Robotics & Machine Learning Daily News2024,Issue(Dec.11) :75-75.

Findings in Machine Learning Reported from Hangzhou Dianzi University@@(Pyrolysis -gasification Conversion of Waste Pharmaceutical@@Blisters: Thermo-kinetic and Th ermodynamic Study, Fuel Gas@@Analysis and Machine Learning Modeling)

Robotics & Machine Learning Daily News2024,Issue(Dec.11) :75-75.

Findings in Machine Learning Reported from Hangzhou Dianzi University@@(Pyrolysis -gasification Conversion of Waste Pharmaceutical@@Blisters: Thermo-kinetic and Th ermodynamic Study, Fuel Gas@@Analysis and Machine Learning Modeling)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news originatingfrom Hangzhou, People’s Republic of Chi na, by NewsRx correspondents, research stated, “It delved intothe pyrolysis-gas ification behavior of waste pharmaceutical blisters (WPBs), exploring both kinet ics andthermodynamics, and employing machine learning modeling. The decompositi on of WPBs occurred inthree stages, with temperature intervals of 140-350, 350- 500, and 500-900 degrees C, respectively.”

Key words

Hangzhou/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Hangzhou Dianzi University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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