首页|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)
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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NETL
NSTL
Elsevier
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.”
Rio de JaneiroBrazilSouth AmericaCyborgsEmerging TechnologiesMachine LearningFederal University of Rio de Janeiro - UFRJ
NETL
NSTL
Elsevier
