Recent Submissions

  • 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 ...
  • Machine Learning Based Microbiome Signature to Predict Inflammatory Bowel Disease Subtypes 

    Liñares Blanco, José; Fernández-Lozano, Carlos; Seoane Fernández, José Antonio; López-Campos, Guillermo (FRONTIERS MEDIA S.A., 2022)
    [Abstract] Inflammatory bowel disease (IBD) is a chronic disease with unknown pathophysiological mechanisms. There is evidence of the role of microorganims in this disease development. Thanks to the open access to multiple ...
  • Machine Learning-Based Radon Monitoring System 

    Valcarce, Diego; Alvarellos, Alberto; Rabuñal, Juan R.; Dorado, Julián; Gestal, M. (MDPI, 2022)
    [Abstract] Radon (Rn) is a biological threat to cells due to its radioactivity. It is capable of penetrating the human body and damaging cellular DNA, causing mutations and interfering with cellular dynamics. Human exposure ...

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