首页|Data on Machine Learning Described by Researchers at Nanjing University (Machine-learning-based Morphological Analyses of Leaf Epidermal Cells In Modern and Fossil Ginkgo and Their Implications for Palaeoclimate Studies)
Data on Machine Learning Described by Researchers at Nanjing University (Machine-learning-based Morphological Analyses of Leaf Epidermal Cells In Modern and Fossil Ginkgo and Their Implications for Palaeoclimate Studies)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Nanjing, People’s Republic of China, by NewsRx correspondents, researchstated, “Leaf stomata form an essential conduit between plant tissue and the atmosphere, thus presentinga link between plants and their environments. Changes in their properties in fossil leaves have been studiedwidely to infer palaeo-atmospheric-CO(2 )in deep time, ranging from the Palaeozoic to the Cenozoic.”
NanjingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNanjing University
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