Robotics & Machine Learning Daily News2024,Issue(MAY.21) :2-2.

New Machine Learning Study Results from Arba Minch University Described (Spatial and seasonal groundwater quality assessment for drinking suitability using inde x and machine learning approach)

Robotics & Machine Learning Daily News2024,Issue(MAY.21) :2-2.

New Machine Learning Study Results from Arba Minch University Described (Spatial and seasonal groundwater quality assessment for drinking suitability using inde x and machine learning approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news reporting from Arba Minch Un iversity by NewsRx journalists, research stated, “Spatial and seasonal evaluatio n and monitoring of groundwater (GW) quality is essential for the sustainable ma nagement of this priceless resource and the provision of safe drinking water. Ne vertheless, GW quality appraisal was not given due attention in the current stud y area (flat terrain part of the Tana sub-basin).”

Key words

Arba Minch University/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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