首页|Ca’ Foscari University of Venice Reports Findings in Machine Learning(Hypoxia e xtreme events in a changing climate: Machine learningmethods and deterministic simulations for future scenarios developmentin the Venice Lagoon)
Ca’ Foscari University of Venice Reports Findings in Machine Learning(Hypoxia e xtreme events in a changing climate: Machine learningmethods and deterministic simulations for future scenarios developmentin the Venice Lagoon)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Venice, Italy, by NewsRx journalists, research stated, “Climate change pressures includethe dissolved o xygen decline that in lagoon ecosystems can lead to hypoxia, i.e. low dissolved oxygenconcentrations, which have consequences to ecosystem functioning includin g biogeochemical cycling from mild to severe disruption. The study investigates the potential of machine learning (ML) and deterministicmodels to predict futur e hypoxia events.”The news correspondents obtained a quote from the research from the Ca’ Foscari University of Venice,“Employing ML models, e.g. Random Forest and AdaBoost, pas t hypoxia events (2008-2019) in theVenice Lagoon were classified with an F1 sco re of around 0.83, based on water quality, meteorological,and spatio-temporal f actors. Future scenarios (2050, 2100) were estimated by integrating hydrodynamic-biogeochemical and climate projections. Results suggest hypoxia events will inc rease from 3.5 % to 8.8% by 2100, particularly in l andward lagoon areas. Summer prediction foresee a rise from 118 events to265 by 2100, with a longer hypoxia-prone season.”
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