hash: Compound Code Block Hash (CCBHash)
Onieva-González, José Antonio; Pérez-Jiménez, Pablo; López-Muñoz, Francisco Javier (Elsevier, 2024)
In the last few years, malware analysis has become increasingly important due to the rise of sophisticated cyberattacks. One of the objectives of this cybersecurity branch is to find similarities between different files ... -
Managing and Deploying Distributed and Deep Neural Models Through Kafka-ML in the Cloud-to-Things Continuum
Carnero, Alejandro; Martín-Fernández, Cristian; Torres, Daniel R.; Rubio-Muñoz, Bartolomé; Díaz-Rodríguez, Manuel (IEEE, 2021-08)
The Internet of Things (IoT) is constantly growing, generating an uninterrupted data stream pipeline to monitor physical world information. Hence, Artificial Intelligence (AI) continuously evolves, improving life quality ... -
Melomics: A Case-Study of AI in Spain
Sánchez-Quintana, Carlos Alberto; Moreno-Arcas, Francisco; Albarracín Molina, David Daniel; Fernández-Rodríguez, Jose David; Vico-Vela, Francisco José (Association for the Advancement of Artificial Intelligence, 2013-10)
Traditionally focused on good old-fashioned AI and robotics, the Spanish AI community holds a vigorous computational intelligence substrate. Neuromorphic, evolutionary, or fuzzylike systems have been developed by ... -
Metaheuristic Approaches to the Placement of Suicide Bomber Detectors.
Cotta-Porras, Carlos; Gallardo-Ruiz, José Enrique (Springer Nature, 2017-05-15)
Suicide bombing is an infamous form of terrorism that is becoming increasingly prevalent in the current era of global terror warfare. We consider the case of targeted attacks of this kind, and the use of detectors distributed ... -
Metaheuristics on quantum computers: Inspiration, simulation and real execution
Dahi, Zakaria Abdelmoiz; Alba-Torres, Enrique (ELSEVIER, 2022)
Quantum-inspired metaheuristics are solvers that incorporate principles inspired from quantum mechanics into classical-approximate algorithms using non-quantum machines. Due to the uniqueness of quantum principles, the ... -
Methodology for improving classification accuracy using ontologies: application in the recognition of activities of daily living
Salguero-Hidalgo, Alberto Gabriel; Medina-Quero, Javier; De la Torre-Moreno, Pablo; Espinilla-Estévez, Macarena (Springer-Verlag GmbH Germany, 2019-06-01)
Feature construction and selection are two key factors in the field of machine learning (ML). Usually, these are very time-consuming and complex tasks because the features have to be manually crafted. The features are ... -
Middleware and communication technologies for structural health monitoring of critical infrastructures: a survey
Alonso, Luis; Barbarán, Javier; Chen, Jaime; Diaz, Manuel; Llopis-Torres, Luis Manuel; Rubio-Muñoz, Bartolomé[et al.] (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 ... -
Model-based testing of apps in real network scenarios.
Panizo-Jaime, Laura; Díaz-Zayas, Almudena; García, Bruno (Springer Nature, 2019-04-01)
Traditional testing methods for mobile apps focus on detecting execution errors. However, the evolution of mobile networks towards 5G will require additional support for app developers to also ensure good performance and ... -
MoMIT: Porting a JavaScript Interpreter on a Quarter Coin
(IEEE (Institute of Electrical and Electronics Engineers), 2020)The Internet of Things (IoT) is a network of physical, connected devices providing services through private networks and the Internet. The devices connect through the Internet to Web servers and other devices. One of the ... -
Motion-based technology to support motor skills screening in developing children: A scoping review
(Elsevier, 2023-10)Background. Acquiring motor skills is fundamental for children's development since it is linked to cognitive development. However, access to early detection of motor development delays is limited. Aim. This ... -
Multi-objective context-guided consensus of a massive array oftechniques for the inference of Gene Regulatory Networks
Segura Ortiz, Adrián; García-Nieto, José Manuel; Aldana-Montes, José Francisco; Navas-Delgado, Ismael (Elsevier, 2024-07-15)
Background and Objective: Gene Regulatory Network (GRN) inference is a fundamental task in biology and medicine, as it enables a deeper understanding of the intricate mechanisms of gene expression present in organisms. ... -
Multi-objective dynamic programming with limited precision
Mandow-Andaluz, Lorenzo; Pérez-de-la-Cruz-Molina, José Luis; Pozas García, Nicolás (Springer, 2021-11-02)
This paper addresses the problem of approximating the set of all solutions for Multi-objective Markov Decision Processes. We show that in the vast majority of interesting cases, the number of solutions is exponential or ... -
Multi-objective Reinforcement Learning
(2013-09-25)In this talk we present PQ-learning, a new Reinforcement Learning (RL) algorithm that determines the rational behaviours of an agent in multi-objective domains -
Multiobjective optimization of deep neural networks with combinations of Lp-norm cost functions for 3D medical image super-resolution
Thurnhofer-Hemsi, Karl; López-Rubio, Ezequiel; Roé-Vellvé, Núria; Molina-Cabello, Miguel Ángel (IOS Press, 2020-05-20)
In medical imaging, the lack of high-quality images is present in many areas such as magnetic resonance (MR). Due to many acquisition impediments, the generated images have not enough resolution to carry out an adequate ... -
Multiresolution Layered Manufacturing
(Emerald Publishing, 2018)PURPOSE: Two-photon polymerization (TPP) has become one of the most popular techniques for stereolithography at very high resolutions. When printing relatively large structures at high resolutions, one of the main limiting ... -
New Perspectives on the Optimal Placement of Detectors for Suicide Bombers using Metaheuristics.
Cotta-Porras, Carlos; Gallardo-Ruiz, José Enrique (Springer Nature, 2019)
We consider an operational model of suicide bombing attacks –an increasingly prevalent form of terrorism– against specific targets, and the use of protective countermeasures based on the deployment of detectors over the ... -
The NISPI framework: Analysing collaborative problem-solving from students' physical interactions
Cukurova, Mutlu; Luckin, Rose; Millán-Valldeperas, Eva; Mavrikis, Manolis (2019-10-21)
Collaborative problem-solving (CPS) is a fundamental skill for success in modern societies, and part of many common constructivist teaching approaches. However, its effective implementation and evaluation in both digital ... -
NORA: Scalable OWL reasoner based on NoSQL databasesand Apache Spark
Benítez-Hidalgo, Antonio; Navas-Delgado, Ismael; Roldán-García, María del Mar (Wiley, 2023-09-04)
Reasoning is the process of inferring new knowledge and identifying inconsis-tencies within ontologies. Traditional techniques often prove inadequate whenreasoning over large Knowledge Bases containing millions or billions ...