Robotics & Machine Learning Daily News2024,Issue(MAY.21) :29-30.

New Data from Northeast Agricultural University Illuminate Findings in Machine L earning (Machine Learning-assisted Ftir Spectra To Predict Freeze-drying Curve o f Food)

Robotics & Machine Learning Daily News2024,Issue(MAY.21) :29-30.

New Data from Northeast Agricultural University Illuminate Findings in Machine L earning (Machine Learning-assisted Ftir Spectra To Predict Freeze-drying Curve o f Food)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating in Harbin, Peopl e’s Republic of China, by NewsRx journalists, research stated, “With the demand for improving freeze-drying (FD) process efficiency and protecting product chara cteristics, intelligent and robust analysis of process parameters for drawing ef fective FD curves has become the development direction of modern FD process. In this study, a prompt and applicable prediction model of FD parameters was design ed by FTIR associated with chemometrics.”

Key words

Harbin/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Northeast Agricultural Unive rsity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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