Výsledky vyhledávání - "Ulloa, Andrés"

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Harmful algal bloom forecasting. A comparison between stream and batch learning

Autor: Molares-Ulloa, Andres, Rocruz, Elisabet, Rivero, Daniel, Padin, Xosé A., Nolasco, Rita, Dubert, Jesús, Fernandez-Blanco, Enrique

Diarrhetic Shellfish Poisoning (DSP) is a global health threat arising from shellfish contaminated with toxins produced by dinoflagellates. The condition, with its widespread incidence, high morbidity rate, and persistent shellfish toxicity, poses ri

Externí odkaz: http://arxiv.org/abs/2402.13304

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Hybrid Machine Learning techniques in the management of harmful algal blooms impact

Autor: Molares-Ulloa, Andres, Rivero, Daniel, Ruiz, Jesus Gil, Fernandez-Blanco, Enrique, de-la-Fuente-Valentín, Luis

Publikováno v: Computers and Electronics in Agriculture, 211, 107988. (2023)

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 high concentrations of marine biotoxins

Externí odkaz: http://arxiv.org/abs/2402.09271

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Machine Learning in management of precautionary closures caused by lipophilic biotoxins

Autor: Molares-Ulloa, Andres, Fernandez-Blanco, Enrique, Pazos, Alejandro, Rivero, Daniel

Publikováno v: Computers and Electronics in Agriculture, 197, 106956. (2022)

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 of cultivated mussels, the opening and c

Externí odkaz: http://arxiv.org/abs/2402.09266

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