• A Hybrid Intelligent Modeling approach for predicting the solar thermal panel energy production 

      Arroyo, Ángel; Basurto, Nuño; Casado Vara, Roberto; Timiraos, Míriam; Calvo-Rolle, José Luis (Elsevier, 2024-01-14)
      [Abstract] There is no doubt that the European Union is undergoing an ecological transition, with renewable energies accounting for an increasing share of energy consumption in the Member States. In Spain, solar energy is ...
    • A Hybrid Intelligent System to Forecast Solar Energy Production 

      Basurto, Nuño; Arroyo, Ángel; Vega-Vega, Rafael A.; Héctor, Quintián; Calvo-Rolle, José Luis (Elsevier, 2019-08-07)
      [Abstarct]: There is wide acknowledgement that solar energy is a promising and renewable source of electricity. However, complementary sources are sometimes required, due to its limited capacity, in order to satisfy user ...
    • Beta-Hebbian Learning to enhance unsupervised exploratory visualizations of Android malware families 

      Basurto, Nuño; García-Prieto, Diego; Quintián, Héctor; Urda Muñoz, Daniel; Calvo-Rolle, José Luis; Corchado, Emilio (Oxford University Press, 2024-05-20)
      [Abstract] As it is well known, mobile phones have become a basic gadget for any individual that usually stores sensitive information. This mainly motivates the increase in the number of attacks aimed at jeopardizing ...
    • Delving into Android Malware Families with a Novel Neural Projection Method 

      Vega-Vega, Rafael A.; Quintián, Héctor; Cambra, Carlos; Basurto, Nuño; Herrero, Alvaro; Calvo-Rolle, José Luis (Willey-Hindawi, 2019)
      [Abstract] Present research proposes the application of unsupervised and supervised machine-learning techniques to characterize Android malware families. More precisely, a novel unsupervised neural-projection method for ...