首页|China University of Mining and Technology Researcher Illuminates Research in Mac hine Learning (Fast and Nondestructive Proximate Analysis of Coal from Hyperspec tral Images with Machine Learning and Combined Spectra-Texture Features)
China University of Mining and Technology Researcher Illuminates Research in Mac hine Learning (Fast and Nondestructive Proximate Analysis of Coal from Hyperspec tral Images with Machine Learning and Combined Spectra-Texture Features)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting out of Beijing, People’s Repu blic of China, by NewsRx editors, research stated, “Proximate analysis, includin g ash, volatile matter, moisture, fixed carbon, and calorific value, is a fundam ental aspect of fuel testing and serves as the primary method for evaluating coa l quality, which is critical for the processing and utilization of coal.” Financial supporters for this research include National Natural Science Foundati on of China Science Foundation Project; Open Research Fund of The State Key Labo ratory For Fine Exploration And Intelligent Development of Coal Resources, Cumt; China University of Mining And Technology (Beijing) Longruan Technology Fund St udent Innovation & Enterprise Program; Doctoral Innovative Talents Cultivation Project At China University of Mining And Technology.
China University of Mining and Technolog yBeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMa chine Learning
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