Recent Submissions

  • New machine learning approaches for real-life human activity recognition using smartphone sensor-based data 

    García-González, Daniel; Rivero, Daniel; Fernández-Blanco, Enrique; Rodríguez Luaces, Miguel (Elsevier B.V., 2023)
    [Abstract]: In recent years, mainly due to the application of smartphones in this area, research in human activity recognition (HAR) has shown a continuous and steady growth. Thanks to its wide range of sensors, its size, ...
  • Wi-Fi Handshake: analysis of password patterns in Wi-Fi networks 

    Carballal, Adrián; Galego Carro, José Pablo; Rodríguez-Fernández, Nereida; Fernández-Lozano, Carlos (PEERJ INC, 2022)
    [Abstract]: This article seeks to provide a snapshot of the security of Wi-Fi access points in the metropolitan area of A Coruña. First, we discuss the options for obtaining a tool that allows the collection and storage ...
  • Special Issue on Applied Artificial Neural Networks 

    Gestal, M. (Multidisciplinary Digital Publishing Institute (MDPI), 2022)
    [Abstract]: Over the years there have been many attempts to understand, and subsequently imitate, the way that humans try to solve problems, so it can help to artificially achieve the same kind of intelligent behavior. ...
  • A review on machine learning approaches and trends in drug discovery 

    Carracedo-Reboredo, Paula; Liñares Blanco, Jose; Rodríguez-Fernández, Nereida; Cedrón, Francisco; Novoa, Francisco; Carballal, Adrián; Maojo, Víctor; Pazos, A.; Fernández-Lozano, Carlos (Research Network of Computational and Structural Biotechnology, 2021)
    Abstract: Drug discovery aims at finding new compounds with specific chemical properties for the treatment of diseases. In the last years, the approach used in this search presents an important component in computer science ...
  • State of the Art on Artificial Intelligence in Land Use Simulation 

    Castro, M. Luz; Machado, Penousal; Santos, Iria; Rodríguez-Fernández, Nereida; Torrente-Patiño, Álvaro; Carballal, Adríán (Hindawi Limited, 2022)
    [Abstract] This review presents a state of the art in artificial intelligence applied to urban planning and particularly to land-use predictions. In this review, different articles after the year 2016 are analyzed mostly ...

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