ListarEnxeñaría da Auga e do Medio Ambiente (GEAMA) por tema "Neural networks"

Mostrando ítems 1-3 de 3

    • A Hybrid Neural Network-Based Technique to Improve the Flow Forecasting of Physical and Data-Driven Models: Methodology and Case Studies in Andean Watersheds 

      Farfán-Durán, Juan F.; Palacios Gárate, Karina Fernanda; Ulloa, Jacinto; Avilés, Alex (Elsevier, 2020)
      [Abstract] Study region The present study was conducted in the Machángara Alto and Chulco rivers, which belong to the Paute basin in the provinces of Azuay and Cañar in southern Ecuador. Study focus Andean watersheds ...

    • 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) ...