首页|Beijing Normal University Reports Findings in Machine Learning (Study on remote sensing inversion and temporal-spatial variation of Hulun lake water quality based on machine learning)
Beijing Normal University Reports Findings in Machine Learning (Study on remote sensing inversion and temporal-spatial variation of Hulun lake water quality based on machine learning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting originating in Beijing, People’s Republic of China, by NewsRx journalists, research stated, “HulunLake is facing significant water quality degradation, necessitating effective monitoring for safety. Traditionalmethods lack the necessary spatial and temporal coverage, underscoring the need for a remote sensingmodel.”
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningRemote Sensing
NETL
NSTL
