Robotics & Machine Learning Daily News2024,Issue(Jan.30) :4-5.

Reports from University of Science and Technology China Provide New Insights into Machine Learning (A Comprehensive Pyrolysis Study of Sorghum and Reed Stalk: Tg/ir/ms Analysis and Machine Learning-assisted Kinetic Prediction)

Robotics & Machine Learning Daily News2024,Issue(Jan.30) :4-5.

Reports from University of Science and Technology China Provide New Insights into Machine Learning (A Comprehensive Pyrolysis Study of Sorghum and Reed Stalk: Tg/ir/ms Analysis and Machine Learning-assisted Kinetic Prediction)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingfrom Hefei, People’s Republic of China, by NewsRx journalists, research stated, “This work focused oninvestigating the pyrolysis characteristics of sorghum stalk (SS) and reed stalk (RS), whose potentialityas value-added feedstocks for thermochemical conversion is largely unexplored. The experimental method,thermogravimetric-infrared-mass spectrometry, was applied to reveal the thermal decomposition process,evaluate the kinetic and thermodynamic parameters, and identify the gaseous products, which could providefundamental data and valuable information for bioenergy utilization and optimization of reactors.”

Key words

Hefei/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/University of Science and Technology China

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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