• 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 ...
    • 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 ...
    • Analysis of the NS-3 module QKDNetSim for the Simulation of QKD Networks 

      Soler, David; Cillero Seijas, Iván; Nóvoa, Francisco; Dafonte, Carlos; Fernández Vilas, Ana; Fernández Veiga, Manuel (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Quantum Key Distribution (QKD) is a promising technology that allows two nodes to privately agree on a key through a quantum channel. Unfortunately, QKD is still in experimental phase and researchers must rely ...
    • 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 ...
    • 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 ...
    • Elaboración y defensa de trabajos en el entorno de producción audiovisual mediante tutorías grupales 

      Martínez Pérez, María; Dafonte, Carlos; Gómez García, Ángel (Universidade da Coruña, Cufie, 2018)
      [Resumen] Con el objetivo de formar profesionales con éxito en el entorno de la Comunicación Audiovisual, es fundamental que los alumnos, dispongan de tareas que faciliten la evolución de las destrezas de comunicación ...
    • Embedded System for Monitoring and Prevention of Hardware/Software Incidents in Data Center Devices 

      Pérez Aboli, Alberto; Dafonte, Carlos; Gómez, Ángel (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Real-time monitoring of the status of the devices available in Data Centers (DC) is a critical task to try to provide quality services to customers, but also to detect possible hardware/- software incidents ...
    • 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 3: Analysis of RVS spectra using the General Stellar Parametriser from spectroscopy 

      Recio-Blanco, A.; Torralba Elipe, Guillermo; Manteiga, Minia; Dafonte, Carlos; Garabato, D.; Gómez, Ángel; González Santamaría, I.; Pallas-Quintela, Lara; Santoveña, Raúl; Silvelo, Arturo (EDP Sciences, 2023-06)
      [Abstract]: Context. The chemo-physical parametrisation of stellar spectra is essential for understanding the nature and evolution of stars and of Galactic stellar populations. A worldwide observational effort from the ...
    • Gaia Data Release 3: Analysis of the Gaia BP/RP spectra using the General Stellar Parameterizer from Photometry 

      Andrae, R.; Álvarez, M. A.; Dafonte, Carlos; Garabato, D.; Gómez, Ángel; González Santamaría, I.; Manteiga, Minia; Pallas-Quintela, Lara; Santoveña, Raúl; Silvelo, Arturo; Torralba Elipe, Guillermo (EDP Sciences, 2023-06)
      [Abstract]: Context. The astrophysical characterisation of sources is among the major new data products in the third Gaia Data Release (DR3). In particular, there are stellar parameters for 471 million sources estimated ...
    • Gaia Data Release 3: Apsis. II. Stellar parameters 

      Fouesneau, M.; Álvarez, M. A.; Garabato, D.; Dafonte, Carlos; Gómez, Ángel; González Santamaría, I.; Manteiga, Minia; Pallas-Quintela, Lara; Santoveña, Raúl; Silvelo, Arturo; Torralba Elipe, Guillermo (EDP Sciences, 2023-06)
      [Abstract]: Context. The third Gaia data release (Gaia DR3) contains, beyond the astrometry and photometry, dispersed light for hundreds of millions of sources from the Gaia prism spectra (BP and RP) and the spectrograph ...
    • Gaia Data Release 3: Apsis. III. Non-stellar content and source classification 

      Delchambre, L.; Garabato, D.; Dafonte, Carlos; Manteiga, Minia; Silvelo, Arturo; Álvarez, M. A.; Gómez, Ángel; González Santamaría, I.; Pallas-Quintela, Lara; Santoveña, Raúl; Torralba Elipe, Guillermo (EDP Sciences, 2023-06)
      [Abstract]: Context. As part of the third Gaia Data Release, we present the contributions of the non-stellar and classification modules from the eighth coordination unit (CU8) of the Data Processing and Analysis Consortium, ...
    • Gaia Data Release 3: Astrophysical parameters inference system (Apsis). I. Methods and content overview 

      Creevey, O. L.; Garabato, D.; Torralba Elipe, Guillermo; Álvarez, M. A.; Dafonte, Carlos; Gómez, Ángel; González Santamaría, I.; Manteiga, Minia; Pallas-Quintela, Lara; Santoveña, Raúl; Silvelo, Arturo (EDP Sciences, 2023-06)
      [Abstract]: Gaia Data Release 3 contains a wealth of new data products for the community. Astrophysical parameters are a major component of this release, and were produced by the Astrophysical parameters inference system ...
    • Gaia Data Release 3: Catalogue validation 

      Babusiaux, C.; Álvarez, M. A.; Dafonte, Carlos; Manteiga, Minia; Santoveña, Raúl; Torralba Elipe, Guillermo (EDP Sciences, 2023-06)
      [Abstract]: Context. The third Gaia data release (DR3) provides a wealth of new data products. The early part of the release, Gaia EDR3, already provided the astrometric and photometric data for nearly two billion sources. ...
    • Gaia Data Release 3: Chemical cartography of the Milky Way 

      Recio-Blanco, A.; Garabato, D.; Álvarez, M. A.; Dafonte, Carlos; Gómez, Ángel; González Santamaría, I.; Pallas-Quintela, Lara; Santoveña, Raúl; Silvelo, Arturo; Torralba Elipe, Guillermo; Manteiga, Minia (EDP Sciences, 2023-06)
      [Abstract]: Context. The motion of stars has been used to reveal details of the complex history of the Milky Way, in constant interaction with its environment. Nevertheless, to reconstruct the Galactic history puzzle in ...