Browsing by Research Group "Laboratorio Interdisciplinar de Aplicacións da Intelixencia Artificial (LIA2)"

Now showing items 1-20 of 77

    • A Blended Artificial Intelligence Approach for Spectral Classification of Stars in Massive Astronomical Surveys 

      Dafonte, Carlos; Rodríguez, Alejandra; Manteiga, Minia; Gómez García, Ángel; Arcay, Bernardino (MDPI AG, 2020-05-01)
      [Abstract] This paper analyzes and compares the sensitivity and suitability of several artificial intelligence techniques applied to the Morgan–Keenan (MK) system for the classification of stars. The MK system is based ...

    • A First Approach to Authentication Based on Artificial Intelligence for Touch-Screen Devices 

      Silvelo, Arturo; Garabato, D.; Santoveña, Raúl; Dafonte, Carlos (MDPI AG, 2020-08-18)
      [Abstract] Most authentication schemes follow a classical approach, where the users are authenticated only once at the beginning of their sessions. Therefore, it is not possible to verify the legitimate use of such a ...

    • A privacy-preserving key transmission protocol to distribute QRNG keys using zk-SNARKs 

      Soler, David; Dafonte, Carlos; Fernández Veiga, Manuel; Fernández Vilas, Ana; Nóvoa, Francisco (Elsevier B.V., 2024-04)
      [Absctract]: High-entropy random numbers are an essential part of cryptography, and Quantum Random Number Generators (QRNG) are an emergent technology that can provide high-quality keys for cryptographic algorithms but ...

    • A search for Galactic post-asymptotic giant branch stars in Gaia DR3 

      Manteiga, Minia; González Santamaría, I.; Dafonte, Carlos; Villaver, Eva; Ulla, Ana; Machado, A. (EDP Sciences, 2024)
      [Abstract] Context. When low- and intermediate-mass stars leave the asymptotic giant branch (AGB) phase, and before they reach the planetary nebula stage, they enter a very brief and rather puzzling stellar evolutionary ...

    • Advanced classification of hot subdwarf binaries using artificial intelligence techniques and Gaia DR3 data 

      Manteiga, Minia; Álvarez, M. A.; Santoveña, Raúl; Dafonte, Carlos; Solan, E.; Ulla, Ana; Viscasillas Vázquez, Carlos; Ambrosch, Markus; Magrini, Laura; Pérez-Fernández, Esther; Aller, Alba; Drazdauskas, Arnas; Mikolaitis, Šarūnas; Rodrigo Blanco, Carlos (EDP Sciences, 2024)
      [Abstract] Context. Hot subdwarf stars are compact blue evolved objects, burning helium in their cores surrounded by a tiny hydrogen envelope. In the Hertzsprung-Russell Diagram they are located by the blue end of the ...

    • AI-based user authentication reinforcement by continuous extraction of behavioral interaction features 

      Garabato, D.; Dafonte, Carlos; Santovena, Raul; Silvelo, Arturo; Nóvoa, Francisco; Manteiga, Minia (Springer, 2022-07)
      [Abstract]: In this work, we conduct an experiment to analyze the feasibility of a continuous authentication method based on the monitorization of the users' activity to verify their identities through specific user profiles ...

    • Analysis and Knowledge Discovery by Means of Self-Organizing Maps for Gaia Data Releases 

      Álvarez, M. A.; Dafonte, Carlos; Garabato, D.; Manteiga, Minia (Springer, 2016)
      [Abstract]: A billion stars: this is the approximate amount of visible objects estimated to be observed by the Gaia satellite, representing roughly 1 % of the objects in the Galaxy. It constitutes the biggest amount of ...

    • Analyzing Supervised Machine Learning Models for Classifying Astronomical Objects Using Gaia DR3 Spectral Features 

      Manteiga, Minia; Pérez Cruz, Orestes Javier; Martínez-Pinto, Cynthia Alejandra; Navarro Jiménez, Silvana Guadalupe; Corral, Luis (MDPI, 2024)
      [Abstract] In this paper, we present an analysis of the effectiveness of various machine learning algorithms in classifying astronomical objects using data from the third release (DR3) of the Gaia space mission. The dataset ...

    • Application of RFID Technology in Patient Tracking and Medication Traceability in Emergency Care 

      Martínez Pérez, María; Cabrero-Canosa, Mariano; Vizoso Hermida, José; Carrajo García, Lino; Llamas Gómez, Daniel; Vázquez González, Guillermo; Martín Herranz, Isabel (Springer Nature, 2012-07-26)
      [Abstract]: One of the most important factors that directly affects the quality of health care is patient safety. Minimize the occurrence of adverse events is one of the main challenges for health professionals. This ...

