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

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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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..

St. LuciaAustraliaAustralia and New ZealandCyborgsEmerging TechnologiesMachine LearningUniversity of Queensl and

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Sep.18)