• 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 ...

• Gamification in education: State of the art 

  Santos, Iria; Torrente-Patiño, Álvaro (Universidade do Minho, 2020)

  [Resumen] Este artículo es un viaje a través de los avances y ventajas de la gamificación en educación, basado en la investigación y los estudios científicos identificados como los más relevantes. Se centra en recopilar ...

• Monumento 

  Santos, Iria; Torrente-Patiño, Álvaro (Universidade do Minho, 2020)

  [Resumen] Este artigo explica os grandes rasgos do Trabalho apresentado por 3 estudiosos (Inês Pérez, Laura Pico e Iria Santos) de Comunicação Audiovisual na Universidade da Corunha no ano de 2017, quando você monta e ...

• Deep learning models for real-life human activity recognition from smartphone sensor data 

  García-González, Daniel; Rivero, Daniel; Fernández-Blanco, Enrique; Rodríguez Luaces, Miguel (Elsevier, 2023-12)

  [Abstract]: Nowadays, the field of human activity recognition (HAR) is a remarkably hot topic within the scientific community. Given the low cost, ease of use and high accuracy of the sensors from different wearable devices ...

• Hybrid machine learning techniques in the management of harmful algal blooms impact 

  Molares-Ulloa, Andrés; Rivero, Daniel; Gil Ruiz, Jesús; Fernández-Blanco, Enrique; De-la-Fuente-Valentín, Luis (Elsevier, 2023)

  [Abstract]: Harmful algal blooms (HABs) are episodes of high concentrations of algae that are potentially toxic for human consumption. Mollusc farming can be affected by HABs because, as filter feeders, they can accumulate ...

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