Now showing items 1-2 of 2

    • Hybrid machine learning techniques in the management of harmful algal blooms impact 

      Molares-Ulloa, Andrés; Rivero, Daniel; Gil Ruiz, Jesús; Fernández-Blanco, Enrique; De-la-Fuente-Valentín, Luis (Elsevier, 2023)
      [Abstract]: Harmful algal blooms (HABs) are episodes of high concentrations of algae that are potentially toxic for human consumption. Mollusc farming can be affected by HABs because, as filter feeders, they can accumulate ...
    • Machine Learning in Management of Precautionary Closures Caused by Lipophilic Biotoxins 

      Molares-Ulloa, Andrés; Fernández-Blanco, Enrique; Pazos, A.; Rivero, Daniel (Elsevier, 2022)
      [Abstract] Mussel farming is one of the most important aquaculture industries. The main risk to mussel farming is harmful algal blooms (HABs), which pose a risk to human consumption. In Galicia, the Spanish main producer ...