Robotics & Machine Learning Daily News2024,Issue(MAY.22) :40-41.

Researchers’ Work from NORSAR Focuses on Machine Learning (Estimating Stratosphe ric Polar Vortex Strength Using Ambient Ocean-generated Infrasound and Stochasti cs-based Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(MAY.22) :40-41.

Researchers’ Work from NORSAR Focuses on Machine Learning (Estimating Stratosphe ric Polar Vortex Strength Using Ambient Ocean-generated Infrasound and Stochasti cs-based Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Kjeller, Norwa y, by NewsRx journalists, research stated, “There are sparse opportunities for d irect measurement of upper stratospheric winds, yet improving their representati on in subseasonal-to-seasonal prediction models can have significant benefits. T here is solid evidence from previous research that global atmospheric infrasound waves are sensitive to stratospheric dynamics.” Financial supporters for this research include NORSAR, Research Council of Norway.

Key words

Kjeller/Norway/Europe/Cyborgs/Emergi ng Technologies/Machine Learning/NORSAR

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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