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)

Robotics & Machine Learning Daily News2024，Issue(Mar.28) ：63-64.

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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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Abstract

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.”

Key words

Caxias do Sul/Brazil/South America/Cyborgs/Emerging Technologies/Machine Learning/University of Caxias do Sul

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出版年

2024

Robotics & Machine Learning Daily News

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