New Findings from Federal University of Rio de Janeiro - UFRJ in Machine Learning Provides New Insights (A Machine-learning Based Approach To Predict Facies Associations and Improve Local and Regional Stratigraphic Correlations)

Robotics & Machine Learning Daily News2024，Issue(Feb.14) ：34-35.DOI:10.1016/j.marpetgeo.2023.106636

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NETL
NSTL
Elsevier

New Findings from Federal University of Rio de Janeiro - UFRJ in Machine Learning Provides New Insights (A Machine-learning Based Approach To Predict Facies Associations and Improve Local and Regional Stratigraphic Correlations)

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Abstract

Investigators publish new report on Machine Learning. According to news reporting originating in Rio de Janeiro, Brazil, by NewsRx journalists, research stated, “The geological record has challenged stratigraphers through time. Many depositional, tectonic and paleobiological events require stratigraphic positioning to determine temporal relationships among such events.”

Key words

Rio de Janeiro/Brazil/South America/Cyborgs/Emerging Technologies/Machine Learning/Federal University of Rio de Janeiro - UFRJ

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出版年

2024

Robotics & Machine Learning Daily News

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