Robotics & Machine Learning Daily News2024,Issue(Sep.20) :78-79.

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)

Robotics & Machine Learning Daily News2024,Issue(Sep.20) :78-79.

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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Abstract

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.

Key words

China University of Mining and Technolog y/Beijing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Ma chine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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