Robotics & Machine Learning Daily News2024,Issue(Aug.9) :30-31.

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)

Robotics & Machine Learning Daily News2024,Issue(Aug.9) :30-31.

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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Abstract

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.”

Key words

Kumasi/Ghana/Africa/Cyborgs/Emerging Technologies/Machine Learning/Kwame Nkrumah University of Science and Technol ogy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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