    • Auditoría Wi-Fi basada en placas de bajo coste 

      Otero Dans, Anxo; Dafonte, Carlos; Fernández, Diego; Cacheda, Fidel; López-Vizcaíno, Manuel F.; Nóvoa, Francisco (Universidade da Coruña, 2021)
      [Resumen]: En la actualidad, el uso de redes inalámbricas crece exponencialmente en entornos empresariales de todo tipo. Si bien es cierto que existen una gran cantidad de soluciones en el ámbito de auditoría de redes ...

    • Close Binary Stars in Planetary Nebulae through Gaia EDR3 

      González Santamaría, I.; Manteiga, Minia; Dafonte, Carlos (MDPI, 2021)
      [Abstract] The aim of this work is to search for evidence of close binary stars associated with planetary nebulae (ionized stellar envelopes in expansion) by mining the astronomical archive of Gaia EDR3. For this task, ...

    • CultUnity3D: a Virtual Spatial Ecosystem for Digital Engagement with Cultural Heritage Sites 

      López-Salas, Estefanía; Xuíz García, Adrián; Gómez García, Ángel; Dafonte, Carlos (MDPI, 2020)
      [Abstract] In order to help enhance public outreach and understanding of historical sites, we developed a virtual spatial ecosystem called CultUnity3D. It consists of a set of components specifically implemented within the ...

    • Discovery of a dormant 33 solar-mass black hole in pre-release Gaia astrometry 

      Manteiga, Minia; Álvarez, M. A.; Santoveña, Raúl; Panuzzo, P.; Pallas-Quintela, Lara; Garabato, D.; Gómez García, Ángel; Dafonte, Carlos; González Santamaría, I.; Torralba Elipe, Guillermo; Župić, Andrija (EDP Sciences, 2024)
      [Abstract] Context. Gravitational waves from black-hole (BH) merging events have revealed a population of extra-galactic BHs residing in short-period binaries with masses that are higher than expected based on most stellar ...

    • Disentangling stellar atmospheric parameters in astronomical spectra using generative adversarial neural networks. Application to Gaia/RVS parameterisation 

      Manteiga, Minia; Santoveña, Raúl; Álvarez, M. A.; Dafonte, Carlos; Navarro Jiménez, Silvana Guadalupe; Corral, Luis; Penedo, M.G. (EDP Sciences, 2025)
      [Abstract] Context. The rapid expansion of large-scale spectroscopic surveys has highlighted the need to use automatic methods to extract information about the properties of stars with the greatest efficiency and accuracy, ...

    • Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis 

      Dafonte, Carlos; Garabato, D.; Álvarez, M. A.; Manteiga, Minia (MDPI AG, 2018-05-03)
      [Abstract] Analyzing huge amounts of data becomes essential in the era of Big Data, where databases are populated with hundreds of Gigabytes that must be processed to extract knowledge. Hence, classical algorithms must be ...

    • Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis 

      Dafonte, Carlos; Garabato, D.; Álvarez, M. A.; Manteiga, Minia (MDPI, 2018-11)
      [Abstract]: Analyzing huge amounts of data becomes essential in the era of Big Data, where databases are populated with hundreds of Gigabytes that must be processed to extract knowledge. Hence, classical algorithms must ...

    • Elementos y ventajas del enrutado meteorológico en la era del COVID-19 

      Manteiga, Minia; López-Varela, Pablo (Instituto Universitario de Estudios Marítimos y Aranzadi, 2022)
      [Resumen] La pandemia debida a la enfermedad SARS-COV-2 ha puesto en evidencia que los problemas globales han de enfrentarse con herramientas novedosas que integren colaboraciones constructivas de sectores diversos ...

    • Evaluation of a Tracking System for Patients and Mixed Intravenous Medication Based on RFID Technology 

      Martínez Pérez, María; Vázquez González, Guillermo; Dafonte, Carlos (Multidisciplinary Digital Publishing Institute, 2016)
      At present, one of the primary concerns of healthcare professionals is how to increase the safety and quality of the care that patients receive during their stay in hospital. This is particularly important in the administration ...

    • Gaia Data Release 1: Summary of the astrometric, photometric, and survey properties 

      Brown, A. G. A.; Vallenari, A.; Prusti, T.; Bruijne, J. H.J. de; Manteiga, Minia; Álvarez, M. A.; Arcay, Bernardino; Dafonte, Carlos; Garabato, D.; Fustes, D. (EDP Sciences, 2016-11)
      [Abstract]: Context. At about 1000 days after the launch of Gaia we present the first Gaia data release, Gaia DR1, consisting of astrometry and photometry for over 1 billion sources brighter than magnitude 20.7. Aims. A ...

    • Gaia Data Release 2: Mapping the Milky Way disc kinematics 

      Katz, D.; Manteiga, Minia; Álvarez, M. A.; Arcay, Bernardino; Dafonte, Carlos; Garabato, D. (EDP Sciences, 2018)
      [Abstract] Context. The second Gaia data release (Gaia DR2) contains high-precision positions, parallaxes, and proper motions for 1.3 billion sources as well as line-of-sight velocities for 7.2 million stars brighter than ...