Now showing items 1-3 of 3

    • Application of an Analytic Methodology to Estimate the Movements of Moored Vessels Based on Forecast Data 

      Sande, José; Figuero, A.; Tarrío-Saavedra, Javier; Peña González, Enrique; Alvarellos, Alberto; Rabuñal, Juan R. (MDPI, 2019-09)
      [Abstract]: A port’s operating capacity and the economic performance of its concessions are intimately related to the quality of its operational conditions. This paper presents an analytical methodology for estimating the ...
    • 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) ...