首页|Studies from Chinese Academy of Sciences in the Area of Machine Learning Reporte d (A Comprehensive Evaluation of Machine Learning On Coral Trace Element Paleoth ermometers for Sea Surface Temperature Reconstruction)
Studies from Chinese Academy of Sciences in the Area of Machine Learning Reporte d (A Comprehensive Evaluation of Machine Learning On Coral Trace Element Paleoth ermometers for Sea Surface Temperature Reconstruction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Machine Lea rning. According to news reporting originating in Guangzhou, People’s Republic o f China, by NewsRx journalists, research stated, “This research introduces a nov el approach to reconstruct sea surface temperature (SST) by developing a univers al coral thermometer using machine learning (ML) algorithms on monthly resolved Porites coral proxies and SST data. A total of 1,202 data sets from 19 corals, c overing SSTs ranging from 21.5 to 31.5 degrees C, with proxies including Sr/Ca, Mg/Ca, Li/Mg, U/Ca, and B/Ca ratios were analyzed.”
GuangzhouPeople’s Republic of ChinaA siaAlgorithmsCyborgsEmerging TechnologiesMachine LearningChinese Acade my of Sciences
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