首页|Studies from Sichuan University Add New Findings in the Area of Machine Learning (Deep Deoxidation of Water In a Miniaturized Annular Rotating Device: Experimen tal Investigation and Machine Learning Modeling)
Studies from Sichuan University Add New Findings in the Area of Machine Learning (Deep Deoxidation of Water In a Miniaturized Annular Rotating Device: Experimen tal Investigation and Machine Learning Modeling)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating from Sichuan, People’s Republic of China, by NewsRx correspondents, research stated, “Conventionalgas- liquid devices exhibit limitations, including inadequate dispersion efficiency a nd significantbackmixing, leading to low conversion and large equipment volume. Thus, a miniaturized annular rotatingdevice (m-ARD) m-ARD) was proposed based on microscale effects and rotating flow field to achieveefficient gas-liquid ma ss transfer and high conversion.”
SichuanPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningSichuan University
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