Findings from Shanghai Jiao Tong University Yields New Findings on Machine Learn ing (Prediction of Pressure Drop In Solid-liquid Twophase Pipe Flow for Deep-se a Mining Based On Machine Learning)

Robotics & Machine Learning Daily News2024，Issue(Jul.12) ：43-43.

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Findings from Shanghai Jiao Tong University Yields New Findings on Machine Learn ing (Prediction of Pressure Drop In Solid-liquid Twophase Pipe Flow for Deep-se a Mining Based On Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting out of Shanghai, People’s Re public of China, by NewsRx editors, research stated, “In deep-sea mining, the a ccurate and rapid prediction of the pressure drop in a solid-liquid two-phase pi pe flow(SLPF) with different parameters including particles, pipes, and flow fi elds, remains an issue yet to befully resolved. In this study, an extensive inv estigation of the pressure drop in a slpf is conducted usingmachine-learning te chniques.”

Key words

Shanghai/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Shanghai Jiao Tong Univers ity

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出版年

2024

Robotics & Machine Learning Daily News

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