Recent Submissions

  • Artificial glial cells in artificial neuronal networks: a systematic review 

    Álvarez-González, Sara; Cedrón, Francisco; Pazos, A.; Porto-Pazos, Ana B. (Springer Nature, 2023-11)
    [Abstract]: The concept of tripartite synapses has revolutionized the world of neuroscience and the way we understand how information is transmitted in the brain. Since its discovery, some research groups have incorporated ...
  • Estimulación musical temprana en casa: propuesta de aplicación móvil 

    Rodríguez-Fernández, Nereida; Santos, Iria; Cedrón, Francisco; Santos, Antonino; Romero, Juan; Carballal, Adrián (REDINE, Red de Investigación e Innovación Educativa, 2020)
  • Deep Learning-Based Wave Overtopping Prediction 

    Alvarellos, Alberto; Figuero, A.; Rodríguez-Yáñez, Santiago; Sande, José; Peña González, Enrique; Rosa-Santos, Paulo; Rabuñal, Juan R. (MDPI, 2024-03-20)
    [Abstract]: This paper analyses the application of deep learning techniques for predicting wave overtopping events in port environments using sea state and weather forecasts as inputs. The study was conducted in the outer ...
  • ESCAPE: Environmental Sampling Campaigns for Aerosols and Precursor GasEs 

    Andrade-Garda, Javier; López-Mahía, P.; Piñeiro-Iglesias, María; Suárez-Garaboa, Sonia; Álvarez Rodríguez, Antonio; Gómez-Moreno, Francisco J.; Artíñano, Begoña; Chas Álvarez, Lucía; Molero, Francisco (2020)
    [Abstract] Software to manage sampling campaigns on atmospheric aerosol in a comprehensive way: call and agreements on the campaigns, data upload and intra‐ and inter‐campaign data analysis, including those regarding not ...
  • SCALA: Sampling Campaigns for Aerosols in the Low Atmosphere 

    Andrade-Garda, Javier; López-Mahía, P.; Piñeiro-Iglesias, María; Suárez-Garaboa, Sonia; Álvarez Rodríguez, Antonio; Gómez-Moreno, Francisco J.; Artíñano, Begoña (2017)
    [Abstract]: Software to manage sampling campaigns on atmospheric aerosol in a comprehensive way: call and agreements on the campaigns, data upload and intra‐ and inter‐campaign data analysis.

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