首页|Researchers from University of New South Wales Report Recent Findings in Machine Learning (Smoothing and Approximation of Grassland Fire Loading Data for Engine ering Structures By Capped Extended Support Vector Regression)
Researchers from University of New South Wales Report Recent Findings in Machine Learning (Smoothing and Approximation of Grassland Fire Loading Data for Engine ering Structures By Capped Extended Support Vector Regression)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning is now available. According to news reporting from Sydney,Australia, by NewsRx journalists, rese arch stated, “This research proposes a machine learning-aided datasmoothing and approximation scheme to investigate grassland fire loading for engineering stru ctures. Theinvestigations on grassland fire loading have significant impacts on wildfire-resistant design, building codes,regulations, and the like in specifi c regions.”
SydneyAustraliaAustralia and New Zea landAlgorithmsCyborgsEmerging TechnologiesEngineeringMachine LearningSupport Vector RegressionUniversity of New South Wales
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