首页|Data on Machine Learning Described by Researchers at National University of Defe nse Technology (Bias Correction of Arctic Sea Ice Thickness Products Based On Fa ctor Selection and Machine Learning Methods)
Data on Machine Learning Described by Researchers at National University of Defe nse Technology (Bias Correction of Arctic Sea Ice Thickness Products Based On Fa ctor Selection and Machine Learning Methods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Changsha, People’s Rep ublic of China, by NewsRx editors, research stated, “With theaccelerated meltin g of Arctic sea ice in the context of climate change, accurate sea ice thickness observationsare needed for long-term climate simulation, short-term prediction , and shipping navigation. Limitedby their special geographical location, in-si tu data of Arctic sea ice thickness is scarce, and the quality ofobservation pr oducts from existing satellites and models is uneven.”
ChangshaPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNational University of Def ense Technology
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