首页|Findings in Machine Learning Reported from Kwame Nkrumah University of Science a nd Technology (Seismic Facies Analysis Using Machine Learning Techniques: a Revi ew and Case Study)
Findings in Machine Learning Reported from Kwame Nkrumah University of Science a nd Technology (Seismic Facies Analysis Using Machine Learning Techniques: a Revi ew and Case Study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting out of Kumasi, Ghana, by New sRx editors, research stated, “Seismic facies analysis which isaimed at identif ying subsurface geological features from seismic data, has evolved due to the ti meconsumingand labor-intensive nature of its traditional approach. To address these challenges, numericalframeworks such as machine learning have been applie d, yet attribute selection still comes with somechallenges, particularly for in experienced interpreters.”
KumasiGhanaAfricaCyborgsEmerging TechnologiesMachine LearningKwame Nkrumah University of Science and Technol ogy
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