首页|Universidad de la Republica Reports Findings in Machine Learning (Exploring the nexus between water quality and land use/land cover change in an urban watershed in Uruguay: a machine learning approach)
Universidad de la Republica Reports Findings in Machine Learning (Exploring the nexus between water quality and land use/land cover change in an urban watershed in Uruguay: a machine learning approach)
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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 out of Montevideo, Uruguay, b y NewsRx editors, research stated, “The expansion of urbanareas contributes to the growth of impervious surfaces, leading to increased pollution and altering t heconfiguration, composition, and context of land covers. This study employed m achine learning methods(partial least square regressor and the Shapley Additive exPlanations) to explore the intricate relationshipsbetween urban expansion, l and cover changes, and water quality in a watershed with a park and lake.”
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