首页|Studies from University of Caxias do Sul Yield New Data on Machine Learning (Max ent Machine Learning Model Predicts High Groundwater Potential Areas In a Fractu red Volcanic Aquifer System)
Studies from University of Caxias do Sul Yield New Data on Machine Learning (Max ent Machine Learning Model Predicts High Groundwater Potential Areas In a Fractu red Volcanic Aquifer System)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news originating from Caxias do Sul, Brazil, by NewsRx correspondents, research stated, “Groundwater constitutes a vital re source for public water supply, and thus, it is imperative to recognize the area s of highest potential for increasing availability. The present study employs the MaxEnt model to discern the most favorable areas for locating high -yield well s in Caxias do Sul, Rio Grande do Sul, southern Brazil, where the Serra Geral Aq uifer System, a fractured volcanic aquifer, emerges.”
Caxias do SulBrazilSouth AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of Caxias do Sul
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