首页|Researchers from NASA Goddard Space Flight Center Publish New Studies and Findings in the Area of Machine Learning (Automatic Detection of Large-scale Flux Rope s and Their Geoeffectiveness with a Machine-learning Approach)
Researchers from NASA Goddard Space Flight Center Publish New Studies and Findings in the Area of Machine Learning (Automatic Detection of Large-scale Flux Rope s and Their Geoeffectiveness with a Machine-learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Fresh data on artificial intelligence are presented in a new report. According to newsreporting originating from Gree nbelt, Maryland, by NewsRx correspondents, research stated, “Detectinglarge-sca le flux ropes (FRs) embedded in interplanetary coronal mass ejections (ICMEs) an d assessingtheir geoeffectiveness are essential, since they can drive severe sp ace weather. At 1 au, these FRs havean average duration of 1 day.”Funders for this research include Research Council of Finland; Nasa Postdoctoral Program Fellowship;Heliophysics Guest Investigator Grant; Solar Orbiter And Pa rker Solar Probe Missions.
NASA Goddard Space Flight CenterGreenb eltMarylandUnited StatesNorth and Central AmericaCyborgsEmerging Techn ologiesMachine Learning
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