• 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 ...
    • 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 ...
    • Machine Learning Based Moored Ship Movement Prediction 

      Alvarellos, Alberto; Figuero, A.; Carro Fidalgo, Humberto; Costas Gómez, Raquel; Sande, José; Guerra, Andrés; Peña González, Enrique; Rabuñal, Juan R. (MDPI, 2021)
      [Abstract] Several port authorities are involved in the R+D+i projects for developing port management decision-making tools. We recorded the movements of 46 ships in the Outer Port of Punta Langosteira (A Coruña, Spain) ...
    • 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 ...