Robotics & Machine Learning Daily News2024,Issue(Dec.26) :61-62.

Researchers from China University of Mining and Technology Provide Details of Ne w Studies and Findings in the Area of Machine Learning (Machine Learning Algorit hm To Predict Methane Adsorption Capacity of Coal)

Robotics & Machine Learning Daily News2024,Issue(Dec.26) :61-62.

Researchers from China University of Mining and Technology Provide Details of Ne w Studies and Findings in the Area of Machine Learning (Machine Learning Algorit hm To Predict Methane Adsorption Capacity of Coal)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Current study results on Machine Learning have be en published. According to news reporting out of Xuzhou, People’s Republic of Ch ina, by NewsRx editors, research stated, “Accurately predictingmethane adsorpti on capacity in coal is crucial for assessing coalbed methane resources and ensur ing safeextraction. Conventional methane isotherm adsorption experiments often suffer from human error andexperimental artifacts, leading to inaccurate and po orly reproducible outcomes.”Funders for this research include National Natural Science Foundation of China ( NSFC), InternationalCooperation and Exchange Program (NSFC-RS).

Key words

Xuzhou/People’s Republic of China/Asia/Algorithms/Alkanes/Cyborgs/Emerging Technologies/Machine Learning/Methane/China University of Mining and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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