首页|National Forestry and Grassland Administration Researchers Update Understanding of Machine Learning (ICESat-2 data denoising and forest canopy height estimation using Machine Learning)

National Forestry and Grassland Administration Researchers Update Understanding of Machine Learning (ICESat-2 data denoising and forest canopy height estimation using Machine Learning)

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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 from Beijing, People’ s Republic of China, by NewsRx journalists, research stated, “Supervisedclassif ication methods can distinguish between noise and signal in ice, cloud, and land elevation satellite-2(ICESat-2) data across various feature perspectives and a utonomously optimize parameters. Nevertheless,model generalization remains a si gnificant limitation for practical applications.”

National Forestry and Grassland Administ rationBeijingPeople’s Republic of ChinaAsiaCyborgsEmerging Technologie sMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.4)