Robotics & Machine Learning Daily News2024,Issue(Jan.8) :31-32.

Studies from University of Liverpool Update Current Data on Machine Learning (Sediment Texture and Geochemistry As Predictors of Sub-depositional Environment In a Modern Estuary Using Machine Learning: a Framework for Investigating Clay-coated …)

Robotics & Machine Learning Daily News2024,Issue(Jan.8) :31-32.

Studies from University of Liverpool Update Current Data on Machine Learning (Sediment Texture and Geochemistry As Predictors of Sub-depositional Environment In a Modern Estuary Using Machine Learning: a Framework for Investigating Clay-coated …)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsreporting originating in Liverpool, United Kingdom, by NewsRx journalists, research stated, “Sedimentarycores from the Ravenglass Estuary lack some of the sedimentary structures which can be seen in otherestuarine sands due to their unconsolidated nature, making it difficult to meaningfully interpret depositionalenvironments using standard sedimentological facies analysis. Here we explore how sediment texture,ob-tained from laser particle size analysis, and geochemistry, obtained from portable X-ray fluorescence,can be used independently, or in combination, to automatically classify sub-depositional environment andestuarine zone in a modern estuary.”

Key words

Liverpool/United Kingdom/Europe/Chemistry/Cyborgs/Emerging Technologies/Geochemistry/Machine Learning/University of Liverpool

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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