Robotics & Machine Learning Daily News2024,Issue(MAY.20) :45-45.

New Machine Learning Findings from University of New South Wales Discussed (Pred icting Transient Wind Loads On Tall Buildings In Three-dimensional Spatial Coord inates Using Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(MAY.20) :45-45.

New Machine Learning Findings from University of New South Wales Discussed (Pred icting Transient Wind Loads On Tall Buildings In Three-dimensional Spatial Coord inates Using Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting from Canberra, Australia, b y NewsRx journalists, research stated, “Machine learning (ML) as a subset of art ificial intelligence (AI), has gained significant attention in wind engineering applications over the past decade. Wind load predictions for tall buildings usin g ML studies presented in literature have always been limited to static pressure measurements or time history measurements without considering the spatial coord inates system.”

Key words

Canberra/Australia/Australia and New Z ealand/Cyborgs/Emerging Technologies/Machine Learning/University of New South Wales

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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