Robotics & Machine Learning Daily News2024,Issue(Aug.1) :70-71.

Researchers from Fudan University Publish Findings in Machine Learning (Fast dyn amic prediction of consequences of heavy gas leakage accidents based on machine learning)

Robotics & Machine Learning Daily News2024,Issue(Aug.1) :70-71.

Researchers from Fudan University Publish Findings in Machine Learning (Fast dyn amic prediction of consequences of heavy gas leakage accidents based on machine learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on artificial in telligence. According to news reporting fromShanghai, People’s Republic of Chin a, by NewsRx journalists, research stated, “The field of emergencyrisk manageme nt in chemical parks has been characterized by a lack of fast, precise and dynam ic predictionmethods. The application of computational fluid dynamics (CFD) mod els, which offer the potential fordynamic and precise prediction, has been hind ered by high computational costs.”

Key words

Fudan University/Shanghai/People’s Rep ublic of China/Asia/Algorithms/Computational Fluid Dynamics/Cyborgs/Emergin g Technologies/Fluid Mechanics/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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