Robotics & Machine Learning Daily News2024,Issue(Sep.18) :27-28.

Data from University of Queensland Provide New Insights into Machine Learning (O ptimization of a Coal Mine Roof Characterization Model Using Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Sep.18) :27-28.

Data from University of Queensland Provide New Insights into Machine Learning (O ptimization of a Coal Mine Roof Characterization Model Using Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating in St. Lucia, Australia , by NewsRx journalists, research stated, “Predicting areas of increased propens ity for roof deformation is crucial for the proactive management of geotechnical risk in underground coal mines. Current practices rely largely on assessing roc k mass strength or characterization indices in isolation.” Financial support for this research came from Department of Industry, Science an d Resources and Geotechnicoal Pty Ltd..

Key words

St. Lucia/Australia/Australia and New Zealand/Cyborgs/Emerging Technologies/Machine Learning/University of Queensl and

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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