• openAccess   A survey on uncertainty quantification in deep learning for financial time series prediction 

      Blasco, Txus; Sánchez Garreta, Josep Salvador; García, Vicente Elsevier Science Direct (2024-01-28)
      Investors make decisions about buying and selling a financial asset based on available information. The traditional approach in Deep Learning when trying to predict the behavior of an asset is to take a price history, train ...
    • openAccess   Digital Twins in Solar Farms: An Approach through Time Series and Deep Learning 

      Arafet Cruz, Kemel; Berlanga Llavori, Rafael MDPI (2021-05-18)
      The generation of electricity through renewable energy sources increases every day, with solar energy being one of the fastest-growing. The emergence of information technologies such as Digital Twins (DT) in the field of ...
    • openAccess   Multitemporal Mosaicing for Sentinel-3/FLEX Derived Level-2 Product Composites 

      Ibáñez Fernández, Damián; Fernandez-Beltran, Ruben; Martínez Sotoca, José; Mollineda, Ramón A.; Moreno, Jose; Pla, Filiberto Institute of Electrical and Electronics Engineers (2020-09-24)
      The increasing availability of remote sensing data raises important challenges in terms of operational data provision and spatial coverage for conducting global studies and analyses. In this regard, existing multitemporal ...