首页|New Findings on Machine Learning Described by Investigators at Beijing Institute of Technology (Applying a Mask R-cnn Machine Learning Algorithm for Segmenting Electron Microscope Images of Ceramic Bronze-casting Moulds)
New Findings on Machine Learning Described by Investigators at Beijing Institute of Technology (Applying a Mask R-cnn Machine Learning Algorithm for Segmenting Electron Microscope Images of Ceramic Bronze-casting Moulds)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Fresh data on Machine Learning are presented in a new report. According to news reporting originating in Beijing, People's Republ ic of China, by NewsRx journalists, research stated, "Material characteristics o f casting moulds are crucial for understanding the evolution and diversification of bronze ritual vessel production in Bronze Age China. During relevant studies , a Back Scattered Electron (BSE) image detector is commonly employed to analyze mould microstructure, effectively revealing the volume ratios and shape feature s of the clay matrix, silt/sand particles, and voids." Financial supporters for this research include National Key Research & Development Program of China, Second-phase opening project of the Palace Museum (Research on Multiple Information Management and Visualization for Cultural Reli cs Protection) - Forbidden City Cultural Heritage Conservation Foundation and th e Longfor-Forbidden City Cultural Heritage Fou.
BeijingPeople's Republic of ChinaAsi aAlgorithmsCyborgsEmerging TechnologiesMachine LearningBeijing Institu te of Technology
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