Researchers from Institute of Chemical Technology Detail New Studies and Findings in the Area of Machine Learning (Novel Correlation for the Solid-liquid Mass Transfer Coefficient In Stirred Tanks Developed By Interpreting Machine Learning ...)

Robotics & Machine Learning Daily News2024，Issue(Jan.2) ：29-30.

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Researchers from Institute of Chemical Technology Detail New Studies and Findings in the Area of Machine Learning (Novel Correlation for the Solid-liquid Mass Transfer Coefficient In Stirred Tanks Developed By Interpreting Machine Learning ...)

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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 reporting out ofMumbai, India, by NewsRx editors, research stated, “Predicting the solid-liquid mass transfer coefficient(k(SL)) in stirred tanks is of great importance in the chemical, metallurgical, and allied process industries.While there are several correlations available in literature to predict this parameter, they are only applicableto a narrow range of variables.”

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Mumbai/India/Asia/Cyborgs/Emerging Technologies/Machine Learning/Institute of Chemical Technology

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2024

Robotics & Machine Learning Daily News

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